Citation: Jan-Peter Hildebrandt. Pore-forming virulence factors of Staphylococcus aureus destabilize epithelial barriers-effects of alpha-toxin in the early phases of airway infection[J]. AIMS Microbiology, 2015, 1(1): 11-36. doi: 10.3934/microbiol.2015.1.11
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A reliable energy supply is crucial for the sustainable socio-economic development of every nation. Access to electricity has a significant effect on telecommunication services, healthcare and water supply. Meanwhile, in some parts of the world, many people do not have access to electricity from the main grid [1]. A considerable portion of energy use worldwide is from fossil fuels. Various works have mentioned the concern of the eventual depletion of fossil fuels. Some researchers [2] noted that in addition to the release of carbon emissions, the regular usage of fossil fuels leads to depletion. Hence, the exploration of renewable energy ought to be given a higher priority to ensure that this technology is well developed to provide sustainable electricity at an affordable rate while helping to reduce the concerns about resource depletion. Solar energy is abundant, non-polluting, and free [3]. Due to its widespread availability, solar energy (especially through solar photovoltaics technology) is widely used around the world [4]. Rooftop solar photovoltaics can contribute to energy independence while helping to reduce the concern around greenhouse gas (GHG) emissions. Lower GHG emissions from widespread solar photovoltaic (PV) implementation can help in addressing the climate change issue [5]. With the aid of solar cells, solar PV power generation converts solar radiation directly into electricity [6]. PV is recognized as a cost-competitive and sustainable technology that provides a clean energy source while contributing to reducing global environmental problems [7]. In the last 20 years, both in Europe and around the world, PV installations have become a popular form of renewable energy sources [8]. Another study [9] also mentioned that rooftop solar PV systems can contribute significantly to energy transition in Europe. Grid-connected solar power plants help to achieve a reduction in the polluting emissions from fossil power plants [10].
Households that adopt solar PV panels can reduce their average electricity unit cost by either self-consuming the self-generated electricity or by feeding the generated electricity into the grid [11]. However, it is important to note that among other things, the profitability of solar PV systems is dependent on the total cost of the solar energy systems, the available space for the energy systems, and the government regulations in the locality. Multi-dimensional indicators that affect the estimation of solar energy potential include the economics of solar products, government policies, technological development, local solar energy resources, land cover, etc., [3]. Among other factors, social acceptance is one of the factors that need to be considered in the selection of large PV power plants [12]. In addition to factors such as aesthetics, political climate, perspectives and pressures from influential stakeholders (especially those who have high economic and political powers in the community), social acceptance can be affected by the economic feasibility of solar PV systems. In the effort to provide electricity for nearly 1 billion unconnected people in developing countries, there are high hopes for market-based dissemination of off-grid technologies to complement expensive grid extension [13].
PV rooftops have great potential for reducing reliance on conventional energy while helping with energy security during emergencies. PV rooftops also have significant potential in remote areas [5]. As the global population grows, the need for energy for sustainable development increases. Hence, there is a need for continuous improvement in the approach to renewable energy harvesting to supplement and better manage global 'non-renewable' energy reserves for present and future generations. Solar energy generation from rooftops has not come without various challenges. However, these challenges can be addressed by various novel approaches to maximize the potential for solar energy harvesting in residential communities. In some places, usable rooftop areas are limited by shading effects and obstacles on the roof. In a day, the shadow profile on a building rooftop varies constantly due to the ever-changing position of the sun, resulting in a significant variation of the usable rooftop areas at different hours [14]. Complex shading effects and rooftop availabilities make the planning of large-scale distributed rooftop systems a critical challenge [15]. This challenge can be mitigated by improved city planning while ensuring that no building causes an undue shading effect on another building. Roof designs to maximize solar harvesting potential would also be helpful. In high-density cities, there is a huge need for optimal packing and planning of large-scale distributed rooftop PV systems. The major barriers to large-scale deployment of rooftop PV systems are lack of awareness among consumers about the system, lack of manufacturing facilities, high upfront cost, lack of skilled workers, lack of business models and regulatory challenges [16]. Technical experience in the manufacturing sector and limitations in domestic technology are some of the major barriers inhibiting the progress in rooftop adoption [5]. This challenge can be addressed by the intentional creation of more solar panel manufacturing facilities in different communities to support local needs and also to provide adequate export to other regions around the globe.
The energy policy in different places mitigates against adequate exploration of solar energy. In some places, complex shading effects on rooftops of buildings are not a major issue. The amount of electricity that can be generated from the rooftops of the buildings is limited to household use while potential opportunities for sharing of excess energy that is generated through a 'community share program' can be explored. A practice that limits the amount of solar energy that can be generated from rooftops to household use reduces the potential for solar economics to be very attractive. On the other hand, adequate policy upgrades to maximize the use of solar energy as a means for sustainable management of non-renewable natural resources can help increase the economic sustainability outlook while improving the market penetration for renewable energy systems. There is interest in the exploration of solar energy systems for different applications. Solar energy can be exploited to produce heat energy through solar thermal collectors and also generate electricity through solar (PV). A combined photovoltaic-thermal (PVT) system is attracting interest to maximize the benefits of solar energy [17]. Some researchers [18] noted that solar vehicles (renewable energy-based systems) with no emissions of greenhouse gases can be considered a substitute for modern-day automobiles. The use of rooftop solar photovoltaics and batteries to provide energy for electric buses is seen as a good approach to the reduction of GHG emissions and street-level air pollution in high-density cities [19]. Some researchers [20] mentioned the application of solar energy in trains. Another report [21] made mention of solar bike paths in the Netherlands. Although there are several advantages to the use of solar energy, some other factors mitigate against its application at various times in different places around the globe. Disadvantages of solar electricity include its limitations by weather. Since solar panels need sunlight to work well, their performance drop during cloudy and rainy days [22], making storage of electricity that is produced a necessity. The economic attractiveness of solar energy is also an important factor that can influence the effort to increase the penetration of solar energy systems. Efforts to have the most efficient and optimum services with minimum cost are essential in every industry [18]. Some researchers [23] reported that due to a high discount rate and weather with medium annual solar radiation intensity, the economic competitiveness of photovoltaic/thermal technology is not very high in the city that was studied in their research. This shows the need for continuous study on how to increase the economic competitiveness of PV modules for all the applications where its use is desirable.
The objective of this study is to evaluate the impact of multiple variables on the economic feasibility of rooftop solar energy systems.
This research objective is evaluated by: The time for the cumulative savings on investment in solar energy to become positive.
(1) Is roof-top solar energy economically feasible?
(2) What measures can be taken to enhance the economic feasibility of solar energy systems?
(3) What areas of improvement exist to improve the economic feasibility of roof-top solar energy?
(4) What impact do interest rates, subsidies and increased micro-generation capacity have on the economic attractiveness of solar energy systems (as measured by cumulative solar savings)?
Records of electricity bills obtained for 5 different households allow for an evaluation of the household electricity usage for the year. It also allows for an estimation of the capacity of solar panels that can serve the electrical energy needs of the household for the year. Quotes for the installation of solar panels that will cater to the electrical energy needs of the households were received from a representative of a solar energy installation company. To evaluate the attractiveness of the cost of investment in solar energy systems, the cost estimate that was received from a solar panel installation company for one of the five residential families and the monthly distribution/transmission fees for electricity from the grid were used to estimate how long it will take the savings on solar investments to become positive. The time taken for the cumulative solar savings to become positive was also evaluated with varied interest rates while keeping micro-electricity generation capacity constant. The solar savings for each year were calculated by subtracting the earnings from micro-electricity generation from the sum of the yearly loan payment, the transmission/distribution fees, administrative fees, and tax. Note that the calculation for solar savings will be dependent on the different kinds of costs that are associated with the production and use of solar energy. Among other things, a previous work [24] considered the cost of incremental insurance and maintenance in the calculation of solar savings.
The principal loan amount $ \left({P}_{l}\right) $ illustrated in Eq 1 is calculated by subtracting the government incentives $ \left({G}_{i}\right) $ and the downpayment $ \left({D}_{p}\right) $ from the sum of the quote from the contractor $ \left({Q}_{t}\right) $ and the tax $ \left({T}_{x}\right) $. i.e.,
| $ {P}_{l} = {Q}_{t}+{T}_{x}-{G}_{i}-{D}_{p} $ | (1) |
This study
(1) Evaluate the impact of varied interest rates on time for solar savings to become positive.
(2) Evaluate how government incentives influence the time for solar savings to become positive (i.e., indirect influence on the attractiveness of solar investments).
(3) Evaluate how the increase in the microgeneration credit affects the time for solar savings to become positive (indirectly increasing the attractiveness of electricity generation from solar power).
(4) Evaluate how the increase in microgeneration capacity of rooftop solar energy can contribute to the reduction of GHG emissions.
The number of years for cumulative solar savings to become positive with varying interest rates (1%, 3%, 5%, and 7.2%) was evaluated without increasing the electricity distribution and administrative fees. The impact of the increase in the transmission fees on the time for the cumulative solar savings to become positive was evaluated at a 1% interest rate. The cumulative solar savings is a sum of the solar savings beginning from the time of installation of the solar panels until the period that is being evaluated.
It is assumed that the revenue from micro-generation, administrative fees, and distribution fees increase with the rate of inflation. The number of compounding periods is assumed to be 365 for all the years that were evaluated. Although the quotes that were received for the installation of solar panels that will cater to the households vary, the estimated principal loan amount for analysis of the economic feasibility of solar panels for this study is ＄21,735.00. Note that it is likely that the distribution fees may be reduced after the installation of solar panels (depending on local rules and regulations around distribution fees). However, in evaluating the impact of distribution fees, for this illustration, it is assumed that the electricity distribution fees are unchanged, except when it is scaled up to evaluate the impact of distribution fees on increased microgeneration potential from individual rooftops.
Among other factors, the price of solar panels as relating to the upfront cost, and the expected payback period are important factors that can affect the widespread use of solar energy.
The cost of installation of solar panels differs from one project to the other. Various factors such as the cost of the PV panels, the cost of associated materials for installation, labor cost, costs to purchase/rent the installation equipment, and the technicality of the job may affect the cost of the installation of solar panels. A previous work [25] gave the cost of installation of solar panels for various communities in Canada. Table 1 shows the electricity usage (for a 12-month period), and estimates from a solar panel installation company for the cost to install solar panels for five households.
| Customer | Annual electricity consumption (kWh) | Capacity of panel recommended by the solar contractor (kW) | Estimated cost (by contractor) to get the customer set up with solar panels |
| Residential Customer 1 | 5771 | 5.2 | ＄16,000.00 |
| Residential Customer 2 | 8206 | 8 | ＄23,000.00 |
| Residential Customer 3 | 10350 | 9.7 | ＄25,500.00 |
| Residential Customer 4 | 13194 | 12 | ＄30,000.00 |
| Residential Customer 5 | 10664.5 | 9.5 | ＄25,000.00 |
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The author [26], reported that the average installation cost per watt ranges from ＄2.34–＄2.59 in Ontario to ＄2.51–＄2.77 in Alberta to ＄3.53–＄4.32 in Newfoundland and Labrador, and to ＄4.00+ in Nunavut. To compare the cost from the contractor with data from previous work, the average installation cost for solar panels in Alberta is multiplied by the estimated capacity (watts) for the solar panels for the household. This means that for a 9.7 KW system above, the estimated cost for installation of solar panels in Alberta will be in the range of 9700 watts × ＄2.51/Watts to 9700 × ＄2.77 /watts = ＄24,347 to ＄26,869. The study further noted that the actual price of the system depends on different factors including the quality of the equipment that is used, the size of the system and the complexity of the job. It was also noted that the installation prices can easily go higher than ＄3 per watt for high-quality installers and premium equipment. The above high investment cost for the installation of solar panels indicates that there is a need for adequate measures to improve the economic attractiveness of solar energy systems. Table 2 shows the parameters that were selected as base conditions for further analysis of how multiple variables can affect the economic attractiveness of solar energy systems.
| Parameters | Base conditions |
| Quote from contractor (Residential customer # 2) | ＄23,000.00 |
| Tax | ＄1,150.00 |
| Government incentives for installing solar panels | ＄- |
| 10% Downpayment | ＄2,415.00 |
| Principal (loan amount) | ＄21,735.00 |
| Amortization Period (years) | 25 |
| Annual Nominal Interest rate | 0.072 |
| Number of compounding periods | 365 |
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Multiple variables such as initial cost of investment, interest rates, subsidies, micro-generation capacity, electricity distribution fees and other associated costs can have an impact on the economic attractiveness of solar energy systems. Interest rate is the amount that a lender charges a borrower for the use of its asset. i.e., the amount the bank charges people when money is borrowed from the bank. The discount rate is the interest rate that the Federal Reserve Banks charge commercial banks and depository institutions for overnight loans. While the discount rate can be used to calculate the present value of future cash flows, the interest rate is not used in present value calculations [27]. Another work [28] reported that the prime rate will increase to 7.2% as the policy rate is increased to 5% by the Bank of Canada. The economic analysis in this study is based on the assumption of a 5% discount rate from the central bank and a 7.2% interest rate from the commercial banks. The solar energy process economics described by an author [29] indicates that given a discount rate d, the present value or present worth, P (Eq. 2) of a future cash flow F, in n years from now is expressed as:
| $ P = \frac{F}{{\left(1+d\right)}^{n}} $ | (2) |
Given a yearly inflation rate $ i $, and a purchase cost $ E $ at the end of the first year, a future cost at the end of n years can be represented as illustrated in Eq 3:
| $ F = E{\left(1+i\right)}^{n-1} $ | (3) |
Canadian inflation rate for 2022 is 6.8% [30]. Assuming an annual inflation rate of 6.8% for the distribution fees, and the administration fees, the expression in Eq 3 is used to forecast the future values of the administrative cost, the distribution fees and the microgeneration credit. Note that the inflation rate fluctuates over time. A similar expression by some authors [24] for the future cost. i.e., for a cost, $ E $ (that is incurred at the end of the first period) having an inflation rate $ i $, the recurring cost $ F $, at the end of the nth period can be represented as presented above.
The work [24] noted that the total present worth of n future payment is represented as:
| $ E\left\lceil {\sum\limits _{j = 1}^{n}\frac{{\left(1+i\right)}^{j-1}}{{\left(1+d\right)}^{j}}} \right\rceil $ | (4) |
Where $ PWF\left(n, i, d\right) $ is the present worth factor expressed as $ \left\lceil {\sum _{j = 1}^{n}\frac{{\left(1+i\right)}^{j-1}}{{\left(1+d\right)}^{j}}} \right\rceil $
| $ when\;i\ne d,\;\;\;\;PWF\left(n,i,d\right) = \left\lceil {\frac{1}{d-i}\left(1-{\left(\frac{1+i}{1+d}\right)}^{n}\right)} \right\rceil $ |
| $ when\;i = d,\;\;\;\;PWF\left(n,i,d\right) = \frac{n}{1+i} $ |
Some other authors [31] gave various formulas for economic analysis. For example, the future value of a single payment $ {F}_{u} $ was represented in Eq 5 as follows:
| $ {F}_{u} = {P}_{r}{\left(1+i\right)}^{n} $ | (5) |
Where $ {F}_{u} $ is the amount that will be paid back in future (at the end of n years) if the condition of the loan is such that an interest, $ i $ is included at a compound rate, and $ {P}_{r} $ is the principal. When payments are made at regular intervals, where $ A $ (Eq. 7) is a uniform end of period payments that continue for period $ n $, the uniform series of payment formula for the total equivalent amount $ {F}_{u} $ at the end of period $ n $ is expressed in Eq 6 as:
| $ {F}_{u} = A\left[\frac{{\left(1+i\right)}^{n}-1}{i}\right] $ | (6) |
| $ A = \frac{i*{P}_{r}}{1-{\left(1+i\right)}^{-n}} $ | (7) |
An explanation of mortgage interest calculation was provided in a previous work [32]. An explanation of effective interest rates was also provided in another work [33].
| $ {i}_{eff} = {\left(1+\frac{{r}_{nom}}{{N}_{comp}}\right)}^{{N}_{comp}}-1 $ | (8) |
The effective interest rate (Eq 8) was used to calculate the monthly interest rates. This is related to the monthly interest rate as illustrated in Eq 9.
Where $ {r}_{nom} $ is the nominal interest rate, $ {N}_{comp} $ is the number of compounding periods, $ {i}_{eff} $ is the effective annual interest rate, and m is the number of months in the year. The periodic interest rate (monthly), $ {i}_{m} $ was calculated using the formula below:
| $ {i}_{m} = \left(\sqrt[m]{1+{i}_{eff}}\right)-1 $ | (9) |
For the evaluation of monthly payments in this study, the periodic payment was calculated by substituting the monthly interest payment (Eq 9) as the interest in the uniform end-of-period payment (Eq 7). The amount contributed towards paying off the principal in every month is calculated by subtracting the interest accrued within that month from the monthly payments. The new balance owing is calculated by subtracting the amount that was contributed towards paying off the principal (including any extra payments made) from the balance owing at the end of the previous period. i.e.,
The new balance owing = Balance owing at the end of the previous period − the amount contributed towards the principal during the present period − extra payment made during the present period.
At an interest of 7.2% and no government subsidy for solar panels, Table 3 shows the cost of the loan, the yearly interest, principal payment, remaining principal and the present worth of interest payment.
| S/No. | Yearly payment | Principal payment | Interest payment | Remaining principal | Present worth of interest payment |
| 1 | ＄1,880.34 | ＄321.37 | ＄1,558.97 | ＄22,678.63 | ＄1,484.73 |
| 2 | ＄1,880.34 | ＄345.36 | ＄1,534.98 | ＄22,333.27 | ＄1,392.27 |
| 3 | ＄1,880.34 | ＄371.14 | ＄1,509.20 | ＄21,962.13 | ＄1,303.70 |
| 4 | ＄1,880.34 | ＄398.85 | ＄1,481.50 | ＄21,563.28 | ＄1,218.83 |
| 5 | ＄1,880.34 | ＄428.62 | ＄1,451.72 | ＄21,134.66 | ＄1,137.46 |
| 6 | ＄1,880.34 | ＄460.61 | ＄1,419.73 | ＄20,674.04 | ＄1,059.42 |
| 7 | ＄1,880.34 | ＄495.00 | ＄1,385.34 | ＄20,179.05 | ＄984.54 |
| 8 | ＄1,880.34 | ＄531.95 | ＄1,348.39 | ＄19,647.10 | ＄912.65 |
| 9 | ＄1,880.34 | ＄571.66 | ＄1,308.68 | ＄19,075.44 | ＄843.59 |
| 10 | ＄1,880.34 | ＄614.33 | ＄1,266.01 | ＄18,461.11 | ＄777.22 |
| 11 | ＄1,880.34 | ＄660.19 | ＄1,220.15 | ＄17,800.92 | ＄713.40 |
| 12 | ＄1,880.34 | ＄709.47 | ＄1,170.87 | ＄17,091.45 | ＄651.99 |
| 13 | ＄1,880.34 | ＄762.43 | ＄1,117.91 | ＄16,329.01 | ＄592.85 |
| 14 | ＄1,880.34 | ＄819.35 | ＄1,061.00 | ＄15,509.67 | ＄535.88 |
| 15 | ＄1,880.34 | ＄880.51 | ＄999.84 | ＄14,629.16 | ＄480.94 |
| 16 | ＄1,880.34 | ＄946.24 | ＄934.11 | ＄13,682.93 | ＄427.93 |
| 17 | ＄1,880.34 | ＄1,016.87 | ＄863.47 | ＄12,666.06 | ＄376.73 |
| 18 | ＄1,880.34 | ＄1,092.78 | ＄787.57 | ＄11,573.28 | ＄327.25 |
| 19 | ＄1,880.34 | ＄1,174.35 | ＄705.99 | ＄10,398.93 | ＄279.39 |
| 20 | ＄1,880.34 | ＄1,262.01 | ＄618.33 | ＄9,136.92 | ＄233.04 |
| 21 | ＄1,880.34 | ＄1,356.22 | ＄524.12 | ＄7,780.70 | ＄188.13 |
| 22 | ＄1,880.34 | ＄1,457.46 | ＄422.88 | ＄6,323.24 | ＄144.56 |
| 23 | ＄1,880.34 | ＄1,566.25 | ＄314.09 | ＄4,756.99 | ＄102.26 |
| 24 | ＄1,880.34 | ＄1,683.17 | ＄197.17 | ＄3,073.82 | ＄61.14 |
| 25 | ＄1,880.34 | ＄1,808.82 | ＄71.53 | ＄1,265.00 | ＄21.12 |
| Total | ＄47,008.57 | ＄21,735.00 | ＄25,273.57 | ＄16,251.01 |
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Total interest on the principal (for $ z $ number of periodic payments) is obtained by summation of the interest accrued in each period as shown below. For the illustration used, interest $ i $ was assumed to be constant for the amortization period.
Where $ {P}_{0} $ is the original principal loan amount, the total interest accrued from year $ x = 1 $ to year $ x = z $ is the sum of the product of the remaining principal on the loan and the interest rate i.
Total interest accrued = $ \sum _{x = 1}^{z}\left[{(P}_{0}*{i}_{1}\right)+\left({p}_{1}*{i}_{2}\right)+\left({P}_{2}*{i}_{3}\right)+\dots \dots \left({P}_{z-1}*{i}_{z}\right)] $.
The expression $ {P}_{z-1} $ represents the balance owing at the end of the preceding period. Note that there may be some differences in the results from economic analysis. For example, there may be some differences in the total amount that will be paid in interest and the monthly payment (depending on the assumptions and how it is calculated). This study recommends a review of how interest rates are calculated to ensure consistency and also to ensure that people are not overburdened by the impact of interest rates on loans. From Table 3, it is obvious that the total present worth of interest payment is significant at a 7.2% interest rate.
Table 1 shows that the electricity usage for the customer whose data is analyzed in Table 3 is 8206 kWh. Previous works have noted that the amount of electricity that is produced from solar panels decreases with the years. Assuming the solar panel is able to generate this amount of electricity for a 25-year period (neglecting the depreciation in the efficiency with time), the amount of electricity from the solar panels will be 25 × 8206 kWh = 205,150 kWh. The total cost of the loan is ＄ 47,008.57 (including interest payment).
|
$ Thecostofelectricitytoconsumer=TotalcostoftheloanforsolarpanelsAmountofelectricitytobeproducedbythesolarpanel $
|
In the above situation,
| $ The\;cost\;of\;electricity\;to\;consumer = \frac{＄\mathrm{47,008.57}}{\mathrm{205,150}kWh} = 0.229 ＄/kWh $ |
If desired, the total cost of the loan may also be calculated by adding the present worth of interest payment to the principal payment. The above illustration does not include the cost of distribution/transmission that the utility companies will charge to supply energy during the hours and months when the solar panel alone is not able to meet the electricity demand of the household. Canada Greener Homes Loan program by Natural Resources Canada [34] offers an interest-free loan (from ＄5,000 to ＄40,000) for 10 years to help Canadians homes be more energy efficient. Hence, if the household meets the eligibility requirement, then the cost of the loan will be greatly reduced.
If the above scenario is for a no-interest loan, the cost of electricity from solar panels will be
| $ The\;cost\;of\;electricity\;to\;consumer = \frac{＄\mathrm{21,735.00}}{\mathrm{205,150}kWh} = 0.106 ＄/kWh $ |
Note that the solar panels may still generate electricity after a 25-year period, in that case, the cost per kWh of electricity that is generated from solar panels will be reduced (assuming there is no significant associated maintenance cost for the solar power system). Table 4 shows the average cost of electricity for the five residential customers. The most cost-effective system is the one that gives the lowest life-cycle cost or highest life-cycle savings [29]. Hence, when comparing the cost of electricity from solar panels with the cost of electricity from the community grid, in addition to the direct physical cost of owning the solar energy systems, further research is recommended on indirect cost savings such as reduction in health-related expenses as a result of the expected reduction in illnesses that are related to air pollution.
| Customer | Average cost of electricity (＄/kWh), for a 1-year period (2022–2023) |
| Customer 1 | ＄0.07 |
| Customer 2 | ＄0.17 |
| Customer 3 | ＄0.08 |
| Customer 4 | ＄0.07 |
| Customer 5 | ＄0.07 |
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Note that the electricity bills that were used in the study were for the years 2022–2023. However, it appears the cost of electricity from the grid has increased in recent times. Continuous study on the economic attractiveness of renewable energy systems is recommended to ensure that renewable energy systems can be maintained at an attractive level to encourage its use as a tool to better manage non-renewable energy systems for present and future generations.
Interest rate is an important economic factor that has a tendency to have a high impact on the economic feasibility of solar energy systems for micro-electricity generation through rooftop PV systems. In terms of the monthly economic impacts on the customer, the total amount to be paid by the customer, and the number of years for cumulative solar savings to become positive, Table 5 and Figure 1 indicate how the economic feasibility of solar investment can be significantly affected by variations in interest rates.
| Interest rate (%) | Monthly payments on amortization period of 25 years (＄) | Total amount to be paid by the customer for 25-year amortization period (＄) | Total amount that goes towards interest payment (＄) | Principal loan amount (＄) | Number of years for solar savings to become positive | Number of years for cumulative solar savings to become positive. |
| 1 | ＄81.92 | ＄ 24,575.16 | ＄2,840.16 | ＄21,735.00 | 14 | 24 |
| 2 | ＄92.14 | ＄27,642.54 | ＄5,907.54 | ＄21,735.00 | 16 | 26 |
| 3 | ＄103.11 | ＄30,933.26 | ＄9,198.26 | ＄21,735.00 | 18 | 28 |
| 4 | ＄114.80 | ＄34,440.84 | ＄12,705.84 | ＄21,735.00 | 19 | 29 |
| 5 | ＄127.19 | ＄38,156.53 | ＄16,421.53 | ＄21,735.00 | 21 | 30 |
| 6 | ＄140.23 | ＄42,069.60 | ＄20,334.60 | ＄21,735.00 | 22 | 32 |
| 7 | ＄153.89 | ＄46,167.85 | ＄24,432.85 | ＄21,735.00 | 24 | 33 |
| 7.2 | ＄156.70 | ＄47,008.57 | ＄25,273.57 | ＄21,735.00 | 24 | 33 |
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Table 5 shows that the total amount to be paid by the customer for a 25-year amortization period increases significantly with interest rates. At a 7.2% interest rate, the amount to be paid by the customer is more than doubled. Note that for the illustration in Table 5, the principal loan amount is ＄21,735.00. Figure 1 shows how the monthly payment is expected to increase with the increase in the interest rates. The increase in the monthly payment for a 25-year amortization period increased more than 90% when the interest rate is increased from 1% to 7.2%.
Maintenance of zero interest or charging a low amount as administrative fees for renewable energy systems can help ensure that people in various communities will not feel much economic burden for investment in solar energy or other renewable energy systems as compared with a policy that allows renewable energy investments to be severely impacted by increased interest rates. Policy decisions that allow the effect of increased interest rates to impact the total cost of solar energy investments will constitute roadblocks to the attractiveness of solar energy systems. Hence, to improve the economic attractiveness of rooftop solar harvesting, it is desirable to maintain policies that shield solar energy investments from the impact of increasing interest rates. High interest on loans means that the annual payment of the loans will increase if the number of years to repay the loans is fixed and the loan is on a variable-interest policy. With higher interest on loans with variable rate policies, consumers' periodic payments will increase, meaning that people will have less money to afford essential commodities. Depending on individual salaries, the standard of living of people in the community may reduce when they are not able to afford essential things like good food for a balanced diet, good housing, adequate access to recreational facilities, funds for team sports, etc.
For the low-income, an increase in interest rates that results in an increase in monthly payments may result in significant economic stress for the families. Sometimes, it is said that increasing interest rates is a measure to curtail inflation. However, it is important to have policies that ensure that increasing interest rates do not harm people in the community in general. There is a need to ensure that adequate attention is given to other factors that may affect the prices of goods and commodities. For example, the natural law of demand and supply indicates that when the supply is less than the demand, the price may increase. Hence, it is important to ensure a good balance for various aspects of the economy including housing, energy, transportation, etc. In terms of the laws of demand and supply, every government should ensure that measures to monitor the level of demand and supply for every essential commodity exist to avoid unnecessary increases in prices. In terms of human factors such as price gouging that may result in unnecessary increases in the prices of goods and services, there is a need for adequate regulations to ensure that the prices of goods and commodities are not increased unnecessarily. Further research is recommended on how hardship can be minimized for medium and low-income people in the community during periods of high interest rates. Further study is also recommended on how the laws of demand and supply and adequate government policies can be used to control inflation rather than excessive focus on interest rates as a means to control inflation.
Figure 2 also shows that the amount that will be paid as interest by the customer significantly increases as the interest rate rises from 1% to 7.2%. Although the present worth of the interest in 25 years at a rate of 5% discount rate is less than the total amount of interest to be paid by the customer in 25 years, the total amount paid on interest is still a sizeable sum of money. Hence, it is important to ensure that increasing interest rates does not severely impact renewable energy investments. It is fine to allow some administrative fees. Sometimes, government intervention may be needed in different places if the local manufacturers are not able to produce goods and commodities that are essential for daily living in a community. For example, some communities may benefit from government intervention to provide capital for the establishment of companies that manufacture materials for renewable energy systems on a large scale. Some government policies have shown that targeted policies can be applied to shield people from the impact of high interest. An example is Canada's Federal Greener Homes Loan Program which provides interest-free financing to help Canadians make their homes more energy-efficient and comfortable (up to ＄40,000) with a 10-year payback period [34]. Policies like this are expected to increase the economic attractiveness of renewable energy systems.
Micro-generation capacity of solar energy from rooftops is the amount of electricity that each household is allowed to produce from solar panels on their rooftops. Table 6 shows an illustration of the effect of varied micro-generation capacity on the economic attractiveness of rooftop solar energy systems.
| Capacity for micro-generation of electricity from solar energy | Interest rate (%) | Number of years for solar savings to become positive | Number of years for cumulative solar savings to become positive |
| Micro-generation of electricity (from solar energy) limited to household needs | 1 | 14 | 24 |
| Two times increase in micro-generation of electricity by household | 1 | 3 | 5 |
| Three times increase in micro-generation of electricity by household | 1 | 1 | 1 |
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Table 6 above shows that increasing the microgeneration capacity of households increases the economic attractiveness of solar energy systems for households. At an interest rate of 1%, as the micro-electricity generation capacity increases (without increasing the electricity distribution/transmission fees and administrative fees), the number of years for the cumulative solar savings to become positive decreases rapidly. However, Figure 3 indicates that when the electricity distribution fee is increased in the same proportion as the micro-generation capacity, the number of years for cumulative solar savings to become positive does not reduce at an attractive rate as it was when the electricity distribution fee is not increased. This shows that the economic attractiveness of solar energy investments can be significantly affected by the amount that is charged as distribution/transmission fees for electricity that flows between the homeowners and the electricity grid in the community. Some other researchers [35] also reported that better economic satisfaction can be achieved from larger solar rooftop system sizes.
Irregular outlines and rooftop obstacles contribute to the challenge of manual PV packing [15]. This challenge can be mitigated by the adoption of rooftop solar systems that can be easily customized to various shapes and sizes without a reduction in their efficiency. A previous work [36] proposed an optimal planning strategy that can be used for municipal-scale distributed PV systems in high-density cities. One of the previous works that was cited mentioned the issue of uneven solar energy intensity distribution on an individual rooftop. Although this could be a concern, the variability of the intensity of solar energy at various points is a fact that should be accepted in planning for solar energy. To address the economic competitiveness in the production of solar PV system materials, training students in solar PV production and installation would be a beneficial addition to the educational curriculum at various levels of education (e.g., primary, secondary, colleges, etc.) in different parts of the globe. Further research on the reduction of the production and installation costs for solar PV systems will be commendable. Although accurate rooftop solar potential characterization is important, it is challenging [14]. A scholar [37] demonstrated how solar power that can be generated from rooftops will vary with various factors such as roof pitch/angle of tilt of the solar panels, azimuth, etc.
Efforts to keep the distribution/transmission fees as low as possible will help increase the economic attractiveness of solar energy systems. Under the given illustration, when the micro-generation capacity of the solar energy systems is doubled, and the distribution fees are increased by the same degree, the number of years for solar savings to become positive increases from 3 to 13 years while the time for the cumulative solar savings to become positive increased from 5 to 22 years. When distribution fees increase by the same degree by 3 times, the number of years for solar savings to become positive increased from 1 to 12 years while the number of years for the cumulative solar savings to become positive increased from 1 to 21 years. This also indicates that the amount that is charged for distribution fees can have a significant impact on the economic profitability of solar energy investments for homeowners.
In Figure 4, while varying the capacity of micro-electricity generation from rooftops, the number of years for cumulative solar savings to become positive with varying interest rates (1%, 3%, 5%, and 7.2%) was evaluated (without increasing the electricity distribution fees). However, the effect of inflation was allowed on the cost of electricity distribution, administrative fees, and microgeneration credits.
On their website, an organization [38] noted that Alberta Utilities Commission Rule 024 states that annual generation of electricity by Micro generators (individual generators) is not permitted to exceed 100% of their annual consumption. Figure 4 indicates that the financial attractiveness of solar panels by households can be increased by increasing the allowable micro-electricity generation capacity. As in the previous illustration, the number of years for the cumulative solar savings to become positive reduces with an increase in the micro-electricity generation capacity by the household. However, an increase in interest rate showed a significant impact on the financial attractiveness of investment in solar energy systems. i.e., As interest rates increase, the number of years for solar savings and the cumulative solar savings to become positive increases. This will yield a reduced economic attractiveness for solar energy investments. The impact of high interest rates is not desirable for solar energy investments. The effect of the increase in electricity microgeneration potential for households is measured by the increase in revenue. The quote that was given by the solar contractor was scaled up in the same magnitude that the revenue for the microgeneration of electricity was scaled up. Figures 5 and 6 show some cases in which the roof areas of some buildings are under-utilized for solar power harvesting. These pictures were taken during a walk-through of some neighbourhoods in a city.
Figures 5 and 6 show that there are opportunities to increase the amount of solar power generation from the rooftops of different households. When adequately applied (without allowing transmission fees to overshadow the economic benefits), solar panels can become more economically attractive to homeowners. With this, the world will be moving closer to the goal of sustainable management of non-renewable resources for present and future generations. The world will also benefit from improved air quality when electricity is generated from less polluting sources. In a study on the technical and economic study of PVT coverage on an integrated building-solar-heat pump system, some researchers [23] also reported that the result of a thermal dynamic software (TRNSYS) that was used to model the annual coverage of the photovoltaic/thermal module through solar fraction determination indicated that with an increase in photovoltaic/thermal area, there is a significant increase in solar electrical fraction.
Table 7 shows a comparison of the effect of varied levels of incentives on the economic outlook for solar investments at a 1% interest rate. As the level (amount) of incentives increases, the total amount of interest that is paid by the customer reduces. This can generate an economic attractiveness for the installation of solar panels. However, previous results above showed that when renewable energy investments are not shielded from the negative impacts of increased interest rates, an increase in interest rates can have an adverse impact on the economic attractiveness of solar panels.
| Interest rate (%) | Solar energy incentive (＄) | Total amount of interest to be paid by the customer | Number of years for solar savings to become positive | Number of years for cumulative solar savings to become positive. |
| 1 | 0 | ＄2,840.16 | 14 | 24 |
| 1 | 2000 | ＄2,604.95 | 13 | 22 |
| 1 | 4000 | ＄2,369.74 | 11 | 19 |
| 1 | 6000 | ＄2,134.53 | 10 | 17 |
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Figure 7 also shows that the total amount of interest to be paid by the customer reduces with an increase in the incentives for solar installations. However, the increase in the tax overshadows the positive effect of the incentives.
Figure 8 indicates that the number of years for the solar savings to become positive reduces with the amount of incentives that are applied but this is overshadowed by the impact of increase in interest rates on solar energy systems. i.e., higher interest rates can reduce the expected effect of the incentive in the long term. Hence, it is important to ensure that adequate measures are taken to ensure that increased interest rates do not nullify the expected attractiveness of other incentives for solar panels.
Government subsidies are still needed for solar PV systems to be competitive with other forms of energy [5]. However, similar to the trend in Figure 8, Figure 9 also showed that increased interest rates overshadow the benefits of the specified incentives for solar panels.
Among the three factors (interest rates, incentives, and increased micro-generation capacity) that were evaluated, Figure 10 indicated that increasing the amount of electricity that is allowed to be generated from rooftops will result in the highest economic attractiveness for end-users. This is also expected to move the world closer to the goal of sustainable management of non-renewable resources for present and future generations.
Given the above results, this study recommends the encouragement of policies that allow for a maximization of rooftop spaces for solar energy generation in residential and commercial buildings. With the aid of bi-directional meters, the amount of electricity that flows to and from the grid to each household can be measured. If desired, excess energy that is sold to the community grid may be counted as taxable income after the panels have exceeded the payback time on investments. However, such tax should be monitored and carefully designed in a way that does not significantly reduce the economic attractiveness of rooftop solar harvesting.
Various previous works have mentioned the environmental benefits of solar energy systems [39–47]. Some researchers [40] cited previous works that indicated that the GHG emissions of amorphous solar PV systems range from 15.6 to 50 gCO2/kWhe. The locations for the studies referenced for amorphous solar PV systems are China, the US, and the Netherlands. The GHG emissions for mono-crystalline solar PV systems range from 44 to 280 gCO2/kWhe. The locations for the studies referenced for monocrystalline solar PV systems are the UK, Netherlands, India, Japan, Singapore and the US. The GHG emissions for poly-crystalline solar PV systems range from 9.4 to 104 gCO2/kWhe. The locations for the studies referenced for polycrystalline solar PV systems are China, Italy, Japan, the US, and Greece. Based on information on the life cycle energy components of mono-crystalline PV panels that was adopted from the literature and the final yield of monitored PV systems, another study [45] reported that the average GHG emission for PV systems is 49.33 gCO2 eq/kWh. The average GHG emission for PV systems that were mentioned in [45] was selected for the illustration below because that study was done in the same country as the data that is under evaluation in this study.
With an electricity use of 8,206 kWh for the year for customer 2, allowing the customer to increase the amount of electricity that is generated from photovoltaics on rooftops by 2 times what the household can use in a year will mean that the household can generate an additional 8,206 kWh extra electricity per year. If customer 2 is allowed to generate thrice the amount of electricity that the family can use on an annual basis, this means that the household can generate 16,412 kWh of electricity extra.
Using the average GHG emissions for 0.59 kgCO2eq/kWh for a region for year 2020 to estimate the GHG emissions for electricity from the grid (as mentioned in previous works [48,49]) and 0.04933 KgCO2 eq/kWh as average GHG emissions from PV systems as mentioned in the study by [45], the annual GHG savings by increasing the amount of electricity to be generated from rooftop PV systems by 2-folds and 3folds in the illustration above will be as projected below.
This is estimated by subtracting the expected GHG emissions per kWh of electricity from PV systems on a lifecycle basis from the GHG emission per kWh of electricity from the grid. i.e.,
$ (0.59\frac{kgC{O}_{2}eq}{kWh}\times 8206kWh)-(0.04933\frac{KgC{O}_{2}eq}{kWh}\times 8206kWh) = 4841.54kgC{O}_{2}eq-404.80kgC{O}_{2}eq = 4436.74kgC{O}_{2}eq $ per annum (savings in GHG emission) at a 100% increase in the micro-generation capacity of the household.
If this level of savings of GHG emissions is maintained for 25 years, this is expected to result in $ 25\times \mathrm{4,436.74} = \mathrm{110,918.45}kgC{O}_{2}eq $ savings in GHG emissions for a 25-year period for which some PV systems may be under warranty.
Similar to the method described above, a 3-fold increase in micro-generation from the household means that an additional 16,412 kWh of electricity can be generated by the household.
$ (0.59\frac{kgC{O}_{2}eq}{kWh}\times \mathrm{16,412}kWh)-(0.04933\frac{KgC{O}_{2}eq}{kWh}\times \mathrm{16,412}kWh) = 9683.08kgC{O}_{2}eq-809.60kgC{O}_{2}eq = 8873.48kgCO2eq $ savings in GHG emission for the year at a 3-fold increase in the micro-generation capacity of the household.
If this level of savings of GHG emissions is maintained for 25 years, this is expected to result in $ 25\times 8873.48 = 224837kgC{O}_{2}eq $ savings in GHG emissions for a 25-year period for which some PV systems may be under warranty.
Note that these projected savings in GHG emissions may be reduced as technological innovations to improve the emissions from the electricity grid are implemented. The GHG emissions coefficient from the grid above is for illustration purposes only. The GHG emission coefficient presented above is for the year 2020 while the electricity usage that is evaluated is between the years 2022 to 2023.
Policy upgrades to allow for a maximization of the amount of solar energy that each household can harvest from the electricity grid will not only help create economic attractiveness for solar energy systems for individual households and industries, it will also help in the effort to reduce the concern about GHG emissions. In addition, it can be a means to boost the economic well-being of people in various communities. With the increase in the micro-generation capacity of electricity by households comes a question of how the excess electricity that is generated can be used.
Excess solar energy can be shared with other people in the community either through a direct sale to the energy utility companies or through community energy-sharing programs that may come in different categories. The community share solar system is a system in which the solar energy that is generated in a community can be shared by members of that community. Although the community share solar system has reached its maturity, lack of attention to the socio-political aspect and especially the institutional and regulatory aspects are barriers to the emergence of the community solar system and its potential position as a leading energy system [4]. Excess energy that is produced may also be stored for use at later times or exported to other communities that may need it. The illustrations provided in this study indicated that there is room for improvement in the amount of solar energy that is allowed to be harvested from rooftops in different places. Incentives have the potential to create economic attractiveness for people to install solar energy systems. However, an increase in the amount of solar energy that can be harvested from rooftops will generate more economic attractiveness for solar energy and at the same time help in moving the world closer to the goal of reducing GHG emissions in various communities. This study recommends further exploration of means to harvest renewable energy resources to allow for sustainable management of non-renewable energy resources for present and future generations.
This study reviews the economic attractiveness of solar energy systems with multiple variables. The impact of varied amount of interest rates, micro-generation capacity for electricity produced from PV panels, and incentives were evaluated. The result of the study showed that harvesting solar energy from rooftops can be economically feasible. However, there is a need to focus attention on the variables that can increase the economic attractiveness of solar energy while ensuring that adequate strategies are in place to ensure that factors that can reduce the economic attractiveness of renewable energy systems are duly mitigated. Among other things, the study found that:
(1) An increase in the micro-generation capacity of households (without increasing the transmission and distribution fees) generated the highest economic attractiveness for solar energy systems.
(2) Comparative increase in the electricity distribution fees reduces the economic attractiveness that is expected from an increase in the micro-generation capacity from individual rooftops. Hence, it is recommended that adequate policies should be made to ensure that the expected economic attractiveness from an increase in the microgeneration capacity from individual buildings is not overshadowed by an increase in the electricity transmission fees.
(3) Although government subsidies and measures to reduce the negative impact of high interest rates can be a means to increase the economic attractiveness of solar energy systems, increasing the micro-generation capacity without increasing the electricity transmission fees shows the highest positive effect on the economic attractiveness of solar energy systems.
This study also recommends that policy updates to encourage the increase in micro-generation capacity of electricity from rooftops of individual households and industries be given a higher consideration to improve the economic attractiveness of solar PV systems while creating better paths to manage non-renewable energy resources for present and future generations. It is recommended that increased micro-electricity generation be accompanied by adequate community sharing programs and proper system planning and integration to ensure that the entire community has reliable backup during periods when electricity supply from solar energy systems is low. The practical implication of these recommendations for policymakers and the global community is that maximizing solar PV energy systems will move the world closer to the goal of sustainable management of non-renewable energy resources while reducing GHG emissions in the global community.
When the goal is to achieve a significant reduction in GHG emissions, associated policies should support the maximization of opportunities to reduce GHG emissions. This includes policy updates to remove roadblocks for the maximization of the available roof area of the building for the generation of solar power (for property owners that maximize their roof space for solar energy harvesting). Allowing the excess energy that is generated from microgrids to contribute to the electricity from the grid means that the overall GHG emissions from electricity in the community can be significantly reduced when a significant number of people maximize the solar power generation potential from their rooftops. In the effort to increase the use of renewable energy to supplement 'non-renewable' energy resources, there is a need for policy updates in different places to increase the attractiveness of PV systems. This includes a careful design of policies that reduce the payback time for solar energy systems for residential and commercial buildings. The findings of this study can be helpful for such strategy development to increase the economic attractiveness of rooftop solar energy harvesting. Efforts to reduce the total cost (material and labor) to have a PV system will go a long way to reduce the payback time while creating more basis for attractiveness for solar energy systems. When a customer notifies the utility company of the intent to maximize the roof space with solar generation potential, this customer becomes a partner in the effort to reduce the greenhouse gas emissions from the electricity grid. The utility company may adjust the amount of power that is produced and supplied to the grid from the utility company accordingly. This study recommends that property owners who maximize their rooftop spaces for solar harvesting should not be denied the opportunity to connect to the community grid. Rather efficient sharing of such renewable energy harvested to other members of the community should be encouraged.
Adequate efforts to ensure that the material production cost, purchase, and installation costs for solar energy systems are maintained at a reasonable level are recommended. The impact of increased interest rates overshadows the economic attractiveness of incentives at the incentive levels that were evaluated. Hence, this study also recommends that adequate measures to shield renewable energy systems from the impact of high interest rates be given higher consideration (in places where it is not already a norm) to increase the economic attractiveness of renewable energy systems.
(1) Continuous study on the economic feasibility of renewable energy systems is recommended to ensure that high economic factors such as high interest rates, utility distribution fees, bottlenecks from local policies, etc. do not constitute a hindrance to a reasonable adoption of renewable energy systems.
(2) Further studies on how to reduce the ownership cost of solar energy systems is also recommended.
(3) Further studies on increased awareness of the benefits of rooftop PV systems and how to increase PV production capacity within various communities globally is recommended.
(4) In the effort to develop more economically friendly solar PV systems, pilot studies on the benefits of inclusion of training on PV system production and installation in primary, secondary and college educational programs are recommended.
(5) Further study is recommended on best measures to ensure that varying weather conditions do not have significant negative impacts on the degradation rates of solar panels.
(6) Further study on the minimization of maintenance costs of solar PV systems while extending their lifespan is recommended.
Changes in different variables in economic analysis can result in a change in the result. For example, a change in the cost of solar energy systems will affect the time that it will take the solar savings to become positive. However, the methods that were described in this study can be used to evaluate the impact of multiple variables on the economic outlook of solar investments. If solar power will be more attractive to end-users, it is recommended that adequate attention be paid to the reduction of the cost of purchase and installation of solar energy systems. Reduction in investment cost for solar energy systems is expected to result in a reduction in the payback time for consumers.
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
The author declares no conflict of interest.
The project conception, design, data acquisition, analysis, evaluation and discussion of the results was performed by the Author (Adekunle Mofolasayo).
This study did not receive any external funding that was specifically assigned to it.
| [1] |
Peacock SJ, de Silva I, Lowy FD (2001) What determines nasal carriage of Staphylococcus aureus? Trends Microbiol 9: 605-610. doi: 10.1016/S0966-842X(01)02254-5
|
| [2] |
Foster TJ. The Staphylococcus aureus “superbug” (2004) J Clin Invest 114: 1693-1696. doi: 10.1172/JCI200423825
|
| [3] |
Wertheim HF, Melles DC, Vos MC, et al. (2005) The role of nasal carriage in Staphylococcus aureus infections. Lancet Infect Dis 5: 751-762. doi: 10.1016/S1473-3099(05)70295-4
|
| [4] |
Eriksen NH, Espersen F, Rosdahl VT, et al. (1995) Carriage of Staphylococcus aureus among 104 healthy persons during a 19-month period. Epidemiol Infect 115: 51-60. doi: 10.1017/S0950268800058118
|
| [5] |
Weidenmaier C, Goerke C, Wolz C (2012) Staphylococcus aureus determinants for nasal colonization. Trends Microbiol 20: 243-250. doi: 10.1016/j.tim.2012.03.004
|
| [6] |
Foster TJ (2009) Colonization and infection of the human host by staphylococci: Adhesion, survival and immune evasion. Vet Dermatol 20: 456-470. doi: 10.1111/j.1365-3164.2009.00825.x
|
| [7] |
O'Brien LM, Walsh EJ, Massey RC, et al. (2002) Staphylococcus aureus clumping factor b (Clfb) promotes adherence to human type I cytokeratin 10: Implications for nasal colonization. Cell Microbiol 4: 759-770. doi: 10.1046/j.1462-5822.2002.00231.x
|
| [8] |
Hauck CR, Ohlsen K (2006) Sticky connections: Extracellular matrix protein recognition and integrin-mediated cellular invasion by Staphylococcus aureus. Curr Opin Microbiol 9: 5-11. doi: 10.1016/j.mib.2005.12.002
|
| [9] | Mongodin E, Bajolet O, Cutrona J, et al. (2002) Fibronectin-binding proteins of Staphylococcus aureus are involved in adherence to human airway epithelium. Infect Immun 70: 620-630. |
| [10] |
Roche FM, Downer R, Keane F, et al. (2004) The N-terminal a domain of fibronectin-binding proteins A and B promotes adhesion of Staphylococcus aureus to elastin.J Biol Chem 279: 38433-38440. doi: 10.1074/jbc.M402122200
|
| [11] |
Weidenmaier C, Kokai-Kun JF, Kristian SA, et al. (2004) Role of teichoic acids in Staphylococcus aureus nasal colonization, a major risk factor in nosocomial infections. Nat Med 10: 243-245. doi: 10.1038/nm991
|
| [12] |
Patti JM, Allen BL, McGavin MJ, et al. (1994) MSCRAMM-mediated adherence of microorganisms to host tissues. Annu Rev Microbiol 48: 585-617. doi: 10.1146/annurev.mi.48.100194.003101
|
| [13] |
Clarke SR, Foster SJ (2006) Surface adhesins of Staphylococcus aureus. Adv Microb Physiol 51: 187-224. doi: 10.1016/S0065-2911(06)51004-5
|
| [14] |
van Belkum A, Melles DC, Nouwen J, et al. (2009) Co-evolutionary aspects of human colonisation and infection by Staphylococcus aureus. Infect Genet Evol 9: 32-47. doi: 10.1016/j.meegid.2008.09.012
|
| [15] |
Armstrong-Esther CA (1976) Carriage patterns of Staphylococcus aureus in a healthy non-hospital population of adults and children. Ann Hum Biol 3: 221-227. doi: 10.1080/03014467600001381
|
| [16] |
Bassetti S, Dunagana DP, D'Agostino RB, et al. (2001) Nasal carriage of Staphylococcus aureus among patients receiving allergen-injection immunotherapy: Associated factors and quantitative nasal cultures. Infect Contr Hosp Epidem 22: 741-745. doi: 10.1086/501857
|
| [17] |
Miller M, Cespedes C, Bhat M, et al. (2007) Incidence and persistence of Staphylococcus aureus nasal colonization in a community sample of HIV-infected and -uninfected drug users. Clin Infect Dis 45: 343-346. doi: 10.1086/519429
|
| [18] |
von Eiff C, Becker K, Machka K, et al. (2001) Nasal carriage as a source of Staphylococcus aureus bacteremia. Study group. N Engl J Med 344: 11-16. doi: 10.1056/NEJM200101043440102
|
| [19] |
Fritz SA, Tiemann KM, Hogan PG, et al. (2013) A serologic correlate of protective immunity against community-onset Staphylococcus aureus infection. Clin Infect Dis 56: 1554-1561. doi: 10.1093/cid/cit123
|
| [20] |
Peacock SJ, Moore CE, Justice A, et al. (2002) Virulent combinations of adhesin and toxin genes in natural populations of Staphylococcus aureus. Infect Immun 70: 4987-4996. doi: 10.1128/IAI.70.9.4987-4996.2002
|
| [21] |
Melles DC, Gorkink RF, Boelens HA, et al. (2004) Natural population dynamics and expansion of pathogenic clones of Staphylococcus aureus. J Clin Invest 114: 1732-1740. doi: 10.1172/JCI200423083
|
| [22] | Kluytmans J, van Belkum A, Verbrugh H (1997) Nasal carriage of Staphylococcus aureus: Epidemiology, underlying mechanisms, and associated risks. Clin Microbiol Rev 10: 505-520. |
| [23] |
Lee MH, Arrecubieta C, Martin FJ, et al. (2010) A postinfluenza model of Staphylococcus aureus pneumonia. J Infect Dis 201: 508-515. doi: 10.1086/650204
|
| [24] |
Handler MZ, Schwartz RA (2014) Staphylococcal scalded skin syndrome: Diagnosis and management in children and adults. J Eur Acad Dermatol Venereol 28: 1418-1423. doi: 10.1111/jdv.12541
|
| [25] | Ibler KS, Kromann CB (2014) Recurrent furunculosis - challenges and management: A review. Clin Cosm Invest Dermatol 7: 59-64. |
| [26] |
Malik Z, Roscioli E, Murphy J, et al. (2015) Staphylococcus aureus impairs the airway epithelial barrier in vitro. Int Forum Allergy Rhinol 5: 551-556. doi: 10.1002/alr.21517
|
| [27] |
Barbier F, Andremont A, Wolff M, et al. (2013) Hospital-acquired pneumonia and ventilator-associated pneumonia: Recent advances in epidemiology and management. Curr Opin Pulm Med 19: 216-228. doi: 10.1097/MCP.0b013e32835f27be
|
| [28] |
Cohen J (2002) The immunopathogenesis of sepsis. Nature 420: 885-891. doi: 10.1038/nature01326
|
| [29] |
Fournier B, Philpott DJ (2005) Recognition of Staphylococcus aureus by the innate immune system. Clin Microbiol Rev 18: 521-540. doi: 10.1128/CMR.18.3.521-540.2005
|
| [30] |
Foster TJ (2005) Immune evasion by staphylococci. Nat Rev Microbiol 3: 948-958. doi: 10.1038/nrmicro1289
|
| [31] |
Enright MC, Robinson DA, Randle G, et al. (2002) The evolutionary history of methicillin-resistant Staphylococcus aureus (MRSA). Proc Nat Acad Sci USA 99: 7687-7692. doi: 10.1073/pnas.122108599
|
| [32] |
Deresinski S (2005) Methicillin-resistant Staphylococcus aureus: An evolutionary, epidemiologic, and therapeutic odyssey. Clin Infect Dis 40: 562-573. doi: 10.1086/427701
|
| [33] |
Kahl BC (2010) Impact of Staphylococcus aureus on the pathogenesis of chronic cystic fibrosis lung disease. Int J Med Microbiol 300: 514-519. doi: 10.1016/j.ijmm.2010.08.002
|
| [34] |
Ganesan S, Comstock AT, Sajjan US (2013) Barrier function of airway tract epithelium. Tiss Barriers 1: e24997. doi: 10.4161/tisb.24997
|
| [35] |
Knowles MR, Boucher RC (2002) Mucus clearance as a primary innate defense mechanism for mammalian airways. J Clin Invest 109: 571-577. doi: 10.1172/JCI0215217
|
| [36] |
Button B, Cai LH, Ehre C, et al. (2012) A periciliary brush promotes the lung health by separating the mucus layer from airway epithelia. Science 337: 937-941. doi: 10.1126/science.1223012
|
| [37] |
Schleimer RP, Kato A, Kern R, et al. (2007) Epithelium: At the interface of innate and adaptive immune responses. J Allergy Clin Immunol 120: 1279-1284. doi: 10.1016/j.jaci.2007.08.046
|
| [38] |
Kato A, Schleimer RP (2007) Beyond inflammation: Airway epithelial cells are at the interface of innate and adaptive immunity. Curr Opin Immunol 19: 711-720. doi: 10.1016/j.coi.2007.08.004
|
| [39] |
Diamond G, Legarda D, Ryan LK (2000) The innate immune response of the respiratory epithelium. Immunol Rev 173: 27-38. doi: 10.1034/j.1600-065X.2000.917304.x
|
| [40] |
Bals R, Hiemstra PS (2004) Innate immunity in the lung: How epithelial cells fight against respiratory pathogens. Eur Resp J 23: 327-333. doi: 10.1183/09031936.03.00098803
|
| [41] |
Zaas AK, Schwartz DA (2005) Innate immunity and the lung: Defense at the interface between host and environment. Trends Cardiovasc Med 15: 195-202. doi: 10.1016/j.tcm.2005.07.001
|
| [42] |
Parker D, Prince A (2011) Innate immunity in the respiratory epithelium. Am J Respir Cell Mol Biol 45: 189-201. doi: 10.1165/rcmb.2011-0011RT
|
| [43] |
Evans SE, Xu Y, Tuvim MJ, et al. (2010) Inducible innate resistance of lung epithelium to infection. Annu Rev Physiol 72: 413-435. doi: 10.1146/annurev-physiol-021909-135909
|
| [44] |
Ausubel FM (2005) Are innate immune signaling pathways in plants and animals conserved? Nat Immunol 6: 973-979. doi: 10.1038/ni1253
|
| [45] |
Sukhithasri V, Nisha N, Biswas L, et al. (2013) Innate immune recognition of microbial cell wall components and microbial strategies to evade such recognitions. Microbiol Res 168: 396-406. doi: 10.1016/j.micres.2013.02.005
|
| [46] |
Garcia-Vallejo JJ, van Kooyk Y (2009) Endogenous ligands for C-type lectin receptors: The true regulators of immune homeostasis. Immunol Rev 230: 22-37. doi: 10.1111/j.1600-065X.2009.00786.x
|
| [47] |
Kawai T, Akira S (2007) TLR signaling. Sem Immunol 19: 24-32. doi: 10.1016/j.smim.2006.12.004
|
| [48] |
Beutler B, Jiang Z, Georgel P, et al. (2006) Genetic analysis of host resistance: Toll-like receptor signaling and immunity at large. Annu Rev Immunol 24: 353-389. doi: 10.1146/annurev.immunol.24.021605.090552
|
| [49] |
Bubeck Wardenburg J, Williams WA, Missiakas D (2006) Host defenses against Staphylococcus aureus infection require recognition of bacterial lipoproteins. Proc Nat Acad Sci USA 103: 13831-13836. doi: 10.1073/pnas.0603072103
|
| [50] |
Strober W, Murray PJ, Kitani A, et al. (2006) Signalling pathways and molecular interactions of NOD1 and NOD2. Nat Rev Immunol 6: 9-20. doi: 10.1038/nri1747
|
| [51] |
Ginsburg I (2002) Role of lipoteichoic acid in infection and inflammation. Lancet Infect Dis 2: 171-179. doi: 10.1016/S1473-3099(02)00226-8
|
| [52] |
Schwandner R, Dziarski R, Wesche H, et al. (1999) Peptidoglycan- and lipoteichoic acid-induced cell activation is mediated by Toll-like receptor 2. J Biol Chem 274: 17406-17409. doi: 10.1074/jbc.274.25.17406
|
| [53] |
Beisswenger C, Coyne CB, Shchepetov M, et al. (2007) Role of p38 MAP kinase and transforming growth factor-beta signaling in transepithelial migration of invasive bacterial pathogens. J Biol Chem 282: 28700-28708. doi: 10.1074/jbc.M703576200
|
| [54] |
Soong G, Reddy B, Sokol S, et al. (2004) TLR2 is mobilized into an apical lipid raft receptor complex to signal infection in airway epithelial cells. J Clin Invest 113: 1482-1489. doi: 10.1172/JCI200420773
|
| [55] | Inohara N, Ogura Y, Fontalba A, et al. (2003) Host recognition of bacterial muramyl dipeptide mediated through NOD2. Implications for Crohn's disease. J Biol Chem 278: 5509-5512. |
| [56] |
Gomez MI, Lee A, Reddy B, et al. (2004) Staphylococcus aureus protein a induces airway epithelial inflammatory responses by activating TNFR1. Nat Med 10: 842-848. doi: 10.1038/nm1079
|
| [57] |
Gomez MI, Prince A (2008) Airway epithelial cell signaling in response to bacterial pathogens. Pediatr Pulmonol 43: 11-19. doi: 10.1002/ppul.20735
|
| [58] | Prince AS, Mizgerd JP, Wiener-Kronish J, et al. (2006) Cell signaling underlying the pathophysiology of pneumonia. Am J Physiol 291: L297-L300. |
| [59] |
Cheon IS, Woo SS, Kang SS, et al. (2008) Peptidoglycan-mediated IL-8 expression in human alveolar type II epithelial cells requires lipid raft formation and MAPK activation. Mol Immunol 45: 1665-1673. doi: 10.1016/j.molimm.2007.10.001
|
| [60] |
Liu L, Mul FP, Lutter R, et al. (1996) Transmigration of human neutrophils across airway epithelial cell monolayers is preferentially in the physiologic basolateral-to-apical direction. Am J Respir Cell Mol Biol 15: 771-780. doi: 10.1165/ajrcmb.15.6.8969272
|
| [61] |
Kishimoto T (2010) IL-6: From its discovery to clinical applications. Int Immunol 22: 347-352. doi: 10.1093/intimm/dxq030
|
| [62] |
Gauldie J, Richards C, Harnish D, et al. (1987) Interferon beta 2/B-cell stimulatory factor type 2 shares identity with monocyte-derived hepatocyte-stimulating factor and regulates the major acute phase protein response in liver cells. Proc Nat Acad Sci USA 84: 7251-7255. doi: 10.1073/pnas.84.20.7251
|
| [63] |
Ruminy P, Gangneux C, Claeyssens S, et al. (2001) Gene transcription in hepatocytes during the acute phase of a systemic inflammation: From transcription factors to target genes. Inflamm Res 50: 383-390. doi: 10.1007/PL00000260
|
| [64] |
Chavez-Galan L, Arenas-Del Angel MC, et al. (2009) Cell death mechanisms induced by cytotoxic lymphocytes. Cell Mol Immunol 6: 15-25. doi: 10.1038/cmi.2009.3
|
| [65] | Moreilhon C, Gras D, Hologne C, et al. (2005) Live Staphylococcus aureus and bacterial soluble factors induce different transcriptional responses in human airway cells. Physiol Genom 20: 244-255. |
| [66] | Below S, Konkel A, Zeeck C, et al. (2009) Virulence factors of Staphylococcus aureus induce Erk-MAP kinase activation and c-fos expression in S9 and 16HBE14o- human airway epithelial cells. Am J Physiol 296: L470-L479. |
| [67] | Räth S, Ziesemer S, Witte A, et al. (2013) S. aureus hemolysin A-induced IL-8 and IL-6 release from human airway epithelial cells is mediated by activation of p38- and Erk-MAP kinases and additional, cell-type specific signalling mechanisms. Cell Microbiol 15: 1253-1265. |
| [68] | Rose F, Dahlem G, Guthmann B, et al. (2002) Mediator generation and signaling events in alveolar epithelial cells attacked by S. aureus alpha-toxin. Am J Physiol 282: L207-L214. |
| [69] |
Bartlett AH, Foster TJ, Hayashida A, et al. (2008) Alpha-toxin facilitates the generation of CXC chemokine gradients and stimulates neutrophil homing in Staphylococcus aureus pneumonia. J Infect Dis 198: 1529-1535. doi: 10.1086/592758
|
| [70] |
Liang X, Ji Y (2007) Involvement of alpha5beta1-integrin and TNF-alpha in Staphylococcus aureus alpha-toxin-induced death of epithelial cells. Cell Microbiol 9: 1809-1821. doi: 10.1111/j.1462-5822.2007.00917.x
|
| [71] |
Ventura CL, Higdon R, Hohmann L, et al. (2008) Staphylococcus aureus elicits marked alterations in the airway proteome during early pneumonia. Infect Immun 76: 5862-5872. doi: 10.1128/IAI.00865-08
|
| [72] |
Ventura CL, Higdon R, Kolker E, et al. (2008) Host airway proteins interact with Staphylococcus aureus during early pneumonia. Infect Immun 76: 888-898. doi: 10.1128/IAI.01301-07
|
| [73] |
McElroy MC, Cain DJ, Tyrrell C, et al. (2002) Increased virulence of a fibronectin-binding protein mutant of Staphylococcus aureus in a rat model of pneumonia. Infect Immun 70: 3865-3873. doi: 10.1128/IAI.70.7.3865-3873.2002
|
| [74] |
Dziewanowska K, Carson AR, Patti JM, et al. (2000) Staphylococcal fibronectin binding protein interacts with heat shock protein 60 and integrins: Role in internalization by epithelial cells. Infect Immun 68: 6321-6328. doi: 10.1128/IAI.68.11.6321-6328.2000
|
| [75] | Surmann K, Michalik S, Hildebrandt P, et al. (2014) Comparative proteome analysis reveals conserved and specific adaptation patterns of Staphylococcus aureus after internalization by different types of human non-professional phagocytic host cells. Front Microbiol 5: 392. |
| [76] |
Sinha B, Fraunholz M (2010) Staphylococcus aureus host cell invasion and post-invasion events. Int J Med Microbiol 300: 170-175. doi: 10.1016/j.ijmm.2009.08.019
|
| [77] |
Schnaith A, Kashkar H, Leggio SA, et al. (2007) Staphylococcus aureus subvert autophagy for induction of caspase-independent host cell death. J Biol Chem 282: 2695-2706. doi: 10.1074/jbc.M609784200
|
| [78] |
Schmidt F, Scharf SS, Hildebrandt P, et al. (2010) Time-resolved quantitative proteome profiling of host-pathogen interactions: The response of Staphylococcus aureus RN1HG to internalisation by human airway epithelial cells. Proteomics 10: 2801-2811. doi: 10.1002/pmic.201000045
|
| [79] |
Kahl BC, Goulian M, van Wamel W, et al. (2000) Staphylococcus aureus RN6390 replicates and induces apoptosis in a pulmonary epithelial cell line. Infect Immun 68: 5385-5392. doi: 10.1128/IAI.68.9.5385-5392.2000
|
| [80] |
Garzoni C, Kelley WL (2009) Staphylococcus aureus: New evidence for intracellular persistence. Trends Microbiol 17: 59-65. doi: 10.1016/j.tim.2008.11.005
|
| [81] |
Tuchscherr L, Medina E, Hussain M, et al. (2011) Staphylococcus aureus phenotype switching: An effective bacterial strategy to escape host immune response and establish a chronic infection. EMBO Mol Med 3: 129-141. doi: 10.1002/emmm.201000115
|
| [82] |
Phillips JR, Tripp TJ, Regelmann WE, et al. (2006) Staphylococcal alpha-toxin causes increased tracheal epithelial permeability. Pediatr Pulmonol 41: 1146-1152. doi: 10.1002/ppul.20501
|
| [83] |
Richter E, Harms M, Ventz K, et al. (2015) A multi-omics approach identifies key hubs associated with cell type-specific responses of airway epithelial cells to staphylococcal alpha-toxin. PLoS ONE 10: e0122089. doi: 10.1371/journal.pone.0122089
|
| [84] |
Hermann I, Räth S, Ziesemer S, et al. (2015) Staphylococcus aureus-hemolysin A disrupts cell-matrix adhesions in human airway epithelial cells. Am J Respir Cell Mol Biol 52: 14-24. doi: 10.1165/rcmb.2014-0082OC
|
| [85] |
Ratner AJ, Bryan R, Weber A, et al. (2001) Cystic fibrosis pathogens activate Ca2+-dependent mitogen-activated protein kinase signaling pathways in airway epithelial cells. J Biol Chem 276: 19267-19275. doi: 10.1074/jbc.M007703200
|
| [86] | Greene CM, Ramsay H, Wells RJ, et al. (2010) Inhibition of Toll-like receptor 2-mediated interleukin-8 production in cystic fibrosis airway epithelial cells via the alpha7-nicotinic acetylcholine receptor. Mediat Inflamm 2010: 423241. |
| [87] |
Sibbald MJ, Ziebandt AK, Engelmann S, et al. (2006) Mapping the pathways to staphylococcal pathogenesis by comparative secretomics. Microbiol Mol Biol Rev 70: 755-788. doi: 10.1128/MMBR.00008-06
|
| [88] |
Kuroda M, Ohta T, Uchiyama I, et al. (2001) Whole genome sequencing of meticillin-resistant Staphylococcus aureus. Lancet 357: 1225-1240. doi: 10.1016/S0140-6736(00)04403-2
|
| [89] |
Gill SR, Fouts DE, Archer GL, et al. (2005) Insights on evolution of virulence and resistance from the complete genome analysis of an early methicillin-resistant Staphylococcus aureus strain and a biofilm-producing methicillin-resistant Staphylococcus epidermidis strain. J Bacteriol 187: 2426-2438. doi: 10.1128/JB.187.7.2426-2438.2005
|
| [90] |
Baba T, Takeuchi F, Kuroda M, et al. (2002) Genome and virulence determinants of high virulence community-acquired MRSA. Lancet 359: 1819-1827. doi: 10.1016/S0140-6736(02)08713-5
|
| [91] |
Diep BA, Carleton HA, Chang RF, et al. (2006) Roles of 34 virulence genes in the evolution of hospital- and community-associated strains of methicillin-resistant Staphylococcus aureus. J Infect Dis 193: 1495-1503. doi: 10.1086/503777
|
| [92] |
Goerke C, Wolz C (2010) Adaptation of Staphylococcus aureus to the cystic fibrosis lung. Int J Med Microbiol 300: 520-525. doi: 10.1016/j.ijmm.2010.08.003
|
| [93] |
Goerke C, Pantucek R, Holtfreter S, et al. (2009) Diversity of prophages in dominant Staphylococcus aureus clonal lineages. J Bacteriol 191: 3462-3468. doi: 10.1128/JB.01804-08
|
| [94] |
Novick RP (2003) Autoinduction and signal transduction in the regulation of staphylococcal virulence. Mol Microbiol 48: 1429-1249. doi: 10.1046/j.1365-2958.2003.03526.x
|
| [95] |
Cheung AL, Koomey JM, Butler CA, et al. (1992) Regulation of exoprotein expression in Staphylococcus aureus by a locus (sar) distinct from agr. Proc Nat Acad Sci USA 89: 6462-6466. doi: 10.1073/pnas.89.14.6462
|
| [96] |
Rogasch K, Rühmling V, Pane-Farre J, et al. (2006) Influence of the two-component system SaeRS on global gene expression in two different Staphylococcus aureus strains. J Bacteriol 188: 7742-7758. doi: 10.1128/JB.00555-06
|
| [97] |
Geisinger E, George EA, Muir TW, et al. (2008) Identification of ligand specificity determinants in AgrC, the Staphylococcus aureus quorum-sensing receptor. J Biol Chem 283: 8930-8938. doi: 10.1074/jbc.M710227200
|
| [98] |
Jensen RO, Winzer K, Clarke SR, et al. (2008) Differential recognition of Staphylococcus aureus quorum-sensing signals depends on both extracellular loops 1 and 2 of the transmembrane sensor AgrC. J Mol Biol 381: 300-309. doi: 10.1016/j.jmb.2008.06.018
|
| [99] |
Heyer G, Saba S, Adamo R, et al. (2002) Staphylococcus aureusagr and sarA functions are required for invasive infection but not inflammatory responses in the lung. Infect Immun 70: 127-133. doi: 10.1128/IAI.70.1.127-133.2002
|
| [100] |
Haslinger-Löffler B, Kahl BC, Grundmeier M, et al. (2005) Multiple virulence factors are required for Staphylococcus aureus-induced apoptosis in endothelial cells. Cell Microbiol 7: 1087-1097. doi: 10.1111/j.1462-5822.2005.00533.x
|
| [101] |
Jones RC, Deck J, Edmondson RD, et al. (2008) Relative quantitative comparisons of the extracellular protein profiles of Staphylococcus aureus UAMS-1 and its sarA, agr, and sarA agr regulatory mutants using one-dimensional polyacrylamide gel electrophoresis and nanocapillary liquid chromatography coupled with tandem mass spectrometry. J Bacteriol 190: 5265-5278. doi: 10.1128/JB.00383-08
|
| [102] |
Wright JS, Jin R, Novick RP (2005) Transient interference with staphylococcal quorum sensing blocks abscess formation. Proc Nat Acad Sci USA 102: 1691-1696. doi: 10.1073/pnas.0407661102
|
| [103] |
Feng Y, Chen CJ, Su LH, et al. (2008) Evolution and pathogenesis of Staphylococcus aureus: Lessons learned from genotyping and comparative genomics. FEMS Microbiol Rev 32: 23-37. doi: 10.1111/j.1574-6976.2007.00086.x
|
| [104] |
Hecker M, Becher D, Fuchs S, et al. (2010) A proteomic view of cell physiology and virulence of Staphylococcus aureus. Int J Med Microbiol 300: 76-87. doi: 10.1016/j.ijmm.2009.10.006
|
| [105] |
Becher D, Hempel K, Sievers S, et al. (2009) A proteomic view of an important human pathogen-towards the quantification of the entire Staphylococcus aureus proteome. PLoS ONE 4: e8176. doi: 10.1371/journal.pone.0008176
|
| [106] | Ziebandt A-K, Weber H, Rudolph J, et al. (2001) Extracellular proteins of Staphylococcus aureus and the role of SarA and σB. Proteomics 1: 480-493. |
| [107] |
Ziebandt A-K, Becher D, Ohlsen K, et al. (2004) The influence of agr and σB in growth phase dependent regulation of virulence factors in Staphylococcus aureus. Proteomics 4: 3034-3047. doi: 10.1002/pmic.200400937
|
| [108] |
Recsei P, Kreiswirth B, O'Reilly M, et al. (1986) Regulation of exoprotein gene expression in Staphylococcus aureus by agr. Mol Gen Genet 202: 58-61. doi: 10.1007/BF00330517
|
| [109] | Peng HL, Novick RP, Kreiswirth B, et al. (1988) Cloning, characterization, and sequencing of an accessory gene regulator (agr) in Staphylococcus aureus. J Bacteriol 170: 4365-4372. |
| [110] | Cheung AL, Projan SJ (1994) Cloning and sequencing of sarA of Staphylococcus aureus, a gene required for the expression of agr. J Bacteriol 176: 4168-4172. |
| [111] | McCarthy H, Rudkin JK, Black NS, et al. (2015) Methicillin resistance and the biofilm phenotype in Staphylococcus aureus. Front Cell Infect Microbiol 5:1. |
| [112] |
Liang X, Ji Y (2007) Comparative analysis of staphylococcal adhesion and internalization by epithelial cells. Meth Mol Biol (Clifton, NJ) 391: 145-151. doi: 10.1007/978-1-59745-468-1_11
|
| [113] |
Jin T, Bokarewa M, Foster T, et al. (2004) Staphylococcus aureus resists human defensins by production of staphylokinase, a novel bacterial evasion mechanism. J Immunol 172: 1169-1176. doi: 10.4049/jimmunol.172.2.1169
|
| [114] |
Lan L, Cheng A, Dunman PM, et al. (2010) Golden pigment production and virulence gene expression are affected by metabolisms in Staphylococcus aureus. J Bacteriol 192: 3068-3077. doi: 10.1128/JB.00928-09
|
| [115] |
Hammel M, Sfyroera G, Pyrpassopoulos S, et al. (2007) Characterization of Ehp, a secreted complement inhibitory protein from Staphylococcus aureus. J Biol Chem 282: 30051-30061. doi: 10.1074/jbc.M704247200
|
| [116] |
de Haas CJ, Veldkamp KE, Peschel A, et al. (2004) Chemotaxis inhibitory protein of Staphylococcus aureus, a bacterial antiinflammatory agent. J Exp Med 199: 687-695. doi: 10.1084/jem.20031636
|
| [117] | Rogolsky M (1979) Nonenteric toxins of Staphylococcus aureus. Microbiol Rev 43: 320-360. |
| [118] | Prevost G, Mourey L, Colin DA, et al. (2001) Staphylococcal pore-forming toxins. Curr Top Microbiol Immunol 257: 53-83. |
| [119] |
Herbert S, Ziebandt AK, Ohlsen K, et al. (2010) Repair of global regulators in Staphylococcus aureus 8325 and comparative analysis with other clinical isolates. Infect Immun 78: 2877-2889. doi: 10.1128/IAI.00088-10
|
| [120] |
Pocsfalvi G, Cacace G, Cuccurullo M, et al. (2008) Proteomic analysis of exoproteins expressed by enterotoxigenic Staphylococcus aureus strains. Proteomics 8: 2462-2476. doi: 10.1002/pmic.200700965
|
| [121] |
Dinges MM, Orwin PM, Schlievert PM (2000) Exotoxins of Staphylococcus aureus. Clin Microbiol Rev 13: 16-34. doi: 10.1128/CMR.13.1.16-34.2000
|
| [122] |
Defres S, Marwick C, Nathwani D (2009) MRSA as a cause of lung infection including airway infection, community-acquired pneumonia and hospital-acquired pneumonia. Eur Respir J 34: 1470-1476. doi: 10.1183/09031936.00122309
|
| [123] |
Watkins RR, David MZ, Salata RA (2012) Current concepts on the virulence mechanisms of methicillin-resistant Staphylococcus aureus. J Med Microbiol 61: 1179-1193. doi: 10.1099/jmm.0.043513-0
|
| [124] |
Bubeck Wardenburg J, Bae T, Otto M, et al. (2007) Poring over pores: Alpha-hemolysin and Panton-Valentine leukocidin in Staphylococcus aureus pneumonia. Nat Med 13: 1405-1406. doi: 10.1038/nm1207-1405
|
| [125] |
Parker D, Prince A (2012) Immunopathogenesis of Staphylococcus aureus pulmonary infection. Sem Immunopathol 34: 281-297. doi: 10.1007/s00281-011-0291-7
|
| [126] |
Gillet Y, Issartel B, Vanhems P, et al. (2002) Association between Staphylococcus aureus strains carrying gene for Panton-Valentine leukocidin and highly lethal necrotising pneumonia in young immunocompetent patients. Lancet 359: 753-759. doi: 10.1016/S0140-6736(02)07877-7
|
| [127] |
Labandeira-Rey M, Couzon F, Boisset S, et al. (2007) Staphylococcus aureus Panton-Valentine leukocidin causes necrotizing pneumonia. Science 315: 1130-1133. doi: 10.1126/science.1137165
|
| [128] |
Ragle BE, Bubeck Wardenburg J (2009) Anti-alpha-hemolysin monoclonal antibodies mediate protection against Staphylococcus aureus pneumonia. Infect Immun 77: 2712-2718. doi: 10.1128/IAI.00115-09
|
| [129] |
Ragle BE, Karginov VA, Bubeck Wardenburg J (2010) Prevention and treatment of Staphylococcus aureus pneumonia with a beta-cyclodextrin derivative. Antimicrob Agents Chemother 54: 298-304. doi: 10.1128/AAC.00973-09
|
| [130] |
Bubeck Wardenburg J, Schneewind O (2008) Vaccine protection against Staphylococcus aureus pneumonia. J Exp Med 205: 287-294. doi: 10.1084/jem.20072208
|
| [131] | Stulik L, Malafa S, Hudcova J, et al. (2014) Α-hemolysin activity of methicillin-susceptible S. aureus predicts ventilator-associated pneumonia. Am J Respir Crit Care Med 190: 1139-1148. |
| [132] |
Löffler B, Hussain M, Grundmeier M, et al. (2010) Staphylococcus aureus Panton-Valentine leukocidin is a very potent cytotoxic factor for human neutrophils. PLoS Pathog 6: e1000715. doi: 10.1371/journal.ppat.1000715
|
| [133] |
Genestier AL, Michallet MC, Prevost G, et al. (2005) Staphylococcus aureus Panton-Valentine leukocidin directly targets mitochondria and induces Bax-independent apoptosis of human neutrophils. J Clin Invest 115: 3117-3127. doi: 10.1172/JCI22684
|
| [134] |
Melles DC, van Leeuwen WB, Boelens HA, et al. (2006) Panton-Valentine leukocidin genes in Staphylococcus aureus. Emerg Infect Dis 12: 1174-1175. doi: 10.3201/eid1207.050865
|
| [135] | da Silva MC, Zahm JM, Gras D, et al. (2004) Dynamic interaction between airway epithelial cells and Staphylococcus aureus. Am J Physiol 287: L543-L551. |
| [136] | Hildebrand A, Pohl M, Bhakdi S (1991) Staphylococcus aureus alpha-toxin. Dual mechanism of binding to target cells. J Biol Chem 266: 17195-17200. |
| [137] | Tweten RK, Christianson KK, Iandolo JJ (1983) Transport and processing of staphylococcal alpha-toxin. J Bacteriol 156: 524-528. |
| [138] | Gray GS, Kehoe M (1984) Primary sequence of the alpha-toxin gene from Staphylococcus aureus Wood 46. Infect Immun 46: 615-618. |
| [139] |
Schwiering M, Brack A, Stork R, et al. (2013) Lipid and phase specificity of alpha-toxin from S. aureus. Biochim Biophys Acta 1828: 1962-1972. doi: 10.1016/j.bbamem.2013.04.005
|
| [140] |
Valeva A, Hellmann N, Walev I, et al. (2006) Evidence that clustered phosphocholine head groups serve as sites for binding and assembly of an oligomeric protein pore. J Biol Chem 281: 26014-26021. doi: 10.1074/jbc.M601960200
|
| [141] |
Galdiero S, Gouaux E (2004) High resolution crystallographic studies of alpha-hemolysin-phospholipid complexes define heptamer-lipid head group interactions: Implication for understanding protein-lipid interactions. Prot Sci 13: 1503-1511. doi: 10.1110/ps.03561104
|
| [142] |
Wilke GA, Bubeck Wardenburg J (2010) Role of a disintegrin and metalloprotease 10 in Staphylococcus aureus alpha-hemolysin-mediated cellular injury. Proc Nat Acad Sci USA 107: 13473-13478. doi: 10.1073/pnas.1001815107
|
| [143] |
Inoshima I, Inoshima N, Wilke GA, et al. (2011) A Staphylococcus aureus pore-forming toxin subverts the activity of ADAM10 to cause lethal infection in mice. Nat Med 17: 1310-1314. doi: 10.1038/nm.2451
|
| [144] |
Pany S, Vijayvargia R, Krishnasastry MV (2004) Caveolin-1 binding motif of alpha-hemolysin: Its role in stability and pore formation. Biochem Biophys Res Commun 322: 29-36. doi: 10.1016/j.bbrc.2004.07.073
|
| [145] |
Berube BJ, Bubeck Wardenburg J (2013) Staphylococcus aureus alpha-toxin: Nearly a century of intrigue. Toxins (Basel) 5: 1140-1166. doi: 10.3390/toxins5061140
|
| [146] | Korchev YE, Alder GM, Bakhramov A, et al. (1995) Staphylococcus aureus alpha-toxin-induced pores: Channel-like behavior in lipid bilayers and patch clamped cells. J Membr Biol 143: 143-151. |
| [147] |
Krasilnikov OV, Merzlyak PG, Yuldasheva LN, et al. (2000) Electrophysiological evidence for heptameric stoichiometry of ion channels formed by Staphylococcus aureus alpha-toxin in planar lipid bilayers. Mol Microbiol 37: 1372-1378. doi: 10.1046/j.1365-2958.2000.02080.x
|
| [148] |
Gouaux JE, Braha O, Hobaugh MR, et al. (1994) Subunit stoichiometry of staphylococcal alpha-hemolysin in crystals and on membranes: A heptameric transmembrane pore. Proc Nat Acad Sci USA 91: 12828-12831. doi: 10.1073/pnas.91.26.12828
|
| [149] |
Gouaux E (1998) Alpha-hemolysin from Staphylococcus aureus: An archetype of beta-barrel, channel-forming toxins. J Struct Biol 121: 110-122. doi: 10.1006/jsbi.1998.3959
|
| [150] |
Montoya M, Gouaux E (2003) Beta-barrel membrane protein folding and structure viewed through the lens of alpha-hemolysin. Biochim Biophys Acta 1609: 19-27. doi: 10.1016/S0005-2736(02)00663-6
|
| [151] |
Jayasinghe L, Miles G, Bayley H (2006) Role of the amino latch of staphylococcal alpha-hemolysin in pore formation: A co-operative interaction between the N terminus and position 217. J Biol Chem 281: 2195-2204. doi: 10.1074/jbc.M510841200
|
| [152] |
Valeva A, Walev I, Pinkernell M, et al. (1997) Transmembrane beta-barrel of staphylococcal alpha-toxin forms in sensitive but not in resistant cells. Proc Nat Acad Sci USA 94: 11607-11611. doi: 10.1073/pnas.94.21.11607
|
| [153] | Menzies BE, Kernodle DS (1994) Site-directed mutagenesis of the alpha-toxin gene of Staphylococcus aureus: Role of histidines in toxin activity in vitro and in a murine model. Infect Immun 62: 1843-1847. |
| [154] | Bhakdi S, Tranum-Jensen J (1991) Alpha-toxin of Staphylococcus aureus. Microbiol Rev 55: 733-751. |
| [155] |
Füssle R, Bhakdi S, Sziegoleit A, et al. (1981) On the mechanism of membrane damage by Staphylococcus aureus alpha-toxin. J Cell Biol 91: 83-94. doi: 10.1083/jcb.91.1.83
|
| [156] |
Song L, Hobaugh MR, Shustak C, et al. (1996) Structure of staphylococcal alpha-hemolysin, a heptameric transmembrane pore. Science 274: 1859-1866. doi: 10.1126/science.274.5294.1859
|
| [157] |
Menestrina G (1986) Ionic channels formed by Staphylococcus aureus alpha-toxin: Voltage-dependent inhibition by divalent and trivalent cations. J Membr Biol 90: 177-190. doi: 10.1007/BF01869935
|
| [158] |
Kasianowicz JJ, Brandin E, Branton D, et al. (1996) Characterization of individual polynucleotide molecules using a membrane channel. Proc Nat Acad Sci USA 93: 13770-13773. doi: 10.1073/pnas.93.24.13770
|
| [159] |
Aksimentiev A, Schulten K (2005) Imaging alpha-hemolysin with molecular dynamics: Ionic conductance, osmotic permeability, and the electrostatic potential map. Biophys J 88: 3745-3761. doi: 10.1529/biophysj.104.058727
|
| [160] | Walev I, Martin E, Jonas D, et al. (1993) Staphylococcal alpha-toxin kills human keratinocytes by permeabilizing the plasma membrane for monovalent ions. Infect Immun 61: 4972-4979. |
| [161] |
Kloft N, Busch T, Neukirch C, et al. (2009) Pore-forming toxins activate MAPK p38 by causing loss of cellular potassium. Biochem Biophys Res Commun 385: 503-506. doi: 10.1016/j.bbrc.2009.05.121
|
| [162] | Jonas D, Walev I, Berger T, et al. (1994) Novel path to apoptosis: Small transmembrane pores created by staphylococcal alpha-toxin in T lymphocytes evoke internucleosomal DNA degradation. Infect Immun 62: 1304-1312. |
| [163] |
Valeva A, Walev I, Gerber A, et al. (2000) Staphylococcal alpha-toxin: Repair of a calcium-impermeable pore in the target cell membrane. Mol Microbiol 36: 467-476. doi: 10.1046/j.1365-2958.2000.01865.x
|
| [164] |
Walev I, Palmer M, Martin E, et al. (1994) Recovery of human fibroblasts from attack by the pore-forming alpha-toxin of Staphylococcus aureus. Microb Pathogen 17: 187-201. doi: 10.1006/mpat.1994.1065
|
| [165] | Ahnert-Hilger G, Bhakdi S, Gratzl M (1985) Minimal requirements for exocytosis. A study using PC 12 cells permeabilized with staphylococcal alpha-toxin. J Biol Chem 260: 12730-12734. |
| [166] | Suttorp N, Seeger W, Dewein E, et al. (1985) Staphylococcal alpha-toxin-induced PGI2 production in endothelial cells: Role of calcium. Am J Physiol 248: C127-C134. |
| [167] |
Eichstaedt S, Gäbler K, Below S, et al. (2009) Effects of Staphylococcus aureus-hemolysin a on calcium signalling in immortalized human airway epithelial cells. Cell Calcium 45: 165-176. doi: 10.1016/j.ceca.2008.09.001
|
| [168] |
Gierok P, Harms M, Richter E, et al. (2014) Staphylococcus aureus alpha-toxin mediates general and cell type-specific changes in metabolite concentrations of immortalized human airway epithelial cells. PLoS ONE 9: e94818. doi: 10.1371/journal.pone.0094818
|
| [169] | Husmann M, Dersch K, Bobkiewicz W, et al. (2006) Differential role of p38 mitogen activated protein kinase for cellular recovery from attack by pore-forming S. aureus alpha-toxin or streptolysin O. Biochem Biophys Res Commun 344: 1128-1134. |
| [170] | Ostedgaard LS, Shasby DM, Welsh MJ (1992) Staphylococcus aureus alpha-toxin permeabilizes the basolateral membrane of a Cl--secreting epithelium. Am J Physiol 263: L104-L112. |
| [171] |
Dragneva Y, Anuradha CD, Valeva A, et al. (2001) Subcytocidal attack by staphylococcal alpha-toxin activates NFkappaB and induces interleukin-8 production. Infect Immun 69: 2630-2635. doi: 10.1128/IAI.69.4.2630-2635.2001
|
| [172] |
Lizak M, Yarovinsky TO (2012) Phospholipid scramblase 1 mediates type I interferon-induced protection against staphylococcal alpha-toxin. Cell Host Microbe 11: 70-80. doi: 10.1016/j.chom.2011.12.004
|
| [173] | la Sala A, Ferrari D, Di Virgilio F, et al. (2003) Alerting and tuning the immune response by extracellular nucle |
| [174] |
Okada SF, Nicholas RA, Kreda SM, et al. (2006) Physiological regulation of ATP release at the apical surface of human airway epithelia. J Biol Chem 281: 22992-23002. doi: 10.1074/jbc.M603019200
|
| [175] | Bond S, Naus CC (2014) The pannexins: Past and present. Front Physiol 5: 1-24. |
| [176] |
Russo MJ, Bayley H, Toner M (1997) Reversible permeabilization of plasma membranes with an engineered switchable pore. Nat Biotechnol 15: 278-282. doi: 10.1038/nbt0397-278
|
| [177] | Cassidy PS, Harshman S (1973) The binding of staphylococcal 125I-alpha-toxin (B) to erythrocytes. J Biol Chem 248: 5545-5546. |
| [178] |
Maurer K, Reyes-Robles T, Alonzo F, 3rd, et al. (2015) Autophagy mediates tolerance to Staphylococcus aureus alpha-toxin. Cell Host Microbe 17: 429-440. doi: 10.1016/j.chom.2015.03.001
|
| [179] |
Kloft N, Neukirch C, Bobkiewicz W, et al. (2010) Pro-autophagic signal induction by bacterial pore-forming toxins. Med Microbiol Immunol 199: 299-309. doi: 10.1007/s00430-010-0163-0
|
| [180] |
Husmann M, Beckmann E, Boller K, et al. (2009) Elimination of a bacterial pore-forming toxin by sequential endocytosis and exocytosis. FEBS Lett 583: 337-344. doi: 10.1016/j.febslet.2008.12.028
|
| [181] |
Kwak YK, Vikstrom E, Magnusson KE, et al. (2012) The Staphylococcus aureus alpha-toxin perturbs the barrier function in Caco-2 epithelial cell monolayers by altering junctional integrity. Infect Immun 80: 1670-1680. doi: 10.1128/IAI.00001-12
|
| [182] |
Boucher RC (2004) New concepts of the pathogenesis of cystic fibrosis lung disease. Eur Respir J 23: 146-158. doi: 10.1183/09031936.03.00057003
|
| [183] |
Kunzelmann K, McMorran B (2004) First encounter: How pathogens compromise epithelial transport. Physiology (Bethesda, Md) 19: 240-244. doi: 10.1152/physiol.00015.2004
|
| [184] |
Tarran R (2004) Regulation of airway surface liquid volume and mucus transport by active ion transport. Proc Am Thoracic Soc 1: 42-46. doi: 10.1513/pats.2306014
|
| [185] |
Escotte S, Al Alam D, Le Naour R, et al. (2006) T cell chemotaxis and chemokine release after Staphylococcus aureus interaction with polarized airway epithelium. Am J Respir Cell Mol Biol 34: 348-354. doi: 10.1165/rcmb.2005-0191OC
|
| [186] |
Lee RJ, Foskett JK (2014) Ca2+ signaling and fluid secretion by secretory cells of the airway epithelium. Cell Calcium 55: 325-336. doi: 10.1016/j.ceca.2014.02.001
|
| [187] | Suttorp N, Hessz T, Seeger W, et al. (1988) Bacterial exotoxins and endothelial permeability for water and albumin in vitro. Am J Physiol Cell Physiol 255: C368-C376. |
| [188] |
Hocke AC, Temmesfeld-Wollbrueck B, Schmeck B, et al. (2006) Perturbation of endothelial junction proteins by Staphylococcus aureus alpha-toxin: Inhibition of endothelial gap formation by adrenomedullin. Histochem Cell Biol 126: 305-316. doi: 10.1007/s00418-006-0174-5
|
| [189] |
Stull JT, Tansey MG, Tang DC, et al. (1993) Phosphorylation of myosin light chain kinase: A cellular mechanism for Ca2+ desensitization. Mol Cell Biochem 127-128: 229-237. doi: 10.1007/BF01076774
|
| [190] | Horiuchi K, Le Gall S, Schulte M, et al. (2007) Substrate selectivity of epidermal growth factor-receptor ligand sheddases and their regulation by phorbol esters and calcium influx. Mol Biol Cell 18: 176-188. |
| [191] |
Le Gall SM, Bobe P, Reiss K, et al. (2009) ADAMs 10 and 17 represent differentially regulated components of a general shedding machinery for membrane proteins such as transforming growth factor alpha, L-selectin, and tumor necrosis factor alpha. Mol Biol Cell 20: 1785-1794. doi: 10.1091/mbc.E08-11-1135
|
| [192] |
Brieher WM, Yap AS (2013) Cadherin junctions and their cytoskeleton(s). Curr Opin Cell Biol 25: 39-46. doi: 10.1016/j.ceb.2012.10.010
|
| [193] |
Zaidel-Bar R, Itzkovitz S, Ma'ayan A, et al. (2007) Functional atlas of the integrin adhesome. Nat Cell Biol 9: 858-867. doi: 10.1038/ncb0807-858
|
| [194] | Dreymueller D, Uhlig S, Ludwig A (2015) ADAM-family metalloproteinases in lung inflammation: Potential therapeutic targets. Am J Physiol 308: L325-L343. |
| [195] |
Sahin U, Weskamp G, Kelly K, et al. (2004) Distinct roles for ADAM10 and ADAM17 in ectodomain shedding of six EGFR ligands. J Cell Biol 164: 769-779. doi: 10.1083/jcb.200307137
|
| [196] |
Park PW, Foster TJ, Nishi E, et al. (2004) Activation of syndecan-1 ectodomain shedding by Staphylococcus aureus alpha-toxin and beta-toxin. J Biol Chem 279: 251-258. doi: 10.1074/jbc.M308537200
|
| [197] |
Hayashida A, Bartlett AH, Foster TJ, et al. (2009) Staphylococcus aureus beta-toxin induces lung injury through syndecan-1. Am J Pathol 174: 509-518. doi: 10.2353/ajpath.2009.080394
|
| [198] |
Tengholm A, Hellman B, Gylfe E (2000) Mobilization of Ca2+ stores in individual pancreatic beta-cells permeabilized or not with digitonin or alpha-toxin. Cell Calcium 27: 43-51. doi: 10.1054/ceca.1999.0087
|
| [199] |
Huang TY, Minamide LS, Bamburg JR, et al. (2008) Chronophin mediates an ATP-sensing mechanism for cofilin dephosphorylation and neuronal cofilin-actin rod formation. Dev Cell 15: 691-703. doi: 10.1016/j.devcel.2008.09.017
|
| [200] |
Eichstaedt S, Gäbler K, Below S, et al. (2008) Phospholipase C-activating plasma membrane receptors and calcium signaling in immortalized human airway epithelial cells. J Recept Signal Transd 28: 591-612. doi: 10.1080/10799890802407120
|
| [201] |
Schwiebert EM, Zsembery A (2003) Extracellular ATP as a signaling molecule for epithelial cells. Biochim Biophys Acta 1615: 7-32. doi: 10.1016/S0005-2736(03)00210-4
|
| [202] |
Tarran R, Button B, Boucher RC (2006) Regulation of normal and cystic fibrosis airway surface liquid volume by phasic shear stress. Annu Rev Physiol 68: 543-561. doi: 10.1146/annurev.physiol.68.072304.112754
|
| [203] |
Evans JH, Sanderson MJ (1999) Intracellular calcium oscillations regulate ciliary beat frequency of airway epithelial cells. Cell Calcium 26: 103-110. doi: 10.1054/ceca.1999.0060
|
| [204] |
Yun YS, Min YG, Rhee CS, et al. (1999) Effects of alpha-toxin of Staphylococcus aureus on the ciliary activity and ultrastructure of human nasal ciliated epithelial cells. Laryngoscope 109: 2021-2024. doi: 10.1097/00005537-199912000-00024
|
| [205] |
Knowles M, Robinson J, Wood R, et al. (1997) Ion composition of airway surface liquid of patients with cystic fibrosis as compared with normal and disease-control subjects. J Clin Invest 100: 2588-2595. doi: 10.1172/JCI119802
|
| [206] |
Olson R, Nariya H, Yokota K, et al. (1999) Crystal structure of staphylococcal LukF delineates conformational changes accompanying formation of a transmembrane channel. Nat Struct Biol 6: 134-140. doi: 10.1038/5821
|
Jan-Peter Hildebrandt. Pore-forming virulence factors of Staphylococcus aureus destabilize epithelial barriers-effects of alpha-toxin in the early phases of airway infection[J]. AIMS Microbiology, 2015, 1(1): 11-36. doi: 10.3934/microbiol.2015.1.11
| Customer | Annual electricity consumption (kWh) | Capacity of panel recommended by the solar contractor (kW) | Estimated cost (by contractor) to get the customer set up with solar panels |
| Residential Customer 1 | 5771 | 5.2 | ＄16,000.00 |
| Residential Customer 2 | 8206 | 8 | ＄23,000.00 |
| Residential Customer 3 | 10350 | 9.7 | ＄25,500.00 |
| Residential Customer 4 | 13194 | 12 | ＄30,000.00 |
| Residential Customer 5 | 10664.5 | 9.5 | ＄25,000.00 |
DownLoad:
CSV
| Parameters | Base conditions |
| Quote from contractor (Residential customer # 2) | ＄23,000.00 |
| Tax | ＄1,150.00 |
| Government incentives for installing solar panels | ＄- |
| 10% Downpayment | ＄2,415.00 |
| Principal (loan amount) | ＄21,735.00 |
| Amortization Period (years) | 25 |
| Annual Nominal Interest rate | 0.072 |
| Number of compounding periods | 365 |
DownLoad:
CSV
| S/No. | Yearly payment | Principal payment | Interest payment | Remaining principal | Present worth of interest payment |
| 1 | ＄1,880.34 | ＄321.37 | ＄1,558.97 | ＄22,678.63 | ＄1,484.73 |
| 2 | ＄1,880.34 | ＄345.36 | ＄1,534.98 | ＄22,333.27 | ＄1,392.27 |
| 3 | ＄1,880.34 | ＄371.14 | ＄1,509.20 | ＄21,962.13 | ＄1,303.70 |
| 4 | ＄1,880.34 | ＄398.85 | ＄1,481.50 | ＄21,563.28 | ＄1,218.83 |
| 5 | ＄1,880.34 | ＄428.62 | ＄1,451.72 | ＄21,134.66 | ＄1,137.46 |
| 6 | ＄1,880.34 | ＄460.61 | ＄1,419.73 | ＄20,674.04 | ＄1,059.42 |
| 7 | ＄1,880.34 | ＄495.00 | ＄1,385.34 | ＄20,179.05 | ＄984.54 |
| 8 | ＄1,880.34 | ＄531.95 | ＄1,348.39 | ＄19,647.10 | ＄912.65 |
| 9 | ＄1,880.34 | ＄571.66 | ＄1,308.68 | ＄19,075.44 | ＄843.59 |
| 10 | ＄1,880.34 | ＄614.33 | ＄1,266.01 | ＄18,461.11 | ＄777.22 |
| 11 | ＄1,880.34 | ＄660.19 | ＄1,220.15 | ＄17,800.92 | ＄713.40 |
| 12 | ＄1,880.34 | ＄709.47 | ＄1,170.87 | ＄17,091.45 | ＄651.99 |
| 13 | ＄1,880.34 | ＄762.43 | ＄1,117.91 | ＄16,329.01 | ＄592.85 |
| 14 | ＄1,880.34 | ＄819.35 | ＄1,061.00 | ＄15,509.67 | ＄535.88 |
| 15 | ＄1,880.34 | ＄880.51 | ＄999.84 | ＄14,629.16 | ＄480.94 |
| 16 | ＄1,880.34 | ＄946.24 | ＄934.11 | ＄13,682.93 | ＄427.93 |
| 17 | ＄1,880.34 | ＄1,016.87 | ＄863.47 | ＄12,666.06 | ＄376.73 |
| 18 | ＄1,880.34 | ＄1,092.78 | ＄787.57 | ＄11,573.28 | ＄327.25 |
| 19 | ＄1,880.34 | ＄1,174.35 | ＄705.99 | ＄10,398.93 | ＄279.39 |
| 20 | ＄1,880.34 | ＄1,262.01 | ＄618.33 | ＄9,136.92 | ＄233.04 |
| 21 | ＄1,880.34 | ＄1,356.22 | ＄524.12 | ＄7,780.70 | ＄188.13 |
| 22 | ＄1,880.34 | ＄1,457.46 | ＄422.88 | ＄6,323.24 | ＄144.56 |
| 23 | ＄1,880.34 | ＄1,566.25 | ＄314.09 | ＄4,756.99 | ＄102.26 |
| 24 | ＄1,880.34 | ＄1,683.17 | ＄197.17 | ＄3,073.82 | ＄61.14 |
| 25 | ＄1,880.34 | ＄1,808.82 | ＄71.53 | ＄1,265.00 | ＄21.12 |
| Total | ＄47,008.57 | ＄21,735.00 | ＄25,273.57 | ＄16,251.01 |
DownLoad:
CSV
| Customer | Average cost of electricity (＄/kWh), for a 1-year period (2022–2023) |
| Customer 1 | ＄0.07 |
| Customer 2 | ＄0.17 |
| Customer 3 | ＄0.08 |
| Customer 4 | ＄0.07 |
| Customer 5 | ＄0.07 |
DownLoad:
CSV
| Interest rate (%) | Monthly payments on amortization period of 25 years (＄) | Total amount to be paid by the customer for 25-year amortization period (＄) | Total amount that goes towards interest payment (＄) | Principal loan amount (＄) | Number of years for solar savings to become positive | Number of years for cumulative solar savings to become positive. |
| 1 | ＄81.92 | ＄ 24,575.16 | ＄2,840.16 | ＄21,735.00 | 14 | 24 |
| 2 | ＄92.14 | ＄27,642.54 | ＄5,907.54 | ＄21,735.00 | 16 | 26 |
| 3 | ＄103.11 | ＄30,933.26 | ＄9,198.26 | ＄21,735.00 | 18 | 28 |
| 4 | ＄114.80 | ＄34,440.84 | ＄12,705.84 | ＄21,735.00 | 19 | 29 |
| 5 | ＄127.19 | ＄38,156.53 | ＄16,421.53 | ＄21,735.00 | 21 | 30 |
| 6 | ＄140.23 | ＄42,069.60 | ＄20,334.60 | ＄21,735.00 | 22 | 32 |
| 7 | ＄153.89 | ＄46,167.85 | ＄24,432.85 | ＄21,735.00 | 24 | 33 |
| 7.2 | ＄156.70 | ＄47,008.57 | ＄25,273.57 | ＄21,735.00 | 24 | 33 |
DownLoad:
CSV
| Capacity for micro-generation of electricity from solar energy | Interest rate (%) | Number of years for solar savings to become positive | Number of years for cumulative solar savings to become positive |
| Micro-generation of electricity (from solar energy) limited to household needs | 1 | 14 | 24 |
| Two times increase in micro-generation of electricity by household | 1 | 3 | 5 |
| Three times increase in micro-generation of electricity by household | 1 | 1 | 1 |
DownLoad:
CSV
| Interest rate (%) | Solar energy incentive (＄) | Total amount of interest to be paid by the customer | Number of years for solar savings to become positive | Number of years for cumulative solar savings to become positive. |
| 1 | 0 | ＄2,840.16 | 14 | 24 |
| 1 | 2000 | ＄2,604.95 | 13 | 22 |
| 1 | 4000 | ＄2,369.74 | 11 | 19 |
| 1 | 6000 | ＄2,134.53 | 10 | 17 |
DownLoad:
CSV
| Customer | Annual electricity consumption (kWh) | Capacity of panel recommended by the solar contractor (kW) | Estimated cost (by contractor) to get the customer set up with solar panels |
| Residential Customer 1 | 5771 | 5.2 | ＄16,000.00 |
| Residential Customer 2 | 8206 | 8 | ＄23,000.00 |
| Residential Customer 3 | 10350 | 9.7 | ＄25,500.00 |
| Residential Customer 4 | 13194 | 12 | ＄30,000.00 |
| Residential Customer 5 | 10664.5 | 9.5 | ＄25,000.00 |
| Parameters | Base conditions |
| Quote from contractor (Residential customer # 2) | ＄23,000.00 |
| Tax | ＄1,150.00 |
| Government incentives for installing solar panels | ＄- |
| 10% Downpayment | ＄2,415.00 |
| Principal (loan amount) | ＄21,735.00 |
| Amortization Period (years) | 25 |
| Annual Nominal Interest rate | 0.072 |
| Number of compounding periods | 365 |
| S/No. | Yearly payment | Principal payment | Interest payment | Remaining principal | Present worth of interest payment |
| 1 | ＄1,880.34 | ＄321.37 | ＄1,558.97 | ＄22,678.63 | ＄1,484.73 |
| 2 | ＄1,880.34 | ＄345.36 | ＄1,534.98 | ＄22,333.27 | ＄1,392.27 |
| 3 | ＄1,880.34 | ＄371.14 | ＄1,509.20 | ＄21,962.13 | ＄1,303.70 |
| 4 | ＄1,880.34 | ＄398.85 | ＄1,481.50 | ＄21,563.28 | ＄1,218.83 |
| 5 | ＄1,880.34 | ＄428.62 | ＄1,451.72 | ＄21,134.66 | ＄1,137.46 |
| 6 | ＄1,880.34 | ＄460.61 | ＄1,419.73 | ＄20,674.04 | ＄1,059.42 |
| 7 | ＄1,880.34 | ＄495.00 | ＄1,385.34 | ＄20,179.05 | ＄984.54 |
| 8 | ＄1,880.34 | ＄531.95 | ＄1,348.39 | ＄19,647.10 | ＄912.65 |
| 9 | ＄1,880.34 | ＄571.66 | ＄1,308.68 | ＄19,075.44 | ＄843.59 |
| 10 | ＄1,880.34 | ＄614.33 | ＄1,266.01 | ＄18,461.11 | ＄777.22 |
| 11 | ＄1,880.34 | ＄660.19 | ＄1,220.15 | ＄17,800.92 | ＄713.40 |
| 12 | ＄1,880.34 | ＄709.47 | ＄1,170.87 | ＄17,091.45 | ＄651.99 |
| 13 | ＄1,880.34 | ＄762.43 | ＄1,117.91 | ＄16,329.01 | ＄592.85 |
| 14 | ＄1,880.34 | ＄819.35 | ＄1,061.00 | ＄15,509.67 | ＄535.88 |
| 15 | ＄1,880.34 | ＄880.51 | ＄999.84 | ＄14,629.16 | ＄480.94 |
| 16 | ＄1,880.34 | ＄946.24 | ＄934.11 | ＄13,682.93 | ＄427.93 |
| 17 | ＄1,880.34 | ＄1,016.87 | ＄863.47 | ＄12,666.06 | ＄376.73 |
| 18 | ＄1,880.34 | ＄1,092.78 | ＄787.57 | ＄11,573.28 | ＄327.25 |
| 19 | ＄1,880.34 | ＄1,174.35 | ＄705.99 | ＄10,398.93 | ＄279.39 |
| 20 | ＄1,880.34 | ＄1,262.01 | ＄618.33 | ＄9,136.92 | ＄233.04 |
| 21 | ＄1,880.34 | ＄1,356.22 | ＄524.12 | ＄7,780.70 | ＄188.13 |
| 22 | ＄1,880.34 | ＄1,457.46 | ＄422.88 | ＄6,323.24 | ＄144.56 |
| 23 | ＄1,880.34 | ＄1,566.25 | ＄314.09 | ＄4,756.99 | ＄102.26 |
| 24 | ＄1,880.34 | ＄1,683.17 | ＄197.17 | ＄3,073.82 | ＄61.14 |
| 25 | ＄1,880.34 | ＄1,808.82 | ＄71.53 | ＄1,265.00 | ＄21.12 |
| Total | ＄47,008.57 | ＄21,735.00 | ＄25,273.57 | ＄16,251.01 |
| Customer | Average cost of electricity (＄/kWh), for a 1-year period (2022–2023) |
| Customer 1 | ＄0.07 |
| Customer 2 | ＄0.17 |
| Customer 3 | ＄0.08 |
| Customer 4 | ＄0.07 |
| Customer 5 | ＄0.07 |
| Interest rate (%) | Monthly payments on amortization period of 25 years (＄) | Total amount to be paid by the customer for 25-year amortization period (＄) | Total amount that goes towards interest payment (＄) | Principal loan amount (＄) | Number of years for solar savings to become positive | Number of years for cumulative solar savings to become positive. |
| 1 | ＄81.92 | ＄ 24,575.16 | ＄2,840.16 | ＄21,735.00 | 14 | 24 |
| 2 | ＄92.14 | ＄27,642.54 | ＄5,907.54 | ＄21,735.00 | 16 | 26 |
| 3 | ＄103.11 | ＄30,933.26 | ＄9,198.26 | ＄21,735.00 | 18 | 28 |
| 4 | ＄114.80 | ＄34,440.84 | ＄12,705.84 | ＄21,735.00 | 19 | 29 |
| 5 | ＄127.19 | ＄38,156.53 | ＄16,421.53 | ＄21,735.00 | 21 | 30 |
| 6 | ＄140.23 | ＄42,069.60 | ＄20,334.60 | ＄21,735.00 | 22 | 32 |
| 7 | ＄153.89 | ＄46,167.85 | ＄24,432.85 | ＄21,735.00 | 24 | 33 |
| 7.2 | ＄156.70 | ＄47,008.57 | ＄25,273.57 | ＄21,735.00 | 24 | 33 |
| Capacity for micro-generation of electricity from solar energy | Interest rate (%) | Number of years for solar savings to become positive | Number of years for cumulative solar savings to become positive |
| Micro-generation of electricity (from solar energy) limited to household needs | 1 | 14 | 24 |
| Two times increase in micro-generation of electricity by household | 1 | 3 | 5 |
| Three times increase in micro-generation of electricity by household | 1 | 1 | 1 |
| Interest rate (%) | Solar energy incentive (＄) | Total amount of interest to be paid by the customer | Number of years for solar savings to become positive | Number of years for cumulative solar savings to become positive. |
| 1 | 0 | ＄2,840.16 | 14 | 24 |
| 1 | 2000 | ＄2,604.95 | 13 | 22 |
| 1 | 4000 | ＄2,369.74 | 11 | 19 |
| 1 | 6000 | ＄2,134.53 | 10 | 17 |
