Review Topical Sections

Nanofluids application in hybrid Photovoltaic Thermal System for Performance Enhancement: A review

  • Harnessing solar energy using photovoltaic cells seems a good alternative to fossil fuels as the power from sun intercepted by earth is about 1.8 × 1011 MW. However the heat trapped in photovoltaic cells during operation decreases the efficiency of the system. Recent advancements in nanotechnology have enabled scientists to enhance the efficiency of solar power generation by employing nanofluids and PCM based coolant in PV/T systems. This study comprehensively analyses the effective parameters of nanofluids and PCM that enhance the thermal, electrical and overall efficiency of the PV/T system. In this work nanofluid as a coolant and optical filter, nanofilm as optical filter, their merits and demerits were emphasised. This covers both experimental as well as numerical work performed by researchers in the field of hybrid PV/T systems with different nanofluids, various level of particle concentration, different geographical location and their end result in an elaborative sense. This review can become a good guide for the further researches to be made in the field of hybrid PV/T systems and can provide new directions to work in this field by working on the various designs in which nanofluid is used as coolant and optical filter.

    Citation: Ibraheem Ahmad Qeays, Syed Mohd. Yahya, M. Saad Bin Arif, Azhar Jamil. Nanofluids application in hybrid Photovoltaic Thermal System for Performance Enhancement: A review[J]. AIMS Energy, 2020, 8(3): 365-393. doi: 10.3934/energy.2020.3.365

    Related Papers:

    [1] Gülay Yilmazel, Fevziye Çetinkaya . Relation between Health Literacy Levels, Hypertension Awareness and Control among Primary-secondary School Teachers in Turkey. AIMS Public Health, 2017, 4(4): 314-325. doi: 10.3934/publichealth.2017.4.314
    [2] Talal Alharazi, Omar AA Bamaga, Nazeh Al-Abd, Jerold C Alcantara . Intestinal parasitic infection: prevalence, knowledge, attitude, and practices among schoolchildren in an urban area of Taiz city, Yemen. AIMS Public Health, 2020, 7(4): 769-777. doi: 10.3934/publichealth.2020059
    [3] Truong Quang Dat, Le Nguyen Huong Giang, Nguyen Thi Tuong Loan, Vo Van Toan . The prevalence of malnutrition based on anthropometry among primary schoolchildren in Binh Dinh province, Vietnam in 2016. AIMS Public Health, 2018, 5(3): 203-216. doi: 10.3934/publichealth.2018.3.203
    [4] Carlos Vílchez-Román, Alberto Paucar-Caceres, Silvia Quispe-Prieto . The impact of research on health education/health literacy on policymaking in Latin America and the Caribbean Region. AIMS Public Health, 2024, 11(2): 330-348. doi: 10.3934/publichealth.2024017
    [5] Truong Quang Dat, Le Nguyen Huong Giang, Pham Van Bao, Nguyen Thi Hong Tuyen . Prevalence of goiter among children aged 8–10 in Binh Dinh province, Vietnam in 2016–2017. AIMS Public Health, 2019, 6(2): 184-194. doi: 10.3934/publichealth.2019.2.184
    [6] Andrea M. Auxier, Bonni D. Hopkins, Anne E. Reins . Under Construction: One States Approach to Creating Health Homes for Individuals with Serious Mental Illness. AIMS Public Health, 2015, 2(2): 163-182. doi: 10.3934/publichealth.2015.2.163
    [7] Heini Wennman, Tommi Vasankari, Katja Borodulin . Where to Sit? Type of Sitting Matters for the Framingham Cardiovascular Risk Score. AIMS Public Health, 2016, 3(3): 577-591. doi: 10.3934/publichealth.2016.3.577
    [8] Rizwana Biviji, Nikita Vora, Nalani Thomas, Daniel Sheridan, Cindy M. Reynolds, Faith Kyaruzi, Swapna Reddy . Evaluating the network adequacy of vision care services for children in Arizona: A cross sectional study. AIMS Public Health, 2024, 11(1): 141-159. doi: 10.3934/publichealth.2024007
    [9] Helena Walz, Barbara Bohn, Jessica Sander, Claudia Eberle, Monika Alisch, Bernhard Oswald, Anja Kroke . Access to Difficult-to-reach Population Subgroups: A Family Midwife Based Home Visiting Service for Implementing Nutrition-related Preventive Activities - A Mixed Methods Explorative Study. AIMS Public Health, 2015, 2(3): 516-536. doi: 10.3934/publichealth.2015.3.516
    [10] Catarina Vitor, Afonso Cavaco . Community pharmacists’ attitudes towards patient leaflets: Exploring perceptions underlying an electronic local production of tailored written information. AIMS Public Health, 2018, 5(2): 189-202. doi: 10.3934/publichealth.2018.2.189
  • Harnessing solar energy using photovoltaic cells seems a good alternative to fossil fuels as the power from sun intercepted by earth is about 1.8 × 1011 MW. However the heat trapped in photovoltaic cells during operation decreases the efficiency of the system. Recent advancements in nanotechnology have enabled scientists to enhance the efficiency of solar power generation by employing nanofluids and PCM based coolant in PV/T systems. This study comprehensively analyses the effective parameters of nanofluids and PCM that enhance the thermal, electrical and overall efficiency of the PV/T system. In this work nanofluid as a coolant and optical filter, nanofilm as optical filter, their merits and demerits were emphasised. This covers both experimental as well as numerical work performed by researchers in the field of hybrid PV/T systems with different nanofluids, various level of particle concentration, different geographical location and their end result in an elaborative sense. This review can become a good guide for the further researches to be made in the field of hybrid PV/T systems and can provide new directions to work in this field by working on the various designs in which nanofluid is used as coolant and optical filter.


    There are still many issues related to children's health, such as lack of time for physical activity, increased time with screens, sedentary time and unbalanced diets [1][3]. It has been reported that a healthy lifestyle in childhood is associated with disease risk and mental risk in adulthood [4], and many studies have been conducted on how to promote and acquire healthy lifestyles from childhood [5]. Children's healthy lifestyles and health behaviors have been known to be affected by various factors [6],[7]. Family environment and parents/guardians are influential on children's lifestyles [5],[8], of which parental health literacy is likely to be a strongly relevant key factor [6],[9],[10]. Because children depend on their parents and guardians to prevent and deal with health problems, this suggests that children may be disadvantaged if their parents' and guardians' knowledge and skills, that is, their health literacy, are inadequate [6]. Although there are previous reports on parents'/guardians' health literacy and children's physical activity, nutrient status and screen time, it seems that reports on other patterns of behaviors and the amount of time children spend at home are limited. Therefore, this study examined the association between children's typical lifestyle behaviors, spending time at home and health literacy of their parent/guardian by a cross-sectional study.

    We conducted a cross-sectional questionnaire survey on the lifestyle of schoolchildren and their guardians between November 2015 and March 2016. Nine public elementary schools covering all grades of children (grades 1st to 6th, aged 6–12) in regional central cities in Northern and Southern districts in Japan participated, with a total of 3327 guardians among 4263 enrollees (cooperation rate: 78.0%).

    The question about time spent at home by the child asked for average times (in minutes) per day on a usual day and noted separately weekends and weekdays. The following 7 items were included: watching television, including DVDs and/or another video; playing video games (including handy-type); studying, including homework; reading books (including comic book reading, except for homework); help with family and housework; outside playing; and time doing hobbies.

    To estimate health literacy (HL), we used a validated questionnaire with five items, which was short and adapted to the Japanese population [11]. The questions asked about the degree to which a person (i) can gather information about one's own illness and health from various sources, such as newspapers, books, television and the internet; (ii) can pick out the information one needs from lots of information; (iii) can understand the information and communicate it to others; (iv) can judge the credibility of the information; and (v) can decide on plans and actions to improve one's own health based on the information. The structures of these questions are based on communicative HL for the first three questions (items i–iii) and critical HL for the latter two (items iv–v). Each item was rated on a 5-point Likert scale ranging from 1 (“strongly disagree / not at all”) to 5 (“strongly agree”), where high points mean high literacy. The points were summed, and the total scores ranged from a minimum of 5 to a maximum of 25 points.

    The questionnaire also contained basic characteristics of the parent/guardian (position from child's side, age, type of employment) and family environment (number of family, number of children, source of household income, feeling of financial leeway). As school policy limited detailed questions such as child's age, school grade, sex/gender and parents'/guardians' personal status, such as marital status, educational background, home economics and other social indicators, alternative minimum questions were adopted in this study.

    We excluded imperfect responses for child's time spent and items of health literacy, and 3188 individual data were used in analyses (4.2% of the participants excluded). Variables are presented as mean ± standard deviation for continuous variables or prevalence (%) for categorical variables. The total HL score was classified into two categories based on the median or average score. This classification has been adopted in similar previous studies for Japanese people [12][14]. In this study, the cut-off score was 18, with less than 18 as the low group (low HL) and 18 or more as the high group (high HL).

    We used the chi-square test for comparisons of proportions and Welch's t-test for continuous variables between two groups (low HL, high HL). The distribution of the data showed that a 30-minute interval was appropriate. We also calculated the odds ratio (OR) and the 95% confidence intervals (95% CI) using logistic regression analysis for each category of child time spent in the high HL group at 30 minutes or more with less than 30 minutes as a reference. Adjusting variables included the following: position of parent/guardian from the child's side, age group of parent/guardian, type of employment of parent/guardian, number of family members, number of children, major source of household income, feeling of financial leeway.

    All statistical analyses were performed using SPSS version 25 for Windows (IBM Corp., Chicago, IL, USA). The level of statistical significance for each analysis was set at P < 0.05.

    This survey was conducted according to the Ethical Guidelines for Epidemiological Studies established by the Ministry of Health, Labor and Welfare & Ministry of Education, Culture, Sports, Science and Technology in Japan. The Ethics Committee Tohoku University Graduate School of Medicine approved the research protocol (No. 2015–1–810, 2019–1–482). The survey was anonymous, and the submission of the questionnaire was regarded as consent to participate.

    Table 1 shows the background characteristics of parents/guardians and family environments. The overall characteristics of the parents/guardians who participated in this study were the following: Most were mothers (95.2%), and most were in their 30s–40s (47.4%). The most common type of employment was part-time (46.6%), and the next most common was housewife (23.1%).

    The most common number of family members was 3–5 (83.1%), with two children (49.9%) being the most common. The main source of household income was a full-time work-based company salary (71.1%), and almost half (49.5%) of the respondents answered that they felt they did not have enough financial leeway. Comparing the characteristics of the HL groups, significant differences were found in the dispersion trends for position from the child's side, number of family members, major source of household income and feeling of financial leeway.

    Table 2 shows the results of comparison of child time spent in minutes (min) for the seven behavioral categories by parent/guardian HL group. The child's time spent on watching television was longer in the group with low HL on both weekdays and weekends, with statistically significant differences between the two groups (weekday: low HL group 90.3 min, high HL group 83.2 min, difference 7.07 min, P < 0.001; similarly, weekend: 146.9 min, 136.3 min, difference 10.67 min, P = 0.001). The child's time spent on playing video games was also longer in the group with low HL on both weekdays and weekends, with statistically significant differences between the two groups (weekday: low HL group 34.7 min, high HL group 30.1 min, difference 4.62 min, P < 0.001; similarly, weekend: 70.5 min, 62.0 min, difference 8.51 min, P = 0.001). There were no significant differences between HL groups for time spent studying, reading books or helping with family/housework. The tendency was for time of studying and helping family/housework to be slightly longer in the higher HL group and time of reading books to be slightly longer in the lower HL group. The child's time spent on playing outside was greater in the high HL group both on weekdays and on weekends. A statistically significant difference was shown only on weekdays (low HL group 28.8 min, high HL group 32.3 min, difference 3.50 min, P < 0.001). The child's time spent on doing hobbies was greater in the high HL group on both weekdays and weekends, with statistically significant difference (weekday: low HL group 8.4 min, high HL group 10.0 min group, difference 1.64 min, P < 0.038; similarly, weekend: 17.8 min, 21.6 min, difference 3.74 min, P = 0.014).

    Table 1.  Demographic characteristics among parents/guardians according to HL groups.
    Total
    (n = 3188)
    Parent/guardian HL score
    P*
    Low group
    (n = 1689)
    High group
    (n = 1499)
    Position from child's side
    Mother 95.2 94.6 95.8 0.035
    Father 3.5 3.8 3.2
    Others 0.8 1.2 0.4
    Age group, years old
    <30 2.4 2.1 2.7 0.351
    30–39 47.4 47.0 47.8
    40–49 47.2 47.7 46.7
    >49 2.5 2.8 2.2
    Type of employment
    Full time job 22.0 23.1 22.5 0.114
    Part time job 46.6 43.4 45.1
    Self-employed 4.0 4.9 4.4
    Housewife 23.1 24.5 23.8
    On leave of absence/parental leave 0.9 1.4 1.2
    Seeking employment 0.4 0.4 0.4
    Others 2.4 1.3 1.9
    Number of family members
    <3 persons 2.4 2.8 1.8 0.003
    3–5 persons 83.1 81.1 85.5
    >5 persons 14.1 15.7 12.1
    Unknown 0.5 0.4 0.6
    Number of children
    1 child 15.0 14.8 15.3 0.896
    2 children 49.9 49.8 50.0
    >2 children 35.1 35.4 34.8
    Major source of household income
    Self-employed (including agriculture, forestry, and fisheries) 7.6 7.7 7.4 0.045
    Company employee, full-time salary 71.1 72.2 70.0
    Company employee, part-time salary 12.6 11.1 14.2
    Public servant salary 5.1 4.9 5.3
    Others 0.4 0.5 0.3
    Feeling of financial leeway
    Enough 26.6 22.9 30.9 <0.001
    Not enough 49.5 51.5 47.4
    Neither 22.8 24.3 21.1

    *Note: *Comparisons of variance between groups of HL; “Unknown” responses were removed from the table; total % is less than 100 in some places.

     | Show Table
    DownLoad: CSV
    Table 2.  Contents and minutes of child's time spent at home compared by HL groups.
    Parent/guardian HL score
    Difference* P#
    Low group High group
    Contents of daily spending time
    Watching television
    Weekday 90.3±57.4 83.2±54.3 7.07 <0.001
    Weekend 146.9±94.5 136.3±90.2 10.67 0.001
    Playing video games
    Weekday 34.7±39.6 30.1±34.4 4.62 <0.001
    Weekend 70.5±72.1 62.0±68.0 8.51 0.001
    Studying
    Weekday 49.2±25.7 49.3±25.4 −0.11 0.902
    Weekend 42.1±39.0 43.3±35.5 −1.22 0.353
    Reading books
    Weekday 18.2±22.6 17.6±19.4 0.64 0.389
    Weekend 26.9±32.9 26.1±30.8 0.83 0.463
    Helping with family/housework
    Weekday 10.5±12.6 11.0±12.2 −0.47 0.280
    Weekend 15.6±20.8 15.8±17.6 −0.19 0.781
    Playing outside
    Weekday 28.8±35.5 32.3±36.6 −3.50 0.006
    Weekend 73.4±85.9 78.0±89.7 −4.65 0.136
    Doing hobbies
    Weekday 8.4±22.6 10.0±22.0 −1.64 0.038
    Weekend 17.8±40.7 21.6±44.7 −3.74 0.014

    *Note: Values in table: mean ± standard deviation, values in minutes; *Difference of the mean of the low-scoring group minus the mean of the high-scoring group; #Welch t-test.

     | Show Table
    DownLoad: CSV
    Table 3.  Results of odds ratios of time spent by children with high HL group parents/guardians.
    No. in HL group
    Crude OR
    (95%CI)
    P Adjusted OR
    (95%CI)
    P
    Low High
    Watching television
    Weekday <30 min 87 107 1.00 (ref.) 1.00 (ref.)
    ≥30 min 1602 1392 0.71 (0.53–0.95) 0.020 0.71 (0.53–0.95) 0.022
    Weekend <30 min 104 108 1.00 (ref.) 1.00 (ref.)
    ≥30 min 1585 1391 0.85 (0.64–1.12) 0.237 0.86 (0.65–1.14) 0.304
    Playing video games
    Weekday <30 min 729 701 1.00 (ref.) 1.00 (ref.)
    ≥30 min 960 798 0.86 (0.75–0.99) 0.041 0.86 (0.75–0.99) 0.038
    Weekend <30 min 413 440 1.00 (ref.) 1.00 (ref.)
    ≥30 min 1276 1059 0.78 (0.67–0.91) 0.002 0.78 (0.66–0.91) 0.002
    Studying
    Weekday <30 min 165 133 1.00 (ref.) 1.00 (ref.)
    ≥30 min 1520 1362 1.11 (0.87–1.41) 0.387 1.11 (0.87–1.41) 0.396
    Weekend <30 min 474 378 1.00 (ref.) 1.00 (ref.)
    ≥30 min 1214 1121 1.16 (0.99–1.36) 0.068 1.16 (0.99–1.36) 0.064
    Reading books
    Weekday <30 min 1111 988 1.00 (ref.) 1.00 (ref.)
    ≥30 min 576 511 1.00 (0.86–1.16) 0.974 0.99 (0.86–1.15) 0.904
    Weekend <30 min 903 779 1.00 (ref.) 1.00 (ref.)
    ≥30 min 786 720 1.06 (0.92–1.22) 0.399 1.05 (0.91–1.21) 0.482
    Helping with family/housework
    Weekday <30 min 1465 1296 1.00 (ref.) 1.00 (ref.)
    ≥30 min 223 203 1.03 (0.84–1.26) 0.784 1.05 (0.86–1.29) 0.632
    Weekend <30 min 1280 1124 1.00 (ref.) 1.00 (ref.)
    ≥30 min 409 375 1.04 (0.89–1.23) 0.600 1.06 (0.90–1.25) 0.486
    Playing outside
    Weekday <30 min 864 683 1.00 (ref.) 1.00 (ref.)
    ≥30 min 825 816 1.25 (1.09–1.44) 0.002 1.24 (1.08–1.43) 0.003
    Weekend <30 min 524 425 1.00 (ref.) 1.00 (ref.)
    ≥30 min 1165 1074 1.14 (0.98–1.32) 0.100 1.14 (0.97–1.33) 0.105
    Doing hobbies
    Weekday <30 min 1445 1208 1.00 (ref.) 1.00 (ref.)
    ≥30 min 244 291 1.43 (1.18–1.72) <0.001 1.39 (1.15–1.68) 0.001
    Weekend <30 min 1270 1049 1.00 (ref.) 1.00 (ref.)
    ≥30 min 419 450 1.30 (1.11–1.52) 0.001 1.27(1.09–1.49) 0.003

    *Note: Abbreviations in the table: OR = odds ratio, CI = confidence interval, ref. = reference; Adjustment variables as follows: position of parent/guardian from child's side, age group of parent/guardian, type of employment of parent/guardian, number of family members, number of children, major source of household income, feeling of financial leeway.

     | Show Table
    DownLoad: CSV

    Table 3 shows the odds ratios for child time spent for more than 30 minutes compared to less than 30 minutes in the group with high parental/guardian HL. The ORs of spending more than 30 minutes for watching television and video game playing were lower in the higher HL group. The adjusted ORs were 0.71 (95% CI = 0.53–0.95, P = 0.002) for weekday television watching, 0.86 (95% CI = 0.75–0.99, P = 0.038) for weekday video game playing and 0.78 (95% CI = 0.66–0.91, P = 0.002) for weekend video game playing. The ORs were close to 1.00 for study time, reading time and helping with family/housework either on weekdays or weekends. The ORs of spending more than 30 minutes playing outside and doing hobbies were higher in the higher HL group. The adjusted ORs were 1.24 (95% CI = 1.08–1.43, P = 0.003) for weekday playing outside, 1.39 (95% CI = 1.15–1.68, P = 0.001) for weekday hobby time and 1.27 (95% CI = 1.09–1.49, P = 0.003) for weekend hobby time. In a detailed analysis, significant differences in weekday television watching, weekday playing video games, weekend playing video games and weekday outside playing were even more noticeable for the more than 120 minutes time (not shown in the result table). The adjusted ORs were 0.65 (95% CI = 0.46–0.92, P = 0.041) for weekday television watching, 0.64 (95% CI = 0.47–0.88, P = 0.006) for weekday playing video games, 0.67 (95% CI = 0.55–0.82, P < 0.001) for weekend playing video games and 1.46 (95% CI = 1.05–2.04, P = 0.026) for weekday outside playing.

    We examined the association between parental/guardian health literacy and child's time spent at home, based on data of approximately 3000 Japanese schoolchildren. Overall, parental/guardian HL was strongly associated with the following four behavioral categories of time spent by children: watching television, playing video games, playing outside and doing hobbies. Our results for TV time and game time are consistent with previous studies, and regarding outdoor play as a physical activity, the direction of the results of the present study agrees with other previous studies [1],[3],[6][8].

    The largest difference in terms of number of hours was found for weekend watching television, which was approximately 10.6 minutes/day longer in the low parent/guardian HL group. The second largest time difference was found for weekend time playing video games, which was about 8.5 minutes/day longer in the low parent/guardian HL group. Children in the high parent/guardian HL group spent approximately 4.6 minutes more time playing outside on weekends and 3.7 minutes more time doing hobbies on weekends than children in the low parent/guardian HL group. The differences were measured in minutes and appeared small; however, this difference would be larger with long-term cumulation. Elementary schools in Japan have roughly 200 school days in a year. It is estimated that a difference of 7 min/day in children's weekday TV watching amounts to a difference of 1400 min/year, that is, about 23 hours.

    The results of the logistic analysis indicated that higher parental/guardian HL may reduce the probability of children spending more than 30 minutes watching TV on weekdays and playing games on weekdays and weekends. Higher parent/guardian HL indicated that the probability of children spending more than 30 minutes outside on weekdays and on weekday and weekend hobbies increased. Sub-analyses also suggested that higher parental/guardian HL, less likely for children to spend more than 2 hours watching TV on weekdays and playing games on weekdays and weekends while more likely for children to spend more than 2 hours playing outside. These results suggest that if parents/guardians have a high level of HL, it might be possible to reduce the amount of time children spend watching TV and playing games to less than 30 minutes or less than 120 minutes and to increase the amount of time they spend playing outside and enjoying their hobbies to more than 30 minutes or more than 120 minutes.

    In recent years, reports have also accumulated on children's screen time, sedentary time and their health disadvantages [3],[5],[15],[16]. The TV watching and video gaming time collected in this study could be substituted as total screen time or sitting time, although use of computers, mobile phones and smartphones was not included. Hence, screen time and sitting time were not estimated in this study. Our study also has some limitations. First, the data on children's time spent at home was based on questionnaire responses by parents/guardians and not actual measurement data, so some response errors were unavoidable. There may also be differences in content-specific time by child age and by sex. Our present study has not fully examined the variables. The information such as the child's sex/gender, year of age and class could not be added to the questionnaire due to concerns about the possibility of identifying the child. In particular, the time spent playing outside may differ by gender and age group. This remains an issue for future surveys. It has been also reported that parenting style could be significantly related to children's daily life and health behaviors [17][20]. The present study may not have adequately adjusted for parental parenting attitudes. It may also be insufficient for SES indicators, but the impact of SES as a predictor of health literacy appears to be limited [21].

    The present study focused on the relationship between parental/guardian HL and seven behavioral categories of child's time spent at home. There are few reports investigating the time spent by Japanese schoolchildren and the parents' HL, so the results of this study are very meaningful. Many factors, including the parental/guardian HL focused on in this study, have direct and indirect or combinatory influences on children's health behaviors and health outcomes. Further findings are expected from comprehensive and continuing epidemiological study.

    Our study conducted in Japanese schoolchildren showed that parental/guardian HL was associated with some contents of child's time spent at home. High parental/guardian HL was negatively associated with children's time spent watching TV and playing games, while times spent playing outside and doing hobbies were positively associated.



    [1] Kazem HA, Al-Waeli AH, Chaichan MT, et al. (2017) Design, measurement and evaluation of photovoltaic pumping system for rural areas in Oman. Environ, Dev Sustainability 19: 1041-1053. doi: 10.1007/s10668-016-9773-z
    [2] Zhang S, Zhuang Z, Hu Y, et al. (2016) Applicability study on a hybrid renewable energy system for Net-Zero energy house in Shanghai. Energy Procedia 88: 768-774. doi: 10.1016/j.egypro.2016.06.108
    [3] Tan H (2015) The development and applicability of renewable energy for buildings. Build Sci 8: 34-42.
    [4] Firth SK (2006) Raising efficiency in photovoltaic systems: High resolution monitoring and performance analysis.
    [5] Kazem HA, Al-Badi HA, Al Busaidi AS, et al. (2016) Optimum design and evaluation of hybrid solar/wind/diesel power system for Masirah Island. Environ, Dev Sustainability 19: 1761-1778.
    [6] Oi A (2005) Design and simulation of photovoltaic water pumping system. California Polytechnic State University.
    [7] Chow TT (2010) A review on photovoltaic/thermal hybrid solar technology. Appl Energy 87: 365-379. doi: 10.1016/j.apenergy.2009.06.037
    [8] Kalogirou SA, Tripanagnostopoulos Y (2006) Hybrid PV/T solar systems for domestic hot water and electricity production. Energy Convers Manage 47: 3368-3382. doi: 10.1016/j.enconman.2006.01.012
    [9] Li M, Ji X, Li G, et al. (2011) Performance study of solar cell arrays based on a trough concentrating photovoltaic/thermal system. Appl Energy 88: 3218-3227. doi: 10.1016/j.apenergy.2011.03.030
    [10] Shan F, Tang F, Cao L, et al. (2014) Performance evaluations and applications of photovoltaic-thermal collectors and systems. Renewable Sustainable Energy Rev 33:467-483. doi: 10.1016/j.rser.2014.02.018
    [11] Tyagi VV, Kaushik SC, Tyagi SK (2012) Advancement in solar photovoltaic/thermal (PV/T) hybrid collector technology. Renewable Sustainable Energy Rev 16: 1383-1398. doi: 10.1016/j.rser.2011.12.013
    [12] Tripanagnostopoulos Y (2007) Aspects and improvements of hybrid photovoltaic/thermal solar energy systems. Sol Energy 81: 1117-1131. doi: 10.1016/j.solener.2007.04.002
    [13] Tiwari GN, Mishra RK, Solanki SC (2011) Photovoltaic modules and their applications: A review on thermal modelling. Appl Energy 88: 2287-2304. doi: 10.1016/j.apenergy.2011.01.005
    [14] Reddy SR, Ebadian MA, Lin CX (2015) A review of PV-T systems: thermal management and efficiency with single phase cooling. Int J Heat Mass Trans 91: 861-871. doi: 10.1016/j.ijheatmasstransfer.2015.07.134
    [15] Charalambous PG, Maidment GG, Kalogirou SA, et al. (2007) Photovoltaic thermal (PV/T) collectors: A review. Appl Therm Eng 27: 275-286. doi: 10.1016/j.applthermaleng.2006.06.007
    [16] Besheer AH, Smyth M, Zacharopoulos A, et al. (2016) Review on recent approaches for hybrid PV/T solar technology. Int J Energy Res 40: 2038-2053. doi: 10.1002/er.3567
    [17] Kim HJ, Lee SH, Lee JH, et al. (2015) Effect of particle shape on suspension stability and thermal conductivities of water-based bohemite alumina nanofluids. Energy 90: 1290-1297. doi: 10.1016/j.energy.2015.06.084
    [18] Ali HM, Ali H, Liaquat H, et al. (2015) Experimental investigation of convective heat transfer augmentation for car radiator using ZnO-water nanofluids. Energy 84: 317-324. doi: 10.1016/j.energy.2015.02.103
    [19] Manikandan S, Rajan KS (2015) MgO-Therminol 55 nanofluids for efficient energy management: analysis of transient heat transfer performance. Energy 88: 408-416. doi: 10.1016/j.energy.2015.05.061
    [20] Sun B, Lei W, Yang D (2015) Flow and convective heat transfer characteristics of Fe2O3-water nanofluids inside copper tubes. Int Commun Heat Mass Tran 64: 21-28. doi: 10.1016/j.icheatmasstransfer.2015.01.008
    [21] Setti D, Sinha MK, Ghosh S, et al. (2015) Performance evaluation of Ti-6Al-4V grinding using chip formation and coefficient of friction under the influence of nanofluids. Int J Mach Tools and Manuf 88: 237-248. doi: 10.1016/j.ijmachtools.2014.10.005
    [22] Zhang Y, Li C, Jia D, et al. (2015) Experimental evaluation of the lubrication performance of MoS2/CNT nanofluid for minimal quantity lubrication in Ni-based alloy grinding. Int J Mach Tools Manuf 99: 19-33. doi: 10.1016/j.ijmachtools.2015.09.003
    [23] Hong J, Kim D (2012) Effects of aggregation on the thermal conductivity of alumina/water nanofluids. Thermochim Acta 542: 28-32. doi: 10.1016/j.tca.2011.12.019
    [24] Meng ZQ, Li XB, Xion YJ, et al. (2012) Preparation and tribological performances of Ni-P-multi-walled carbon nanotubes composite coatings. Trans Nonferrous Met Soc China 22: 2719-2725. doi: 10.1016/S1003-6326(11)61523-9
    [25] Abdolzadeh M, Ameri M (2009) Improving the effectiveness of a photovoltaic water pumping system by spraying water over the front of photovoltaic cells. Renewable Energy 34: 91-96. doi: 10.1016/j.renene.2008.03.024
    [26] Al-Shamani AN, Sopian K, Mat S, et al. (2016) Experimental studies of rectangular tube absorber photovoltaic thermal collector with various types of nanofluids under the tropical climate conditions. Energy Convers Manage 124: 528-542. doi: 10.1016/j.enconman.2016.07.052
    [27] Cui Y, Zhu Q (2012) Study of photovoltaic/thermal systems with MgO-water nanofluids flowing over silicon solar cells. Asia-Pacific Power and Energy Engineering Conference (APPEEC), 1-4.
    [28] Michael JJ, Iniyan S (2015) Performance analysis of a copper sheet laminated photovoltaic thermal collector using copper oxide-water nanofluid. Sol Energy 119: 439-451. doi: 10.1016/j.solener.2015.06.028
    [29] Rejeb O, Sardarabadi M, Ménézo C, et al. (2016) Numerical and model validation of uncovered nanofluid sheet and tube type photovoltaic thermal solar system. Energy Convers Manage 110: 367-377.
    [30] Sardarabadi M, Passandideh-Fard M, Heris SZ, (2014) Experimental investigation of the effects of silica/water nanofluid on PV/T (photovoltaic thermal units). Energy 66: 264-272. doi: 10.1016/j.energy.2014.01.102
    [31] Al-Waeli AH, Sopian K, Chaichan M, et al. (2017) An experimental investigation of SiC nanofluid as a base-fluid for a photovoltaic thermal PV/T system. Energy Convers Manage 142: 547-558.
    [32] Jing D, Hu Y, Liu M, et al. (2015) Preparation of highly dispersed nanofluid and CFD study of its utilization in a concentrating PV/T system. Sol Energy 112: 30-40. doi: 10.1016/j.solener.2014.11.008
    [33] Radwan A, Ahmed M, Ookawara S (2016) Performance enhancement of concentrated photovoltaic systems using a microchannel heat sink with nanofluids. Energy Convers Manage 119: 289-303.
    [34] Karami N, Rahimi M (2014) Heat transfer enhancement in a PV cell using Boehmite nanofluid. Energy Convers Manage 86: 275-285. doi: 10.1016/j.enconman.2014.05.037
    [35] Hussien HA, Noman AH, Abdulmunem AR (2015) Indoor investigation for improving the hybrid photovoltaic/thermal system performance using nanofluid (Al2O3-water). Eng Tech J 33: 889-901.
    [36] Al-Waeli AH, Chaichan MT, Kazem HA, et al. (2017) Comparative study to use nano-(Al2O3, CuO, and SiC) with water to enhance photovoltaic thermal PV/T collectors. Energy Convers Manage 148: 963-973.
    [37] Sardarabadi M, Passandideh-Fard M (2016) Experimental and numerical study of metal-oxides/water nanofluids as coolant in photovoltaic thermal systems (PV/T). Sol Energy Mater Sol Cells 157: 533-542. doi: 10.1016/j.solmat.2016.07.008
    [38] Bellos E, Tzivanidis C (2017) Yearly performance of a hybrid PV operating with nanofluid. Renewable Energy 113: 867-884. doi: 10.1016/j.renene.2017.06.060
    [39] Lari MO, Sahin AZ (2017) Design, performance and economic analysis of a nanofluid-based photovoltaic/thermal system for residential applications. Energy Convers Manage 149: 467-484 doi: 10.1016/j.enconman.2017.07.045
    [40] Sardarabadi M, Passandideh-Fard M, Maghrebi MJ, et al. (2017) Experimental study of using both ZnO/water nanofluid and phase change material (PCM) in photovoltaic thermal systems. Sol Energy Mater Sol Cells 161: 62-69. doi: 10.1016/j.solmat.2016.11.032
    [41] Al-Shamani AN, Sopian K, Mat S, et al. (2017) Performance enhancement of photovoltaic grid-connected system using PV/T panels with nanofluid. Sol Energy 150: 38-48. doi: 10.1016/j.solener.2017.04.005
    [42] Hasan HA, Sopian K, Jaaz AH, et al. (2017) Experimental investigation of jet array nanofluids impingement in photovoltaic/thermal collector. Sol Energy 144: 321-334. doi: 10.1016/j.solener.2017.01.036
    [43] Gangadevi R, Vinayagam BK, Senthilraja S (2017) Experimental investigations of hybrid PV/Spiral flow thermal collector system performance using Al2O3/water nanofluid. IOP Conference Series: Materials and Science Engineering.197: 012041.
    [44] Chandrasekar M, Suresh S, Senthilkumar T (2013) Passive cooling of standalone flat PV module with cotton wick structures. Energy Convers Manage 71: 43-50. doi: 10.1016/j.enconman.2013.03.012
    [45] An W, Wu J, Zhu T, et al. (2016) Experimental investigation of a concentrating PV/T collector with Cu9S5 nanofluid spectral splitting filter. Appl Energy 184: 197-206. doi: 10.1016/j.apenergy.2016.10.004
    [46] Xu Z, Kleinstreuer C (2014) Concentration photovoltaic-thermal energy co-generation system using nanofluids for cooling and heating. Energy Convers Manage 87: 504-512. doi: 10.1016/j.enconman.2014.07.047
    [47] Hjerrild NE, Mesgari S, Crisostomo F, et al. (2016) Hybrid PV/T enhancement using selectively absorbing Ag-SiO2/carbon nanofluids. Sol Energy Mater Sol Cells 147: 281-287. doi: 10.1016/j.solmat.2015.12.010
    [48] Otanicar TP, Chowdhury I, Prasher R, et al. (2011) Band-gap tuned direct absorption for a hybrid concentrating solar photovoltaic/thermal system. J Sol Energy Eng 133: 041014. doi: 10.1115/1.4004708
    [49] Taylor RA, Otanicar T, Rosengarten G (2012) Nanofluid-based optical filter optimization for PV/T systems. Light: Sci Appl 1: 1-7.
    [50] Hassani S, Saidur R, Mekhilef S, et al. (2016) Environmental and exergy benefit of nanofluid based hybrid PV/T systems. Energy Convers Manage 123: 431-444. doi: 10.1016/j.enconman.2016.06.061
    [51] Otanicar TP, Taylor RA, Telang C (2013) Photovoltaic/thermal system performance utilizing thin film and nanoparticle dispersion based optical filters. J Renewable Sustainable Energy 5: 033124. doi: 10.1063/1.4811095
    [52] Dorodnyy A, Shklover A, Braginsky L, et al. (2015) High-efficiency spectrum splitting for solar photovoltaics. Sol Energy Mater Sol Cells 136: 120-126. doi: 10.1016/j.solmat.2015.01.005
    [53] Eisler CA, Flowers CA, Warmann EC, et al. (2018) The polyhedral specular reflector: A spectrum-splitting multijunction design to achieve ultrahigh (>50%) solar module efficiencies. IEEE J Photovolt 9: 174-182.
    [54] Liang H, Cheng Z, Wang H, et al. (2019) Investigation on optical properties and solar energy conversion efficiency of spectral splitting PV/T system. Energy Procedia 158: 15-20. doi: 10.1016/j.egypro.2019.01.025
    [55] Hjerrild NE, Mesgari S, Crisostomo F, et al. (2016) Hybrid PV/T enhancement using selectively absorbing Ag-SiO2/carbon nanofluids. Sol Energy Mater Sol Cell 147: 281-287. doi: 10.1016/j.solmat.2015.12.010
    [56] Khanjari Y, Pourfayaz F, Kasaeian AB (2016) Numerical investigation on using of nanofluid in a water-cooled photovoltaic thermal system. Energy Convers Manage 122: 263-278. doi: 10.1016/j.enconman.2016.05.083
    [57] Xu Z, Kleinstreuer C (2014) Computational analysis of nanofluid cooling of high concentration photovoltaic cells. J Therm Sci Eng Appl 6: 031009. doi: 10.1115/1.4026355
    [58] Al-Waeli AH, Kazem HA, Sopian K, et al. (2017) Techno-economical assessment of grid connected PV/T using nanoparticles and water as base-fluid systems in Malaysia. Inter J Sustainable Energy 37: 558-575.
    [59] Saroha S, Mittal T, Modi PJ, et al. (2015) Theoretical analysis and testing of nanofluids-based solar photovoltaic/thermal hybrid collector. J Heat Trans 137: 091015.
    [60] Zhao J, Song Y, Lam WH, et al. (2011) Solar radiation transfer and performance analysis of an optimum photovoltaic/thermal system. Energy Convers Manage 52: 1343-1353. doi: 10.1016/j.enconman.2010.09.032
    [61] No€el JA, et al. (2016) Phase change materials. Storing Energy, Elsevier, Oxford, 249-272.
    [62] Parameshwaran R, Sarı A, Jalaiah N, et al. (2018) Applications of thermal analysis to the study of phase-change materials. Handb Therm Anal Calorim 6: 519-572.
    [63] Zondag HA, de Boer R, Smeding SF, et al. (2018) Performance analysis of industrial PCM heat storage lab prototype. J Energy Storage 18: 402-413. doi: 10.1016/j.est.2018.05.007
    [64] Wang G, Xu C, Wei G, et al. (2019) Numerical study of a novel dual-PCM thermal energy storage structure filled with inorganic salts and metal alloy as the PCMs. Energy Procedia 158: 4423-4428. doi: 10.1016/j.egypro.2019.01.774
    [65] Raul A, Jain M, Gaikwad S, et al. (2018) Modelling and experimental study of latent heat thermal energy storage with encapsulated PCMs for solar thermal applications. Appl Therm Eng 143: 415-428. doi: 10.1016/j.applthermaleng.2018.07.123
    [66] Mousavi S, Kasaeian A, Shafii MB, et al. (2018) Numerical investigation of the effects of a copper foam filled with phase change materials in a water-cooled photovoltaic/thermal system. Energy Convers Manage 163: 187-195. doi: 10.1016/j.enconman.2018.02.039
    [67] Su D, Jia Y, Lin Y, et al. (2017) Maximizing the energy output of a photovoltaic thermal solar collector incorporating phase change materials. Energy Build 153: 382-391. doi: 10.1016/j.enbuild.2017.08.027
    [68] Zhou Y, Liu X, Zhang G (2017) Performance of buildings integrated with a photovoltaic thermal collector and phase change materials. Procedia Eng 205: 1337-1343. doi: 10.1016/j.proeng.2017.10.109
    [69] Yang X, Sun L, Yuan Y, et al. (2018) Experimental investigation on performance comparison of PV/T-PCM system and PV/T system. Renewable Energy 119: 152-159. doi: 10.1016/j.renene.2017.11.094
  • This article has been cited by:

    1. Herion Muja, Suela Vasil, Dorina Toçi, Timo Clemens, Helmut Brand, Genc Burazeri, Ability to Maintain and Improve Health and Socio-Demographic Correlates among Children in Albania, 2024, 63, 1854-2476, 113, 10.2478/sjph-2024-0016
    2. Pınar Bekar, Duygu Altuntaş, Emine Efe, The relationship between parental beliefs about child television viewing and their health literacy, 2025, 83, 08825963, 47, 10.1016/j.pedn.2025.04.021
  • Reader Comments
  • © 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(5809) PDF downloads(521) Cited by(11)

Figures and Tables

Figures(11)  /  Tables(3)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog