Loading [Contrib]/a11y/accessibility-menu.js
Review Special Issues

A critical review on thermal energy storage materials and systems for solar applications

  • Due to advances in its effectiveness and efficiency, solar thermal energy is becoming increasingly attractive as a renewal energy source. Efficient energy storage, however, is a key limiting factor on its further development and adoption. Storage is essential to smooth out energy fluctuations throughout the day and has a major influence on the cost-effectiveness of solar energy systems. This review paper will present the most recent advances in these storage systems. The manuscript aims to review and discuss the various types of storage that have been developed, specifically thermochemical storage (TCS), latent heat storage (LHS), and sensible heat storage (SHS). Among these storage types, SHS is the most developed and commercialized, whereas TCS is still in development stages. The merits and demerits of each storage types are discussed in this review. Some of the important organic and inorganic phase change materials focused in recent years have been summarized. The key contributions of this review article include summarizing the inherent benefits and weaknesses, properties, and design criteria of materials used for storing solar thermal energy, as well as discussion of recent investigations into the dynamic performance of solar energy storage systems.

    Citation: D.M. Reddy Prasad, R. Senthilkumar, Govindarajan Lakshmanarao, Saravanakumar Krishnan, B.S. Naveen Prasad. A critical review on thermal energy storage materials and systems for solar applications[J]. AIMS Energy, 2019, 7(4): 507-526. doi: 10.3934/energy.2019.4.507

    Related Papers:

    [1] Waled Amen Mohammed Ahmed, Ziad Mohammad Yousef Alostaz, Ghassan Abd AL- Lateef Sammouri . Effect of Self-Directed Learning on Knowledge Acquisition of Undergraduate Nursing Students in Albaha University, Saudi Arabia. AIMS Medical Science, 2016, 3(3): 237-247. doi: 10.3934/medsci.2016.3.237
    [2] Konnor Davis, Soheil Saadat, Christian R. Hardoy, Trinh Do, Kathryn Uchida, Jacob Schlossman, Ronald Rivera, Alisa Wray . Rates, routes, and reasons for attending community college before medical school: An analysis of a subset of Southern California medical students. AIMS Medical Science, 2024, 11(1): 34-46. doi: 10.3934/medsci.2024003
    [3] Elgar Salmasi, Monireh Anoosheh, Zohreh Vanaki . Perceived strategies of Iranian nursing students in confronting with living challenges. AIMS Medical Science, 2019, 6(4): 268-284. doi: 10.3934/medsci.2019.4.268
    [4] Jayson M. Stoffman . Adult learning principles in the development of an academic half day session. AIMS Medical Science, 2024, 11(1): 25-33. doi: 10.3934/medsci.2024002
    [5] Dionysios Tafiadis, Georgios Tatsis, Nausica Ziavra, Eugenia I. Toki . Voice Data on Female Smokers: Coherence between the Voice Handicap Index and Acoustic Voice Parameters. AIMS Medical Science, 2017, 4(2): 151-163. doi: 10.3934/medsci.2017.2.151
    [6] Kavin Mozhi James, Divya Ravikumar, Sindhura Myneni, Poonguzhali Sivagananam, Poongodi Chellapandian, Rejili Grace Joy Manickaraj, Yuvasree Sargunan, Sai Ravi Teja Kamineni, Vishnu Priya Veeraraghavan, Malathi Kullappan, Surapaneni Krishna Mohan . Knowledge, attitudes on falls and awareness of hospitalized patient's fall risk factors among the nurses working in Tertiary Care Hospitals. AIMS Medical Science, 2022, 9(2): 304-321. doi: 10.3934/medsci.2022013
    [7] Ray Marks . Narrative Review of Vitamin D and Its Specific Impact on Balance Capacity in Older Adults. AIMS Medical Science, 2016, 3(4): 345-358. doi: 10.3934/medsci.2016.4.345
    [8] Yun Ying Ho, Laurence Tan, Chou Chuen Yu, Mai Khanh Le, Tanya Tierney, James Alvin Low . Empathy before entering practice: A qualitative study on drivers of empathy in healthcare professionals from the perspective of medical students. AIMS Medical Science, 2023, 10(4): 329-342. doi: 10.3934/medsci.2023026
    [9] Nathacha Garcés, Angel Jara, Felipe Montalva-Valenzuela, Claudio Farías-Valenzuela, Gerson Ferrari, Paloma Ferrero-Hernández, Antonio Castillo-Paredes . Motor performance in children and adolescents with attention deficit and hyperactivity disorder: A systematic review. AIMS Medical Science, 2025, 12(2): 247-267. doi: 10.3934/medsci.2025017
    [10] Diogo Henrique Constantino Coledam, Philippe Fanelli Ferraiol, Gustavo Aires de Arruda, Arli Ramos de Oliveira . Correlates of the use of health services among elementary school teachers: A cross-sectional exploratory study. AIMS Medical Science, 2023, 10(4): 273-290. doi: 10.3934/medsci.2023021
  • Due to advances in its effectiveness and efficiency, solar thermal energy is becoming increasingly attractive as a renewal energy source. Efficient energy storage, however, is a key limiting factor on its further development and adoption. Storage is essential to smooth out energy fluctuations throughout the day and has a major influence on the cost-effectiveness of solar energy systems. This review paper will present the most recent advances in these storage systems. The manuscript aims to review and discuss the various types of storage that have been developed, specifically thermochemical storage (TCS), latent heat storage (LHS), and sensible heat storage (SHS). Among these storage types, SHS is the most developed and commercialized, whereas TCS is still in development stages. The merits and demerits of each storage types are discussed in this review. Some of the important organic and inorganic phase change materials focused in recent years have been summarized. The key contributions of this review article include summarizing the inherent benefits and weaknesses, properties, and design criteria of materials used for storing solar thermal energy, as well as discussion of recent investigations into the dynamic performance of solar energy storage systems.


    One of the factors affecting education that less has been addressed is burnout, which is referred to as academic burnout, and can be one of the factors interrupting education. In general, academic burnout can be defined as fatigue due to study requirements, having a pessimistic sense toward homework and a feeling of inadequacy as a student [1].

    Following the theory of job burnout, the fatigue deriving from school or university can be defined as the feeling of pressure, especially chronic fatigue resulting from heavy homework. Pessimism, in turn, is defined as an apathetic attitude toward homework, lack of interest in doing school assignments and oversimplification of homework. Lack of efficiency is also seen as a loss of merit along with lack of success and failure to perform assignments [2]. Newman, on the other hand, considers academic burnout among students as one of the major areas of academic research for a number of reasons. First, academic burnout can be an important clue in understanding diverse behaviors of the students, including academic performance, during the period of study. Second, academic burnout affects the relationship between students and college and university. For example, academic burnout affects students' commitment to college and their participation in academic affairs after graduation. Third, academic burnout can affect students' passion and enthusiasm toward continuing their education. For this reason, identification of variables predicting academic burnout is one of the main issues in the field of education [3]. Therefore, examining the factors associated with burnout is of high importance. One of the factors affecting academic burnout is educational factors. In this regard, the results of the Salmela-Aro study showed a negative relationship between academic burnout and dominant atmosphere of the school and educational performance [4]. The results of a study by Neami and Hayati showed a significant negative relationship between the quality of learning experiences (references, content, learning flexibility, student-teacher relationship) and academic burnout dimensions [5],[6]. Therefore, given the importance of academic burnout, this study tried to assess the relationship between academic burnout and educational factors among students of Guilan University of Medical Sciences.

    This cross-sectional study was conducted on students of Guilan University of Medical Sciences in 2015–2016. The research population included 997 students of Guilan University of Medical Sciences who were in second semester or higher. The sample size of the study was determined 555 individuals by based on the results of the study by Hayati et al. regarding the correlation between teacher and student relationship and academic burnout [7]. Stratified random sampling method was used in this study.

    This research protocol was approved by the Ethical Committee of Guilan University of Medical Sciences (registration code: GUMS.RES.1394.22). Then, after obtaining a recommendation letter from related authorities, written consents were obtained from the students who were willing to participate in the research during one month.

    The data collection instruments used in this study was Maslach Burnout Inventory- Student Survey and Educational Factors Questionnaire. Maslach Burnout Inventory- Student Survey consists of 15 items and includes three subscales, including Emotional exhaustion, Cynicism, and Self-efficacy. All questions are graded in a 7-point Likert scale from Never (0) to Always [6],[7]. High scores in emotional exhaustion, cynicism, and low scores in self-efficacy indicate academic burnout. It has to be noted that self-efficacy is scored reversely. Questions 1 to 7 relate to emotional exhaustion subscale, questions 8 and 9 related to the cynicism subscale, and questions 10 to 15 relate to self-efficacy subscale. This questionnaire was validated by Rostami et al. (2011) in Iran (69).

    A researcher-made educational factors questionnaire, that were designed based on reviewing related literature, was also used in this study. This questionnaire consists of three aspects of educational factors in relation to learner, lecturer, environment and theoretical training facilities. Educational factors questionnaire in terms of learner was a researcher made questionnaire that included the quota in entrance exam, the interval between taking pre-university degree to entrance exam, academic major, college, study semester, passion toward the major, failing in courses, the number of failing in a course and the probation record. The educational factors questionnaire in terms of teacher was a researcher-made questionnaire and was used to measure the quality of theoretical knowledge of the teachers from the point of view of students, and included 10 items in the form of 5-point Likert scale (totally agree, agree, not sure, disagree, totally disagree). In this questionnaire the correlation between every single subscale and academic burnout was examined. Content validity index (CVI), content validity ratio (CVR) were used to determine the content validity of every single questionnaire in terms of simplicity, clarity and relevance. The content validity of both subscales ranged between 0.78 and 1. In order to assess the reliability of the questionnaires, internal consistency, Cronbach's alpha coefficient and test re-test analyses were used. To that end, in a preliminary study, 20 qualified students were selected randomly and were asked to complete the questionnaires. After one week, the questionnaires were completed once again by the same students. Then, data analysis was performed using the statistical package for social sciences (SPSS) software version 21. The observed Cronbach's alpha coefficients of the theoretical educational factors questionnaire and learning environment and facilities were 73% and 77%, respectively. Furthermore, the reliability of the educational factors questionnaire in the field of lecturer was determined as 93% and the reliability of the theoretical educational factors questionnaire in the field of learning environment and facilities was determined as 99% by test re-test analysis, which suggest acceptable reliability of the questionnaire.

    Data were analyzed using independent t-test, Pearson correlation coefficient, Spearman and analysis of variance (ANOVA) tests, using the SPSS software version 21.

    Table 1 shows a statistically significant correlation between academic burnout and passion for college major (P < 0.0001), failing in courses (P < 0.0001) and probation record (P < 0.009). Table 2 shows that there was a statistically significant correlation between academic burnout and all Educational factors in the field of lecturer, based on Spearman correlation coefficient. Table 3 shows that there was a significant correlation between academic burnout and all educational factors in the field of learning environment and facilities based on Spearman correlation coefficient.

    Table 1.  Correlation between academic burnout and the educational factors in the field of learner.
    Academic burnout
    Variable
    P
    Type of quota in entrance exam Regional 0.099
    Veteran
    The interval between taking pre-university degree and participating in the entrance exam Immediately after taking the degree 0.136
    One year
    Two years
    Three years or more
    Major Nursing 0.213
    Midwifery
    Operation room
    Anesthesia
    Lab sciences
    Radiology
    Professional Health Engineering
    Environmental Health Engineering
    Public Health
    The university Shahid Beheshti Rasht 0.739
    Paramedical Langroud
    Rasht hygiene college
    Semester Second 0.412
    Third
    Fourth
    Fifth
    Sixth
    Passion for the major Yes 0.0001**
    No
    To some extent
    History of failing a course Yes 0.0001*
    No
    Frequency of failing a course Once 0.186
    Twice
    Three times
    More than three times
    Probation record Yes 0.009*
    No

     | Show Table
    DownLoad: CSV

    The aim of this study was to evaluate the relationship between academic burnout and educational factors among students of the Guilan University of Medical Sciences. The results showed that there was a statistically significant correlation between academic workout and passion for college major, failing in courses and probation record. Regarding the passion in college major variable, in the study by Ghadampour et al. a significant correlation was reported between passion or academic engagement for college major and academic burnout, indicating that an increase in exhaustion level and its components leads to an increase in students' educational passion [8]. It seems that lack of interest in the college major leads to lack of energy, enthusiasm and attention in students when attending a class, or even discourages them from attending classes that are not interesting to them or because they do not allocate enough time for such courses. All the mentioned items are related to the emotional dimension of academic burnout. All these factors ultimately lead to poor results and academic failure, which in turn exacerbates students' unwillingness and leads to cynicism and fatigue. Regarding the variables of failing the courses and probation, given that the academic performance refers to the students' progress or decline [9] and probation is one of the criteria for academic failure [10], according to Zahad study it can be said that there is an interrelationship between academic performance and academic burnout. On the one hand, poor academic performance leads to unwillingness, academic failure, emotional fatigue and ultimately academic burnout, and on the other hand, academic burnout leads to performance decline. Therefore, Zahad et al. reported a significant relationship between academic performance and academic burnout. This relationship was negative (correlation coefficient of −0.62). That is, an increase in academic performance leads to a decrease in academic burnout. and decrease in academic performance leads to an increase in academic burnout [11]. Yang et al. also reported a negative relationship between academic burnout and educational performance [12]. In another study by Ghadampour, a negative and significant relationship was reported between academic burnout and academic performance (r = −0.17, P < 0.001) [8]. In this regard, in the study by Salmela reported that students with lower grade point averages (GPAs) experienced higher academic burnout [1]. Obtaining poor exam results due to various reasons may lead to emotional exhaustion and since the emergence of one of exhaustion dimensions triggers other dimensions, emotional exhaustion leads to cynicism, inefficiency and academic burnout in sequence. A burned out student cannot do his or her tasks well and eventually suffers academic failure.

    Table 2.  Correlation between academic burnout and the educational factors of the teacher.
    Educational factors
    Academic burnout Good teacher-student relationship The lecturer comment on the course The lecturer ability to communicate scientific contents Using up to date knowledge by lecturer Using teaching aid instruments by the lecturers Using diverse and new methods of teaching by the lecturers The lecturers' passion and attempt to teach the students Appropriate feedback by the students Using appropriate incentive and punitive mechanisms by the lecturers Easy access to the lecturers
    Spearman correlation coefficient −0.182 −0.089 −0.124 −0.173 −0.144 −0.089 −0.182 −0.150 −0.107 −0.177
    Significance level P < 0.0001 P < 0.042 P < 0.004 P < 0.0001 P < 0.0001 P < 0.040 P < 0.0001 P < 0.0001 P < 0.014 P < 0.0001

     | Show Table
    DownLoad: CSV
    Table 3.  Correlation between academic burnout and the educational factors in the field of educational facilities and environment.
    Educational factors
    Academic burnout Ease of access to library resources and books and publications Updated library resources, books and publications Ease of access to the internet and computer The suitability of the library conditions in terms of space, light, cooling and heating, etc. The suitability of the classrooms in terms of space, light, cooling and heating, etc. Sufficiency of transportation services for students Suitability of the campus dining services
    Spearman correlation coefficient 0.261 −0.210 −0.241 −0.166 −0.223 −0.171 −0.205
    Significance level P < 0.0001 P < 0.0001 P < 0.0001 P < 0.0001 P < 0.0001 P < 0.0001 P < 0.0001

     | Show Table
    DownLoad: CSV

    This study reported a statistically significant relationship between academic burnout and educational factors in the field of lecturer, which were consistent with the results of the study conducted by Neami, where a significant inverse relationship was reported between academic burnout (academic fatigue, academic unwillingness, and academic inefficiency) and quality of learning experiences (resources, content, learning flexibility and the quality of teacher-student relationships) [6]. In a study conducted by Hayati, a simple correlation was reported between academic burnout and the quality of learning experiences in the field of content (the quality of educational guidance and the value of the courses presented), learning flexibility (the chance to learn independently, the ability to choose different courses, and the existence of discussion in the classroom) and finally, the quality of formal and informal relations between lecturers and students (P < 0.05) [5]. In another study by Pour Atashi, a significant negative relationship was reported between academic burnout and teaching method of the lecturer and the presented content [13]. Regarding the relationship between learning and academic burnout it should be noted that the content refers to the worthiness and usefulness of presented courses. That is, the courses presented should be practical and have scientific implication for the student. Clearly, if the contents are repetitive, do not have real world implication, or the learners feel they cannot take advantage of the content or communicate the content to other contents, they become burned out. As a result, they will not do their best to learn the content which makes them susceptible for academic burnout.

    Regarding the role of teacher-student relationship and academic burnout, it should be noted that communication with lecturer is one of the most important resources for students. Students have close relationship with their lecturers during their study period and the quality of this relationship can deeply affect their emotions and attitudes. Two types of lecturer behaviors can play an important role in this regard. The first group is organizer behaviors. That is, regular and specific curricula, targeting and assigning tasks and assignments are one of the key areas that can play an important role in the academic achievements of students. The other group is supportive behaviors of the lecturers. Lecturers' sensitivity toward emotions and self-concept of the learners, confidential and constructive criticism, appreciating learners and empathy toward their problems, and supportive and friendly behaviors that make the learning environment pleasant can play an important role in reducing academic burnout. Sympathetic, supportive and friendly lecturers handle situations without excessive rigor, which will increase the cognitive and emotional success of learners and reduce the severity of academic burnout [9]. It is supposed that the lecturer factor in various aspects, including educational, incentive and punitive methods, which have also been assessed in the present study, will affect academic burnout. Therefore, the more teachers use appropriate teaching methods, the more students will learn and their academic burnout will decrease. To use appropriate incentive and punitive methods by the lecturers also leads students toward the right path of learning and inhibits academic burnout.

    Regarding the statistically significant relationship between academic burnout and educational environment and facilities, Hayati, reported a significant correlation between academic burnout and quality of learning experiences in four areas of resources, including library quality and computer site facilities [5]. furthermore, the findings of our study were consistent with the results of Neami et al., where a significant inverse relationship was reported between the quality of learning experiences (resources) and the dimensions of academic burnout (academic fatigue, academic unwillingness, and academic inefficiency) [6]. The findings of the study were also consistent with the findings of the study by Pour Atashi, where a significant negative relationship was reported between physical environment and academic burnout [13].

    To clarify the findings related to the relationship between academic burnout and educational factors in the field of educational environment and facilities, Neami (96) argues that lack of required resources to perform educational tasks paves the ground for academic burnout. That is, the student is influenced by the desires and requirements of education contents that require adequate resources. If the homework is excessive and the individuals do not have required resources, they will be exposed to stress and their abilities to complete the homework declines. Two of the models available to clarify this issue is requirements-control model (Dilong et al. 2004) [14] and the resources requirements model (Demrouti et al. 2001) [15]. In this research, the requirements refer to the academic requirements considered as a set of assignments and duties that students are required to undertake during the course of study. According to these models, a person will be exposed to academic burnout when he is unable to control and manage these requirements. One of the important ways to control and manage these requirements is to have required resources. In universities, one of the important resources that the students need to carry out their academic duties is libraries and computer sites. If they do not have adequate access to these resources, they will face more stress. The continuous stresses can pave the ground for academic burnout. Research shows that resources can reduce the relationship between requirements and academic burnout [16]. Therefore, a combination of high educational requirements and low resources lead to more academic burnout [17].

    The results of this study indicated a significant relationship between academic burnout and a number of educational factors. It can be said that appropriate resources and learning equipment including library resources and access to the Internet and computer improve students learning process and prevent academic failure and burnout. Given that the appropriate classrooms and library environment creates a favorable learning environment for students, which enables them to better focus on learning and thus reduce academic burnout.



    [1] Ahmed SF, Khalid M, Rashmi W, et al. (2017) Recent progress in solar thermal energy storage using nanomaterials. Renewable Sustainable Energy Rev 67: 450–460. doi: 10.1016/j.rser.2016.09.034
    [2] Kalogirou SA (2004) Solar thermal collectors and applications. Prog Energy Combust Sci 30: 231–295. doi: 10.1016/j.pecs.2004.02.001
    [3] Burke MJ, Stephens JC (2018) Political power and renewable energy futures: A critical review. Energy Res Soc Sci 35: 78–93. doi: 10.1016/j.erss.2017.10.018
    [4] Smil V (1991) General Energetics: Energy in the Biosphere and Civilization. 1st Eds., New York: Wiley.
    [5] Tian Y, Zhao CY (2013) A review of solar collectors and thermal energy storage in solar thermal applications. Appl Energy 104: 538–553. doi: 10.1016/j.apenergy.2012.11.051
    [6] Sarbu I, Dorca A (2019) Review on heat transfer analysis in thermal energy storage using latent heat storage systems and phase change materials. Int J Energy Res 43: 29–64. doi: 10.1002/er.4196
    [7] DeWinter F (1990) Solar Collectors, Energy Storage, and Materials. Massachusetts: The MIT press.
    [8] Bai Z, Liu Q, Gong L, et al. (2019) Application of a mid-/low-temperature solar thermochemical technology in the distributed energy system with cooling, heating and power production. Appl Energy 253: 113491. doi: 10.1016/j.apenergy.2019.113491
    [9] Zalba B, Marín JM, Cabeza LF, et al. (2003) Review on thermal energy storage with phase change: materials, heat transfer analysis and applications. Appl Therm Eng 23: 251–283. doi: 10.1016/S1359-4311(02)00192-8
    [10] Sarbu I, Sebarchievici C (2018) A comprehensive review of thermal energy storage. Sustainability 10: 191. doi: 10.3390/su10010191
    [11] Khartchenko NV, Kharchenko VM (2013) Advanced Energy Systems. 2 Eds., Florida: CRC Press.
    [12] Phelan P, Otanicar T, Taylor R, et al. (2013) Trends and opportunities in direct-absorption solar thermal collectors. J Therm Sci Eng Appl 5: 021003. doi: 10.1115/1.4023930
    [13] Martinopoulos G (2018) Life Cycle Assessment of solar energy conversion systems in energetic retrofitted buildings. J Building Eng 20: 256–263. doi: 10.1016/j.jobe.2018.07.027
    [14] Martinopoulos G, Tsalikis G (2018) Diffusion and adoption of solar energy conversion systems-the case of Greece. Energy 144: 800–807. doi: 10.1016/j.energy.2017.12.093
    [15] Hou Y, Vidu R, Stroeve P, et al. (2011) Solar energy storage methods. Ind Eng Chem Res 50: 8954–8964. doi: 10.1021/ie2003413
    [16] Pelaya U, Luoa L, Fana Y, et al. (2017) Thermal energy storage systems for concentrated solar power plants. Renewable Sustainable Energy Rev 79: 82–100. doi: 10.1016/j.rser.2017.03.139
    [17] Chen H, Cong TN, Yang W, et al. (2009). Progress in electrical energy storage system: a critical review. Prog Nat Sci 19: 291–312. doi: 10.1016/j.pnsc.2008.07.014
    [18] Zhao CY, Wu ZG (2011) Thermal property characterization of a low melting temperature ternary nitrate salt mixture for thermal energy storage systems. Sol Energy Mater Sol Cells 95: 3341–3346. doi: 10.1016/j.solmat.2011.07.029
    [19] Nazir H, Batool M, Osorio FJB, et al. (2019) Recent developments in phase change materials for energy storage applications: A review. Int J Heat Mass Transfer 129: 491–523. doi: 10.1016/j.ijheatmasstransfer.2018.09.126
    [20] Abedin AH, Rosen MA (2011) A critical review of thermochemical energy storage systems. Open Renewable Energy J 4: 42–46. doi: 10.2174/1876387101004010042
    [21] Farid MM, Khudhair AM, Razack SAK, et al. (2004) A review on phase change energy storage: materials and applications. Energy Convers Manage 45: 1597–1615. doi: 10.1016/j.enconman.2003.09.015
    [22] Cabeza LF (2014) Advances in Thermal Energy Storage Systems: Methods and Applications, Woodhead Publishing Series in Energy.
    [23] Gil A, Medrano M, Martorell I, et al. (2010) State of the art on high temperature thermal energy storage for power generation. part 1-concepts, materials and modellization. Renewable Sustainable Energy Rev 14: 31–55.
    [24] Wang Z, Yang W, Qiu F, et al. (2015) Solar water heating: From theory, application, marketing and research. Renewable Sustainable Energy Rev 41: 68–84. doi: 10.1016/j.rser.2014.08.026
    [25] Antoniadis CN, Martinopoulos G (2019) Optimization of a building integrated solar thermal system with seasonal storage using TRNSYS. Renewable Energy 137: 56–66. doi: 10.1016/j.renene.2018.03.074
    [26] Fisch MN, Guigas M, Dalenbäck JO (1998) A review of large-scale solar heating systems in Europe. Sol Energy 63: 355–366. doi: 10.1016/S0038-092X(98)00103-0
    [27] Kousksou T, Bruel P, Jamil A, et al. (2014) Energy storage: applications and challenges. Sol Energy Mater Sol Cells 120: 59–80. doi: 10.1016/j.solmat.2013.08.015
    [28] Vijayaraghavan K, Raja FD (2014) Design and development of green roof substrate to improve runoff water quality: plant growth experiments and adsorption. Water Res 63: 94–101. doi: 10.1016/j.watres.2014.06.012
    [29] Badran AA, Jubran BA (2001) Fuel oil heating by a trickle solar collector. Energy Convers Manage 42: 1637–1645. doi: 10.1016/S0196-8904(00)00163-1
    [30] Marchã J, Osório T, Pereira MC, et al. (2014) Development and test results of a calorimetric technique for solar thermal testing loops, enabling mass flow and cp measurements independent from fluid properties of the htf used. Energy Procedia 49: 2125–2134. doi: 10.1016/j.egypro.2014.03.225
    [31] Vijayaraghavan K, Yun YS (2008) Competition of Reactive red 4, Reactive orange 16 and Basic blue 3 during biosorption of Reactive blue 4 by polysulfone-immobilized Corynebacterium glutamicum. J Hazard Mater 153: 478–486. doi: 10.1016/j.jhazmat.2007.08.079
    [32] Liu M, Saman W, Bruno F, et al. (2012) Review on storage materials and thermal performance enhancement techniques for high temperature phase change thermal storage systems. Renewable Sustainable Energy Rev 16: 2118–2132. doi: 10.1016/j.rser.2012.01.020
    [33] Wang T, Mantha D, Reddy RG (2013) Novel low melting point quaternary eutectic system for solar thermal energy storage. Appl Energy 102: 1422–1429. doi: 10.1016/j.apenergy.2012.09.001
    [34] Cingarapu S, Singh D, Timofeeva EV, et al. (2015) Use of encapsulated zinc particles in a eutectic chloride salt to enhance thermal energy storage capacity for concentrated solar power. Renewable Energy 80: 508–516. doi: 10.1016/j.renene.2015.02.026
    [35] Umair MM, Zhang Y, Iqbal K, et al. (2019) Novel strategies and supporting materials applied to shape-stabilize organic phase change materials for thermal energy storage–A review. Appl Energy 235:846–873. doi: 10.1016/j.apenergy.2018.11.017
    [36] Andreu-Cabedo P, Mondragon R, Hernandez L, et al. (2014) Increment of specific heat capacity of solar salt with SiO2 nanoparticles. Nanoscale Res Lett 9: 582. doi: 10.1186/1556-276X-9-582
    [37] Seo J, Shin D (2014) Enhancement of specific heat of ternary nitrate (LiNO3-NaNO3-KNO3) salt by doping with SiO2 nanoparticles for solar thermal energy storage. Micro Nano Lett 9: 817–820. doi: 10.1049/mnl.2014.0407
    [38] Zhang G, Li J, Chen Y, et al. (2014) Encapsulation of copper-based phase change materials for high temperature thermal energy storage. Sol Energy Mater Sol Cells 128: 131–137. doi: 10.1016/j.solmat.2014.05.012
    [39] Hasnain SM (1998) Review on sustainable thermal energy storage technologies, part1: heat storage materials and techniques. Energy Convers Manage 39: 1127–1138.
    [40] Hänchen M, Brückner S, Steinfeld A, et al. (2011) High-temperature thermal storage using a packed bed of rocks–heat transfer analysis and experimental validation. Appl Therm Eng 31: 1798–1806. doi: 10.1016/j.applthermaleng.2010.10.034
    [41] King R, Burns AP (1981) Sensible Heat storage in Packed Beds. In: Proc. Intl. Conf. on Energy Storage, Brighton, UK, 231–245.
    [42] Martins M, Villalobos U, Delclos T, et al. (2015) New concentrating solar power facility for testing high temperature concrete thermal energy storage. Energy Procedia 75: 2144–2149. doi: 10.1016/j.egypro.2015.07.350
    [43] Schlipf D, Schicktanz P, Maier H, et al. (2015) Using sand and other small grained materials as heat storage medium in a packed bed HTTESS. Energy Procedia 69: 1029–1038. doi: 10.1016/j.egypro.2015.03.202
    [44] Chen X, Zhang Z, Qi C, et al. (2018) State of the art on the high-temperature thermochemical energy storage systems. Energy Convers Manage 177: 792–815. doi: 10.1016/j.enconman.2018.10.011
    [45] Wentworth WE, Chen E (1976) Simple thermal decomposition reactions for storage of solar thermal energy. Sol Energy 18: 205–214. doi: 10.1016/0038-092X(76)90019-0
    [46] Silakhori M, Jafarian M, Arjomandi M et al. (2019) Thermogravimetric analysis of Cu, Mn, Co, and Pb oxides for thermochemical energy storage. J Energy Storage 23: 138–147. doi: 10.1016/j.est.2019.03.008
    [47] Silakhori M, Jafarian M, Arjomandi M et al. (2017) Comparing the thermodynamic potential of alternative liquid metal oxides for the storage of solar thermal energy. Sol Energy 157: 251–258. doi: 10.1016/j.solener.2017.08.039
    [48] Tescari S, Agrafiotis C, Breuer S, et al. (2014) Thermochemical solar energy storage via redox oxides: materials and reactor/heat exchanger concepts. Energy Procedia 49: 1034 –1043. doi: 10.1016/j.egypro.2014.03.111
    [49] Xiao L, Wu S-Y, Li Y-R (2012) Advances in solar hydrogen production via two-step water-splitting thermochemical cycles based on metal redox reactions. Renewable Energy 41: 1–12. doi: 10.1016/j.renene.2011.11.023
    [50] Arunachalam S (2019) Latent heat storage: container geometry, enhancement techniques, and applications-a review. J Sol Energy Eng 141: 050801. doi: 10.1115/1.4043126
    [51] Padmaraju SAV, Viginesh M, Nallusamy N, et al. (2008) Comparitive study of sensible and latent heat storage systems integrated with solar water heating unit. Renewable Energies Power Qual J 1: 55–60. doi: 10.24084/repqj06.218
    [52] Martinopoulos G, Ikonomopoulos A, Tsilingiridis G (2016) Initial evaluation of a phase change solar collector for desalination applications. Desalination 399: 165–170. doi: 10.1016/j.desal.2016.09.009
    [53] Cárdenas B, León N (2013) High temperature latent heat thermal energy storage: phase change materials, design considerations and performance enhancement techniques. Renewable Sustainable Energy Rev 27: 724–737. doi: 10.1016/j.rser.2013.07.028
    [54] Zeinelabdein R, Omer S, Gan G (2018) Critical review of latent heat storage systems for free cooling in buildings. Renewable Sustainable Energy Rev 82: 2843–2868. doi: 10.1016/j.rser.2017.10.046
    [55] Singh H, Saini RP, Saini JS, et al. (2010) A review on packed bed solar energy storage systems. Renewable Sustainable Energy Rev 14: 1059–1069. doi: 10.1016/j.rser.2009.10.022
    [56] Su WG, Darkwa J, Kokogiannakis G, et al. (2015) Review of solid–liquid phase change materials and their encapsulation technologies. Renewable Sustainable Energy Rev 48: 373–391. doi: 10.1016/j.rser.2015.04.044
    [57] Mohamed SA, Al-Sulaimana FA, Ibrahim NI, et al. (2017) A review on current status and challenges of inorganic phase change materials for thermal energy storage systems. Renewable Sustainable Energy Rev 70: 1072–1089. doi: 10.1016/j.rser.2016.12.012
    [58] Xu B, Li PW, Chan C (2015) Application of phase change materials for thermal energy storage in concentrated solar thermal power plants: a review to recent developments. Appl Energy 160: 286–307. doi: 10.1016/j.apenergy.2015.09.016
    [59] Sharma RK, Ganesan P, Tyagi VV, et al. (2015) Developments in organic solid–liquid phase change materials and their applications in thermal energy storage. Energy Convers Manage 95: 193–228. doi: 10.1016/j.enconman.2015.01.084
    [60] Pielichowska K, Pielichowski K (2014) Phase change materials for thermal energy storage. Prog Mater Sci 65: 67–123. doi: 10.1016/j.pmatsci.2014.03.005
    [61] Al-Hinti I, Al-Ghandoor A, Maaly A, et al. (2010) Experimental investigation on the use of water-phase change material storage in conventional solar water heating systems. Energy Convers Manage 51: 1735–1740. doi: 10.1016/j.enconman.2009.08.038
    [62] Li B, Liu T, Hu L, et al. (2013) Fabrication and properties of microencapsulated paraffin@SiO2 phase change composite for thermal energy storage. ACS Sustainable Chem Eng 1: 374–380. doi: 10.1021/sc300082m
    [63] Chai LX, Wang XD, Wu DZ (2015) Development of bifunctional microencapsulated phase change materials with crystalline titanium dioxide shell for latent-heat storage and photocatalytic effectiveness. Appl Energy 138: 661−674.
    [64] Sathishkumar M, Mahadevan A, Vijayaraghavan K, et al. (2010) Green recovery of gold through biosorption, biocrystallization, and pyro-crystallization. Ind Eng Chem Res 49: 7129–7135. doi: 10.1021/ie100104j
    [65] Elias CN, Stathopoulos VN (2019) A comprehensive review of recent advances in materials aspects of phase change materials in thermal energy storage. Energy Procedia 161: 385–394. doi: 10.1016/j.egypro.2019.02.101
    [66] Paksoy H, Sahana N (2012) Thermally enhanced paraffin for solar applications. Energy Procedia 30: 350–352. doi: 10.1016/j.egypro.2012.11.041
    [67] Sari A, Karaipekli A (2007) Thermal conductivity and latent heat thermal energy storage characteristics of paraffin/expanded graphite composite as phase change material. Appl Therm Eng 27: 1271–1277. doi: 10.1016/j.applthermaleng.2006.11.004
    [68] Liu H, Wang X, Wu D, et al. (2017) Fabrication of graphene/TiO2/paraffin composite phase change materials for enhancement of solar energy efficiency in photocatalysis and latent heat storage. ACS Sustainable Chem Eng 5: 4906−4915.
    [69] Alva G, Liu L, Huang X, et al. (2017) Thermal energy storage materials and systems for solar energy applications. Renewable Sustainable Energy Rev 68: 693–706. doi: 10.1016/j.rser.2016.10.021
    [70] Sarier N, Onderb E (2012) Organic phase change materials and their textile applications: an overview. Thermochim Acta 540: 7–60. doi: 10.1016/j.tca.2012.04.013
    [71] Ong HR, Khan MR, Yousuf A, et al. (2015) Effect of waste rubber powder as filler for plywood application. Polish J Chem Technol 17: 41–47. doi: 10.1515/pjct-2015-0007
    [72] Chen C, Wang L, Huang Y (2008) Morphology and thermal properties of electrospun fatty acids/polyethylene terephthalate composite fibers as novel form-stable phase change materials. Sol Energy Mater Sol Cells 92: 1382–1387. doi: 10.1016/j.solmat.2008.05.013
    [73] Liu H, Awbi HB (2009) Performance of phase change material boards under natural convection. Build Environ 44:1788–1793. doi: 10.1016/j.buildenv.2008.12.002
    [74] Bruno F, Belusko M, Liu M, et al. (2015) Using solid-liquid phase change materials (PCMs) in thermal energy storage systems, In: Cabeza L.F. editor, Advances in Thermal Energy Storage Systems, Woodhead Publishing, 201–246.
    [75] Zhao T, Zheng M, Munis A, et al. (2019) Corrosion behaviours of typical metals in molten hydrate salt of Na2HPO4•12H2O–Na2SO4•10H2O for thermal energy storage. Corros Eng Sci Technol 54: 379–388. doi: 10.1080/1478422X.2019.1595296
    [76] Kong Q, Ma J, Che C, et al. (2009) Theoretical and experimental study of volumetric change rate during phase change process. Int J Energy Res 33: 513–525. doi: 10.1002/er.1498
    [77] Kenisarin MM (2010) High-temperature phase change materials for thermal energy storage. Renewable Sustainable Energy Rev 14: 955–970. doi: 10.1016/j.rser.2009.11.011
    [78] Kazemi Z, Mortazavi SM (2014) A new method of application of hydrated salts on textiles to achieve thermoregulating properties. Thermochim Acta 589: 56–62. doi: 10.1016/j.tca.2014.05.015
    [79] Ramirez BG, Glorieux C, Martinez ES, et al. (2014) Tuning of thermal properties of sodium acetate trihydrate by blending with polymer and silver nanoparticles. Appl Therm Eng 62: 838–844. doi: 10.1016/j.applthermaleng.2013.09.049
    [80] Hu P, Lu DJ, Fan XY, et al. (2011) Phase change performance of sodium acetate trihydrate with AlN nanoparticles and CMC. Sol Energy Mater Sol Cells 95: 2645–2649. doi: 10.1016/j.solmat.2011.05.025
    [81] Lu DJ, Hu P, Zhao BB, et al. (2012) Study on the performance of nanoparticles as nucleating agents for sodium acetate trihydrate. J Eng Thermophys 33: 1279–1282.
    [82] Lane GA, (1983) Solar heat storage: latent heat materials, Vol. I: Background and scientific principles.
    [83] Vijayaraghavan K, Sathishkumar M, Balasubramanian R (2011) Interaction of rare earth elements with a brown marine alga in multi-component solutions. Desalination 265: 54–59. doi: 10.1016/j.desal.2010.07.030
    [84] Senthilkumar R, Prasad DMR, Govindarajan L, et al. (2019) Green alga-mediated treatment process for removal of zinc from synthetic solution and industrial effluent. Environ Technol 40: 1262–1270. doi: 10.1080/09593330.2017.1420696
    [85] Park JJ, Butt DP, Beard CA, et al. (2000) Review of liquid metal corrosion issues for potential containment materials for liquid lead and lead–bismuth eutectic spallation targets as a neutron source. Nucl Eng Des 196: 315–325. doi: 10.1016/S0029-5493(99)00303-9
    [86] Regin AF, Solanki SC, Saini JS, et al. (2008) Heat transfer characteristics of thermal energy storage system using PCM capsules: a review. Renewable Sustainable Energy Rev 12: 2438–2458. doi: 10.1016/j.rser.2007.06.009
    [87] Sugo H, Kisi E, Cuskelly D, et al. (2013) Miscibility gap alloys with inverse microstructures and high thermal conductivity for high energy density thermal storage applications. Appl Therm Eng 51: 1345–1350. doi: 10.1016/j.applthermaleng.2012.11.029
    [88] Ma B, Li J, Xu Z, et al. (2014) Fe-shell/Cu-core encapsulated metallic phase change materials prepared by aerodynamic levitation method. Appl Energy 132: 568–574. doi: 10.1016/j.apenergy.2014.07.054
    [89] Murray JP (1999) Solar production of aluminium ore by direct reduction of ore to Al-Si alloy. Proceedings of ISES'99 Solar world congress, Jerusalem, Israel.
    [90] Kubota M, Yokoyama K, Watanabe F, et al. (2000) Heat releasing characteristics of CaO/CaCO3 reaction in a packed bed for high temperature heat storage and temperature up-grading. In: Proceedings of the 8th international conference on thermal energy storage (Terrastock 2000), Stuttgart, Germany.
    [91] Hahne E (1986) Thermal energy storage some view on some problems. Proceedings of the 8th international heat transfer conference, San Francisco, USA.
    [92] Shiizaki S, Nagashimga I, Iwata K, et al. (2000) Development of plate fin reactor for heat recovery system using methanol decomposition. Proceedings of the 8th international conference on thermal energy storage (Terrastock 2000), Stuttgart, Germany.
    [93] Steinfeld A, Sanders S, Palumbo R, et al. (1999) Design aspects of solar thermochemical engineering – a case study: two-step water splitting cycle using Fe3O4/FeO redox system. Sol Energy 65: 43–53. doi: 10.1016/S0038-092X(98)00092-9
  • This article has been cited by:

    1. Ryan Michael F. Oducado, Mary Kristine Q. Amboy, Ayesha C. Penuela, Ronnell D. Dela Rosa, Maria Teresa M. Fajardo, Dolly Rose F. Temelo, Instructors’ caring behaviors, burnout, satisfaction, and academic performance of nursing students in online education and the pandemic era, 2022, 9, 2544-8994, 431, 10.2478/fon-2022-0054
    2. Guoqing Zhao, Rongchi Zhao, Xiaomei Yan, Simone C. O. Conceição, Zhuo Cheng, Qingqing Peng, The effects of technostress, intolerance of uncertainty, and ICT competence on learning burnout during COVID-19: a moderated mediation examination, 2022, 0218-8791, 1, 10.1080/02188791.2022.2071835
    3. Maria Isabel Salaverria De Freitas, Estudio correlacional del síndrome Burnout Académico y el bienestar psicosocial en estudiantes universitarios en Costa Rica en el sistema público y privado, 2024, 7, 2215-4590, 36, 10.54376/psicoinnova.v7i2.196
  • Reader Comments
  • © 2019 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(9689) PDF downloads(2688) Cited by(52)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog