[1] Kasaeian A, Sharifi S, Yan WM. Novel achievements in the development of solar ponds: A review. Solar Energy 2018;174:189–206. https://doi.org/10.1016/j.solener.2018.09.010.
[2] Bernad F, Casas S, Gibert O, Akbarzadeh A, Cortina JL, Valderrama C. Salinity gradient solar pond: Validation and simulation model. Solar Energy 2013;98:366–74. https://doi.org/10.1016/j.solener.2013.10.004.
[3] Tawalbeh M, Javed RMN, Al-Othman A, Almomani F. Salinity gradient solar ponds hybrid systems for power generation and water desalination. Energy Convers Manag 2023;289:117180. https://doi.org/10.1016/J.ENCONMAN.2023.117180.
[4] Khalilian M. Assessment of the overall energy and exergy efficiencies of the salinity gradient solar pond with shading effect. Solar Energy 2017;158:311–20. https://doi.org/10.1016/j.solener.2017.09.059.
[5] El Mansouri A, Hasnaoui M, Amahmid A, Dahani Y. Transient theoretical model for the assessment of three heat exchanger designs in a large-scale salt gradient solar pond: Energy and exergy analysis. Energy Convers Manag 2018;167:45–62. https://doi.org/10.1016/j.enconman.2018.04.087.
[6] Babaei HR, Khoshvaght-Aliabadi M, Mazloumi SH. Analysis of serpentine coil with alternating flattened axis: An insight into performance enhancement of solar ponds. Solar Energy 2021;217:292–307. https://doi.org/10.1016/j.solener.2021.02.017.
[7] Dehghan AA, Movahedi A, Mazidi M. Experimental investigation of energy and exergy performance of square and circular solar ponds. Solar Energy 2013;97:273–84. https://doi.org/10.1016/j.solener.2013.08.013.
[8] Njoku HO, Agashi BE, Onyegegbu SO. A numerical study to predict the energy and exergy performances of a salinity gradient solar pond with thermal extraction. Solar Energy 2017;157:744–61. https://doi.org/10.1016/j.solener.2017.08.079.
[9] Faqeha H, Bawahab M, Vermont D, Date A, Akbarzadeh A. Setting up salinity gradient in an experimental solar pond (SGSP). Energy Procedia, vol. 156, Elsevier Ltd; 2019, p. 115–21. https://doi.org/10.1016/j.egypro.2018.11.114.
[10] Ziapour BM, Saadat M, Palideh V, Afzal S. Power generation enhancement in a salinity-gradient solar pond power plant using thermoelectric generator. Energy Convers Manag 2017;136:283–93. https://doi.org/10.1016/J.ENCONMAN.2017.01.031.
[11] Damarseckin S, Atiz A, Karakilcik M. Solar pond integrated with parabolic trough solar collector for producing electricity and hydrogen. Int J Hydrogen Energy 2024;52:115–26. https://doi.org/10.1016/J.IJHYDENE.2023.02.087.
[12] Musharavati F, Khanmohammadi S, Nondy J, Gogoi TK. Proposal of a new low-temperature thermodynamic cycle : 3E analysis and optimization of a solar pond integrated with fuel cell and thermoelectric generator. J Clean Prod 2022;331:129908. https://doi.org/10.1016/j.jclepro.2021.129908.
[13] Zeynali A, Akbari A, Khalilian M. Investigation of the performance of modified organic Rankine cycles (ORCs) and modified trilateral flash cycles (TFCs) assisted by a solar pond. Solar Energy 2019;182:361–81. https://doi.org/10.1016/j.solener.2019.03.001.
[14] Mosaffa AH, Farshi LG. Thermodynamic feasibility evaluation of an innovative salinity gradient solar ponds-based ORC using a zeotropic mixture as working fluid and LNG cold energy. Appl Therm Eng 2021;186:116488. https://doi.org/10.1016/j.applthermaleng.2020.116488.
[15] Masoud Parsa S, Majidniya M, Alawee WH, Dhahad HA, Muhammad Ali H, Afrand M, et al. Thermodynamic, economic, and sensitivity analysis of salt gradient solar pond (SGSP) integrated with a low-temperature multi effect desalination (MED): Case study, Iran. Sustainable Energy Technologies and Assessments 2021;47:101478. https://doi.org/10.1016/J.SETA.2021.101478.
[16] Manzoor K, Khan SJ, Jamal Y, Shahzad MA. Heat extraction and brine management from salinity gradient solar pond and membrane distillation. Chemical Engineering Research and Design 2017;118:226–37. https://doi.org/10.1016/J.CHERD.2016.12.017.
[17] El Mansouri A, Hasnaoui M, Amahmid A, Hasnaoui S. Feasibility analysis of reverse osmosis desalination driven by a solar pond in Mediterranean and semi-arid climates. Energy Convers Manag 2020;221:113190. https://doi.org/10.1016/J.ENCONMAN.2020.113190.
[18] Li J, Dhahad HA, Anqi AE, Rajhi AA. Thermo-economic investigation on the hydrogen production through the stored solar energy in a salinity gradient solar pond: A comparative study by employing APC and ORC with zeotropic mixture. Int J Hydrogen Energy 2022;47:7600–23. https://doi.org/10.1016/J.IJHYDENE.2021.12.102.
[19] Zoghi M, Hosseinzadeh N, Gharaie S, Zare A. Energy and exergy-economic performance comparison of wind, solar pond, and ocean thermal energy conversion systems for green hydrogen production. Int J Hydrogen Energy 2024. https://doi.org/10.1016/J.IJHYDENE.2024.06.183.
[20] Nondy J, Gogoi TK. Exergoeconomic investigation and multi-objective optimization of different ORC configurations for waste heat recovery: A comparative study. Energy Convers Manag 2021;245:114593. https://doi.org/10.1016/J.ENCONMAN.2021.114593.
[21] Ziapour BM, Shokrnia M, Naseri M. Comparatively study between single-phase and two-phase modes of energy extraction in a salinity-gradient solar pond power plant. Energy 2016;111:126–36. https://doi.org/10.1016/j.energy.2016.05.114.
[22] Rostamzadeh H, Nourani P. Investigating potential benefits of a salinity gradient solar pond for ejector refrigeration cycle coupled with a thermoelectric generator. Energy 2019;172:675–90. https://doi.org/10.1016/j.energy.2019.01.167.
[23] Anvari S, Jafarmadar S, Khalilarya S. Proposal of a combined heat and power plant hybridized with regeneration organic Rankine cycle: Energy-Exergy evaluation. Energy Convers Manag 2016;122:357–65. https://doi.org/10.1016/j.enconman.2016.06.002.
[24] Aliahmadi M, Moosavi A, Sadrhosseini H. Multi-objective optimization of regenerative ORC system integrated with thermoelectric generators for low-temperature waste heat recovery. Energy Reports 2021;7:300–13. https://doi.org/10.1016/j.egyr.2020.12.035.
[25] Guo Q, Khanmohammadi S. Comparison of exergy and exergy economic evaluation of different geothermal cogeneration systems for optimal waste energy recovery. Chemosphere 2023;339:139586. https://doi.org/10.1016/J.CHEMOSPHERE.2023.139586.
[26] Nondy J. 4E analyses of a micro-CCHP system with a polymer exchange membrane fuel cell and an absorption cooling system in summer and winter modes. Int J Hydrogen Energy 2024;52:886–904. https://doi.org/10.1016/J.IJHYDENE.2023.06.220.
[27] Goswami A, Gogoi TK. Design of components of a steam power plant and its exergoeconomic performance analysis. Thermal Science and Engineering Progress 2024;47:102276. https://doi.org/10.1016/J.TSEP.2023.102276.
[28] Valero A, Serra L, Uche J. Fundamentals of exergy cost accounting and thermoeconomics. Part II: Applications. Journal of Energy Resources Technology, Transactions of the ASME 2006;128:9–15. https://doi.org/10.1115/1.2134731.
[29] Bejan, Adrian, George Tsatsaronis and MJMoran. Thermal design and optimization. New York: John Wiley & Sons; 1995.
[30] Nondy J, Gogoi TK. A comparative study of metaheuristic techniques for the thermoenvironomic optimization of a gas turbine-based benchmark combined heat and power system. J Energy Resour Technol 2020;143:062104. https://doi.org/10.1115/1.4048534.
[31] Mehrpooya M, Sharifzadeh MMM, Zonouz MJ, Rosen MA. Cost and economic potential analysis of a cascading power cycle with liquefied natural gas regasification. Energy Convers Manag 2018;156:68–83. https://doi.org/10.1016/J.ENCONMAN.2017.10.100.
[32] Khanmohammadi S, Azimian AR. Exergoeconomic Evaluation of a Two-Pressure Level Fired Combined-Cycle Power Plant. Journal of Energy Engineering 2015;141:04014014. https://doi.org/10.1061/(asce)ey.1943-7897.0000152.
[33] Mehrpooya M, Ansarinasab H, Moftakhari Sharifzadeh MM, Rosen MA. Process development and exergy cost sensitivity analysis of a hybrid molten carbonate fuel cell power plant and carbon dioxide capturing process. J Power Sources 2017;364:299–315. https://doi.org/10.1016/J.JPOWSOUR.2017.08.024.
[34] Zarei A, Akhavan S, Rabiee MB, Elahi S. Energy, exergy and economic analysis of a novel solar driven CCHP system powered by organic Rankine cycle and photovoltaic thermal collector. Appl Therm Eng 2021;194:117091. https://doi.org/10.1016/j.applthermaleng.2021.117091.
[35] Esmaeilion F, Soltani M, Hoseinzadeh S, Sohani A, Nathwani J. Benefits of an innovative polygeneration system integrated with salinity gradient solar pond and desalination unit. Desalination 2023;564:116803. https://doi.org/10.1016/J.DESAL.2023.116803.
[36] Bellos E, Pavlovic S, Stefanovic V, Tzivanidis C, Nakomcic-Smaradgakis BB. Parametric analysis and yearly performance of a trigeneration system driven by solar-dish collectors. Int J Energy Res 2019;43:1534–46. https://doi.org/10.1002/ER.4380.
[37] Habibollahzade A, Houshfar E, Ashjaee M, Gholamian E, Behzadi A. Enhanced performance and reduced payback period of a low grade geothermal-based ORC through employing two TEGs. Energy Equipment and Systems 2019;7:23–39. https://doi.org/10.22059/EES.2019.34611.
[38] Deb K. Multi-objective optimization. In: Burke E, Kendall G, editors. Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, Second Edition, Springer, Boston, MA.; 2014, p. 403–50. https://doi.org/10.1007/978-1-4614-6940-7_15.
[39] Dincer I, Rosen MA, Ahmadi P. Optimization of Energy Systems. Chichester, UK: John Wiley & Sons, Ltd; 2017. https://doi.org/10.1002/9781118894484.
[40] Anvari S, Taghavifar H, Parvishi A. Thermo- economical consideration of Regenerative organic Rankine cycle coupling with the absorption chiller systems incorporated in the trigeneration system. Energy Convers Manag 2017;148:317–29. https://doi.org/10.1016/j.enconman.2017.05.077.
[41] Nondy J, Gogoi TK. A Comparative Study of Metaheuristic Techniques for the Thermoenvironomic Optimization of a Gas Turbine-Based Benchmark Combined Heat and Power System. J Energy Resour Technol 2020;143:062104. https://doi.org/10.1115/1.4048534.
[42] Heidarnejad P, Genceli H, Asker M, Khanmohammadi S. A comprehensive approach for optimizing a biomass assisted geothermal power plant with freshwater production: Techno-economic and environmental evaluation. Energy Convers Manag 2020;226:113514. https://doi.org/10.1016/j.enconman.2020.113514.
[43] Çelikbilek Y, Tüysüz F. An in-depth review of theory of the TOPSIS method: An experimental analysis. Journal of Management Analytics 2020;7:281–300. https://doi.org/10.1080/23270012.2020.1748528.
[44] Alao MA, Ayodele TR, Ogunjuyigbe ASO, Popoola OM. Multi-criteria decision based waste to energy technology selection using entropy-weighted TOPSIS technique: The case study of Lagos, Nigeria. Energy 2020;201:117675. https://doi.org/10.1016/j.energy.2020.117675.
[45] Nondy J, Gogoi TK. Exergoeconomic investigation and multi-objective optimization of different ORC configurations for waste heat recovery: A comparative study. Energy Convers Manag 2021;245:114593. https://doi.org/10.1016/J.ENCONMAN.2021.114593.
[46] Jingwen Huang. Combining entropy weight and TOPSIS method for information system selection. 2008 IEEE Conference on Cybernetics and Intelligent Systems, Chengdu, China: IEEE; 2008, p. 1281–4. https://doi.org/10.1109/ICCIS.2008.4670971.
[47] Tsilingiris PT. Computer simulation modelling, thermal performance and design optimisation for solar ponds in Greece. Solar and Wind Technology 1988;5:645–52. https://doi.org/10.1016/0741-983X(88)90062-8.
[48] Ziapour BM, Shokrnia M, Naseri M. Comparatively study between single-phase and two-phase modes of energy extraction in a salinity-gradient solar pond power plant. Energy 2016;111:126–36. https://doi.org/10.1016/J.ENERGY.2016.05.114.
[49] Safarian S, Aramoun F. Energy and exergy assessments of modified Organic Rankine Cycles (ORCs). Energy Reports 2015;1:1–7. https://doi.org/10.1016/j.egyr.2014.10.003.
[50] Safarian S, Aramoun F. Energy and exergy assessments of modified Organic Rankine Cycles (ORCs). Energy Reports 2015;1:1–7. https://doi.org/10.1016/j.egyr.2014.10.003.
