Comparative study of photovoltaic thermal (PVT) integrated thermoelectric cooler (TEC) fluid collectors
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DOI: 10.1016/j.renene.2018.10.105
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- Gunasekar, N. & Mohanraj, M. & Velmurugan, V., 2015. "Artificial neural network modeling of a photovoltaic-thermal evaporator of solar assisted heat pumps," Energy, Elsevier, vol. 93(P1), pages 908-922.
- Szargut, Jan T, 2003. "Anthropogenic and natural exergy losses (exergy balance of the Earth’s surface and atmosphere)," Energy, Elsevier, vol. 28(11), pages 1047-1054.
- Herrando, María & Markides, Christos N. & Hellgardt, Klaus, 2014. "A UK-based assessment of hybrid PV and solar-thermal systems for domestic heating and power: System performance," Applied Energy, Elsevier, vol. 122(C), pages 288-309.
- Almonacid, Florencia & Fernandez, Eduardo F. & Mellit, Adel & Kalogirou, Soteris, 2017. "Review of techniques based on artificial neural networks for the electrical characterization of concentrator photovoltaic technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 938-953.
- Huang, Chao & Bensoussan, Alain & Edesess, Michael & Tsui, Kwok L., 2016. "Improvement in artificial neural network-based estimation of grid connected photovoltaic power output," Renewable Energy, Elsevier, vol. 97(C), pages 838-848.
- Michael, Jee Joe & Iqbal, S. Mohamed & Iniyan, S. & Goic, Ranko, 2018. "Enhanced electrical performance in a solar photovoltaic module using V-trough concentrators," Energy, Elsevier, vol. 148(C), pages 605-613.
- Mellit, A. & Benghanem, M. & Kalogirou, S.A., 2007. "Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure," Renewable Energy, Elsevier, vol. 32(2), pages 285-313.
- Yazdanifard, Farideh & Ameri, Mehran & Ebrahimnia-Bajestan, Ehsan, 2017. "Performance of nanofluid-based photovoltaic/thermal systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 323-352.
- Huen, Priscilla & Daoud, Walid A., 2017. "Advances in hybrid solar photovoltaic and thermoelectric generators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1295-1302.
- Rezania, A. & Rosendahl, L.A., 2017. "Feasibility and parametric evaluation of hybrid concentrated photovoltaic-thermoelectric system," Applied Energy, Elsevier, vol. 187(C), pages 380-389.
- Hussain, F. & Othman, M.Y.H & Sopian, K. & Yatim, B. & Ruslan, H. & Othman, H., 2013. "Design development and performance evaluation of photovoltaic/thermal (PV/T) air base solar collector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 431-441.
- Leva, S. & Dolara, A. & Grimaccia, F. & Mussetta, M. & Ogliari, E., 2017. "Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 88-100.
- Amrouche, Badia & Le Pivert, Xavier, 2014. "Artificial neural network based daily local forecasting for global solar radiation," Applied Energy, Elsevier, vol. 130(C), pages 333-341.
- Das, Dudul & Kalita, Pankaj & Roy, Omkar, 2018. "Flat plate hybrid photovoltaic- thermal (PV/T) system: A review on design and development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 84(C), pages 111-130.
- Yadav, Amit Kumar & Chandel, S.S., 2017. "Identification of relevant input variables for prediction of 1-minute time-step photovoltaic module power using Artificial Neural Network and Multiple Linear Regression Models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 955-969.
- Ghritlahre, Harish Kumar & Prasad, Radha Krishna, 2018. "Application of ANN technique to predict the performance of solar collector systems - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 84(C), pages 75-88.
- Sathe, Tushar M. & Dhoble, A.S., 2017. "A review on recent advancements in photovoltaic thermal techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 645-672.
- Tiwari, G.N. & Mishra, R.K. & Solanki, S.C., 2011. "Photovoltaic modules and their applications: A review on thermal modelling," Applied Energy, Elsevier, vol. 88(7), pages 2287-2304, July.
- Chine, W. & Mellit, A. & Lughi, V. & Malek, A. & Sulligoi, G. & Massi Pavan, A., 2016. "A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks," Renewable Energy, Elsevier, vol. 90(C), pages 501-512.
- Vaz, A.G.R. & Elsinga, B. & van Sark, W.G.J.H.M. & Brito, M.C., 2016. "An artificial neural network to assess the impact of neighbouring photovoltaic systems in power forecasting in Utrecht, the Netherlands," Renewable Energy, Elsevier, vol. 85(C), pages 631-641.
- Mohsenzadeh, Milad & Shafii, M.B. & Jafari mosleh, H., 2017. "A novel concentrating photovoltaic/thermal solar system combined with thermoelectric module in an integrated design," Renewable Energy, Elsevier, vol. 113(C), pages 822-834.
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- Mohammadpour, Javad & Salehi, Fatemeh & Sheikholeslami, Mohsen & Lee, Ann, 2022. "A computational study on nanofluid impingement jets in thermal management of photovoltaic panel," Renewable Energy, Elsevier, vol. 189(C), pages 970-982.
- Cai, Yang & Wang, Wei-Wei & Liu, Cheng-Wei & Ding, Wen-Tao & Liu, Di & Zhao, Fu-Yun, 2020. "Performance evaluation of a thermoelectric ventilation system driven by the concentrated photovoltaic thermoelectric generators for green building operations," Renewable Energy, Elsevier, vol. 147(P1), pages 1565-1583.
- Maadi, Seyed Reza & Navegi, Ali & Solomin, Evgeny & Ahn, Ho Seon & Wongwises, Somchai & Mahian, Omid, 2021. "Performance improvement of a photovoltaic-thermal system using a wavy-strip insert with and without nanofluid," Energy, Elsevier, vol. 234(C).
- Ruoping, Yan & Xiaohui, Yu & Fuwei, Lu & Huajun, Wang, 2020. "Study of operation performance for a solar photovoltaic system assisted cooling by ground heat exchangers in arid climate, China," Renewable Energy, Elsevier, vol. 155(C), pages 102-110.
- Lamnatou, Chr. & Vaillon, R. & Parola, S. & Chemisana, D., 2021. "Photovoltaic/thermal systems based on concentrating and non-concentrating technologies: Working fluids at low, medium and high temperatures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
- Menon, Govind S. & Murali, S. & Elias, Jacob & Aniesrani Delfiya, D.S. & Alfiya, P.V. & Samuel, Manoj P., 2022. "Experimental investigations on unglazed photovoltaic-thermal (PVT) system using water and nanofluid cooling medium," Renewable Energy, Elsevier, vol. 188(C), pages 986-996.
- Salari, Ali & Shakibi, Hamid & Soleimanzade, Mohammad Amin & Sadrzadeh, Mohtada & Hakkaki-Fard, Ali, 2024. "Application of machine learning in evaluating and optimizing the hydrogen production performance of a solar-based electrolyzer system," Renewable Energy, Elsevier, vol. 220(C).
- Zaite, Abdelkabir & Belouaggadia, Naoual & Abid, Cherifa & Kaiss, Ahmed & Imghoure, Oumaima, 2024. "Performance enhancement of a photovoltaic-thermal thermoelectric collector using night radiative cooling," Applied Energy, Elsevier, vol. 364(C).
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Keywords
Solar thermoelectric cooler; Modelling; Artificial neural network; Photovoltaic thermal; Solar energy;All these keywords.
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