Evaluation of electrical efficiency of photovoltaic thermal solar collector
In this study, machine learning methods of artificial neural networks (ANNs), least squares support vector machines (LSSVM), and neuro-fuzzy are used for advancing prediction models for thermal performance of a photovoltaic-thermal solar collector (PV/T). In the proposed models, the inlet temperatur...
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| Published in | Engineering applications of computational fluid mechanics Vol. 14; no. 1; pp. 545 - 565 |
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| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Hong Kong
Taylor & Francis
01.01.2020
Taylor & Francis Ltd Taylor & Francis Group |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1994-2060 1997-003X |
| DOI | 10.1080/19942060.2020.1734094 |
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| Abstract | In this study, machine learning methods of artificial neural networks (ANNs), least squares support vector machines (LSSVM), and neuro-fuzzy are used for advancing prediction models for thermal performance of a photovoltaic-thermal solar collector (PV/T). In the proposed models, the inlet temperature, flow rate, heat, solar radiation, and the sun heat have been considered as the input variables. Data set has been extracted through experimental measurements from a novel solar collector system. Different analyses are performed to examine the credibility of the introduced models and evaluate their performances. The proposed LSSVM model outperformed the ANFIS and ANNs models. LSSVM model is reported suitable when the laboratory measurements are costly and time-consuming, or achieving such values requires sophisticated interpretations. |
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| AbstractList | In this study, machine learning methods of artificial neural networks (ANNs), least squares support vector machines (LSSVM), and neuro-fuzzy are used for advancing prediction models for thermal performance of a photovoltaic-thermal solar collector (PV/T). In the proposed models, the inlet temperature, flow rate, heat, solar radiation, and the sun heat have been considered as the input variables. Data set has been extracted through experimental measurements from a novel solar collector system. Different analyses are performed to examine the credibility of the introduced models and evaluate their performances. The proposed LSSVM model outperformed the ANFIS and ANNs models. LSSVM model is reported suitable when the laboratory measurements are costly and time-consuming, or achieving such values requires sophisticated interpretations. |
| Author | Shamshirband, Shahaboddin Mohammadi-Khanaposhtani, Mohammad Baghban, Alireza Mosavi, Amir Kumar, Ravinder Ahmadi, Mohammad Hossein Sadeghzadeh, Milad Zamen, Mohammad |
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| Cites_doi | 10.1016/j.apenergy.2008.09.003 10.1016/j.rser.2016.12.004 10.1016/j.renene.2014.12.012 10.1175/1520-0450(1997)036<0531:CRMFPU>2.0.CO;2 10.1016/j.rser.2017.01.173 10.1016/J.SOLENER.2016.03.067 10.1016/j.rser.2015.09.043 10.1016/J.IJHEATMASSTRANSFER.2016.02.032 10.1016/j.rser.2017.03.044 10.1016/j.agrformet.2003.11.002 10.1080/19942060.2018.1526119 10.1080/10916466.2016.1176039 10.1016/J.CONBUILDMAT.2016.02.063 10.1016/j.rser.2016.09.078 10.1016/J.ENERGY.2017.04.077 10.1007/s10973-018-7916-1 10.1016/j.asej.2016.08.006 10.1016/J.RSER.2015.07.177 10.1016/j.energy.2006.11.010 10.1016/J.JHYDROL.2011.01.017 10.1007/s10973-019-08154-3 10.1002/ese3.239 10.1162/neco.1993.5.2.305 10.1142/5089 10.1080/19942060.2018.1448896 10.1016/j.solener.2011.01.007 10.1016/j.rser.2016.05.022 10.1016/J.COLDREGIONS.2015.12.006 10.3390/w9030186 10.1016/j.rser.2017.05.174 10.1016/j.rser.2013.04.014 10.2307/2528964 10.1016/j.eswa.2009.08.007 10.1126/science.aad1920 10.1016/j.solener.2011.05.017 10.1016/j.applthermaleng.2016.04.005 10.1016/j.molliq.2017.06.123 10.1016/j.eswa.2010.07.090 10.1016/j.solener.2013.08.042 10.1080/14680629.2016.1162732 10.1016/j.applthermaleng.2016.11.105 10.18280/mmep.050401 10.24842/1611/0018 10.1061/(ASCE)CR.1943-5495.0000051 10.1016/j.rser.2016.09.075 10.4324/9781315766416 10.1016/S0377-2217(01)00319-8 10.1016/j.jcou.2018.05.009 10.1080/19942060.2018.1512010 |
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| SubjectTerms | adaptive neuro-fuzzy inference system (ANFIS) Artificial neural networks Flow velocity Fuzzy logic hybrid machine learning model Inlet temperature least square support vector machine (LSSVM) Machine learning neural networks (NNs) Photovoltaic cells photovoltaic-thermal (PV/T) Prediction models Renewable energy Solar radiation Support vector machines |
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| Title | Evaluation of electrical efficiency of photovoltaic thermal solar collector |
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