A review of photovoltaic water pumping system designing methods, control strategies and field performance
Artificial intelligence; Design; Numerical methods; Photovoltaic cells; Pumping plants; Pumps; Solar energy; Solar power generation; Artificial intelligent; Field performance; Incremental conductance; Load matching; Maximum Power Point Tracking algorithms; Photovoltaic systems; Photovoltaic water pu...
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2023
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my.uniten.dspace-233112023-05-29T14:39:22Z A review of photovoltaic water pumping system designing methods, control strategies and field performance Muhsen D.H. Khatib T. Nagi F. 56728928200 31767521400 56272534200 Artificial intelligence; Design; Numerical methods; Photovoltaic cells; Pumping plants; Pumps; Solar energy; Solar power generation; Artificial intelligent; Field performance; Incremental conductance; Load matching; Maximum Power Point Tracking algorithms; Photovoltaic systems; Photovoltaic water pumping; Water pumping systems; Maximum power point trackers Photovoltaic water pumping system (PVPS) is an important and promising application of solar energy systems especially in remote areas. In this review paper, research work on PVPS modeling, reliability, feasibility, field performance, design procedures and control strategies is analyzed and reported. In addition, technical challenges to this science are concluded in this review. According to the results, the numerical method is recommended for sizing PVPS. In the meanwhile, incremental conductance and artificial intelligent (AI) based maximum power point tracking algorithms are the most recommended control strategies for PVPS. On the other hand, According to reported PVPS performance, the average overall system's efficiency is about 3.4% with average annual productivity rate of 6580.611 m3/kWp. In general PVPS have a number of challenges related to design procedure, modeling method, control strategy, availability of data and site obstacles such as shadow effects. � 2016 Elsevier Ltd Final 2023-05-29T06:39:22Z 2023-05-29T06:39:22Z 2017 Review 10.1016/j.rser.2016.09.129 2-s2.0-84991202647 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991202647&doi=10.1016%2fj.rser.2016.09.129&partnerID=40&md5=5ad78a37b83331d75405486533ecf8a6 https://irepository.uniten.edu.my/handle/123456789/23311 68 70 86 Elsevier Ltd Scopus |
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| description |
Artificial intelligence; Design; Numerical methods; Photovoltaic cells; Pumping plants; Pumps; Solar energy; Solar power generation; Artificial intelligent; Field performance; Incremental conductance; Load matching; Maximum Power Point Tracking algorithms; Photovoltaic systems; Photovoltaic water pumping; Water pumping systems; Maximum power point trackers |
| author2 |
56728928200 |
| author_facet |
56728928200 Muhsen D.H. Khatib T. Nagi F. |
| format |
Review |
| author |
Muhsen D.H. Khatib T. Nagi F. |
| spellingShingle |
Muhsen D.H. Khatib T. Nagi F. A review of photovoltaic water pumping system designing methods, control strategies and field performance |
| author_sort |
Muhsen D.H. |
| title |
A review of photovoltaic water pumping system designing methods, control strategies and field performance |
| title_short |
A review of photovoltaic water pumping system designing methods, control strategies and field performance |
| title_full |
A review of photovoltaic water pumping system designing methods, control strategies and field performance |
| title_fullStr |
A review of photovoltaic water pumping system designing methods, control strategies and field performance |
| title_full_unstemmed |
A review of photovoltaic water pumping system designing methods, control strategies and field performance |
| title_sort |
review of photovoltaic water pumping system designing methods, control strategies and field performance |
| publisher |
Elsevier Ltd |
| publishDate |
2023 |
| _version_ |
1806428290593849344 |