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Assessment of factors influencing the sustainable performance of photovoltaic water pumping systems

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  • Hadwan, Morshed
  • Alkholidi, Abdulsalam

Abstract

In Yemen and in similar least developed countries (LDC), irrigation farming is a living principal in rural areas. Nowadays, Optimally Designed Photovoltaic Water Pumping Systems (PVWPS) are not only the most economic and environmentally adequate alternative to conventional sources but also the most economic feasible application of PV systems. However, the performance of PVWPS is a function of environmental conditions, manufacturing technology, design, and utilization. Evaluation of a sample of practically existing PVWPS in Yemen and similar LDC revealed that the performance of 60% of examined cases will decline at some time in the future. In addressing this, current study provides a comprehensive review and assessment of several factors that influence the performance of PVWPS such as: Solar Spectral Variation, Air Mass (AM), Angle of Incidence (AoI), PV cell temperature, soiling, shading, mismatch, degrading of PV modules, falling of bore-well depth, etc. This work aims to support the sustainable performance and a wide utilization of PVWPS. It will, also, benefits PVWPS researchers and practical designers, and contribute to the development of the socio-economic conditions of rural areas in LDC.

Suggested Citation

  • Hadwan, Morshed & Alkholidi, Abdulsalam, 2018. "Assessment of factors influencing the sustainable performance of photovoltaic water pumping systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 307-318.
  • Handle: RePEc:eee:rensus:v:92:y:2018:i:c:p:307-318
    DOI: 10.1016/j.rser.2018.04.092
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    Cited by:

    1. Zhao, Bin & Ren, Yi & Gao, Diankui & Xu, Lizhi, 2019. "Performance ratio prediction of photovoltaic pumping system based on grey clustering and second curvelet neural network," Energy, Elsevier, vol. 171(C), pages 360-371.
    2. Arias-Rosales, Andrés & LeDuc, Philip R., 2023. "Urban solar harvesting: The importance of diffuse shadows in complex environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    3. Miqdam T. Chaichan & Hussein A. Kazem & Ali H. A. Al-Waeli & Kamaruzzaman Sopian & Mohammed A. Fayad & Wissam H. Alawee & Hayder A. Dhahad & Wan Nor Roslam Wan Isahak & Ahmed A. Al-Amiery, 2023. "Sand and Dust Storms’ Impact on the Efficiency of the Photovoltaic Modules Installed in Baghdad: A Review Study with an Empirical Investigation," Energies, MDPI, vol. 16(9), pages 1-25, May.
    4. Naval, Natalia & Yusta, Jose M., 2022. "Comparative assessment of different solar tracking systems in the optimal management of PV-operated pumping stations," Renewable Energy, Elsevier, vol. 200(C), pages 931-941.
    5. Arias-Rosales, Andrés & LeDuc, Philip R., 2022. "Shadow modeling in urban environments for solar harvesting devices with freely defined positions and orientations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).

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