Photovoltaic Electrification and Water Pumping Using the Concepts of Water Shortage Probability and Loss of Power Supply Probability: A Case Study

Misagh Irandoostshahrestani () and Daniel R. Rousse
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Misagh Irandoostshahrestani: Industrial Research Group in Technologies of Energy and Energy Efficiency (t3e), École de Technologie Supérieure (ÉTS), University of Quebec, Montreal, QC H3C 1K3, Canada
Daniel R. Rousse: Industrial Research Group in Technologies of Energy and Energy Efficiency (t3e), École de Technologie Supérieure (ÉTS), University of Quebec, Montreal, QC H3C 1K3, Canada

Energies, 2022, vol. 16, issue 1, 1-23

Abstract: In this paper, a techno-economic investigation of a small-scale solar water pumping system combined with power generation is conducted numerically. Irrigation and power production for a typical small-size citrus farm located in southern Iran is simulated. The system consists of monocrystalline photovoltaic panels (CS3K-305MS, 305 W), absorbent glass material batteries (8A31DT-DEKA, 104 Wh), inverters (SMA Sunny Boy 2.0, 2000 W), and a pumping storage system. The key concepts of water shortage probability (WSP) and loss of power supply probability (LPSP) are used in conjunction with users’ tolerances and sizing of the system. A genuine MATLAB code was developed and validated before the simulations. A specific electricity consumption pattern for a rural home and a variable irrigation water profile were considered. The main objective of the study is to size a system that provides both electricity for domestic use of a home as well as the energy required for running the irrigation pumps with respect to investment cost, LCOE, WSP, and LPSP. The main findings of the research are that LPSP and WSP threshold tolerances can have a preponderant effect on the cost and sizing of the system. Interestingly, results reveal that there is a minimum variation of the capital expenditure (CAPEX) versus the number of PV panels. For the optimal configuration, the study indicates that shifting from an LPSP of 0% to 3% (or about ten days of potential yearly shortage) makes the LCOE drop by about 55%, while the WSP decreases by about 36%.

Keywords: PV-powered system; electrification; water pumping; water shortage probability; loss of power supply probability; battery storage; Irrigation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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