22 June 2019 Optimizing the setup of a photovoltaic pumping system for irrigation considering different crop water requirements
Sebastian Ehrmann, Lothar Fickert, Reinhard Nolz
Author Affiliations +
Abstract
In Egypt’s remote areas, photovoltaic (PV) systems appear to be a promising technology to substitute diesel generators for water pumping in irrigation systems. We aim to minimize the installed PV capacity and investment costs by optimizing azimuth and tilt angles of the PV panels and to assess the complicity with pressure and water requirements. For this purpose, a numerical algorithm has been developed for a PV-driven drip irrigation system without a water storage tank in the Bahariya Oasis, Egypt. Crop water demand is considered by 7.8 ha plots planted with potato, tomato, and date palm. Nominal water flow rate is 86, 102, and 128  m3 h  −  1. For 128  m3 h  −  1, the optimization results in tilt angles for south orientation in the range of 40 deg to 50 deg, 10 deg to 20 deg, and 0 deg to 5 deg for potato, tomato, and date palm plots, respectively. In addition, for tomato and date palm plots with 86 and 86  /  102  m3 h  −  1, respectively, an east–west orientation with tilt angles of 55 deg to 60 deg is optimal. In this case, the system operates mainly in the self-compensated pressure range of the drip lines, which is assumed to guarantee proper water distribution across the field. However, the required PV peak power is large compared to the system settings with larger nominal water flow rates.
© 2019 Society of Photo-Optical Instrumentation Engineers (SPIE) 1947-7988/2019/$28.00 © 2019 SPIE
Sebastian Ehrmann, Lothar Fickert, and Reinhard Nolz "Optimizing the setup of a photovoltaic pumping system for irrigation considering different crop water requirements," Journal of Photonics for Energy 9(4), 043104 (22 June 2019). https://doi.org/10.1117/1.JPE.9.043104
Received: 28 February 2019; Accepted: 5 June 2019; Published: 22 June 2019
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Cited by 3 scholarly publications.
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KEYWORDS
Photovoltaics

Solar cells

Solar energy

Head

Nano opto mechanical systems

Solar radiation

Algorithm development

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