| Issue |
EPJ Web Conf.
Volume 372, 2026
Advanced Power Systems (APS 2026)
|
|
|---|---|---|
| Article Number | 02010 | |
| Number of page(s) | 7 | |
| Section | Sustainable, Renewable and Future Energy Systems | |
| DOI | https://doi.org/10.1051/epjconf/202637202010 | |
| Published online | 11 June 2026 | |
https://doi.org/10.1051/epjconf/202637202010
Modelling and simulation of a photovoltaic pumping system with hydraulic storage and energy recovery
Technical University of Moldova, Faculty of Energetics and Electrical Engineering, Department of Electrical Engineering, Chișinău, Republic of Moldova
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 11 June 2026
Abstract
This paper presents the development of a discrete-time integrated model of a photovoltaic- powered water pumping system with hydraulic storage and auxiliary energy recovery. The proposed framework couples electrical power balance with hydraulic feasibility constraints in a modular Simulink environment. The system includes a photovoltaic generator, a pump with minimum operating threshold and power limits, a geometrically realistic two-cylinder storage tank, an irrigation subsystem with minimum pressure requirement, and a micro-turbine for auxiliary energy recovery during gravitational discharge. The model enables simultaneous evaluation of PV utilization, tank dynamics, irrigation duration, energy deficit, and curtailment. Simulation results demonstrate the buffering effect of hydraulic storage between variable solar production and irrigation demand. The automatic irrigation stop logic ensures physically consistent operation based on delivered volume, tank depletion, and pressure constraints. The auxiliary micro-turbine contributes measurable energy recovery during irrigation events, reducing net energy deficit and improving system autonomy. The proposed modelling approach provides a practical tool for sizing and scenario analysis of PV–pumping–storage irrigation systems and supports optimization of renewable energy utilization in agricultural applications.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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