The Water Lifting Performance of a Photovoltaic Sprinkler Irrigation System Regulated by Solar-Coupled Compressed-Air Energy Storage

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Authors: Xiaoqing Zhong, Maosheng Ge, Zhengwen Tang, Pute Wu, Xin Hui, Qianwen Zhang, Qingyan Zhang, Khusen Sh. Gafforov
Cited by: 0
References: 40

Abstract

Solar-driven irrigation, a promising clean technology for agricultural water conservation, is constrained by mismatched photovoltaic (PV) pump outflow and irrigation demand, alongside unstable PV output. While compressed-air energy storage (CAES) shows mitigation potential, existing studies lack systematic explorations of pump water-lifting characteristics and supply capacity under coupled meteorological and air pressure effects, limiting its practical promotion. This study focuses on a solar-coupled compressed-air energy storage regulated sprinkler irrigation system (CAES-SPSI). Integrating experimental and theoretical methods, it establishes dynamic flow models for three DC diaphragm pumps considering combined PV output and outlet back pressure, introduces pressure loss and drop coefficients to construct a nozzle pressure dynamic model via calibration and iteration, and conducts a 1-hectare corn field case study. The results indicate the following: pump flow increases with PV power and decreases with outlet pressure (model deviation < 9.24%); nozzle pressure in pulse spraying shows logarithmic decline; CAES-SPSI operates 10 h/d, with hourly water-lifting capacity of 0.317–1.01 m3/h and daily cumulation of 6.71 m3; and the low-intensity and long-duration mode extends irrigation time, maintaining total volume and optimal soil moisture. This study innovatively incorporates dynamic air pressure potential energy into meteorological-PV coupling analysis, providing a universal method for quantifying pump flow changes, clarifying CAES-SPSI’s water–energy coupling mechanism, and offering a design basis for its agricultural application feasibility.

Fields of Study & Subjects

Irrigation Practices and Water Management Greenhouse Technology and Climate Control Photovoltaic System Optimization Techniques

Publication details

Journal / source
Agriculture
Volume
16
Issue
2
Pages
154–154
Publication date
8 January 2026
Language
EN