A cost optimization of solar-powered, drip irrigation systems

Abstract

This thesis presents a design and cost optimization for solar-powered, drip irrigation systems. Historical irradiance data and crop consumption data are considered and modelled during these design steps. A cost optimization is utilized in order to determine low-cost, optimum configuration that meets the required water consumption rate of a given crop. In this case, Jalgaon, India is used as an example to determine the configuration and cost per acre for solar-powered, drip irrigation systems for sunflowers, tomatoes, and barley. These configurations consisted of five 310 Watt solar panels coupled with a 5m³ water buffer, three 295 Watt solar panels coupled with a 5m³ water buffer, and three 320 Watt solar panels coupled with a 4m³ water buffer, respectively. These systems are projected to cost $4,600, $3,870, and $3,750, respectively. The results of this study show the value of a system optimization of solar-powered, drip irrigation systems.