An open-access paper in Smart Agricultural Technology reports a technical validation of the Predictive Optimal Water and Energy Irrigation, or POWEIr, controller. The study examines solar-powered drip irrigation on farms in Jordan and Morocco, using weather, soil and system information to plan watering while managing a battery around available solar energy.
The authors report observed savings of up to 44% in water and 43% in energy in the tested cases. Those figures describe the study conditions, not a promise for every farm. Soil type, crop, emitter layout, pump curve, weather forecast quality and the baseline irrigation schedule can all change the result.
The useful engineering idea is the coordination of two constraints: irrigation must meet crop needs, while battery charging is limited to surplus solar and discharge supports the pump when solar output is insufficient. That makes the controller’s inputs and failure modes as important as its optimization method.
Aquasolar did not develop or participate in this external study. Before adopting a similar controller, buyers should request field logs, sensor calibration procedures, fallback schedules and a clear separation between research results and guaranteed performance.
Source: Smart Agricultural Technology, “Technical validation of the Predictive Optimal Water and Energy Irrigation (POWEIr) controller for solar-powered drip irrigation”, volume 14, August 2026.
Due-diligence checklist
- Compare measured savings with the farm’s existing irrigation baseline.
- Test sensor failure, forecast error and communications loss.
- Keep a safe manual schedule for pump and battery operation.
