Adaptive Intelligent Supplemental Light Optimization based on Fluctuating Electricity Prices

Growers cannot compromise product quality by saving energy, but increasing electricity prices pose an economic challenge. Greenhouse climate control systems must support advanced strategies to optimize these dynamic conflicting goals, but they do not currently do so. The approach utilizes existing hardware and integrates with local climate data, electricity price forecasts, and outdoor weather forecasts, enables advanced multi-objective optimization of climate parameters without requiring new hardware investments. In December 2022, researchers conducted a greenhouse experiment to evaluate the proposed system. Using dynamic multi-objective optimization, they were able to produce a variety of cultivars and save energy without sacrificing quality