Global Optimization and Control of Greenhouse Climate Setpoints for Energy Saving and Crop Yield Increase

Yuanping Su () and Lihong Xu
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Yuanping Su: College of Energy and Mechanical Engineering, Jiangxi University of Science and Technology, Nanchang 330013, China
Lihong Xu: College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China

Agriculture, 2025, vol. 15, issue 9, 1-30

Abstract: The greenhouse climate setpoint is an important factor that can affect the energy consumption of greenhouse climate regulation. Therefore, optimising the setpoint is an effective way to save energy. This work proposes a novel global optimization and control approach for the greenhouse climate setpoint. In the proposed method, an interpolation control method is used to simulate the entire control process in order to evaluate the energy consumption and crop yield. Based on the estimated energy consumption and crop yield samples, a surrogate-based global optimisation approach is introduced to find the optimal setpoints of the greenhouse climate. In contrast to the steady-state global optimisation of the setpoint, the proposed dynamic global optimisation can save energy by 27%, and the crop yield can be improved by 25%. The optimisation results indicate that the prices of CO 2 and crop products can significantly influence the setpoints of CO 2 concentration and temperature inside the greenhouse. In the considered simulation case, when the selling price of a crop product is lower than 10 CNY/kg, the total profit is negative, the setpoint of CO 2 concentration reaches the lower bound, and the temperature setpoint is only 13.05 °C.

Keywords: energy saving; greenhouse climate control; energy consumption estimation; surrogate-based optimisation; control strategy interpolation (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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