Energy-saving control of greenhouse climate based on MOCC strategy

  • Authors:

  • Lihong Xu;Haigen Hu;Bingkun Zhu

  • Affiliations:

  • Tongji University, Shanghai, China;Tongji University, Shanghai, China;Tongji University, Shanghai, China

  • Venue:
  • Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
  • Year:
  • 2009

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Abstract

The adjustment of greenhouse environment has heavy influence on the plants growth, production yield, quality and energy consumption. Moreover, classical methods used for solving greenhouse environment multi-objective control problems may be more reasonable by adopting "region" control objectives instead of "point" control objectives. In this paper, we propose a novel energy-saving control algorithm, and employ Multi-Objective Compatible Control(MOCC) strategy and an extant greenhouse model to optimize the control parameters of greenhouse environment for short time-scale prediction(15 minutes). A series of optimization experiments using Multi-Objective Evolutionary Algorithms(MOEAs) are presented to minimize energy consumption under certain compatible control "region" conditions. The results are encouraging, and show that the proposed method may be valuable and helpful to formulate environmental control strategies, to pursue less energy cost, and to gradually realize the ultimate objectives of environmental optimal control.