Efficient Operation Scheduling for Refrigeration System

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  • Morita Hiroshi
    Graduate School of Information Science and Technology, Osaka University
  • Yuki Naoya
    Graduate School of Information Science and Technology, Osaka University
  • Terano Masaaki
    New Product Technologies Development Department, Panasonic Electric Works Co., Ltd.
  • Kobayashi Misayo
    New Product Technologies Development Department, Panasonic Electric Works Co., Ltd.

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  • 冷凍機システムの効率的運用法に関する研究
  • レイトウキ システム ノ コウリツテキ ウンヨウホウ ニ カンスル ケンキュウ

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Abstract

We consider the defrost timing scheduling for refrigeration system, where it is required to reduce the peak consumption of electric power. The scheduling system is based on the two-stage genetic algorithm. We obtain the cyclic defrost timing at the first-stage, and improve the defrost timing at the second-stage modifying the cyclic defrost timing. The requirement on the undesirable defrost timing can be considered. The case study by using the data at the actual store is shown to verify the effectiveness.<br>

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