GA OPTIMIZATION FOR DISTRIBUTED ENERGY SYSTEMS IN COMPLEX BUILDING BLOCKS

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  • KAYO Genku
    Graduate Student, Department of Architecture, Faculty of Engineering, the University of Tokyo
  • OOKA Ryozo
    Prof., Institute of Industrial Science, the University of Tokyo, Ph. D.

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  • 複合街区における分散エネルギーシステムの面的活用に関するGA最適化
  • フクゴウガイク ニ オケル ブンサン エネルギー システム ノ メンテキ カツヨウ ニ カンスル GA サイテキカ

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Abstract

Distributed energy systems based on cogeneration offer great potential for saving energy by effectively utilizing waste heat from power generators. However, without the appropriate combination of machinery and operation, the expected performance cannot be achieved. But in this regard, it is quite difficult to determine the optimal combination of machinery and operation, the planned performance cannot be achieved. Some practical designs about distributed energy systems are constructed based on experimental results by professional system engineers. To spread the concept of distributed energy systems, quantitative design method is needed. Consequently, in this study, the optimization between machinery combination and its operation in order to minimize primary energy consumption is calculated using Genetic Algorithm (GA). Some cases are individual building and some are energy accommodation cases. The calculation results show that GA optimization led objective smaller than experimental designs. Moreover, the result of energy accommodation among buildings is smaller than that of total summation of individual buildings because effective waste heat was utilized among buildings effectively.

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