Multiple-purpose Operational Planning of Fuel Cell and Heat Pump Compound System using Genetic Algorithm

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  • OBARA Shin'ya
    Department of Mechanical Engineering, Tomakomai National College of Technology
  • KUDO Kazuhiko
    Division of Mechanical Science Graduate School of Engineering, Hokkaido University

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  • 遺伝的アルゴリズムによる燃料電池およびヒートポンプ複合システムの多目的運用計画
  • イデンテキ アルゴリズム ニ ヨル ネンリョウ デンチ オヨビ ヒートポンプ フクゴウ システム ノ タモクテキ ウンヨウ ケイカク

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Abstract

The chromosome model showing system operation pattern is applied to SGA (simple genetic algorithm), and the method of optimization dynamic cooperation operation of energy system is developed. The optimization method of this dynamic planning was applied to the compound system of methanol steam reforming type fuel cell, geo-thermal heat pump, backed-boiler and utility power supply. The characteristic operation patterns were shown from the results of optimization calculation of the energy system which comes out for multiple purposes. This optimal analysis method was applied about the energy system of cold region house. In this case, the system satisfied of purposes was able to be found rather than the operation pattern with which are conventional energy supply system (utility power supply and kerosene boiler). The SGA optimization analysis method in this paper is a means effective in system design, control, and the dynamic operation plan of the compound energy system by new energy as fuel cell or heat pump, natural energy, and unused energy.

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