遺伝的アルゴリズムとラグランジュの未定乗数法を用いた熱源の最適化手法と運用計画チャートの開発

摘要

本研究では、熱源容量•台数の最適化に既往研究で用いられていた遺伝的アルゴリズムを、運用計画の最適化にはラグランジュの未定乗数法を適用することで、既往研究で用いられていた手法と比べ効率よく最適化を行う手法を確立した。この高効率化によって運用計画の最適化にかかる計算時間を大幅に短縮することができるようになり、その結果多くの熱源が必要と想定されるケースの最適化計算も可能になった。%Various optimization methods of heat source and operational design have been studied in order to reduce energy consumption in building sector. Some problems, however, remain to be improved. Furthermore, some designers plan building services by empirical laws in general buildings. Even if they plan them by optimum design, it isn't necessarily the most suitable that people who work at operation center operate heat sources. The authors have developed the optimization method of heat source using genetic algorithm and Lagrange multiplier to improve previous studies and have developed chart for operational design. If operators use the chart when they operate heat sources, they can understand easily which to operate heat sources and how much output. The result shows that a program which the authors made can calculate on condition that load factor is continuous, the calculation speed is quicker than the previous study, and chart for operational design is convenient for workers at operation center.