遺伝的アルゴリズムを用いた都市・建築設備のエネルギーシステム最適設計手法の開発

概要

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Energy conservation in the building sector is now given the great attention to with the surge of consciousness for a global environment. Due to advances in technology for building facilities, many choices of building equipments are available when designing an energy system in a building or in an urban area, such as cogeneration systems, triple-effect absorption refrigerators, high efficiency air source heat pumps, etc. Although so many choices exist, it is difficult to make a quantitative evaluation and decide which energy system is best, i.e. the lowest cost or the minimum environmental impact. In this study, a new optimal design method for buildings and urban energy systems is proposed. Also its applicability is analyzed using a simple case study. Genetic Algorithms (GA) which can deal with non linear optimization problems are adopted for this optimization. This method has two optimization steps, selection of equipment capacity and selection of optimum operational planning. These optimization steps are calculated simultaneously. The results showed that the proposed method has the potential to be applied to very complex energy systems and achieve significant improvements.
社団法人日本建築学会の論文
2007-10-30