負荷予測の誤差を考慮した空調システム運用の最適化手法の開発

概要

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This study is concerned with development of optimization methods for building air-conditioning system operation considering thermal load prediction errors. A building air-conditioning system is conventionally operated under different set-points which are not almost changed through a year. Further energy savings for air-conditioning, however, can be achieved if these set-points are optimized according to the situations which change hour by hour. In this paper, prediction methods for weather data needed for calculation of building thermal loads and optimization methods for air-conditioning system operation are examined and newly proposed. The numerical simulation results based on the proposed methods show that reduction rate of air-conditioning system energy consumption is improved more than an existing method.