蓄熱式空調システムの熱負荷予測精度が熱源機器の電力消費量および電力料金に及ぼす影響

概要

論文の詳細を見る
Prediction of thermal loads was recently recognized to be important to optimize operation of a thermal storage system. The practical evaluation of load prediction method, however, has not sufficiently been carried out. We evaluated four prediction algorithms for daily thermal loads against data from a medium-sized office building. We then did several simulations of the air-conditioning operations using five-month-long predicted loads to estimate the seasonal electric consumption and the seasonal electric charge. This involved substituting design parameters such as the thermal storage tank capacity and the energy loss rate from the tanks. There was a difference in the seasonal electric consumption and the seasonal electric charge according to the accuracy of the thermal load prediction, 5% and 30% at the maximum, respectively.
社団法人日本建築学会の論文
2000-11-30