Evaluation of the Operation Method based on Demand Re-forecast and Operation Re-schedule for Office Buildings with Heat Storage Facilities

Abstract

Efficient equipment operations by using energy demand forecast and optimized operation schedule have become common. To reduce the influence of forecasted errors, it is effective to apply re-forecast methods that updates the forecasted value using the actual demand at the last minute and re-schedule methods. Therefore, this paper shows these effectiveness and limitations based on the quantitatively evaluation for office buildings with heat storage facilities. We first propose a novel forecast method with re-forecast. Next, we have performed numerical simulations of equipment operation including re-schedule to clarify the quantitative effects of re-forecast and re-schedule. Finally, through the analysis of these results, we have identified issues for further improvement of energy utilization efficiency.