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A model-based control strategy to recover cooling energy from thermal mass in commercial buildings

Author:
Shan, Kui, Wang, Jiayuan, Hu, Maomao, Gao, Dian-ce
Source:
Energy 2019 v.172 pp. 958-967
ISSN:
0360-5442
Subject:
air conditioning, air temperature, algorithms, buildings, energy recovery, furniture, models, prediction, thermal energy, China
Abstract:
Building structures and furniture have the capability of storing thermal energy and therefore could be called building thermal mass. In commercial buildings, room conditions remain in thermal comfort zone for a while after the end of office hours when the air-conditioning systems are tuned off. It is possible to recover the stored cooling energy from building thermal mass in commercial buildings. This study proposes a model-based control strategy for such purpose. A simplified building RC model and a black-box model are combined by a simple data fusion algorithm for easier implementation and more accuracy prediction. The feasibility of such energy recovery was validated on-site in a super high-rise commercial building in Hong Kong, and the proposed method was validated on a dynamic simulation platform built based on the same building. In the two on-site validations, the energy savings during the energy recovering period were 85.8% and 80.1%, respectively. In the simulation tests, by allowing indoor air temperature increase by 1 K, the proposed control strategy could save 83.8% of the cooling energy during the recovering period, which accounts for 7.23% of the total cooling energy consumption in the entire tested days.
Agid:
6307187