상업 건물의 모델기반 예측제어를 위한 분산 최적화 기반 그레이박스 모델 개발

다국어 초록 (Multilingual Abstract)

The main issue of implementing the model-based predictive control (MPC) to actual building is estimating the control-oriented building model due to the computational burden and model complexity. This study investigates the applicability of the decentralized optimization method to solve the issue. The real data from the actual building was used for grey-box model development. The decentralized splits the multi-zone building into small scale zone and individual optimization is carried out seperately. Then the thermally coupled resistance between the zones are selected for the parametric optimizarion. Final results show the fair prediction performance of the developed grey-box building model that can be used for the MPC.