Paper Conference

Proceedings of Building Simulation 2021: 17th Conference of IBPSA

     

Optimal control strategies of an ice-based thermal energy storage system in an existing office building

Seongkwon Cho, Han Gyeong Chu, Cheol-Soo Park
Seoul National University, Korea, Republic of (South Korea)

DOI: https://doi.org/10.26868/25222708.2021.30665
Abstract: This study presents data-driven optimal control strategies of an ice-based thermal energy storage system in an existing office building. Firstly, a cooling demand prediction model for the cycle of 24 hours was developed. Based on calculated performance of the cooling system and the predicted cooling demand, optimal load shift strategies were proposed. The strategies are realized to achieve operational cost savings under three different cooling demand scenarios. It is shown that the accurate load prediction and optimal control strategies can save 8%-47% of the cooling system’s operational costs.
Keywords: ice-based thermal energy storage, optimal control, data-driven, cooling demand prediction
Pages: 3610 - 3615
Paper:
bs2021_30665