@inproceedings{2c0cbff08c3641fc84b56a7f6404ab95,
title = "Performance Evaluation of a Model Predictive Control for Thermal Energy Storage Integrated Heat Pump Systems through a Co-Simulation",
abstract = "Integrating thermal energy storage in buildings{\textquoteright} heating/cooling systems is one of the approaches to alleviate the stress on electric grids. The study investigated a novel approach that integrates thermal energy storage with the geothermal heat pump system to reshape the electric demand load profile of a building while maintaining indoor thermal comfort. A co-simulation was developed to model the integrated system and different control strategies. Simulation results indicate that a model predictive control (MPC) can reduce energy cost compared with using a rule-based control (RBC) while meeting all the thermal demands of the building, but the MPC is complicated and requires more computational effort than the RBC.",
author = "Liang Shi and Ming Qu and Xiaobing Liu and Borui Cui and Jin Dong",
note = "Publisher Copyright: {\textcopyright} 2024 ASHRAE.; 2024 ASHRAE Winter Conference ; Conference date: 20-01-2024 Through 24-01-2024",
year = "2024",
language = "English",
series = "ASHRAE Transactions",
publisher = "American Society of Heating Refrigerating and Air-Conditioning Engineers",
pages = "62--69",
booktitle = "ASHRAE Winter Conference",
}