@article{oai:ipsj.ixsq.nii.ac.jp:00218925,
 author = {Dafang, Zhao and Daichi, Watari and Yuki, Ozawa and Ittetsu, Taniguchi and Toshihiro, Suzuki and Yoshiyuki, Shimoda and Takao, Onoye and Dafang, Zhao and Daichi, Watari and Yuki, Ozawa and Ittetsu, Taniguchi and Toshihiro, Suzuki and Yoshiyuki, Shimoda and Takao, Onoye},
 issue = {7},
 journal = {情報処理学会論文誌},
 month = {Jul},
 note = {We designed and experimentally studied an online management framework for building variable refrigerant flow (VRF) heating/cooling systems, which achieve peak shaving and thermal comfort improvement. We also developed a thermal equivalent circuit model (TECM) to describe a building's thermal behavior. The TECM was experimentally validated under different ambient temperatures, heat/cooling loads, and occupations. The temperature responses obtained from it have good agreement with observations, and the maximum deviation is below 1.9℃. We formulated a model predictive control (MPC) problem for VRF heating/cooling system control whose objective is to minimize electric costs, reduce power demand peaks, and maximize thermal comfort. An online management framework of the VRF heating/cooling system, which was developed based on TECM, includes a monitoring system based on built-in sensors, embedded technology, and a real-time VRF system control module based on the MPC problem. We investigated the performance of the proposed framework with different operating conditions in an actual room. The VRF heating/cooling systems using this framework achieved better room temperature control and improved energy efficiency.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.30(2022) (online)
DOI　http://dx.doi.org/10.2197/ipsjjip.30.476
------------------------------, We designed and experimentally studied an online management framework for building variable refrigerant flow (VRF) heating/cooling systems, which achieve peak shaving and thermal comfort improvement. We also developed a thermal equivalent circuit model (TECM) to describe a building's thermal behavior. The TECM was experimentally validated under different ambient temperatures, heat/cooling loads, and occupations. The temperature responses obtained from it have good agreement with observations, and the maximum deviation is below 1.9℃. We formulated a model predictive control (MPC) problem for VRF heating/cooling system control whose objective is to minimize electric costs, reduce power demand peaks, and maximize thermal comfort. An online management framework of the VRF heating/cooling system, which was developed based on TECM, includes a monitoring system based on built-in sensors, embedded technology, and a real-time VRF system control module based on the MPC problem. We investigated the performance of the proposed framework with different operating conditions in an actual room. The VRF heating/cooling systems using this framework achieved better room temperature control and improved energy efficiency.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.30(2022) (online)
DOI　http://dx.doi.org/10.2197/ipsjjip.30.476
------------------------------},
 title = {A Thermal Comfort and Peak Power Demand Aware VRF Heating/Cooling Management Framework: Simulation and On-site Experiment},
 volume = {63},
 year = {2022}
}