A Thermal Comfort and Peak Power Demand Aware VRF Heating/Cooling Management Framework: Simulation and On-site Experiment

• Item type: Journal(1)
• 公開日: 2022-07-15
• タイトル: A Thermal Comfort and Peak Power Demand Aware VRF Heating/Cooling Management Framework: Simulation and On-site Experiment
• タイトル / 言語: en
• タイトル: A Thermal Comfort and Peak Power Demand Aware VRF Heating/Cooling Management Framework: Simulation and On-site Experiment
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [一般論文] thermal circuit, VRF, model predictive control, thermal management, peak shaving, energy management
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Campus Sustainability Office, Osaka University
• 著者所属: Graduate School of Engineering, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Campus Sustainability Office, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者名: Dafang, Zhao; Daichi, Watari; Yuki, Ozawa; Ittetsu, Taniguchi; Toshihiro, Suzuki; Yoshiyuki, Shimoda; Takao, Onoye
• 著者名(英): Dafang, Zhao; Daichi, Watari; Yuki, Ozawa; Ittetsu, Taniguchi; Toshihiro, Suzuki; Yoshiyuki, Shimoda; Takao, Onoye
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: 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; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: 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; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 63, 号 7, 発行日 2022-07-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764