Air source heat pump;
Model predictive control;
Energy management;
Building heating system;
Battery;
Heat storage;
PV self-consumption;
CONSUMPTION;
D O I:
10.1016/j.enbuild.2019.109444
中图分类号:
TU [建筑科学];
学科分类号:
0813 ;
摘要:
This study investigates the potential of model predictive heat pump control in detached houses in terms of electric energy consumption, thermal comfort and photovoltaic energy self-consumption. Two comparable test rigs with identical devices are set up. The test rigs include electrical air source heat pumps with variable compressor speed, thermal energy storages and heat dissipation by heat exchangers. The heat demand is controlled by valves, which are coupled to real-time simulation of building models in compliance with the principle of energy conservation. Measurements confirm test rig comparability. After introducing the model predictive control (MPC) concept, a successive series of six measurements of 120 h each within the heating season is presented. The model predictive heat pump controller is evaluated by comparison to a standard heat pump controller implemented into the reference test rig. Results show an average increase of the heat pump coefficient of performance of 22.2%, an average increase of 234.8% in terms of photovoltaic energy self-consumption as well as a resulting average heat pump operational cost reduction of 34.0% by application of MPC. (C) 2019 Elsevier B.V. All rights reserved.
机构:
Korea Univ, Sch Civil Environm & Architectural Engn, 145 Anam Ro, Seoul 02841, South KoreaKorea Univ, Sch Civil Environm & Architectural Engn, 145 Anam Ro, Seoul 02841, South Korea
Lee, Hyeongseok
Heo, Yeonsook
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机构:
Korea Univ, Sch Civil Environm & Architectural Engn, 145 Anam Ro, Seoul 02841, South KoreaKorea Univ, Sch Civil Environm & Architectural Engn, 145 Anam Ro, Seoul 02841, South Korea
机构:
Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China
Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China
Wang, Dan
Chen, Yangzhe
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机构:
Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China
HKUST Shenzhen Hong Kong Collaborat Innovat Res In, Shenzhen, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China
Chen, Yangzhe
Wang, Wei
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机构:
Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Effi, Beijing, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China
Wang, Wei
Gao, Cheng
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机构:
Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Effi, Beijing, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China
Gao, Cheng
Wang, Zhe
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机构:
Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China
HKUST Shenzhen Hong Kong Collaborat Innovat Res In, Shenzhen, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China