Analysis of Intelligent Heating Strategy and Energy-Saving Potential of Campus Buildings
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This paper contains an overview of intelligent heating based on the investigation and analysis of campus buildings of Harbin Institute of Technology. Indoor thermal environment and energy consumption of the Cheku building were simulated under six working conditions in the cold region climate conditions. Based on the calculation outcome of the Cheku building, the energy-saving rate of the Campus I, the Campus II, and the Science Park in heating season are calculated. Results show that the low-temperature heating at night during the semester season can reduce the energy consumption by 5.20%. Low-temperature heating in winter vacation reduced energy consumption by 17.01%. During the semester and winter vacation, low-temperature heating at night can reduce energy consumption by 10.21%. The research results provide a reference for the application of energy conservation and intelligent heating in campus buildings.
KeywordsCampus building Energy saving Intelligent heating
The project is supported by National Natural Science Foundation (Number 51778168).
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