Investigation of Energy Consumption via an Equivalent Thermal Resistance-Capacitance Model for a Northern Rural Residence

Ligai Kang, Hao Li, Zhichao Wang (), Jinzhu Wang, Dongxiang Sun and Yang Yang
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Ligai Kang: School of Civil Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China
Hao Li: State Key Laboratory of Building Safety and Built Environment, Beijing 100013, China
Zhichao Wang: State Key Laboratory of Building Safety and Built Environment, Beijing 100013, China
Jinzhu Wang: School of Civil Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China
Dongxiang Sun: School of Civil Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China
Yang Yang: School of Civil Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China

Energies, 2023, vol. 16, issue 23, 1-18

Abstract: To achieve the goal of carbon peaking, it is crucial to reduce both carbon emissions and energy consumption during the operational stage of residential buildings. This paper proposed a method for assessing carbon emissions and energy consumption for an energy system utilized in a rural residence. First, an equivalent thermal resistance-capacitance model for a rural residence was established. The parameters of thermal resistance and capacitance were optimized based on the data collected from an operating air source heat pump heating system. On this basis, the energy consumption was derived, and it was compared with real consumption. Then, a method of estimating house energy consumption index per unit area under specified weather conditions was proposed. Finally, the carbon emissions of three heating types—heating driven by air source heat pump, gas boiler, and coal boiler—were compared. Results showed that the derived energy consumption index per unit area was 46.77 W/m 2 . The carbon emissions of the air source heat pump were 1406.1 kgCO 2 .

Keywords: carbon emissions; energy consumption index; equivalent thermal resistance-capacitance model; air source heat pump; parameter estimation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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