Energy-Saving Effect and Mechanism of Heating Setting Temperature Decreased by 1 °C for Residential Buildings in Different Cities
- 238 Downloads
Heating setting temperature (HST) is a key and controllable parameter affecting total heating energy usage. In this paper, characteristic temperature method (CTM) is used to pre-estimate the heating load of a residential building for seven cities under different climatic conditions when the HST decreases by 1 °C. The energy-saving effect is discussed to clarify the internal mechanism of the difference between the energy-saving amount (ESA) and ratio (ESR) from two perspectives. The results show that when the HST drops by 1 °C, ESA and ESR will vary widely. The colder region is, the higher ESA can reach, but the lower ESR will be. Although heating hours differ by three times in different regions, the overall trend is that the hourly load reduction rate increases rapidly with the increasing outdoor dry bulb temperature, while it increases exponentially with the decreasing hourly heating load. This study can provide reference for standard determination and building energy saving from the resident behavioral aspect.
KeywordsHeating energy consumption Building energy saving Characteristic temperature method Setting temperature
This project is funded by the National Key R&D Program of China (2016YFC0700400), and the National Natural Science Foundation of China (No. 51778382).
- 1.China Building Energy Conservation Association Energy Consumption Statistics Committee, 2017. China Building Energy Research Report, BeijingGoogle Scholar
- 4.ASHREA: ANSI/ASHREA Standard 55: Thermal Environmental Conditions for Human Occupancy. ASHREA, Atlanta (2013)Google Scholar
- 5.Ministry of Housing and Urban-Rural Development: GB 50736-2012. Design Specification for Heating, Ventilation and Air Conditioning of Civil Buildings, Beijing (2012)Google Scholar
- 6.Z. Li, 2012. Investigation and research on the relationship between energy use behavior and energy consumption in Chinese dwellings, Tsinghua UniversityGoogle Scholar
- 7.S.Q. Chen, 2009. Analysis of energy consumption characteristics and energy-saving evaluation of urban residential buildings based on statistical theory, Hunan UniversityGoogle Scholar
- 8.X.W. Yu, et al., 2016. Design and Influence Factors Analysis of Building Operation Energy Consumption Simulation Scheme, Journal of Shandong Jianzhu University 31(02): 148-152+182Google Scholar
- 9.L.H. Yang, 2016. Study on the impact of residential building behavior on energy consumption in hot summer and cold winter areas, Zhejiang UniversityGoogle Scholar
- 10.Tsinghua University Building Energy Conservation Research Center, 2009. China Building Energy Conservation Annual Development Research Report, BeijingGoogle Scholar
- 11.E.S. Long, 2009. Gene theory of building energy consumption and building energy conservation practice, BeijingGoogle Scholar
- 12.Li, Y.R., et al.: Study on indoor temperature change characteristics of different end forms of intermittent air conditioners. Refrigeration and Air Conditioning (Sichuan) 29(05), 533–537 (2015)Google Scholar