Abstract
With socioeconomic development, the consumption of natural gas heating has increased in regions characterized by hot summers and cold winters. To explore the characteristics of heating energy consumption in residential buildings, original natural-gas consumption data were obtained from residential households in Nan**g, China and a cluster analysis was conducted based on the level of energy consumption and residents’ reliance on heating. The findings indicate that (1) natural-gas heating users can be classified into three clusters: low heating energy consumption and low reliance on heating, medium heating energy consumption and high reliance on heating, and high heating energy consumption and high reliance on heating; (2) heating energy consumption is inversely related to air temperature and a high heating energy consumption is more sensitive to air temperature; and (3) the heating energy consumption is higher on non-working days compared to that for workdays, and low heating energy consumption during workdays strongly influences that on non-working days. These findings will act as reference for building engineers and urban planners to realize the demand characteristics of gas heating in urban settlements situated in hot summer–cold winter zones.
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References
**ao H, Wei Q, Jiang Y (2012) The reality and statistical distribution of energy consumption in office buildings in China. Energy Build 50:259–265. https://doi.org/10.1016/j.enbuild.2012.03.048
Peng C, Yan D, Guo S, Hu S, Jiang Y (2015) Building energy use in China: ceiling and scenario. Energy Build 102:307–316. https://doi.org/10.1016/j.enbuild.2015.05.049
Guo S, Yan D, Peng C, Cui Y, Zhou X, Hu S (2015) Investigation and analyses of residential heating in the HSCW climate zone of China: status quo and key features. Build Environ 94:532–542. https://doi.org/10.1016/j.buildenv.2015.10.004
Li B, Yao R (2009) Urbanisation and its impact on building energy consumption and efficiency in China. Renew Energy 34(9):1994–1998. https://doi.org/10.1016/j.renene.2009.02.015
CABEE (2021) China building energy consumption annual report 2020, **amen. https://www.cabee.org/site/content/24020.html
MOHURD (2010) Design standard for energy efficiency of residential buildings in hot summer and cold winter zone. China Architecture & Building Press, Bei**g
**n W, Jiangang L (2020) Analysis of the regional gas market in the Yangtze River Economic Belt. Int Petroleum Eco 28(2), July 2020
Chen Q, Li N (2022) Energy, emissions, economic analysis of air-source heat pump with radiant heating system in hot-summer and cold-winter zone in China. Energy Sustain Dev 70:10–22. https://doi.org/10.1016/j.esd.2022.07.002
Zhang Q, Zhang L, Nie J, Li Y (2017) Techno-economic analysis of air source heat pump applied for space heating in northern China. Appl Energy 207:533–542. https://doi.org/10.1016/j.apenergy.2017.06.083
Yu M, Li S, Zhang X, Zhao Y (2021) Techno-economic analysis of air source heat pump combined with latent thermal energy storage applied for space heating in China. Appl Therm Eng 185. https://doi.org/10.1016/j.applthermaleng.2020.116434
Zengfeng WZSHY, Zhanwei W (2014) Comprehensive evaluation of different heating modes on the typical cities in hot summer and cold winter zone. Build Sci 30: 8–14
Yanbing K (2008) Technical and economical evaluation on different heating technologies. Energy China 1:16–22
CGC (2021) China’s gas appliances industry ‘14th Five-Year Plan’ development report, Zunyi. http://www.gasheat.cn/Trend/detail/5843.html
Li B, Du C, Yao R, Yu W, Costanzo V (2018) Indoor thermal environments in Chinese residential buildings responding to the diversity of climates. Appl Therm Eng 129:693–708. https://doi.org/10.1016/j.applthermaleng.2017.10.072
**ong Y, Liu J, Kim J (2019) Understanding differences in thermal comfort between urban and rural residents in hot summer and cold winter climate. Build Environ 165. https://doi.org/10.1016/j.buildenv.2019.106393
Ying ZYZCQ (2019) Discussion on intelligent gas meter reading and management system in 5G Era. Urban Gas 3:29–32
Ke LYLGJ (2022) Study on the index of heating gas in Chengdu area. Urban Gas 3:19–25
Lixaing Y (2012) Research on the gas consuming index, rule and daily load forecasting of wall-mounted gas boiler. Bei**g University of Technology, Bei**g
Li L, Ming H, Fu W, Shi Q, Yu S (2021) Exploring household natural gas consumption patterns and their influencing factors: an integrated clustering and econometric method. Energy 224. https://doi.org/10.1016/j.energy.2021.120194
Dong J, Li Y, Zhang W, Zhang L, Lin Y (2020) Impact of residential building heating on natural gas consumption in the south of China: taking Wuhan city as example. Energy Built Environ 1(4):376–384. https://doi.org/10.1016/j.enbenv.2020.04.002
Li L, Li J, Li K, Luo X, Jiao J (2022) Climatic impacts on residential natural gas consumption: evidence from Hefei, China. Energy Build 275. https://doi.org/10.1016/j.enbuild.2022.112488
Lang A, Schubert E (2022) BETULA: fast clustering of large data with improved BIRCH CF-Trees. Inf Syst 108. https://doi.org/10.1016/j.is.2021.101918
Zhang T, Ramakrishnan R, Livny M (1996) BIRCH: an efficient data clustering method for very large databases. In: Proceedings of the 1996 ACM SIGMOD international conference on management of data, pp 103–114. https://doi.org/10.1145/233269.233324
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Zhou, Y., Huang, X., Hu, Z. (2023). Energy Consumption Characteristics of Wall-Hanging Gas Boilers in Hot Summer–Cold Winter Zone of China. In: Gaber, H. (eds) Proceedings of the 5th International Conference on Clean Energy and Electrical Systems. CEES 2023. Lecture Notes in Electrical Engineering, vol 1058. Springer, Singapore. https://doi.org/10.1007/978-981-99-3888-9_25
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