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© 2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

In China, statistics yearbooks include detailed data on central heating and this data covers all heat-generators or heat suppliers regardless of their scale. Since EBS is recognized as a reliable, timely and complete data source of both energy supply and demand, our focus is to develop and test a method of adapted EBS for providing reliable data of China’s energy consumption at sector level. [...]in this research, we calculated the Et by using Equation (2): Et = (95% gasoline consumption + 35% diesel consumption) of Sector (S5) wholesale, retail trade and catering services and (S6) others + (100% gasoline consumption + 95% diesel consumption) of Sector (S7) residential consumption In Equation (2), data on gasoline and diesel consumption in all sectors is available from the existing EBS in China. [...]necessary sampling surveys are needed to support CBEM calculation, while the EBS approach of this research is based on official statistics and no additional data collection or survey efforts are needed. Since there is a systematic data verification, data quality control and application of standardized data collection, data from official statistics is highly accepted and well applied by policy makers as well as various stakeholders, while the CBEM approach is widely used by academic institutes and researchers. [...]industrial energy consumption is more production-related and it is driven by market and economic activities. [...]industrial energy consumption is mainly a consequence of economic development and building energy demand is mainly a consequence of the growing living standards.

Details

Title
Creating Statistics for China’s Building Energy Consumption Using an Adapted Energy Balance Sheet
Author
Zhang, Mingshun; Ge, Xuan; Zhao, Ya; Xia-Bauer, Chun
Publication year
2019
Publication date
Feb 2019
Publisher
MDPI AG
e-ISSN
19961073
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2317092265
Copyright
© 2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.