Construction of Multi-Sample Public Building Carbon Emission Database Model Based on Energy Activity Data

Yue Guo, Xin Zheng, Wei Wei, Yuancheng He, Xiang Peng, Fei Zhao, Hailong Wu, Wenxin Bi (), Hongyang Yan and Xiaohan Ren
Additional contact information
Yue Guo: Marketing Service Center (Metering Center), State Grid Hubei Electric Power Co., Ltd., Wuhan 430080, China
Xin Zheng: Marketing Service Center (Metering Center), State Grid Hubei Electric Power Co., Ltd., Wuhan 430080, China
Wei Wei: Marketing Service Center (Metering Center), State Grid Hubei Electric Power Co., Ltd., Wuhan 430080, China
Yuancheng He: Marketing Service Center (Metering Center), State Grid Hubei Electric Power Co., Ltd., Wuhan 430080, China
Xiang Peng: Marketing Service Center (Metering Center), State Grid Hubei Electric Power Co., Ltd., Wuhan 430080, China
Fei Zhao: China State Construction Engineering Design & Research Institute Co., Ltd., Beijing 100037, China
Hailong Wu: China State Construction Engineering Design & Research Institute Co., Ltd., Beijing 100037, China
Wenxin Bi: China State Construction Engineering Design & Research Institute Co., Ltd., Beijing 100037, China
Hongyang Yan: China State Construction Engineering Design & Research Institute Co., Ltd., Beijing 100037, China
Xiaohan Ren: Institute of Thermal Science and Technology, Shandong University, Jinan 250062, China

Energies, 2025, vol. 18, issue 14, 1-25

Abstract: In order to address the growing urgency of energy-related carbon emission reduction and improve the construction of the existing public building carbon emission database model, this study constructs a public building carbon emission database model based on energy activity data by collecting the energy consumption data of relevant buildings in the region and classifying the building types, aiming to quantitatively analyze the carbon emission characteristics of different types of public buildings and provide data support for the national and local governments, enterprises, universities and research institutions, and the power industry. This study is divided into three phases: The first stage is the mapping of carbon emission benchmarks. The second stage is the analysis of multi-dimensional-building carbon emission characteristics. The third stage is to evaluate the design optimization plan and propose technical improvement suggestions. At present, this research is in the first stage: collecting and analyzing information data such as the energy consumption of different types of buildings, building a carbon emission database model, and extracting and analyzing the carbon emission benchmarks and characteristics of each building type from the data of 184 public buildings in a given area. Moreover, preliminary exploration of the second phase has been conducted, focusing on identifying key influencing factors of carbon emissions during the operational phase of public buildings. Office buildings have been selected as representative samples to carry out baseline modeling and variable selection using linear regression analysis. The results of this study are of great significance in the energy field, providing data support for public building energy management, energy policy formulation, and carbon trading mechanisms.

Keywords: public buildings; carbon emissions; building types; databases; carbon emission factor (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: 2025
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