Research on construction of a low-carbon assessment system and accounting methods for urban community municipal infrastructure

XIA Qiongqiong; ZHENG Xingcan; CAO Shanshan; ZHANG Peng; SHANG Wei; LI Pengfeng

doi:10.13205/j.hjgc.202610022

Volume 44 Issue 10

Oct. 2026

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2026 > 44(10): 223-231

XIA Qiongqiong, ZHENG Xingcan, CAO Shanshan, ZHANG Peng, SHANG Wei, LI Pengfeng. Research on construction of a low-carbon assessment system and accounting methods for urban community municipal infrastructure[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(10): 223-231. doi: 10.13205/j.hjgc.202610022

Citation:

XIA Qiongqiong, ZHENG Xingcan, CAO Shanshan, ZHANG Peng, SHANG Wei, LI Pengfeng. Research on construction of a low-carbon assessment system and accounting methods for urban community municipal infrastructure[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(10): 223-231. doi: 10.13205/j.hjgc.202610022

Citation:

XIA Qiongqiong, ZHENG Xingcan, CAO Shanshan, ZHANG Peng, SHANG Wei, LI Pengfeng. Research on construction of a low-carbon assessment system and accounting methods for urban community municipal infrastructure[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(10): 223-231. doi: 10.13205/j.hjgc.202610022

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Research on construction of a low-carbon assessment system and accounting methods for urban community municipal infrastructure

doi: 10.13205/j.hjgc.202610022

1. North China Municipal Engineering Design & Research Institute Co., Ltd., Tianjin 300074, China;
2. Hebei Gongda Keya Technology Group Co., Ltd., Shijiazhuang 050035, China;
3. Tianjin University, Tianjin 300072, China

Received Date: 2026-01-22
Available Online: 2026-11-10

Abstract

Abstract

Focusing on three major community municipal infrastructures， heating， power supply， and drainage， this paper develops a low-carbon evaluation system and a refined accounting model tailored for the operation and maintenance phase. Initially， the study defines the "meso-scale" carbon accounting boundary based on actual service handover points， relies on systems engineering theory to construct a subsystem evaluation framework comprising 44 indicators， and scientifically determines the indicator weights utilizing a combination of expert consultation and the analytic hierarchy process （AHP）. It proposes a three-dimensional classification evaluation mechanism based on indicator attributes， deeply coupling differentiated scoring methods， such as interpolation conversion， threshold grading， and compliance verification with carbon emission accounting. An empirical study of a typical community in North China demonstrates that the heating and power supply systems， accounting for over 80% of total carbon emissions， act as the core elements influencing the decarbonization potential. Reducing the heat loss rate of the heating network from 15% to 5% can effectively reduce absolute emissions， raising the heating system score to 78 points. Meanwhile， introducing a 20% distributed photovoltaic ratio propels the power supply system score to a higher level of 85 points. In contrast， the drainage system， despite its minor emission share， exhibits significant marginal scoring benefits. Simply shortening the septic tank cleaning cycle from 2 years to 0.5 years reduces the equivalent carbon intensity from 1.12 kg CO_2-eq/m³ to 0.56 kg CO_2-eq/m³， resulting in a step-wise score increase from 55 to 82. Consequently， this paper proposes that the low-carbon governance of existing communities should adopt a coordinated scheduling strategy of "heavy-asset loss reduction and capacity expansion alongside lightweight biochemical blocking"， thereby providing a practical evaluation benchmark for refined emission reduction in municipal engineering.
- community municipal infrastructure,
- meso-scale,
- carbon emission accounting,
- low-carbon evaluation indicators,
- non-CO₂ greenhouse gases

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References(21)

References

[1]	SHAN Y,GUAN D,LIU J,et al. City-level emission peak and drivers in China[J]. Science Bulletin,2022,67（18）:1910-1920.
[2]	CAI B F. Research on core issues of urban greenhouse gas inventories[M]. Beijing:Chemical Industry Press,2014. 蔡博峰. 城市温室气体清单核心问题研究[M]. 北京:化学工业出版社,2014.
[3]	HUO T,XU L,FENG W,et al. Will the urbanization process influence the peak of carbon emissions in the building sector？ A dynamic scenario simulation[J]. Energy and Buildings,2021,232:110590.
[4]	LOMBARDI M,LAIOLA E,TRICASE C,et al. Assessing the urban carbon footprint:An overview[J]. Environmental Impact Assessment Review,2017,66:43-52.
[5]	WANG M,ZHONG X,SUN C,et al. Comprehensive performance of green infrastructure through a life-cycle perspective:A review[J]. Sustainability,2023,15（14）:10857.
[6]	LONG Y,DOU Y,ZHANG L,et al. Prediction of embodied GHG emissions of building materials in Shanghai[J]. Carbon Footprints,2024（3）:12.
[7]	CHENG S,LIMA A T,AVNIMELECH Y,et al. Quantifying global methane emissions from pit latrines and septic tanks[J]. Environmental Science & Technology,2022,56（12）:8991-9000.
[8]	LI J,ZHANG X,GUO L,et al. Research on China's carbon footprint accounting based on a high-precision CO₂ emission inventory[J]. Sustainability,2025,17（6）:2647.
[9]	GAO H,WANG X,WU K,et al. A review of building carbon emission accounting and prediction models[J]. Buildings,2023,13（7）:1617.
[10]	WANG H,WANG H,ZHOU H,et al. Optimization modeling for smart operation of multi-source district heating with distributed variable speed pumps[J]. Energy,2017,138:1247-1262.
[11]	OLABI A G,ONAMAEGBU C,WILBERFORCE T,et al. Battery energy storage systems and SWOT（strengths,weakness,opportunities,and threats）analysis of batteries in power transmission[J]. Energy,2022,254:123987.
[12]	XU X Y,LI H B,CHEN C,et al. Research progress on methane generation and emission from urban sewage systems[J]. Environmental Engineering,2024,42（11）:29-39. 徐祥雨,李怀波,陈灿,等. 城市污水系统甲烷产生与排放研究进展[J]. 环境工程,2024,42（11）:29-39.
[13]	ZHAO X,JIN X,DU M,et al. China's urban methane emissions from municipal wastewater treatment plant[J]. Earth's Future,2019,7（4）:480-490.
[14]	WEI Y M,YU B Y,TANG B J,et al. Optimization method for China's carbon peak and carbon neutrality roadmap[J]. Journal of Beijing Institute of Technology（Social Sciences Edition）,2022,24（4）:3-12. 魏一鸣,余碧莹,唐葆君,等. 中国碳达峰碳中和路径优化方法[J]. 北京理工大学学报（社会科学版）,2022,24（4）:3-12.
[15]	WAKEEL M,CHEN B. Energy consumption for water use cycles in different countries:A review[J]. Applied Energy,2016,178:868-885.
[16]	中华人民共和国住房和城乡建设部. 城镇供热管网设计规范:CJJ 34—2022[S]. 北京:中国建筑工业出版社,2022. Ministry of Housing and Urban-Rural Development of PRC. Design code for city heating network:CJJ 34—2022[S]. Beijing:China Architecture & Building Press,2022.
[17]	Building Energy Research Center of Tsinghua University. Annual report on China building energy efficiency[M]. Beijing:China Architecture & Building Press,2023. 清华大学建筑节能研究中心. 中国建筑节能年度发展研究报告[M]. 北京:中国建筑工业出版社,2023.
[18]	中华人民共和国住房和城乡建设部. 近零能耗建筑技术标准:GB/T 51350—2019[S]. 北京:中国建筑工业出版社,2019. Ministry of Housing and Urban-Rural Development of PRC. Technical standard for nearly zero energy buildings:GB/T 51350—2019[S]. Beijing:China Architecture & Building Press,2019.
[19]	IPCC. 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories[R]. Switzerland:IPCC,2019.
[20]	SHANG H,MENG F,HOU J,et al. Methane emissions from China's waste sector:generation patterns,drivers,and mitigation potential[J]. Carbon Footprints,2025,4（4）. doi: 10.20517/cf.2025.28.
[21]	XIA Q Q,ZHENG X C,GU M,et al. Analysis of summer greenhouse gas emission characteristics of septic tanks and calculation of CH₄ emission factors[J]. Environmental Engineering,2024,42（9）:240-246. 夏琼琼,郑兴灿,顾淼,等. 化粪池夏季温室气体排放特征分析与CH₄排放因子测算[J]. 环境工程,2024,42（9）:240-246.