Quantifying factory-scale CO2/CH4 emission based on mobile measurements and EMISSION-PARTITION model: cases in China

Development of the measurement-based carbon accounting means is of great importance to supplement the traditional inventory compilation. Mobile CO2/CH4 measurement provides a flexible way to inspect plant-scale CO2/CH4 emissions without the need to notify factories. In 2021, our team used a vehicle-...

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Published inEnvironmental research letters Vol. 18; no. 3; pp. 034028 - 34039
Main Authors Shi, Tianqi, Han, Ge, Ma, Xin, Mao, Huiqin, Chen, Cuihong, Han, Zeyu, Pei, Zhipeng, Zhang, Haowei, Li, Siwei, Gong, Wei
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.03.2023
Subjects
Algorithms
Carbon dioxide
Carbon footprint
CO2/CH4 emission
Emission analysis
Emission measurements
EMISSION-PARTITION
Emissions
Environmental accounting
Factories
factory-scale
Greenhouse gases
Incineration
Incineration plants
Industrial parks
Industrial plants
Methane
Particle swarm optimization
Penalty function
Performance evaluation
Sustainability reporting
vehicle-based monitor
Waste disposal
China
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ISSN1748-9326
1748-9326
DOI10.1088/1748-9326/acbce7

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Summary:Development of the measurement-based carbon accounting means is of great importance to supplement the traditional inventory compilation. Mobile CO2/CH4 measurement provides a flexible way to inspect plant-scale CO2/CH4 emissions without the need to notify factories. In 2021, our team used a vehicle-based monitor system to conduct field campaigns in two cities and one industrial park in China, totaling 1143 km. Furthermore, we designed a model based on sample concentrations to evaluate CO2/CH4 emissions, EMISSION-PARTITION, which can be used to determine global optimal emission intensity and related dispersion parameters via intelligent algorithm (particle swarm optimization) and interior point penalty function. We evaluated the performance of EMISSION-PARTITION in chemical, coal washing, and waste incineration plants. The correlations between measured samples and rebuilt simulated ones were larger than 0.76, and RMSE was less than 11.7 mg m−3, even with much fewer samples (25). This study demonstrated the wide applications of a vehicle-based monitoring system in detecting greenhouse gas emission sources.
Bibliography:ERL-115014.R2
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ISSN:1748-9326
1748-9326
DOI:10.1088/1748-9326/acbce7