Environmental Research Letters (Jan 2023)

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

  • Tianqi Shi,
  • Ge Han,
  • Xin Ma,
  • Huiqin Mao,
  • Cuihong Chen,
  • Zeyu Han,
  • Zhipeng Pei,
  • Haowei Zhang,
  • Siwei Li,
  • Wei Gong

DOI
https://doi.org/10.1088/1748-9326/acbce7
Journal volume & issue
Vol. 18, no. 3
p. 034028

Abstract

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Development of the measurement-based carbon accounting means is of great importance to supplement the traditional inventory compilation. Mobile CO _2 /CH _4 measurement provides a flexible way to inspect plant-scale CO _2 /CH _4 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 CO _2 /CH _4 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.

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