Research on Measuring Industrial Carbon Dioxide Emissions by Mobile Differential Absorption Lidar
モバイル差分吸収ライダーによる産業二酸化炭素排出量の測定に関する研究 (AI 翻訳)
Jinliang Zang, Liang Wu, Wanglong Shi, Hongjun Wang, Menghui Wu, Hong Lin
🤖 gxceed AI 要約
日本語
本研究は、モバイル差分吸収ライダー（DIAL）システムによる産業CO2排出の遠隔測定能力を実証した。煙突内のCEMSデータと排出係数法による検証の結果、DIALとCEMSの相対偏差は±6%以内であり、排出係数法はDIALより一貫して高い推定値を示した。また、異なる排出強度の三つの産業シナリオで適応性が確認され、高時空間分解能でのCO2排出測定の実現可能性と信頼性が示された。
English
This study demonstrates the capability of a mobile Differential Absorption Lidar (DIAL) system for remote measurement of industrial CO2 emissions. Cross-validation with CEMS data showed relative deviations within ±6%, while the emission factor method consistently overestimated. The system was tested in three industrial scenarios, showing adaptability and potential for high spatio-temporal resolution monitoring.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では、産業界のCO2排出削減目標達成に向けた正確な排出モニタリングが求められている。本技術は日本の工場等での直接測定に応用可能であり、従来の排出係数法に代わる高精度な手法として、排出量取引や報告制度の信頼性向上に貢献しうる。
In the global GX context
Globally, direct emission monitoring is critical for carbon markets and regulatory compliance. This DIAL technology offers a more accurate alternative to emission factor methods, supporting high-resolution verification of industrial CO2 emissions, which aligns with the needs of frameworks like the EU ETS and California's cap-and-trade.
👥 読者別の含意
🔬研究者:This paper provides a validated method for remote CO2 plume imaging and emission rate quantification, useful for developing next-generation monitoring technologies.
🏢実務担当者:Industrial facilities can use this mobile DIAL system to directly measure and verify their CO2 emissions, improving accuracy over traditional calculation methods.
🏛政策担当者:This technology could be adopted to enhance the precision of national emissions inventories and support compliance with climate regulations.
📄 Abstract（原文）
Industrial activities represent the primary source of anthropogenic carbon dioxide (CO2) emissions, and accurate monitoring of industrial CO2 emissions is critical to mitigating greenhouse gas emissions. Due to the lack of quantifiable and direct measurement technologies, industrial CO2 emissions are typically calculated based on fuel combustion consumption and emission factors. However, the calculation method is not applicable to the quantification of fugitive emissions of CO2. This work demonstrates the capability of remotely measuring industrial CO2 emissions by mobile Differential Absorption Lidar (DIAL) system. The two-dimensional concentration distributions of the CO2 plume were remotely measured using DIAL system, and the CO2 emission rate was obtained with wind field information. The DIAL measurements were cross-validated using in-stack CEMS data and emission-factor calculations. Results show that the relative deviations of CO2 emission rates between DIAL and CEMS range from −5.83% to +2.57% across four tests, all within ±6%, and the coefficient of variation (CV) of 27 valid datasets is 7.24%. In contrast, the emission factor method yields consistently higher estimates, with relative deviations of +4.61% compared to DIAL measurements. Furthermore, the mobile DIAL system was deployed in three industrial scenarios with different emission intensities: a natural gas-fired industrial park, a photovoltaic glass manufacturing plant (low-emission steady-state), and a coal-fired power plant (high-emission dynamic), demonstrating its preliminary adaptability under different operating conditions. This study indicates the feasibility and potential reliability of the mobile DIAL system for high spatio-temporal resolution remote measurement of industrial CO2 emissions.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.3390/app16094576first seen 2026-05-14 23:10:11
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