Online monitoring of water heating carbon emissions in office building based on carbon emission coefficient method

The high probability of distortion and misstatement of carbon emission data of office building water heating leads to the influence of abnormal outlier activity data and carbon emission factors in the long-period monitoring process, resulting in hysteresis of monitoring effect and large monitoring errors. For this reason, an online monitoring method of water and electric carbon emissions of office building based on carbon emission coefficient method is designed. Combined with the energy consumption calculation method based on branch, a system level energy efficiency evaluation model is constructed. Calculate the total life cycle carbon emissions of the office building, based on the carbon emission coefficient method, through real-time monitoring of activity data and carbon emission factors, energy consumption data into carbon emission data in real time. Combining activity data and carbon emission factors, a mathematical model for continuous online monitoring of carbon dioxide emissions was established, and carbon dioxide emissions were calculated by measuring flue gas parameters in carbon emission data. The experimental results show that the carbon emission of the design method maintains a growth rate of $6.47 \%$, the carbon emission monitoring efficiency is high, and the error between the monitoring result and the real value of carbon dioxide emission concentration is within 50ppm.

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Published
2025-05-09
DOI
https://doi.org/10.1109/net-lc65482.2025.11071057
Citations
1
Primary Topic
Air Quality Monitoring and Forecasting
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article
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0.80
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article

Online monitoring of water heating carbon emissions in office building based on carbon emission coefficient method

Huidong Li
1 citations
Air Quality Monitoring and Forecasting
0.80
article

Online monitoring of water heating carbon emissions in office building based on carbon emission coefficient method

Huidong Li
article en
1 citations

Abstract

The high probability of distortion and misstatement of carbon emission data of office building water heating leads to the influence of abnormal outlier activity data and carbon emission factors in the long-period monitoring process, resulting in hysteresis of monitoring effect and large monitoring errors. For this reason, an online monitoring method of water and electric carbon emissions of office building based on carbon emission coefficient method is designed. Combined with the energy consumption calculation method based on branch, a system level energy efficiency evaluation model is constructed. Calculate the total life cycle carbon emissions of the office building, based on the carbon emission coefficient method, through real-time monitoring of activity data and carbon emission factors, energy consumption data into carbon emission data in real time. Combining activity data and carbon emission factors, a mathematical model for continuous online monitoring of carbon dioxide emissions was established, and carbon dioxide emissions were calculated by measuring flue gas parameters in carbon emission data. The experimental results show that the carbon emission of the design method maintains a growth rate of $6.47 \%$, the carbon emission monitoring efficiency is high, and the error between the monitoring result and the real value of carbon dioxide emission concentration is within 50ppm.

Hongzhiwei Technology (China) (CN)
Openalex Percentile: Top 27%
Air Quality Monitoring and Forecasting
0.80
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Online monitoring of water heating carbon emissions in office building based on carbon emission coefficient method — Huidong Li · (2025) | TGRS Research Map | TGRS