Research on Monthly Carbon Emission Monitoring Methods and Carbon Reduction Pathways in Industrial Parks
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Submission ID：61 View Protection：ATTENDEE
Updated Time：2025-11-07 09:32:23
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Oral Presentation
Start Time：2025-11-09 09:00 （Asia/Shanghai）
Duration：15min
Session：[S1] 1. Renewable energy system » [S1] 1.Renewable energy system
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Abstract
Accurate monitoring of carbon emissions in industrial parks is essential for achieving China’s “dual carbon” goals. Traditional methods, however, are limited by data lag and static emission factors, failing to support dynamic carbon management. This study integrates 52 months of multi-dimensional data—including electricity consumption, meteorological conditions, and production indicators—from a zero-carbon industrial park in Yunnan Province from 2021 to 2025. This Paper construct a feature engineering system incorporating temporal, lagged, and interaction terms. Using time-series cross-validation and the LightGBM algorithm, and establish a dynamic “electricity-energy-carbon” monitoring framework. This enables real-time carbon tracking through adaptive factor calibration and quantifies emission reduction benefits via a multi-objective optimization model. Our approach reveals synergies between production optimization and energy transition, offering a reusable, standardized monitoring process to support low-carbon transformation in industrial parks.
Keywords
Industrial parks,Emission reduction pathways,LightGBM model,Carbon emission monitoring,Carbon emission management
Speaker
Liu Liangwei
Sichuan Energy Internet Research Institute Tsinghua University 
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