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<p>Industrial parks represent critical meso-scale units for achieving carbon peaking and carbon neutrality targets, yet existing carbon emissions accounting methods designed for macro cities level or micro building level fail to accommodate their complex systemic characteristics. This study aims to construct a carbon flow model of industrial parks that clarifies carbon emissions pathways, identifies responsible entities, and supports planning-oriented carbon reduction strategies for industrial parks.&#xa0;Drawing on carbon flow and system dynamics theories, this study constructs an integrated model of industrial parks comprising five major subsystems—residential, production, transportation, renewable energy production, and carbon sink. It then distinguishes between fundamental and dynamic factors to analyze carbon flow pathways and feedback mechanisms, and a climate-adaptive and factor-adjustable accounting module is developed, the framework of which is validated through the practical case of Shanghai Caohejing Development Park.&#xa0;As a result, this study constructs a meso-scale-oriented, refined accounting framework supporting the update of dynamic factors, with the validation showing high consistency between calculated and measured carbon emissions.&#xa0;Therefore, the proposed carbon flow modeling and carbon emissions accounting methods improves precision, accountability, and planning applicability of low-carbon industrial parks, providing a practical decision-support toolbox for low-carbon planning, construction and governance.</p>

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Research on carbon flow modeling and carbon emissions accounting methods for low-carbon industrial parks

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月19日

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  • Juan Sun,
  • Tinghai Wu

摘要

Industrial parks represent critical meso-scale units for achieving carbon peaking and carbon neutrality targets, yet existing carbon emissions accounting methods designed for macro cities level or micro building level fail to accommodate their complex systemic characteristics. This study aims to construct a carbon flow model of industrial parks that clarifies carbon emissions pathways, identifies responsible entities, and supports planning-oriented carbon reduction strategies for industrial parks. Drawing on carbon flow and system dynamics theories, this study constructs an integrated model of industrial parks comprising five major subsystems—residential, production, transportation, renewable energy production, and carbon sink. It then distinguishes between fundamental and dynamic factors to analyze carbon flow pathways and feedback mechanisms, and a climate-adaptive and factor-adjustable accounting module is developed, the framework of which is validated through the practical case of Shanghai Caohejing Development Park. As a result, this study constructs a meso-scale-oriented, refined accounting framework supporting the update of dynamic factors, with the validation showing high consistency between calculated and measured carbon emissions. Therefore, the proposed carbon flow modeling and carbon emissions accounting methods improves precision, accountability, and planning applicability of low-carbon industrial parks, providing a practical decision-support toolbox for low-carbon planning, construction and governance.