基于既有能源管理系统的城轨车站碳核算体系构建与协同优化研究OA

Against the backdrop of the"carbon peaking and carbon neutrality"strategy,station-level energy consumption and carbon emissions in urban rail transit,which is an environmentally friendly public transportation mode characterized by large capacity and high frequency,are gaining increasing attention.To address the blind spots of carbon emission monitoring in existing energy management systems,this study proposed a progressive upgrade path:"data layer reuse,algorithm layer enhancement,and application layer iteration"and constructed a collaborative optimization system for carbon accounting and energy management through a V-model to define the system upgrade requirement matrix;a CPS integration framework of"physical layer reuse and information layer expansion"was established to lay a solid architectural foundation.A dynamic carbon emission transfer matrix was innovatively proposed,integrating three accounting paths:indirect power emissions,direct gas emissions,and invisible refrigerant emissions,to achieve comprehensive and accurate carbon emission measurement.A"four-layer two-axis"collaborative architecture was designed,and an improved multi-objective particle swarm optimization algorithm was introduced to form an efficient collaborative optimization strategy.Simulation experiments verified that the carbon-energy collaborative optimization mechanism achieved remarkable effects.The results offer a replicable and propagable technical solution for carbon-energy collaborative management in urban rail stations,contributing to the development of green urban rail and supporting the"carbon peaking and carbon neutrality"goals.