Carbon Emission Reduction Potential Assessment of Integrated Energy System Considering Energy Storge Effect

With the proposal of “double carbon” goal, integrated energy system (IES) is poised to become the main trend of energy utilization. To assess the reduction potential of carbon emission volume of IES incorporating energy storage, this paper introduces a methodology for evaluating the reduction potential of carbon emission volume, taking into account the influencing factors on carbon emissions. Initially, the model for IES is developed. Subsequently, a combination of the Analytic Hierarchy Process (AHP) and the entropy weight method is applied to subjectively and objectively analyze and filter the key factors influencing carbon emissions. Ultimately, an enhanced grey wolf algorithm is applied to compare the operational costs and carbon emissions across various operational scenarios. The results demonstrate that the model can realize economical operation. Simultaneously, the carbon emission of system with or without energy storage are compared. The findings suggest that the IES, taking energy storage into account, possesses a more significant potential for reducing carbon emission volume.