Abstract. To solve the increasingly prominent energy problem, improve the efficiency of energy utilization and reduce energy waste, the state has staged a series of policy laws and regulations to support energy conservation and environmental protection and to develop the energy services. As energy service suppliers, energy service companies mainly use Energy Performance Contracting to perform energy-saving renovation for energy-using enterprise, which can improve the energy efficiency. Research of value for energy services not only help to promote the development of energy service companies and the whole energy service industry, also help to promote energy saving and emission reduction. This paper defines the connotation of the integrated energy services and its value, and on the basis of the traditional balanced scorecard, forms a theory framework of integrated energy services value evaluation system. Finally, it establishes the integrated energy services value evaluation system containing 27 indexes from four dimensions, namely the integrated benefit, the customer cooperation ability, project internal performance and core competence.
Integrated energy system (IES) planning is a long-term and rolling decision-making process. According to System Development Theory, the development-needs at different stages are different. Therefore, an IES dynamic multi-stage planning method considering different development stages is proposed. The first step of the method is putting forward a model based on the degree of system coupling, the reserve ratio, and the penetration rate of clean energy to divide dynamic development stages. Secondly, establishing a dynamic multi-stage planning model of the IES by combining the needs of different development stages through dynamic goals and constraints. Finally, the results given by the optimal configuration of critical IES equipment will be analysed in different scenarios. Following these steps, the result shows that the dynamic multi-stage planning method proposed is able to reduce the total planning cost of the system by 14% and reducing the clean energy penetration rate by 3%. Therefore, the proposed dynamic multi-stage planning scheme is effective and economical.
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