Abstract
Under the dual pressure of global energy demand and environmental protection, integrated energy systems (IES) emerged as the times require. IES is an important form of realizing the synergistic development, complementarity and energy cascade utilization among multiple heterogeneous energy subsystems, and is of great significance to achieve the emission reduction goal of “carbon peak, carbon neutral”. In this paper, cluster analysis and correlation coefficient analysis were used to screen the IES indexes, and an evaluation system containing 12 indexes was established from four dimensions of comprehensive energy efficiency, low carbon and environmental protection, energy supply reliability and economy. Taking the IES of an industrial park in a city as an example, three scenarios are set. Analytic hierarchy process-entropy weight method was used to calculate weight of each index, the minimum Euclidean distance is used to establish the comprehensive weight model, and the optimal comprehensive index weight is obtained by nonlinear programming solution. This paper analyzed the comprehensive benefit evaluation of different scenarios by using the comprehensive weight of each index to calculate comprehensive scores of the system, while the rationality of the proposed evaluation index system and the effectiveness of the evaluation method are verified.
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