MULTI-OBJECTIVE OPTIMIZATION AND IMPROVED SUBJECTIVE-OBJECTIVE EVALUATION FOR REGIONAL INTEGRATED ENERGY SYSTEMS
Taking the regional integrated energy system as the research object,the study firstly conducts an optimization strategy analysis.Then,a multi-objective optimization is carried out,specifically targeting energy efficiency,economy,and environment.Subsequently,using an improved BWM method(HWBM)combined with the entropy weight method,an objective-subjective weight evaluation system is established,leading to the determination of an optimal system configuration and operational planning.Findings reveal that the design strategy effectively addresses the multi-energy coordination issue.Compared to the traditional combined cooling,heating,and power system,the optimal system achieves a 14.9% reduction in fossil fuel consumption,8.9% in annual investment costs,4.7% in energy costs per degree,14.9% in carbon emissions,and 18.1% in water consumption.The outcomes emphasize the notable advantages in energy,economy,and environmental protection.
regional integrated energy systemsmulti-objective optimizationhesitant evaluationsubjective and objective weighting method
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