Symbiotic fitness assessment for the "Resource-Project-Demand" chain of integrated energy system in industrial park

The emergence of Integrated Energy Systems (IES) offers a promising solution for low-carbon transformation and enhancing energy efficiency in industrial park energy systems. Grounded in symbiosis theory, this study evaluates the symbiotic fitness status of three functional components ("resource-project-demand" chain) within IES in industrial parks (IES-IP). We establish a symbiotic fitness evaluation framework centered on key symbiotic parameters and develop a corresponding model to analyze five case studies. Comparative analysis of cumulative absolute relative deviations reveals that the weighting method incorporating moment estimation theory demonstrates superior performance among combined weighting approaches. The most influential criteria are found to be renewable energy resource potential (resource side), effective clean energy utilization rate (project side), and industrial-commercial electricity price peak-valley differentials (demand side). All five cases exhibit symbiotic fitness degrees surpassing the baseline threshold (point symbiosis, extremely unfit), though remaining below the optimal level (integrated symbiosis, perfectly fit). The obstacle degree model combined with symbiotic fitness coefficient analysis provides actionable insights for system optimization.