Comprehensive evaluation of medical waste gasification low-carbon multi-generation system based on AHP–EWM–GFCE method

Mengdi Kong, Xuemin Ye, Di Liu and Chunxi Li

Energy, 2024, vol. 296, issue C

Abstract: To promote the reutilization rate of solid waste and to achieve a more efficient and ecologically-friendly integrated energy system, four novel medical waste gasification low-carbon multi-generation systems are proposed by coupling SOFC and MGT power generation units respectively. A comprehensive evaluation model is established to compare the performance of schemes. Thirteen evaluation indicators are identified when considering the performance in economy, environment and energy. Combining the subjective suggestion in the analytic hierarchy process (AHP) and the objective information in the entropy weight method (EWM), the weights of these indicators are determined. According to the gray fuzzy comprehensive evaluation (GFCE) method, a comprehensive evaluation index is estimated to evaluate each system. The results show that SOFC schemes present high comprehensive indexes and scheme 4 is highlighted with the largest gray correlation degree of 0.826. The OC schemes outperform the MEA capture schemes for the same power generation units. The sensitivity analysis of the weights indicators that the results calculated by the combination weights are more informative. In addition, comparison of the traditional evaluation model and the " AHP–EWM–GFCE ″ model shows that the present method proposed in this study is more intuitive to evaluate the advancement of systems.

Keywords: Medical waste gasification (MWG); Combined cooling heating and power (CCHP); Analytic hierarchy process (AHP); Entropy weight method (EWM); Gray fuzzy comprehensive evaluation (GFCE) (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:296:y:2024:i:c:s0360544224009344

DOI: 10.1016/j.energy.2024.131161

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