期刊
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
卷 48, 期 6, 页码 2145-2160出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2022.10.101
关键词
MCDM; Sensitivity analysis; Gasification; Plastic waste; TOPSIS
Gasification process of polyethylene waste was studied using a co-gasification method and hybrid multi-criteria decision-making techniques. Parametric study was conducted to investigate the interaction effects of gasification parameters. The TOPSIS and VIKOR methods were used for alternative ranking based on five criteria, and the L0H100 alternative was found to be the best choice in most cases.
Gasification process is an efficient thermochemical disposal technique and is growing fast in the plastic waste field, nowadays. Co-gasification of low-density and high-density poly-ethylene waste with different composition ratios was developed in this study and subjected to a hybrid multi-criteria decision-making (MCDM) techniques after validation by comparing with experimental data. A comprehensive parametric study was conducted by considering interaction effects of gasification parameters on the outputs. The MCDM problem involved eleven alternatives and five energy, environmental and economic criteria of gasification performance indicators including hydrogen production, energy efficiency, carbon dioxide emission, heating value of syngas and purchasing cost. The criteria weighting was per-formed using analytical hierarchy process, Shannon entropy technique and their composite weighting method. TOPSIS and VIKOR techniques were coupled by criteria weighting methods for alternative ranking. L0H100 alternative, i.e. composition of 0 wt% of low-density polyethylene waste and 100 wt% of high-density polyethylene waste, was the best alterna-tive in almost all cases. This alternative had the minimum CO2 emission of 4.98 g/mol, the minimum purchasing cost of 0.96 $/kg and led to the maximum heating value of 126.8 kJ/mol. The findings revealed that VIKOR technique was sensitive to the criteria weights; however, TOPSIS method was independent from the changing the criteria weights. (c) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
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