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Parisa Mojaver

Parisa Mojaver

Academic rank: Assistant Professor
ORCID: 0000-0003-1503-1769
Education: PhD.
ScopusId:
HIndex: 0/00
Faculty: Faculty of Engineering
Address: -
Phone: -

Research

Title
Air co-gasification process of LDPE/HDPE waste based on thermodynamic modeling: Hybrid multi-criteria decision-making techniques with sensitivity analysis
Type
JournalPaper
Keywords
MCDM, Sensitivity analysis, Gasification, Plastic waste ,TOPSIS
Year
2023
Journal International Journal of Hydrogen Energy
DOI
Researchers Rezgar Hasanzadeh ، Parisa Mojaver ، Shahram Khalilarya ، Taher Azdast

Abstract

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 polyethylene 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 performed 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 alternative 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.