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A fuzzy hybrid approach for ranking and allocation of flare gas recovery methods: A case study of refineries in Iran

Negar Shaaban (Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran)
Majid Nojavan (Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran)
Davood Mohammaditabar (Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran)

Kybernetes

ISSN: 0368-492X

Article publication date: 16 August 2019

Abstract

Purpose

The purpose of this paper is to investigate a fuzzy hybrid approach for ranking the flare gas recovery methods and allocating to refineries.

Design/methodology/approach

The proposed approach is containing four stages: in the first stage, experts' assessment is applied to identify relevant criteria and sub-criteria in the evaluation of flare gas recovery methods. In the second stage, the corresponding weights of criteria and sub-criteria are determined via fuzzy decision-making trial and evaluation (DEMATEL)-analytical network process (ANP) (DANP) method. In the third stage, the flare gas recovery methods are ranked using fuzzy weighted aggregated sum product assessment method (WASPAS) multi-criteria decision-making (MADM) technique. In the fourth stage, an optimization model is developed to allocate gas recovery methods to refineries while maximizing the total utility of allocations based on model constraints.

Findings

According to the results of fuzzy DANP method, technical and operational criterion was the most important followed by economic, political, managerial and environmental criteria. With respect to sub-criteria, international sanctions and political stability were the most important. The results of fuzzy WASPAS method indicated that gas injection was the first ranked alternative. Finally, the mathematical modeling allocated the recovery methods to five refineries of South Pars gas field in Iran based on budget and time constraints.

Originality/value

The proposed approach provides a systematic tool in the selection of flare recovery methods and allocation to refineries. This approach uses a new combination of fuzzy DEMATEL-ANP (DANP) method, fuzzy WASPAS method and mathematical programming. The approach is effectively implemented in a case study for ranking the flare gas recovery methods and allocating to refineries of South Pars gas field in Iran.

Keywords

Citation

Shaaban, N., Nojavan, M. and Mohammaditabar, D. (2019), "A fuzzy hybrid approach for ranking and allocation of flare gas recovery methods: A case study of refineries in Iran", Kybernetes, Vol. 49 No. 4, pp. 1103-1126. https://doi.org/10.1108/K-10-2018-0534

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited