Document Type : Research Paper
Authors
1 PhD Student, Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 Department of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
3 Department of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Abstract
It is a necessity to use more renewable resources to produce clean energy. The purpose of this research is to design a biomass supply chain network model. It is three-level with two minimization functions in economic and bio-environmental costs. The main research gap solved in this study is the resilience of the model, which examines the disruption in the supply of raw materials with a scenario approach. The mathematical model of the research is mixed integer linear programming. To single-target the function, under uncertainty, the fuzzy TH mathematical model has been used and the validation of the model has been investigated in a real case study in Tehran province. According to the findings from the output of GEMS software, which shows the optimal economic cost equal to 791354423200 Tomans and the emission of 1420469 grams of carbon dioxide per year, the optimal mode of construction of 4 power plants in the cities of Pakdasht, Qarchak, Parand and Mallard has been proposed. The sensitivity analysis on the parameters of the TH method and on the change of biomass supply values met the expectations. As a result, the proposed model has the necessary efficiency and has been able to be optimal in terms of cost and reduce greenhouse gas emissions by combining economic and environmental approaches. Therefore, the model has the necessary resilience.
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