Sustainable Multi-Objective Models for Waste-to-Energy and Waste Separation Site Selection

In the past, the Iranian government has excessively relied on fossil fuels, gas, and oil resources, leading to energy-related issues and increasing power outages in the provinces during peak seasons. One of the best opportunities for energy production in Iran is through the establishment of bio-meth...

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Bibliographic Details
Published in:Sustainability 2023-11, Vol.15 (22), p.15764
Main Authors: Taghipour, Atour, Foukolaei, Parvaneh Zeraati, Ghaedi, Maryam, Khazaei, Moein
Format: Article
Language:English
Subjects:
Air pollution
Alternative energy sources
Analysis
Circular economy
Decision making
Energy industry
Energy management systems
Energy minerals
Energy resources
Fossil fuels
Hydrogen
Hydrogen as fuel
Industrial locations
Industrial wastes
Infrastructure
Iran
Literature reviews
Mathematical models
Methane
Municipal solid waste
Natural resources
Outdoor air quality
Power failure
Provinces
Renewable resources
Sustainability
Waste management
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Summary:In the past, the Iranian government has excessively relied on fossil fuels, gas, and oil resources, leading to energy-related issues and increasing power outages in the provinces during peak seasons. One of the best opportunities for energy production in Iran is through the establishment of bio-methane and waste-based energy parks. This research aims to determine the optimal locations for waste sorting centers and the establishment of waste-to-energy plants. The coexistence and interaction of these two facilities will enhance system efficiency. To achieve this goal, two mathematical models, with three objectives, have been designed. The static allocation model assigns each industrial park to a waste sorting center, while the dynamic allocation model selects the shortest route from the industrial park to the waste-to-energy center. The first objective is to minimize establishment costs, while the second and third objectives aim to reduce the system’s waiting costs. Waiting for waste shipments leads to pollution, and the desirability and route length can increase the likelihood of organic pollution. Therefore, this research seeks to minimize these factors. The model results indicate that the sorting and energy production centers have been selected to incur the lowest establishment, transportation, and waiting costs. Additionally, the sensitivity analysis section of the model reveals the impact of coefficient changes on the model’s results.
ISSN:2071-1050
2071-1050
DOI:10.3390/su152215764