Providing Optimal Model for Municipal Solid Waste Management System Using Genetic Algorithm Based on Fuzzy Logic (Case Study: Tehran City)

Subject Areas : Waste Management

monireh ahani ¹ , reza arjmandi ² , hasan hoveidi ³ , Jamal Ghoddousi ⁴ , mohammad reza miri lavasani ⁵

1 - Ph.D in Environmental Management, Department of Environment Management, Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Branch, Tehran, Iran.
2 - Associate Professor, Department of Environment Management, Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Branch, Tehran, Iran *( Corresponding author).
3 - Assistant Professor, Department of Environment Management, Planning and Education, Faculty of Environment, Tehran University, Tehran, Iran.
4 - Associate Professor, Department of Environment Management, Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Branch, Tehran, Iran .
5 - Associate Professor, Department of Environment Management, Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Branch, Tehran, Iran

Received: 2017-08-14 Accepted : 2018-02-28 Published : 2021-03-21

Keywords: Municipal Solid Waste Management, Fuzzy Logic, Cost, Optimal Model, Genetic algorithm,

Abstract :

Background and Purpose: In recent years, a variety of models have been used to evaluate the waste management systems in Tehran in order to select the best waste management options. But the problem of the final disposal of waste in Tehran is still one of the issues related to the environmental management of the metropolis. The purpose of this study is to provide one model for allocating optimal annual quantities of waste to waste management subsystems of Tehran in order to achieve the highest efficiency, reduce costs and increase system revenue.Materials and Methods: In this research, first by referring to the Arad Kooh complex in Tehran and interviewing with experts and using the information recorded in this complex, the required data was collected. Then, an optimal model proposed for allocating optimal annual amount of municipal waste with considering all of limitations to 5 sub-systems of recycling, aerobic compost, anaerobic digestion, incinerator , landfill using genetic algorithm improved by fuzzy logic with the aim of reducing the total cost of the municipal waste management system in the MATLAB environment and its results were analyzed.Findings: The significant results showed with increasing capacity the subsystems with lower cost and more profitability, the system will not necessarily seek to be optimized and optimal amount of waste allocated to each of the subsystems such as recycling, aerobic compost, anaerobic digestion, incinerator and landfill were estimated about 750,000, 960000, 182000, 325000, 780000 tons in each year, respectively.Discussion and Conclusion: According to the results of the optimal model proposed in this study, it is necessary to carefully follow the flow and optimal allocation of waste from the annual production of Tehran to each of the following subsystems: recycling, aerobic compost, anaerobic digestion, incinerator and landfill in order to achieve the high annual efficiency for municipal solid waste management system in Tehran city.

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