Gasification potential of municipal solid waste in Iran: Application of life cycle assessment, risk analysis, and machine learning

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@Article{KHOSHGOFTARMANESH:2024:jclepro,

• author = "Mohammad Hasan {Khoshgoftar Manesh} and Soheil Davadgaran and Seyed Alireza {Mousavi Rabeti}",
• title = "Gasification potential of municipal solid waste in Iran: Application of life cycle assessment, risk analysis, and machine learning",
• journal = "Journal of Cleaner Production",
• volume = "434",
• pages = "140177",
• year = "2024",
• ISSN = "0959-6526",
• DOI = "doi:10.1016/j.jclepro.2023.140177",
• URL = "https://www.sciencedirect.com/science/article/pii/S0959652623043354",
• keywords = "genetic algorithms, genetic programming, MSW management, Gasification, Water and carbon footprint, Risk analysis, Machine learning, Life cycle assessment",
• abstract = "This paper focuses on a comprehensive solution for dry municipal solid waste (MSW) management with describes the scenario of the gasification process. For this purpose, the potential of implementing the MSW gasification process in Southeast Asia (Iran) with three agents of air, steam, and air-steam is investigated. In order to manage the MSW gasification process as accurately as possible in the study area, a thermodynamic, exergy, economic, environmental, carbon footprint, water footprint, ecological emergy, and risk assessment for the three mentioned gasification agents were carried out in the most populated cities of Iran. In the capital of Iran (Tehran) with the largest population and as a result of largest MSW production, the potential of the gasification process has been investigated at different times (10 consecutive years and 12 months of a year). Finally, by combining artificial neural networks and genetic programming, comprehensive relationships have been established to predict the thermodynamic conditions of gasification with an air-steam agent. The general results of the survey indicate that gasification with air agents has good potential for most regions. The use of the steam agent has created worse economic, environmental, and risk conditions than the other two agents. Investigating the potential of the gasification process in Tehran shows that this city has a good potential to implement this process compared to other cities in Iran, and the most suitable location for establishing the gasification process is the 4th region of this city",

}

Genetic Programming entries for Mohammad Hasan Khoshgoftar Manesh Soheil Davadgaran Seyed Alireza Mousavi Rabeti

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