An advanced stratified decision-making strategy to explore viable plastic waste-to-energy method: A step towards sustainable dumped wastes management

Manirathinam, Thangaraj; Geetha, Selvaraj; Narayanamoorthy, Samayan; Феррара, Массимилиано; Ahmadian, Ali

doi:10.1016/j.asoc.2023.110452

Cited by 14 publications

(1 citation statement)

References 58 publications

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“…Considering limited fossil energy reserves and increasing consumption rates, relying solely on existing energy sources is no longer sustainable [4]. Converting plastic waste into non-fossil energy could offer double benefits, reducing reliance on fossil fuels while utilizing an alternative source of energy and reducing the problems caused by plastic waste [5].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Renewable Energy Supply Chain for Sustainable Hydrogen Energy Production from Plastic Waste

Doniavi,

Babazadeh,

Hasanzadeh

2023

Sustainability

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Disposing of plastic waste through burial or burning leads to air pollution issues while also contributing to gas emissions and plastic waste spreading underground into seas via springs. Henceforth, this research aims at reducing plastic waste volume while simultaneously generating clean energy. Hydrogen energy is a promising fuel source that holds great value for humanity. However, achieving clean hydrogen energy poses challenges, including high costs and complex production processes, especially on a national scale. This research focuses on Iran as a country capable of producing this energy, examining the production process along with related challenges and the general supply chain. These challenges encompass selecting appropriate raw materials based on chosen technologies, factory capacities, storage methods, and transportation flow among different provinces of the country. To deal with these challenges, a mixed-integer linear programming model is developed to optimize the hydrogen supply chain and make optimal decisions about the mentioned problems. The supply chain model estimates an average cost—IRR 4 million (approximately USD 8)—per kilogram of hydrogen energy that is available in syngas during the initial period; however, subsequent periods may see costs decrease to IRR 1 million (approximately USD 2), factoring in return-on-investment rates.

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Section: Introductionmentioning

confidence: 99%

Optimization of Renewable Energy Supply Chain for Sustainable Hydrogen Energy Production from Plastic Waste

Doniavi,

Babazadeh,

Hasanzadeh

2023

Sustainability

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Secured SDN Based Task Scheduling in Edge Computing for Smart City Health Monitoring Operation Management System

Zhang,

Tang,

Wang

et al. 2023

J Grid Computing

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Integrating stratified best–worst method and GIS for landslide susceptibility assessment: a case study in Erzurum province (Turkey)

Konurhan,

Yucesan,

Gul

2023

Environ Sci Pollut Res

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Landslides are among the most destructive geological disasters that seriously damage human life and infrastructures. Landslides mostly occur in mountainous regions around the world. One of the key processes to reduce these damages is to uncover landslide-exposed areas through different data-driven methods such as Geographical Information System (GIS) and Multi-Criteria Decision-Making (MCDM). In the literature, there are many studies developed with these fundamental tools. In this study, unlike the literature, a new landslide susceptibility assessment model is proposed by integrating GIS with the stratified best-worst method (S-BWM). This model has four main dimensions and 16 sub-dimensions under topography, environment-land, location and hydrological factors, which are weighted with the S-BWM. Considering the different states that may arise in the importance weights of these dimensions in the future, a network was created. The transition probabilities of these states were predicted and injected into the classical BWM. Then maps were created for these dimensions and classifications were made for each subdimension according to the map characteristics. Finally, the most susceptive landslide locations were determined with GIS-based calculations. To demonstrate the model's applicability, a case study was conducted for the Erzurum region, one of Turkey's landslide-prone regions. In addition, besides the landslide map, an analysis and discussion about the spatial distribution of susceptibility classes was presented, contributing to the study's robustness.

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An advanced stratified decision-making strategy to explore viable plastic waste-to-energy method: A step towards sustainable dumped wastes management

Cited by 14 publications

References 58 publications

Optimization of Renewable Energy Supply Chain for Sustainable Hydrogen Energy Production from Plastic Waste

Optimization of Renewable Energy Supply Chain for Sustainable Hydrogen Energy Production from Plastic Waste

Secured SDN Based Task Scheduling in Edge Computing for Smart City Health Monitoring Operation Management System

Integrating stratified best–worst method and GIS for landslide susceptibility assessment: a case study in Erzurum province (Turkey)

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