Biodegradable waste to renewable energy conversion under a sustainable energy supply chain management

Mitali Sarkar; Yong Won Seo; Mitali Sarkar; Yong Won Seo

doi:10.3934/mbe.2023302

Mathematical Biosciences and Engineering

2023, Volume 20, Issue 4: 6993-7019. doi: 10.3934/mbe.2023302

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Biodegradable waste to renewable energy conversion under a sustainable energy supply chain management

Mitali Sarkar ¹,
Yong Won Seo ^{2
,
,}

1.
Department of Industrial and Management Engineering, Pohang University of Science and Technology, 77, Cheongam-ro, Nam-gu, Gyeongsangbuk-do, Pohang 37673, South Korea
2.
Department of Business Administration, College of Business and Economics, Chung-Ang University, Seoul 06974, South Korea

Academic Editor: Biswajit Sarkar

Received: 10 October 2022 Revised: 05 January 2023 Accepted: 05 January 2023 Published: 09 February 2023

Effective surveillance during smart cities' sustainable development allows their cleanliness to be maintained by reusing waste to produce renewable energy. This study quantifies the biodegradable waste generated in specific regions of several cities and presents ways to convert it into renewable energy. This energy can then be used to partially support regional energy demands. This study explores ways of reducing carbon emissions for biodegradable waste collection processes in regional centers, ultimately sending the biodegradable waste to the energy conversion center. The smart production system allows for the flexible production and autonomation of rates of conversion; green technology depends on each regional center's research management, which is a decision variable for reducing carbon emissions. The major contribution of this study is to consider an energy supply chain management with flexibility of energy conversion under the reduction of carbon emissions, which leads to a sustainable ESCM with the global maximum profit. This study uses mathematical modeling to decrease biodegradable waste with conversion of energy through a classical optimization technique. The solution to this mathematical model yielded significant results, providing insight into waste reduction, reduced carbon emissions and the conversion of biodegradable waste to energy. The model is examined using numerical experiments, and its conclusion supports the model with the fundamental assumptions. Results of sensitivity analysis provide insight into the reduction and re-utilization of wastes, carbon emission reduction, and the benefits of using renewable energy.
- renewable energy,
- sustainability,
- waste reduction,
- flexible production,
- carbon emission
Citation: Mitali Sarkar, Yong Won Seo. Biodegradable waste to renewable energy conversion under a sustainable energy supply chain management[J]. Mathematical Biosciences and Engineering, 2023, 20(4): 6993-7019. doi: 10.3934/mbe.2023302

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Abstract

Effective surveillance during smart cities' sustainable development allows their cleanliness to be maintained by reusing waste to produce renewable energy. This study quantifies the biodegradable waste generated in specific regions of several cities and presents ways to convert it into renewable energy. This energy can then be used to partially support regional energy demands. This study explores ways of reducing carbon emissions for biodegradable waste collection processes in regional centers, ultimately sending the biodegradable waste to the energy conversion center. The smart production system allows for the flexible production and autonomation of rates of conversion; green technology depends on each regional center's research management, which is a decision variable for reducing carbon emissions. The major contribution of this study is to consider an energy supply chain management with flexibility of energy conversion under the reduction of carbon emissions, which leads to a sustainable ESCM with the global maximum profit. This study uses mathematical modeling to decrease biodegradable waste with conversion of energy through a classical optimization technique. The solution to this mathematical model yielded significant results, providing insight into waste reduction, reduced carbon emissions and the conversion of biodegradable waste to energy. The model is examined using numerical experiments, and its conclusion supports the model with the fundamental assumptions. Results of sensitivity analysis provide insight into the reduction and re-utilization of wastes, carbon emission reduction, and the benefits of using renewable energy.

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