Optimal strategy to sort plastic waste considering economic feasibility to increase recycling efficiency

Jonghun Lim; Yuchan Ahn; Hyungtae Cho; Junghwan Kim

doi:10.1016/j.psep.2022.07.022

Optimal strategy to sort plastic waste considering economic feasibility to increase recycling efficiency

Jonghun Lim, Yuchan Ahn, Hyungtae Cho, Junghwan Kim

Department of Chemical and Biomolecular Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

In this study, we suggested an optimal strategy to sort plastic waste to improve recycling efficiency considering economic feasibility. To derive the optimal sorting strategy, we developed a novel optimization model that considers the overall cost, which is sorting cost minus the revenue obtained by selling the recycling plastic from the sorting cost. Then we used the developed model to identify the optimal strategy to sort plastic waste in mixed-integer programming that minimizes the overall cost of plastic waste sorting systems. We also conducted a sensitivity analysis to analyze the extent to which the results obtained can change under different conditions. The optimization results, identify that the plastics in the optimal sorting strategy are of four types: LDPE, HDPE, PP, and PVC. This optimal sorting strategy increase the overall sorting efficiency slightly by 4 wt%, but considering the revenue obtained by selling the recycled plastic the strategy significantly decreased the overall sorting cost by 69.28 % compared to the conventional case. The developed model can determine the optimal strategy to sort plastic waste considering economic improvement. Therefore, the results allow increase in plastic recycling by minimizing the overall cost of the sorting system.

Original language	English
Pages (from-to)	420-430
Number of pages	11
Journal	Process Safety and Environmental Protection
Volume	165
DOIs	https://doi.org/10.1016/j.psep.2022.07.022
Publication status	Published - 2022 Sept

Bibliographical note

Funding Information:
This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government ( MIST ) (No. 2021R1G1A1093355 ) and Korean Institute of Industrial Technology within the framework of the “ Development of Global Optimization System for Energy Process ” project [grant numbers UR-22-0031, IR-21-0040, IZ-22-0049 ] and the “ Industry 4.0 application of SME for energy efficiency ” project [grant numbers IR-22-0041, IZ-22-0051, UR-22-0030 ].

Publisher Copyright:
© 2022 The Authors

All Science Journal Classification (ASJC) codes

Environmental Engineering
Environmental Chemistry
Chemical Engineering(all)
Safety, Risk, Reliability and Quality

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10.1016/j.psep.2022.07.022

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abstract = "In this study, we suggested an optimal strategy to sort plastic waste to improve recycling efficiency considering economic feasibility. To derive the optimal sorting strategy, we developed a novel optimization model that considers the overall cost, which is sorting cost minus the revenue obtained by selling the recycling plastic from the sorting cost. Then we used the developed model to identify the optimal strategy to sort plastic waste in mixed-integer programming that minimizes the overall cost of plastic waste sorting systems. We also conducted a sensitivity analysis to analyze the extent to which the results obtained can change under different conditions. The optimization results, identify that the plastics in the optimal sorting strategy are of four types: LDPE, HDPE, PP, and PVC. This optimal sorting strategy increase the overall sorting efficiency slightly by 4 wt%, but considering the revenue obtained by selling the recycled plastic the strategy significantly decreased the overall sorting cost by 69.28 % compared to the conventional case. The developed model can determine the optimal strategy to sort plastic waste considering economic improvement. Therefore, the results allow increase in plastic recycling by minimizing the overall cost of the sorting system.",

author = "Jonghun Lim and Yuchan Ahn and Hyungtae Cho and Junghwan Kim",

note = "Funding Information: This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government ( MIST ) (No. 2021R1G1A1093355 ) and Korean Institute of Industrial Technology within the framework of the “ Development of Global Optimization System for Energy Process ” project [grant numbers UR-22-0031, IR-21-0040, IZ-22-0049 ] and the “ Industry 4.0 application of SME for energy efficiency ” project [grant numbers IR-22-0041, IZ-22-0051, UR-22-0030 ]. Publisher Copyright: {\textcopyright} 2022 The Authors",

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AU - Lim, Jonghun

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AU - Cho, Hyungtae

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N1 - Funding Information: This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government ( MIST ) (No. 2021R1G1A1093355 ) and Korean Institute of Industrial Technology within the framework of the “ Development of Global Optimization System for Energy Process ” project [grant numbers UR-22-0031, IR-21-0040, IZ-22-0049 ] and the “ Industry 4.0 application of SME for energy efficiency ” project [grant numbers IR-22-0041, IZ-22-0051, UR-22-0030 ]. Publisher Copyright: © 2022 The Authors

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N2 - In this study, we suggested an optimal strategy to sort plastic waste to improve recycling efficiency considering economic feasibility. To derive the optimal sorting strategy, we developed a novel optimization model that considers the overall cost, which is sorting cost minus the revenue obtained by selling the recycling plastic from the sorting cost. Then we used the developed model to identify the optimal strategy to sort plastic waste in mixed-integer programming that minimizes the overall cost of plastic waste sorting systems. We also conducted a sensitivity analysis to analyze the extent to which the results obtained can change under different conditions. The optimization results, identify that the plastics in the optimal sorting strategy are of four types: LDPE, HDPE, PP, and PVC. This optimal sorting strategy increase the overall sorting efficiency slightly by 4 wt%, but considering the revenue obtained by selling the recycled plastic the strategy significantly decreased the overall sorting cost by 69.28 % compared to the conventional case. The developed model can determine the optimal strategy to sort plastic waste considering economic improvement. Therefore, the results allow increase in plastic recycling by minimizing the overall cost of the sorting system.

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Optimal strategy to sort plastic waste considering economic feasibility to increase recycling efficiency

Abstract

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