This work suggests an optimal strategy to sort and recycle plastic waste as a renewable energy resource with maximizing economic feasibility and mitigating environmental pollution. To derive the optimal sorting and recycling strategies of plastic waste, a novel optimization model is developed; it calculates the overall profit by subtracting the profit of recycling plastic from the total annualized cost. Then the model is used to identify the optimal strategy to sort and recycle plastic waste as a renewable energy resource in mixed-integer nonlinear programming that maximizes the overall profit. In the derived optimal sorting and recycling strategy, high-density polyethylene is recycled to produce downgrade plastic; low-density polyethylene, polypropylene, and polystyrene are recycled as pyrolysis oil; and polyethylene terephthalate is recycled to produce refuse plastic fuel. The derived optimal case can significantly increase the overall profit by about 3,137% (i.e., 35 US$/1 kg of recycled plastic), and 492% (i.e., 29 US$/1 kg of recycled plastic) compared to conventional case in South Korea and Japan respectively.
Bibliographical noteFunding Information:
This research was supported by the National Research Foundation of Korea (NRF ) grant funded by the Korea government ( MIST ) (No. 2021R1G1A1093355 ) and was supported by the Korean Institute of Industrial Technology within the framework of the following projects: “Development of the super clean modular platform technology based on AI for eco-friendly ship to respond to IMO 2020/2050 regulations [grant number EH-22-0014 ] and Development of Energy Process Optimization Platform for Carbon Neutrality [grant number IR-21-0033 ]”.
© 2022 The Authors
All Science Journal Classification (ASJC) codes
- Environmental Engineering
- Environmental Chemistry
- Chemical Engineering(all)
- Safety, Risk, Reliability and Quality