Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 157914 - 157914
Published: Nov. 1, 2024
Language: Английский
Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 157914 - 157914
Published: Nov. 1, 2024
Language: Английский
ACS Sustainable Chemistry & Engineering, Journal Year: 2024, Volume and Issue: 12(23), P. 8642 - 8661
Published: May 31, 2024
The escalating levels of plastic waste have created an urgent need for sustainable recycling methods aligned with the circular economy (CE) goals. Leveraging process systems engineering (PSE) models, which facilitate sustainability-driven problem-solving, this work proposes a comprehensive mathematical framework optimizing diverse technologies─pyrolysis, gasification, mechanical recycling, and incineration─balancing economic feasibility CE contributions. Recognizing versatility chemical derivatives, model explores their applications in methanol ammonia synthesis, hydrogen production, more, emphasizing waste's potential to yield energy valuable products through open- closed-loop pathways. A novel metric was introduced assess pathways across critical indicators. An illustrative case study 20 scenarios highlights pyrolysis refinery technology as promising fuel olefin tripling profitability, improving circularity by over 25%. Combining synthesis maximizes 44% enhancement. flexible weight allocation individual metrics during optimization emphasis on tailored solutions system-specific needs. Comparative analyses between conventional feedstocks unveil cost-effective landscape that is dependent product. Capacity-level sensitivity analysis consistently demonstrates superior performance optimal compared base regarding profitability.
Language: Английский
Citations
2Computer Physics Communications, Journal Year: 2023, Volume and Issue: 291, P. 108830 - 108830
Published: June 22, 2023
Since many future energy technologies, such as power generation with carbon-free hydrogen, biogas, and carbon capture, require sophisticated gas separation processes, studies have investigated pressure swing adsorption (PSA) processes due to their low cost good efficiency. In the investigation of PSA process simulations based on commercial software tools in-house models been conducted different approaches. Although these approaches simulation performances in particular cases, use is limited owing certain drawbacks. The primary drawbacks include high barriers entry because need for excessive prior knowledge non-compatibility other tools. Thus, this study, an open-source python-based evaluation package (pyAPEP) was proposed process. pyAPEP comprises three modules: , . module determines optimal isotherm from given equilibrium data. are modules ideal actual simulations, respectively, they help users perform easily using simple knowledge. This study also introduces theories methods package, it summarizes example codes each module. Finally, applicability demonstrated through practical problems. Source code: https://github.com/sebygaa/pyAPEP or https://github.com/NahyeonAn/pyAPEP Documentation: https://sebygaa.github.io/pyAPEP https://nahyeonan.github.io/pyAPEP
Language: Английский
Citations
4Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 474, P. 143614 - 143614
Published: Sept. 10, 2024
Language: Английский
Citations
1Journal of Contaminant Hydrology, Journal Year: 2024, Volume and Issue: 267, P. 104449 - 104449
Published: Oct. 25, 2024
Language: Английский
Citations
1Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 157914 - 157914
Published: Nov. 1, 2024
Language: Английский
Citations
1