| 학회 | 한국공업화학회 |
| 학술대회 | 2022년 봄 (05/11 ~ 05/13, 제주국제컨벤션센터(ICC JEJU)) |
| 권호 | 26권 1호 |
| 발표분야 | [특별세션] 탄소중립지향 이산화탄소 기반 화학산업을 위한 기술(CtoX 기술개발연구단) |
| 제목 | Superstructure-based identification of optimal carbon capture and utilization pathways using state-equipment network representation |
| 초록 | Deployments of CCU technologies have been limited due to their low TRLs leading to high levels of uncertainties on theireconomics and CO2 reduction potential. For the identification of optimal CCU technologiesin terms of their contributions to sustainability, a superstructure model, agraph network representation, is commonly adopted so that process systems engineering (PSE) methods and tools canbe applied. Within this, state-task and equipment representations turn out to be convenientfor the identification of optimal pathways. With such, we can employ mathematical programming techniques to systematicallyidentify optimal processing pathways with the highest sustainability potential,i.e., those that maximize both emission reduction and profitability giving aPareto curve between the two objectives. In this context, we discuss the recentcontributions of methodologies and tools in PSE to this problem. |
| 저자 | 이재형 |
| 소속 | 한국과학기술원 |
| 키워드 | carbon neutral industry; CO2 emission abatement; sustainable development; chemical industry |
