화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2022년 봄 (04/20 ~ 04/23, 제주국제컨벤션센터)
권호 28권 1호, p.814
발표분야 [주제 4] 탄소중립(CCUS)
제목 Economic Model Predictive Control of Post-combustion CO2 Capture Process for Flexible Operation
초록 A large amount of energy requirement for solvent regeneration is a major barrier to the widespread adoption of amine-based post-combustion CO2 capture (PCC). Flexible operation responding to changes in economic factors like energy price, is one potential way to alleviate the energy penalty. As flexible operation will inherently involve a large operating envelope, both reliable control strategy and economic operation strategy should be required to address such time-varying operation. Here we suggest a combined control technology, so-called economic model predictive control (EMPC), for the flexible operation. We construct a data-driven NARX model to capture nonlinear dynamics that lie along the wide operation range. Then, the advanced control strategy, which reflects current and future energy price changes via value function approximation, is introduced.
저자 정호원, 이재형
소속 KAIST
키워드 공정시스템(Process Systems Engineering)
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