Multiobjective Optimal Design of a Lean NO x Trap and Urealess Selective Catalytic Reduction Aftertreatment System under a Control Algorithm
2018 · Industrial & Engineering Chemistry Research
저자
Yeonsoo Kim, Taekyoon Park, Changho Jung, Chang Hwan Kim, Yong Wha Kim, 이종민 (Jong Min Lee)
연구주제
Engine and Fuel Emissions · Catalytic Processes in Materials Science · Industrial Gas Emission Control
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AI 연구 키워드·방법
디젤 배기 후처리 NOx 흡장 환원 촉매(NSR) 다목적 최적화 선택적 촉매 환원(SCR)
키워드 (OpenAlex)
lean NOx trap NOx aftertreatment multi-objective optimization Pareto-optimal design capital costs NOx reduction NH3 slip controller tuning
초록
A lean NO x trap (LNT) followed by selective catalytic reduction (SCR) without the urea injection system (LNT-urealess SCR, LNT-pSCR) has been developed to meet the stringent regulations on NO x emission. For the LNT-pSCR system to be commercialized, optimal design and control of the system are required. It is important to minimize the capital cost while satisfying the NO x regulation standards and minimizing fuel consumption. In this study, we propose a strategy to optimally design the lengths of the LNT and pSCR and tune control parameters by solving the multiobjective optimization problem and considering control logic simultaneously. For decision makers, NO x emission and capital cost are critical factors to consider. In addition, NH 3 slip and fuel loss caused by post injection must be considered. The Pareto optimal points are obtained by solving the biobjective optimization problem …
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