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Multiobjective Optimal Design of a Lean NOx Trap and Urealess Selective Catalytic Reduction Aftertreatment System under a Control Algorithm
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2018-11-16 , DOI: 10.1021/acs.iecr.8b03973 Yeonsoo Kim 1 , Taekyoon Park 1 , Changho Jung 2 , Chang Hwan Kim 2 , Yong Wha Kim 2 , Jong Min Lee 1
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2018-11-16 , DOI: 10.1021/acs.iecr.8b03973 Yeonsoo Kim 1 , Taekyoon Park 1 , Changho Jung 2 , Chang Hwan Kim 2 , Yong Wha Kim 2 , Jong Min Lee 1
Affiliation
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A lean NOx 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 NOx 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 NOx 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, NOx emission and capital cost are critical factors to consider. In addition, NH3 slip and fuel loss caused by post injection must be considered. The Pareto optimal points are obtained by solving the biobjective optimization problem with respect to NOx emission and capital cost while the other factors are constrained. Among the Pareto optimal points, we suggest a set of design and control tuning parameters. To reduce NOx only by 0.41% more than the suggested system, the capital cost increases significantly by 21.82%. Meanwhile, the results of multiobjective optimization without considering the control logic (fixed timings and durations of the rich modes) are trivial, in that the amount of NOx reduction increases as the volume of the LNT-pSCR system increases.
中文翻译：
控制算法的稀薄NO x捕集阱和无尿选择性催化还原后处理系统的多目标优化设计
甲贫NO X，然后通过选择性催化还原（SCR）而没有尿素喷射系统（LNT-urealess SCR，LNT-PSCR）捕集器（LNT）已开发，以满足严格的法规对NO X排放。为了使LNT-pSCR系统商业化，需要对系统进行最佳设计和控制。同时满足NO，以尽量减少资本成本是很重要的X监管标准和减少燃料消耗。在这项研究中，我们提出了一种策略，可以通过解决多目标优化问题并同时考虑控制逻辑来优化设计LNT和pSCR的长度并调整控制参数。对于决策者而言，NO x排放和资本成本是需要考虑的关键因素。另外，NH3必须考虑由后喷射引起的打滑和燃油损失。Pareto最优点由相对于求解双目标优化问题，以获得NO X排放和资本成本，而其他因素的限制。在帕累托最优点中，我们建议了一组设计和控制调整参数。为了减少NO X只有0.41％，超过了建议的制度，资金成本显著由21.82％增加。与此同时，多目标优化的，而不考虑控制逻辑的结果（固定定时和富模式的持续时间）是微不足道的，因为NO的量X还原随着所述LNT-PSCR系统的体积增加。
更新日期：2018-11-17
中文翻译：
控制算法的稀薄NO x捕集阱和无尿选择性催化还原后处理系统的多目标优化设计
甲贫NO X，然后通过选择性催化还原（SCR）而没有尿素喷射系统（LNT-urealess SCR，LNT-PSCR）捕集器（LNT）已开发，以满足严格的法规对NO X排放。为了使LNT-pSCR系统商业化，需要对系统进行最佳设计和控制。同时满足NO，以尽量减少资本成本是很重要的X监管标准和减少燃料消耗。在这项研究中，我们提出了一种策略，可以通过解决多目标优化问题并同时考虑控制逻辑来优化设计LNT和pSCR的长度并调整控制参数。对于决策者而言，NO x排放和资本成本是需要考虑的关键因素。另外，NH3必须考虑由后喷射引起的打滑和燃油损失。Pareto最优点由相对于求解双目标优化问题，以获得NO X排放和资本成本，而其他因素的限制。在帕累托最优点中，我们建议了一组设计和控制调整参数。为了减少NO X只有0.41％，超过了建议的制度，资金成本显著由21.82％增加。与此同时，多目标优化的，而不考虑控制逻辑的结果（固定定时和富模式的持续时间）是微不足道的，因为NO的量X还原随着所述LNT-PSCR系统的体积增加。
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