首页|Pareto-optimal treatment of uncertainties in model-based process design
and operation
Pareto-optimal treatment of uncertainties in model-based process design
and operation
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原文链接
Arxiv
Model-based process design and operation involves here-and-now and
wait-and-see decisions. Here-and-now decisions include design variables like
the size of heat exchangers or the height of distillation columns, whereas
wait-and-see decisions are directed towards operational variables like reflux
and split ratios. In this contribution, we describe how to deal with these
different types of decisions in a multicriteria framework, offering an
adjustability for the wait-and-see variables while at the same time respecting
optimality guarantees on process KPIs.
Jan Schwientek、Katrin Teichert、Jan Schr?der、Johannes H?ller、Norbert Asprion、Pascal Sch?fer、Martin Wlotzka、Michael Bortz
Arxiv
