期刊
COMPUTERS & CHEMICAL ENGINEERING
卷 114, 期 -, 页码 52-68出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2017.10.031
关键词
Dynamic simulation; Dynamic optimization; Sensitivity analysis; Hybrid systems; Process systems engineering
资金
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- Novartis-MIT Center for Continuous Manufacturing
This article advocates a nonsmooth differential-algebraic equations (DAEs) modeling paradigm for dynamic simulation and optimization of process operations. A variety of systems encountered in chemical engineering are traditionally viewed as exhibiting hybrid continuous and discrete behavior. In many cases such discrete behavior is nonsmooth (i.e. continuous but nondifferentiable) rather than discontinuous, and is appropriately modeled by nonsmooth DAEs. A computationally relevant theory of nonsmooth DAEs (i.e. well-posedness and sensitivity analysis) has recently been established (Stechlinski and Barton,2016a,2017) which is suitable for numerical implementations that scale efficiently for large-scale dynamic optimization problems. Challenges posed by competing hybrid modeling approaches for process operations (e.g. hybrid automata) are highlighted as motivation for the nonsmooth DAEs approach. Several examples of process operations modeled as nonsmooth DAEs are given to illustrate their wide applicability before presenting the appropriate mathematical theory. (C) 2017 Elsevier Ltd. All rights reserved.
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