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Cited by 40 publications
(17 citation statements)
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“…In the method employed in this work, the reduced deterministic equivalent is solved over the set of scenarios consisting of a minimal set of critical points for ensuring flexibility, and one single point (the Central Basic Point) for approximating the expected value . Assuming that the Central Basic Point (CBP or θ CBP ) and the set of critical points C can be determined in advance, a significantly reduced nonlinear deterministic equivalent problem (RDEP) could be solved over a union of the scenarios C ∪ θ CBP …”
Section: Formulation Of Significantly Reduced Deterministic Equivalenmentioning
confidence: 99%
See 2 more Smart Citations
“…In the method employed in this work, the reduced deterministic equivalent is solved over the set of scenarios consisting of a minimal set of critical points for ensuring flexibility, and one single point (the Central Basic Point) for approximating the expected value . Assuming that the Central Basic Point (CBP or θ CBP ) and the set of critical points C can be determined in advance, a significantly reduced nonlinear deterministic equivalent problem (RDEP) could be solved over a union of the scenarios C ∪ θ CBP …”
Section: Formulation Of Significantly Reduced Deterministic Equivalenmentioning
confidence: 99%
“…The conditional expectations are calculated through the decomposition of a multi‐dimensional uncertain problem into several 1‐D ones. The procedure was described by Novak Pintarič and Kravanja, and is only briefly summarized here.…”
Section: Formulation Of Significantly Reduced Deterministic Equivalenmentioning
confidence: 99%
See 1 more Smart Citation
“…Bansal et al29 presented a case study of a multicomponent distillation system to demonstrate: (i) how the process and control design, involving both discrete and continuous decisions, can be simultaneously optimized; and (ii) mixed‐integer dynamic optimization problems, involving thousands of differential‐algebraic equations, can be solved using state‐of‐the‐art algorithms and technology. Pintarič and Kravanja30 proposed a sequential two‐stage approach which can handle flexibility and some aspects of operability by the synthesis of chemical processes with mixed‐integer nonlinear programming (MINLP). In the work of Konukman and Akman,31 flexibility and operability issues of a heat‐exchanger network (HEN) were investigated with rigorous simulations using the process flowsheet simulator HYSYS for a HEN‐integrated natural gas turbo‐expander plant (TEP) operating under ethane‐recovery mode.…”
Section: Process Flexibility: Summary Of Prior Workmentioning
confidence: 99%
“…Although it can accurately depict the feasible region for convex, nonconvex, or even disjoint problems, it does not intuitively provide the feasible rang of each uncertain parameter. Pintaričand Kravanja 21,22 proposed a method via identification of critical points based on Karush−Kuhn−Tucher (KKT) conditions, which can be applied in both convex and nonconvex situations.…”
Section: Introductionmentioning
confidence: 99%