2010
DOI: 10.1016/j.compchemeng.2009.07.012
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MPEC strategies for cost optimization of pipeline operations

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Cited by 67 publications
(41 citation statements)
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“…The application of complementary formulations in chemical engineering was first introduced by Baumrucker et al 46 Later, it was introduced to the pipeline operation optimization problems 47,48 to model the piecewise functions.…”
Section: Novel Formulations For the Heat Exchangermentioning
confidence: 99%
“…The application of complementary formulations in chemical engineering was first introduced by Baumrucker et al 46 Later, it was introduced to the pipeline operation optimization problems 47,48 to model the piecewise functions.…”
Section: Novel Formulations For the Heat Exchangermentioning
confidence: 99%
“…This model handles time dependent operations aiming at determining minimum energy consumption and operating cost at a given time period. The application to a oxygen pipeline network show that, by using the pipeline inventory and time of pricing, the energy costs have been reduced despite of the increase of the overall use of energy [21]. In another recent study a Nonlinear Model Predictive Control (NMPC) formulation has been applied in order to optimize the operational costs of gas pipeline networks [22], while in another one, the formulation and large scale solution of bi-level optimization problems, through Mathematical Programs with Complementarity Constraints MPCCs have been carried out [23].…”
Section: Introduction and Literature Reviewmentioning
confidence: 98%
“…However, with the ability to enforce algebraic constraints within a differential model, MPCCs, which are formulated as sets of algebraic equations, can be embedded into the model to represent disjunctions. These MPCCs take advantage of a complementarity condition that both constraints are active, one as an equality and the other as an inequality, as shown in Equation (8), where ⊥ is the complementarity operator [6,16]:…”
Section: Embedding Mpecs With Complementarity Into Simultaneous Equatmentioning
confidence: 99%
“…Complementarity, the requirement that at least one of a pair of variables be at some limit, provides a framework for representing disjunctive behavior using a set of continuous equations. MPECs using complementarity constraints have found use in optimization problems in the fields of structural mechanics [4,5], chemical and process engineering [6][7][8][9], electric power generation [10], climate change [11], traffic networks [12], operations research [13], economics [14], and other fields [15,16].…”
Section: Introductionmentioning
confidence: 99%