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An Adaptive Refined Grid Search Strategy for Assessing Operational Flexibility and Application on Refrigerant Selection
  • Jiayuan Wang,
  • Robin Smith,
  • Lingyu Zhu
Jiayuan Wang
Zhejiang University of Technology

Corresponding Author:[email protected]

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Robin Smith
The University of Manchester
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Lingyu Zhu
Zhejiang University of Technology
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A novel adaptive refined grid search strategy is developed for representative characterization of process feasible region boundaries and accurate estimation of its hypervolume. In particular, a linked list data structure adopted from the field of computer science is used to maintain the grid connectivity information. A uniform perturbation scheme is used to refine the search only near boundaries. The volumetric flexibility index FI_V is calculated directly from a summation of feasible hypercubes in the grid, without the need to apply shape reconstruction techniques. The proposed adaptive grid search strategy can capture complex region shapes with reduced sampling costs and without randomness for better reproducibility. Operational flexibility is optimized traditionally at a process scale. A case study on refrigerant selection is presented to demonstrated that the developed strategy could be combined within a computer-aided molecular design framework for operational flexibility optimization in molecular scale.
02 Sep 2021Submitted to AIChE Journal
05 Sep 2021Submission Checks Completed
05 Sep 2021Assigned to Editor
14 Sep 2021Reviewer(s) Assigned
07 Oct 2021Editorial Decision: Revise Major
27 Oct 20211st Revision Received
02 Nov 2021Submission Checks Completed
02 Nov 2021Assigned to Editor
06 Nov 2021Reviewer(s) Assigned
28 Dec 2021Editorial Decision: Accept
Apr 2022Published in AIChE Journal volume 68 issue 4. 10.1002/aic.17566