Resilient design and operations of process systems: Nonlinear adaptive robust optimization model and algorithm for resilience analysis and enhancement
Title
Resilient design and operations of process systems: Nonlinear adaptive robust optimization model and algorithm for resilience analysis and enhancement
Subject
Mixed-integer fractional programming
Process design and operations
Resilience
Superstructure optimization
Two-stage adaptive robust optimization
Description
This paper is concerned with the resilient design and operations of process systems in response to disruption events. A general framework for resilience optimization is proposed that incorporates an improved quantitative measure of resilience and a comprehensive set of resilience enhancement strategies for process design and operations. The proposed framework identifies a set of disruptive events for a given system, and then formulates a multiobjective two-stage adaptive robust mixed-integer fractional programming model to optimize the resilience and economic objectives simultaneously. The model accounts for network configuration, equipment capacities, and capital costs in the first stage, and the number of available processes and operating levels in each time period in the second stage. A tailored solution algorithm is developed to tackle the computational challenge of the resulting multi-level optimization problem. The applicability of the proposed framework is illustrated through applications on a chemical process network and a shale gas processing system.
231-252
116
Creator
Gong, Jian
You, Fengqi
Publisher
Multi-scale Systems Engineering – in memory & honor of Professor C.A. Floudas
Date
2018
Type
journalArticle
Identifier
0098-1354
10.1016/j.compchemeng.2017.11.002
Collection
Citation
Gong, Jian and You, Fengqi, “Resilient design and operations of process systems: Nonlinear adaptive robust optimization model and algorithm for resilience analysis and enhancement,” Lamar University Midstream Center Research, accessed May 14, 2024, https://lumc.omeka.net/items/show/26711.