A mixed integer linear programming approach for the design of chemical process families

Stinchfield, Georgia; Morgan, Joshua C.; Naik, Sakshi; Biegler, Lorenz T.; Eslick, John C.; Jacobson, Clas; Miller, David C.; Siirola, John D.; Zamarripa, Miguel; Zhang, Chen; Zhang, Qi; Laird, Carl D.

doi:10.1016/j.compchemeng.2024.108620

DOE OSTI · 2377275

A mixed integer linear programming approach for the design of chemical process families

Stinchfield, Georgia·Morgan, Joshua C.·Naik, Sakshi·Biegler, Lorenz T.·Eslick, John C.·Jacobson, Clas·Miller, David C.·Siirola, John D.·Zamarripa, Miguel·Zhang, Chen·Zhang, Qi·Laird, Carl D.

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Abstract

Tackling climate change goals requires widespread deployment of process technology variants across many decentralized sites with different geographical, environmental, and operational requirements. Conventional engineering approaches focus on unique designs for each installation (process variant), while missing opportunities for manufacturing standardization. Here, instead we seek to optimize a process platform of common unit designs while simultaneously designing an entire family of process variants that make use of that platform. This reduces engineering effort, deployment timelines, and manufacturing costs. We propose a nonlinear generalized disjunctive programming formulation and convert this to an efficient mixed-integer linear programming (MILP) formulation through discretization of the design space. We formulate our optimization in Pyomo with costing from IDAES, and we demonstrate the computational performance and solution quality on a water treatment desalination system from the PARETO framework and a carbon capture system built in Aspen Plus as part of CCSI2.

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37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY 97 MATHEMATICS AND COMPUTING Process family design carbon capture manufacturing mixed-integer linear programming optimization

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Stinchfield, Georgia, Morgan, Joshua C., Naik, Sakshi, Biegler, Lorenz T., Eslick, John C., Jacobson, Clas, Miller, David C., Siirola, John D., Zamarripa, Miguel, Zhang, Chen, Zhang, Qi, Laird, Carl D.. 2024-02-05. A mixed integer linear programming approach for the design of chemical process families. https://doi.org/10.1016/j.compchemeng.2024.108620

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