Proceedings of FOCAPD 2024ISSN: 2818-4734
Volume: 3 (2024)
LAPSE:2024.1529
Published Article
LAPSE:2024.1529
Optimal Design Approaches for Cost-Effective Manufacturing and Deployment of Chemical Process Families with Economies of Numbers
Georgia Stinchfield, Sherzoy Jan, Joshua C. Morgan, Miguel Zamarripa, Carl D. Laird
August 15, 2024. Originally submitted on July 9, 2024
Developing methods for rapid, large-scale deployment of carbon capture systems is critical for meeting climate change goals. Optimization-based decisions can be employed at the design and manufacturing phases to minimize the costs of deployment and operation. Manufacturing standardization results in significant cost savings due to economies of numbers. Building on previous work, we present a process family design approach to design a set of carbon capture systems while explicitly including economies of numbers savings within the formulation. Our formulation optimizes both the number and characteristics of the common components in the platform and simultaneously designs the resulting set of carbon capture systems. Savings from economies of numbers are explicitly included in the formulation to determine the number of components in the platform. We show and discuss the savings we gain from economies of numbers.
Keywords
Carbon Capture, Energy Systems, Optimization, Process Design
Suggested Citation
Stinchfield G, Jan S, Morgan JC, Zamarripa M, Laird CD. Optimal Design Approaches for Cost-Effective Manufacturing and Deployment of Chemical Process Families with Economies of Numbers. Systems and Control Transactions 3:208-214 (2024) https://doi.org/10.69997/sct.112787
Author Affiliations
Stinchfield G: Carnegie Mellon University, Department of Chemical Engineering, Pittsburgh, PA 15213, USA
Jan S: Carnegie Mellon University, Department of Chemical Engineering, Pittsburgh, PA 15213, USA
Morgan JC: National Energy Technology Laboratory (NETL), Pittsburgh, PA 15236, USA; NETL Support Contractor, Pittsburgh, PA 15236, USA
Zamarripa M: National Energy Technology Laboratory (NETL), Pittsburgh, PA 15236, USA; NETL Support Contractor, Pittsburgh, PA 15236, USA
Laird CD: Carnegie Mellon University, Department of Chemical Engineering, Pittsburgh, PA 15213, USA
Journal Name
Systems and Control Transactions
Volume
3
First Page
208
Last Page
214
Year
2024
Publication Date
2024-07-10
Version Comments
DOI Assigned
Other Meta
PII: 0208-0214-676001-SCT-3-2024, Publication Type: Journal Article
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LAPSE:2024.1529
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https://doi.org/10.69997/sct.112787
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Aug 15, 2024
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