LAPSE:2026.0245
Published Article

LAPSE:2026.0245
Pareto-Optimal Pathways for Refinery Decarbonization: Retrofit of Small Modular Nuclear Reactors
June 12, 2026
Abstract
Refineries are major sources of direct CO2 emissions, primarily from steam generation, fluid catalytic cracking, and hydrogen production. This study develops a superstructure optimization framework to evaluate the economic and environmental viability of retrofitting existing refineries with small modular nuclear reactors (SMRs) for cogeneration of heat and electricity. A multi-period mixed-integer quadratically constrained program is formulated, simultaneously minimizing the present cost of retrofitting and CO2 emissions over the time horizon. This problem is solved to generate a Pareto frontier via the e-constraint method. Two cases are analyzed for a medium-scale refinery, considering 1) inflexible operation under average annual electricity prices and 2) flexible operation under hourly prices with the possibility of installation of storage devices. Compared to a benchmark without SMRs in the superstructure, allowing their installation leads to reduced costs at lower or comparable emission levels. The results show that SMRs are primarily used for high-pressure steam generation. Flexible operation and the inclusion of thermal energy storage further reduce costs. Overall, SMRs appear in multiple non-dominated solutions, highlighting their potential as a cost-effective refinery decarbonization strategy.
Refineries are major sources of direct CO2 emissions, primarily from steam generation, fluid catalytic cracking, and hydrogen production. This study develops a superstructure optimization framework to evaluate the economic and environmental viability of retrofitting existing refineries with small modular nuclear reactors (SMRs) for cogeneration of heat and electricity. A multi-period mixed-integer quadratically constrained program is formulated, simultaneously minimizing the present cost of retrofitting and CO2 emissions over the time horizon. This problem is solved to generate a Pareto frontier via the e-constraint method. Two cases are analyzed for a medium-scale refinery, considering 1) inflexible operation under average annual electricity prices and 2) flexible operation under hourly prices with the possibility of installation of storage devices. Compared to a benchmark without SMRs in the superstructure, allowing their installation leads to reduced costs at lower or comparable emission levels. The results show that SMRs are primarily used for high-pressure steam generation. Flexible operation and the inclusion of thermal energy storage further reduce costs. Overall, SMRs appear in multiple non-dominated solutions, highlighting their potential as a cost-effective refinery decarbonization strategy.
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Khatu AS, Chattopadhyay S, Torres AI. Pareto-Optimal Pathways for Refinery Decarbonization: Retrofit of Small Modular Nuclear Reactors. Systems and Control Transactions 5:342-351 (2026) https://doi.org/10.69997/sct.186922
Author Affiliations
Khatu AS: Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh 15213, PA, USA
Chattopadhyay S: Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh 15213, PA, USA
Torres AI: Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh 15213, PA, USA
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Chattopadhyay S: Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh 15213, PA, USA
Torres AI: Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh 15213, PA, USA
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Journal Name
Systems and Control Transactions
Volume
5
First Page
342
Last Page
351
Year
2026
Publication Date
2026-06-12
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Original Submission
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PII: 0342-0351-204-SCT-5-2026, Publication Type: Journal Article
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LAPSE:2026.0245
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https://doi.org/10.69997/sct.186922
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References Cited
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