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Techno-Economic Assessment of Fuel Cycle Facility of System Integrated Modular Advanced Reactor (SMART)

Author

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  • Salah Ud-Din Khan

    (Sustainable Energy Technologies Center, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia
    K.A.CARE Energy Research and Innovation Center, Riyadh 12244, Saudi Arabia)

  • Zeyad Almutairi

    (Sustainable Energy Technologies Center, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia
    K.A.CARE Energy Research and Innovation Center, Riyadh 12244, Saudi Arabia
    Mechanical Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia
    King Abdullah Institute of Nanotechnology, King Saud University, Riyadh 11451, Saudi Arabia)

  • Meshari Alanazi

    (Sustainable Energy Technologies Center, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia
    K.A.CARE Energy Research and Innovation Center, Riyadh 12244, Saudi Arabia)

Abstract

The economic assessment of advanced nuclear power reactors is very important, specifically during the early stages of concept design. Therefore, a study was performed to calculate the total cost estimation of fuel cycle supply for a system modular advanced reactor (SMART) by using the Generation-IV economic program called G4-ECONS (Generation 4 Excel-based Calculation of Nuclear Systems). In this study, the detailed description of each model and methodology are presented including facility, operations, construction matrix, post-production model, and fuel cycle cost estimation model. Based on these models, six Generation-III+ and Generation-IV nuclear reactors were simulated, namely System 80+ with benchmark data, System 80+ with uranium oxide (UOx) and mixed oxide (MOx) fuel assemblies, fast reactor, PBMR (Pebble Bed Modular Reactor), and PWR (Pressurized Water Reactor), with partially closed and benchmarked cases. The total levelized costs of these reactors were obtained, and it was observed that PBMR showed the lowest cost. The research was extended to work on the SMART reactor to calculate the total levelized fuel cycle cost, capital cost, capital component cost, fraction of capital spent, and sine curve spent pattern. To date, no work is being reported to calculate these parameters for the SMART reactor. It was observed that SMART is the most cost-effective reactor system among other proven and advanced pressurized water-based reactor systems. The main objective of the research is to verify and validate the G4-ECONS model to be used for other innovative nuclear reactors.

Suggested Citation

  • Salah Ud-Din Khan & Zeyad Almutairi & Meshari Alanazi, 2021. "Techno-Economic Assessment of Fuel Cycle Facility of System Integrated Modular Advanced Reactor (SMART)," Sustainability, MDPI, vol. 13(21), pages 1-11, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11815-:d:664955
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    References listed on IDEAS

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    1. Chen, Siyuan & Liu, Pei & Li, Zheng, 2019. "Multi-regional power generation expansion planning with air pollutants emission constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 382-394.
    2. Jain, Shashi & Roelofs, Ferry & Oosterlee, Cornelis W., 2014. "Decision-support tool for assessing future nuclear reactor generation portfolios," Energy Economics, Elsevier, vol. 44(C), pages 99-112.
    3. Jaskólski, Marcin & Reński, Andrzej & Minkiewicz, Tomasz, 2017. "Thermodynamic and economic analysis of nuclear power unit operating in partial cogeneration mode to produce electricity and district heat," Energy, Elsevier, vol. 141(C), pages 2470-2483.
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