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Cost Assessment of a Tokamak Fusion Reactor with an Inventive Method for Optimum Build Determination

Author

Listed:
  • Gahyung Jo

    (Korea Institute of Fusion Energy, Daejeon 34133, Korea)

  • Jae-Min Kwon

    (Korea Institute of Fusion Energy, Daejeon 34133, Korea)

  • Ara Cho

    (Korea Institute of Fusion Energy, Daejeon 34133, Korea)

  • Hyun-Kyung Chung

    (Korea Institute of Fusion Energy, Daejeon 34133, Korea)

  • Bong-Guen Hong

    (Quantum System Engineering, Jeonbuk National University, Jeonju 54896, Korea)

Abstract

An inventive method was applied to determine the minimum major radius, R 0 , and the optimum build of a tokamak fusion reactor that simultaneously meets all physics, engineering, and neutronics constraints. With a simple cost model, tokamak systems analyses were carried out over ranges of system parameters to find an optimum build of a tokamak fusion reactor at minimum cost. The impact of a wide range of physics parameters and advanced engineering elements on costs were also addressed. When a central solenoid was used to ramp up a plasma current, design solutions with a cost of electricity (COE) between 109 and 140 mills/kWh, direct capital cost between 5000 and 6000 M/USD, and net electric power, P e between 1000 and 1600 MW could be found with a minimum R 0 between 6.0 and 7.0 m, and fusion power, P fusion between 2000 and 2800 MW. When the plasma current was driven by a non-inductive external system, the system size and costs could be reduced further; a COE between 98 and 130 mills/kWh, direct capital cost between 4000 and 5000 M$, and P e between 1000 and 1420 MW could be found with a minimum R 0 between 5.1 and 6.7 m, and P fusion between 2000 and 2650 MW.

Suggested Citation

  • Gahyung Jo & Jae-Min Kwon & Ara Cho & Hyun-Kyung Chung & Bong-Guen Hong, 2021. "Cost Assessment of a Tokamak Fusion Reactor with an Inventive Method for Optimum Build Determination," Energies, MDPI, vol. 14(20), pages 1-15, October.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6817-:d:659252
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