Abstract

Abstract Hybrid fusion power plants able to produce hydrogen and electricity are proposed here as a way of decarbonising the fossil-fuel-dominated primary energy market and to improve the plant economics. The main cost drivers of a fusion power plant based on a spherical tokamak have been identified using statistical analysis (Morris and Sobol methods) from a wide range of cases obtained with the systems code PROCESS. Showing the relevance of parameters such as 
β, A, B T max .

Three scenarios of advancing technophysical assumptions (conservative, moderate and optimistic) have been chosen to study the integration of the fusion reactor with the power block (Rankine, He-Brayton or super-critical-CO 2 -Feher) and with the PEM electrolyser. The super-critical-CO 2 cycle returns the best results for the studied temperature range (500ºC-800ºC), with an efficiency between 40%-56%. The modelled PEM is in line with current commercial models with a consumption of 51.97 kWh/kg H 2 .

The economic feasibility of these scenarios has been explored for a set of learning factors that consider the cheapening of the capital costs tied to experience. The LCOE of these scenarios have been compared against current price ranges of solar, wind and fission power and the LCOH against PEM prices, showing that the moderate and optimistic scenarios could be competitive for learning factors lower than 0.5 and capacity factors larger than 0.7. A showcase case using the optimistic scenario shows that the hybrid fusion power plant in the French and German market can improve the plant profits by 15% and 66% respectively.