The engineering design of commercial fusion energy systems has increasingly transitioned from conceptual physics validation toward integrated nuclear engineering development, requiring systematic approaches to materials qualification, tritium fuel cycle management, and high-availability heat conversion systems.This paper presents a structured nuclear engineering design assessment of current fusion reactor architectures, focusing on the nuclear engineering metrics that differentiate technological pathways: plasma gain Q, target gain Gtarget, tritium breeding ratio (TBR), net engineering gain Qeng, and plant availability factors.The analysis systematically covers the principal reactor architectures under active development, examines the critical nuclear engineering subsystems (materials, tritium fuel cycle, heat conversion, and safety), and evaluates the convergence of public and private development pathways.We examine the foundational engineering challenges facing fusion power plant design, including the qualification of plasma-facing materials under 14-MeV neutron fluences exceeding 100 displacements per atom over plant lifetimes, the design of self-sustaining tritium breeding blankets achieving TBR > 1.1 with demonstrated extraction and processing efficiencies, the integration of high-heat flux components capable of withstanding steady-state heat fluxes up to 20 MW/m2 and transient energy densities of 1 MJ/m2, the development of remote-handling systems for maintenance in activated environments, and balance-of-plant optimization for thermal-to-electric conversion efficiencies exceeding 40%.The analysis critically evaluates leading reactor architectures, including high-field tokamaks, field-reversed configurations, magnetized target fusion, and sheared-flow–stabilized Z-pinches, against these nuclear engineering criteria. Particular attention is given to the role of high-temperature superconducting magnets in enabling compact, high power density tokamak designs, and to the integration of digital twin and artificial intelligence–driven control systems for optimizing component lifetimes and plant availability.We conclude that the synergistic interplay between public sector research infrastructure and private sector agile development is now a primary mechanism for derisking the nuclear engineering pathway to a deployable fusion energy system, with integrated engineering demonstrations anticipated within the next decade. This paper proposes a structured design framework incorporating systems engineering, probabilistic risk assessment, and life-cycle cost analysis as essential tools for commercial fusion plant development.
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Alberto A. Boretti (2026) studied this question.
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