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Inertia and LLNL accelerate fuel manufacturing
Inertia Enterprises and Lawrence Livermore National Laboratory have developed a manufacturing process for the thin layer of cryogenically frozen deuterium-tritium (D-T) used in its target design, reducing production time from days to hours, according to the company.
The advance makes target fueling cheaper and reduces the amount of tritium that Inertia would need to hold at a pilot plant, which lowers material handling costs, regulatory burden, and dependence on scarce fuel inventories.
Marvin Dainoff, Lawrence Hettinger, Lewis Hanes, Jeffrey Joe
Nuclear Technology | Volume 209 | Number 3 | March 2023 | Pages 295-304
Technical Paper—Human-Machine Interface Technologies | doi.org/10.1080/00295450.2022.2138065
Articles are hosted by Taylor and Francis Online.
The modernization of nuclear power plants will require an advanced concept of operations, involving an integrated set of tightly coupled systems in which all stakeholders act in a coordinated manner. For this modernization effort to be enabled, we developed a human and organizational factors approach based on a broad sociotechnical framework. Starting from core human factors principles, we conducted a literature review of the methods and approaches relevant to the modernization problem. These included not only core disciplines such as cognitive systems engineering, systems theoretic accident modeling and processes, human systems integration, resilience engineering, and macroergonomics but also related topics of safety culture and organizational change. From this literature, we developed a conceptual framework centered around the work system with its four interacting components: people, technology, process, and governance. In an effective work system, these four components are jointly optimized according to three systems criteria: efficiency, effectiveness, and safety. System failure may result from excessive emphasis on any one criterion. The actual work of attaining joint optimization in a given work system can be accomplished by utilizing three high-level functions: knowledge elicitation, knowledge representation, and cross-functional integration. We illustrated the utility of this approach by applying it to practical problems and case studies.