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Nuclear Science and Engineering
Fusion Science and Technology
Virginia governor touts nuclear in launch of new state energy plan
Speaking earlier this week at the launch ceremony for Virginia’s 2022 Energy Plan, Gov. Glenn Youngkin called for an all-of-the-above approach, stressing the need for “an achievable and dynamic energy plan that provides for abundant, reliable, affordable, and clean energy.” He also left no doubt as to where nuclear power fits into that plan.
“We have to be all in [for] nuclear energy in Virginia,” Youngkin declared, addressing an audience of lawmakers, workers donning hard hats, and business executives at a power transformer manufacturing facility in Lynchburg. “When it comes to reliability, affordability, when it comes to clean power, when it comes to the abundant nature of growing power demand, absolutely nothing beats nuclear energy. It is the baseload of all baseloads. And Virginia is uniquely positioned to lead.”
Jae-Uk Lee, Min Ho Chang, Hyun-Goo Kang, Dong-You Chung, Sei-Hun Yun, Suh-Young Lee, In-Beum Lee
Fusion Science and Technology | Volume 75 | Number 8 | November 2019 | Pages 1046-1052
Technical Paper | dx.doi.org/10.1080/15361055.2019.1643688
Articles are hosted by Taylor and Francis Online.
This paper presents a dynamic model and simulation of the fuel delivery process between the separation system and the fueling system in the fusion fuel cycle considering the time-varying tokamak fuel demand. The fuel delivery process consists of vacuum pumps, valves, pressure vessels, and pipelines. Experimental data are applied to model the performance curves of the vacuum pumps. The delivery pressure is needed to be controlled to satisfy the pressure requirement of the fueling system. The developed dynamic model can be used to investigate delivery pressure fluctuation under various demand scenarios including a certain peak demand. The model is applied to the tritium delivery line during the inductive operation of the tokamak. Several rules for vessel switching are analyzed to examine the change of delivery pressure. The results show that the fluctuation can be reduced by switching vessels just before peak demand. The pressure fluctuation must be avoided by improving the flow coefficient of the control valve.