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Division Spotlight
Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Fusion Science and Technology
Latest News
Proposed FY 2025 budget beefs up EPA repository expertise
Funding in President Biden’s proposed fiscal year 2025 budget may signal movement toward the promulgation of a new generic Environmental Protection Agency standard for high-level nuclear waste repositories in the United States.
Mahmood Ul Hassan, Peng Fu, Zhiquan Song, Humayun Muhammad, Li Hua, Xiuqing Zhang
Fusion Science and Technology | Volume 75 | Number 4 | May 2019 | Pages 299-307
Technical Paper | doi.org/10.1080/15361055.2019.1565732
Articles are hosted by Taylor and Francis Online.
This paper presents a novel technique using a shunt active power filter (SAPF) control strategy to reduce the harmonics generated by the power converter. A three-phase SAPF using the Takagi Sugeno (TS) fuzzy technique is used to reduce current distortion. The proposed TS fuzzy controller is a suitable candidate using SAPF techniques. In order to realize an acceptable distortion limit, TS fuzzy control uses SAPF to realize the performance of the system. The simulation results validate the proposed fuzzy control strategy by a Matlab/Simulink model.
