O. Meneghini, T. Slendebroek, B. C. Lyons, K. McLaughlin, J. McClenaghan, L. Stagner, J. Harvey, T. F. Neiser, A. Ghiozzi, G. Dose, J. Guterl, A. Zalzali, T. Cote, N. Shi, D. Weisberg, S. P. Smith, B. A. Grierson, J. Candy
{"title":"FUSE (Fusion Synthesis Engine): A Next Generation Framework for Integrated Design of Fusion Pilot Plants","authors":"O. Meneghini, T. Slendebroek, B. C. Lyons, K. McLaughlin, J. McClenaghan, L. Stagner, J. Harvey, T. F. Neiser, A. Ghiozzi, G. Dose, J. Guterl, A. Zalzali, T. Cote, N. Shi, D. Weisberg, S. P. Smith, B. A. Grierson, J. Candy","doi":"arxiv-2409.05894","DOIUrl":null,"url":null,"abstract":"The Fusion Synthesis Engine (FUSE) is a state-of-the-art software suite\ndesigned to revolutionize fusion power plant design. FUSE integrates\nfirst-principle models, machine learning, and reduced models into a unified\nframework, enabling comprehensive simulations that go beyond traditional 0D\nsystems studies. FUSE's modular structure supports a hierarchy of model\nfidelities, from steady-state to time-dependent simulations, allowing for both\npre-conceptual design and operational scenario development. This framework\naccelerates the design process by enabling self-consistent solutions across\nphysics, engineering, and control systems, minimizing the need for iterative\nexpert evaluations. Leveraging modern software practices and parallel\ncomputing, FUSE also provides multi-objective optimization, balancing cost,\nefficiency, and operational constraints. Developed in Julia, FUSE is fully\nopen-source under the Apache 2.0 license, promoting transparency and\ncollaboration within the fusion research community.","PeriodicalId":501274,"journal":{"name":"arXiv - PHYS - Plasma Physics","volume":"68 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Plasma Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.05894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Fusion Synthesis Engine (FUSE) is a state-of-the-art software suite
designed to revolutionize fusion power plant design. FUSE integrates
first-principle models, machine learning, and reduced models into a unified
framework, enabling comprehensive simulations that go beyond traditional 0D
systems studies. FUSE's modular structure supports a hierarchy of model
fidelities, from steady-state to time-dependent simulations, allowing for both
pre-conceptual design and operational scenario development. This framework
accelerates the design process by enabling self-consistent solutions across
physics, engineering, and control systems, minimizing the need for iterative
expert evaluations. Leveraging modern software practices and parallel
computing, FUSE also provides multi-objective optimization, balancing cost,
efficiency, and operational constraints. Developed in Julia, FUSE is fully
open-source under the Apache 2.0 license, promoting transparency and
collaboration within the fusion research community.