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Ian Baring-Gould
Researcher at National Renewable Energy Laboratory
Publications - 41
Citations - 845
Ian Baring-Gould is an academic researcher from National Renewable Energy Laboratory. The author has contributed to research in topics: Wind power & Renewable energy. The author has an hindex of 13, co-authored 36 publications receiving 773 citations. Previous affiliations of Ian Baring-Gould include Office of Scientific and Technical Information & University of Nevada, Las Vegas.
Papers
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Lifetime Modelling of Lead Acid Batteries
TL;DR: In this paper, the authors investigated and developed two different battery life prediction methodologies with specific reference to their use in hybrid renewable energy systems and the results from battery tests designed to exercise batteries in similar modes to those that they experience in hybrid systems have also been analysed.
Journal ArticleDOI
Life prediction of batteries for selecting the technically most suitable and cost effective battery
Heinz Wenzl,Ian Baring-Gould,Rudi Kaiser,Bor Yann Liaw,P. Lundsager,James F. Manwell,A. Ruddell,Vojtech Svoboda +7 more
TL;DR: In this article, the authors present a procedure that can be used for lifetime prediction, outlines some of the requirements for a prediction, and discusses the principles of battery models and their potential use in lifetime prediction.
Journal ArticleDOI
Operating conditions of batteries in off-grid renewable energy systems
Vojtech Svoboda,Heinz Wenzl,Rudi Kaiser,Andreas Jossen,Ian Baring-Gould,James F. Manwell,P. Lundsager,Henrik W. Bindner,Tom Cronin,Per Bromand Nørgård,A. Ruddell,A. Perujo,Kevin Douglas,Carlos Ewerton Maia Rodrigues,António Joyce,S. Tselepis,Nico van der Borg,Frans Nieuwenhout,N. Wilmot,F. Mattera,Dirk Uwe Sauer +20 more
TL;DR: In this paper, the authors describe the process and the results of creating RES categories of similar operating conditions for batteries, which can also be used for lifetime considerations of RES components, for making recommendations and for analysing the properties and performance of a RES and its components.
ReportDOI
Distributed Generation Market Demand Model (dGen): Documentation
TL;DR: The Distributed Generation Market Demand (dGen) model as discussed by the authors is a geospatially rich, bottom-up, market-penetration model that simulates the potential adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the continental United States through 2050.
ReportDOI
Wind Power Project Repowering: Financial Feasibility, Decision Drivers, and Supply Chain Effects
TL;DR: In this paper, the history of repowering, examines the plant age at which repowereding becomes financially attractive, and estimates the incremental market investment and supply chain demand that might result from future U.S. re-powering activities.