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OverviewThis book describes how a model for optimizing the energy supply system in Germany can be implemented. It focuses on the open energy modeling framework (Oemof) program for modeling energy supply systems. The individual elements of Oemof are described, as well as the model’s structure. The technical components of Oemof are subsequently demonstrated in mathematical calculations, along with sufficient Python code to begin basic modeling. The book will appeal to anyone with an interest in optimization models for energy supply systems, or in the mathematical description of the technical components of such systems in practical implementation, using a real example, Oemof. Thermodynamic descriptions of combustion are provided, so that readers can focus on modeling aspects. Researchers and practitioners will also find the book useful, as it expands on their knowledge of the technical components of energy supply systems, supported with detailed mathematical calculations. Full Product DetailsAuthor: Janet NagelPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: Softcover reprint of the original 1st ed. 2019 Volume: 69 Dimensions: Width: 15.50cm , Height: 1.70cm , Length: 23.50cm Weight: 0.474kg ISBN: 9783030071806ISBN 10: 3030071804 Pages: 294 Publication Date: 12 January 2019 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsThe Project Oemof.- The Generic Base Model in Oemof.- Mathematical Description of the Objects.- Modelling in Oemof.- Getting Started.- Examples of Different Energy Supply Models.ReviewsAuthor InformationSince 2013, Janet Nagel has been professor of renewable energies at Beuth University of Applied Sciences in Berlin, Germany. She is also founder of the Institute for Energy and Resource Innovation. Her work priorities include renewable energies, modeling of energy supply systems and biomass process optimization. Tab Content 6Author Website:Countries AvailableAll regions |