03984nam 22006135 450 991025397690332120200701041156.03-319-56962-710.1007/978-3-319-56962-8(CKB)3710000001186121(DE-He213)978-3-319-56962-8(MiAaPQ)EBC4851842(PPN)200513575(EXLCZ)99371000000118612120170429d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierComputational Geotechnics Storage of Energy Carriers /by Thomas Nagel, Norbert Böttcher, Uwe-Jens Görke, Olaf Kolditz1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (XII, 70 p. 29 illus., 26 illus. in color.) Computational Modeling of Energy Systems,2570-13393-319-56960-0 Includes bibliographical references and index.Chapter1. Introduction -- Chapter2. Basics of thermomechanics and inelasticity -- Chapter3. Simulation of laboratory tests -- Chapter4. Simulating Gas Storage in Salt Caverns -- Chapter5. Closing remarks.In this book, effective computational methods to facilitate those pivotal simulations using open-source software are introduced and discussed with a special focus on the coupled thermo-mechanical behavior of the rock salt. A cohesive coverage of applying geotechnical modeling to the subsurface storage of hydrogen produced from renewable energy sources is accompanied by specific, reproducible example simulations to provide the reader with direct access to this fascinating and important field. Energy carriers such as natural gas, hydrogen, oil, and even compressed air can be stored in subsurface geological formations such as depleted oil or gas reservoirs, aquifers, and caverns in salt rock. Many challenges have arisen in the design, safety and environmental impact assessment of such systems, not the least of which is that large-scale experimentation is not a feasible option. Therefore, simulation techniques are central to the design and risk assessment of these and similar geotechnical facilities. Current research on applying geotechnical modeling to energy storage and dispatch for renewable energy systems; Discusses effective computational methods for conducting design and safety assessments of geotechnical facilities using open-source software; Demonstrates how computational simulations can be invaluable in scenarios where large-scale field experimentation is not possible.Computational Modeling of Energy Systems,2570-1339Energy storageEnergy systemsGeotechnical engineeringEnergy Storagehttps://scigraph.springernature.com/ontologies/product-market-codes/116000Energy Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/115000Geotechnical Engineering & Applied Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/G37010Energy storage.Energy systems.Geotechnical engineering.Energy Storage.Energy Systems.Geotechnical Engineering & Applied Earth Sciences.624.151Nagel Thomasauthttp://id.loc.gov/vocabulary/relators/aut25897Böttcher Norbertauthttp://id.loc.gov/vocabulary/relators/autGörke Uwe-Jensauthttp://id.loc.gov/vocabulary/relators/autKolditz Olafauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910253976903321Computational Geotechnics1939051UNINA