LEADER 03984nam 22006135 450 001 9910253976903321 005 20200701041156.0 010 $a3-319-56962-7 024 7 $a10.1007/978-3-319-56962-8 035 $a(CKB)3710000001186121 035 $a(DE-He213)978-3-319-56962-8 035 $a(MiAaPQ)EBC4851842 035 $a(PPN)200513575 035 $a(EXLCZ)993710000001186121 100 $a20170429d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Geotechnics $eStorage of Energy Carriers /$fby Thomas Nagel, Norbert Böttcher, Uwe-Jens Görke, Olaf Kolditz 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XII, 70 p. 29 illus., 26 illus. in color.) 225 1 $aComputational Modeling of Energy Systems,$x2570-1339 311 $a3-319-56960-0 320 $aIncludes bibliographical references and index. 327 $aChapter1. Introduction -- Chapter2. Basics of thermomechanics and inelasticity -- Chapter3. Simulation of laboratory tests -- Chapter4. Simulating Gas Storage in Salt Caverns -- Chapter5. Closing remarks. 330 $aIn this book, effective computational methods to facilitate those pivotal simulations using open-source software are introduced and discussed with a special focus on the coupled thermo-mechanical behavior of the rock salt. A cohesive coverage of applying geotechnical modeling to the subsurface storage of hydrogen produced from renewable energy sources is accompanied by specific, reproducible example simulations to provide the reader with direct access to this fascinating and important field. Energy carriers such as natural gas, hydrogen, oil, and even compressed air can be stored in subsurface geological formations such as depleted oil or gas reservoirs, aquifers, and caverns in salt rock. Many challenges have arisen in the design, safety and environmental impact assessment of such systems, not the least of which is that large-scale experimentation is not a feasible option. Therefore, simulation techniques are central to the design and risk assessment of these and similar geotechnical facilities. Current research on applying geotechnical modeling to energy storage and dispatch for renewable energy systems; Discusses effective computational methods for conducting design and safety assessments of geotechnical facilities using open-source software; Demonstrates how computational simulations can be invaluable in scenarios where large-scale field experimentation is not possible. 410 0$aComputational Modeling of Energy Systems,$x2570-1339 606 $aEnergy storage 606 $aEnergy systems 606 $aGeotechnical engineering 606 $aEnergy Storage$3https://scigraph.springernature.com/ontologies/product-market-codes/116000 606 $aEnergy Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/115000 606 $aGeotechnical Engineering & Applied Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/G37010 615 0$aEnergy storage. 615 0$aEnergy systems. 615 0$aGeotechnical engineering. 615 14$aEnergy Storage. 615 24$aEnergy Systems. 615 24$aGeotechnical Engineering & Applied Earth Sciences. 676 $a624.151 700 $aNagel$b Thomas$4aut$4http://id.loc.gov/vocabulary/relators/aut$025897 702 $aBöttcher$b Norbert$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aGörke$b Uwe-Jens$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKolditz$b Olaf$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910253976903321 996 $aComputational Geotechnics$91939051 997 $aUNINA