Energy Transition, Hydrogen and Renewable Energy - Innovative Data Sharing and Modeling Techniques
Tuesday, 6 May
606
Technical Session
Hydrogen, wind, geothermal, energy storage, and other low-carbon energy sources require advanced analytics, especially those with predictive power in order to simulate, model, and evaluate scenarios, processes, and risks. The foundation of energy analytics requires highly efficient data storage, transfer, sharing, and maximum flexibility in order to explore and develop all potential offshore energy sources.
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0930-0948 35676Deep Single Well EGS Method For Highly Elevated Power Capacity
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0950-1008 35968Data Sharing To Accelerate The Marine Energy Industry - Overview Of Concepts, Principles, And Examples
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1010-1028 35834Advanced Numerical Modeling Of Seafloor Instability Triggered By Gas Hydrate Exploitation
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1050-1108 35982A Modular Design Of Green Hydrogen Production Systems Using Offshore Wind Energy And Its Economic Evaluation
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1110-1128 35963Accelerating Underground Hydrogen Storage In Quartz/H2/Brine Systems: Impact Of Solvent Variability On Adsorption Of Organics
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1130-1148 35927Green Fuel On The Seas: Frameworks For Future Production
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Alternate 35848Distributed Real-time Hybrid Simulation For Dynamic Response Evaluation Of Floating Wind Turbines
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Alternate 35539Using An Optimal Digital Twin To Integrate Geoengineering Solutions And Ml-assisted Diagnostics In An Underground Gas Storage System