Computational Energy System and Processes Scenario Analysis for System Feasibility by Dr. Ashok Kumar Singh

Location and Date: 
Thursday, February 09, 2017, 4 pm, LT 206



The world is phasing out fossil fuels and implementing policies that quickly increase their share of renewable energy, especially in electricity production. However, intermittent renewable energy sources have limited capacity for regulation of energy balancing due to lacking technologies for energy storage and efficient way of energy exploitation. The presentation includes a new way of computational investigation for sensible heat storage in sandstone and energy capacity estimation for a fluid bearing geothermal reservoir using the Finite Element Energy Simulator.

The specific attention on

• Future energy solution test set-up for wind energy storage

• In-situ laboratory at Groß Sch¨onebeck geothermal reservoir

Future energy solution promises an extremely low-cost set-up and will set a standard in efficiency for energy storage technologies. The test set-up reviews how to make charging the storage particularly efficient with respect to arrangements of sandstone in rock fills. Present investigation showed that sandstone size and airflow play a crucial role in heat storage. Modeling for well-doublet water circulation at the Groß Sch¨onebeck geothermal reservoir, prior to the experiment, suggests the thermal breakthrough has occurred after 18 years of power production and the life time of the reservoir is 50 years. Despite a successful completion of the well-doublet experiment, permeability has not been enhanced and CO2 -based heat mining operation is a recommendation that came out to enhance the power production. 


Ashok is currently an Assistant Professor in Center for Energy Informatics at the Mærsk Mc-Kinney Møller Institute, University of Southern Denmark. He received his Ph.D. in Computational Fluid Dynamics from Indian Institute of Technology Kharagpur, India. He moved to Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany to work in a team of scientists developing the numerical simulation framework, OpenGeoSys, for coupled multi-physical problems applicable for thermochemical heat storage, sensible heat storage in porous media and geotechnical applications in the context of energy supply. His main research interest is computational energy process. Dr. Singh’s research mission is to provide numerical simulation framework for the computational investigation of new enable energy storage technologies and efficient utilization of renewable energy resources. Dr. Singh is leading the development of Finite Element Energy Simulator-FEES. He is an Associate EditorAE, for Computational Geosciences - Journal of Environmental Earth Science and also a member of research and education council at Mærsk Mc-Kinney Møller Institute.