OpenGeoSys A Simulation Framework for Modeling and Predicting Energy System Properties (kun engelsk)
January 10th 2014 Ashok Singh, PhD at Helmholtz Centre for Environmental Research, Leipzig / Germany guested Centre for Smart Energy Solutions with the talk:
OpenGeoSys: a Simulation Framework for Modeling and Predicting Energy System Properties
Conventional sources of energy such as coal, oil, and natural gas are finite and emit greenhouse gases (GHG). To protect the atmosphere from GHG emission and effort to further extend the life of hydrocarbon reservoirs, participation in renewable energy transition is a good idea. The renewable energy that comes from resources which are continually replenished on a human timescale such as sunlight, wind, rain, tides, waves and geothermal heat. Nevertheless, energy derived from renewable energy sources is variable by nature. Hence, technologies for energy storage systems and enhancement of energy production from geothermal reservoirs are required to make it sustainable. To predict the properties of these energy systems, mathematical modeling of physical, chemical and biological processes offers a well-established numerical simulator.