Date of Completion
8-17-2016
Embargo Period
8-15-2016
Keywords
Seasonal Thermal Energy Storage, Numerical Simulation, Thermal Resistance Capacitance Model
Major Advisor
Dr. Lanbo Liu
Associate Advisor
Dr. Vernon Cormier
Associate Advisor
Dr. Gary Robbins
Associate Advisor
Dr. Amvrossios Bagtzoglou
Associate Advisor
Dr. John Lane
Field of Study
Geological Sciences
Degree
Doctor of Philosophy
Open Access
Campus Access
Abstract
Considerable science has been developed over the years for thermal ground modeling along with modern day computational abilities simulating detailed models but little research has been developed for simplifying these models for subsurface geothermal energy storage system for quick site assessments. Particular areas of interest for this research are model development and analysis of thermal energy storage areas. Energy in the form of waste heat from industrial processes can be re-utilized although at the present time there are few process that can utilize this waste energy. This thermal energy can be transformed into alternate forms of energy such as electricity but this requires high temperatures and efficiency losses can be significant. Direct storage of thermal energy in the earths subsurface is currently being research in Europe where “green” energy is flourishing both for environmental and economic reasons. Understanding of heat storage in the shallow earth will be investigated through numerical modeling with the validation of realistic geothermal settings. To achieve this a simplified and novel heat transfer model of the subsurface earth will be developed, verified and used to simulate various scenarios in a current site in China. The ultimate goal is to develop a simple site assessment for thermal energy storage supported by basic research.
Recommended Citation
Rohrbach, Eric A., "Geological and Environmental Considerations for Seasonal Thermal Energy Storage: Numerical Simulation and Scenario Studies with the Thermal Resistance Capacitance Model" (2016). Doctoral Dissertations. 1227.
https://digitalcommons.lib.uconn.edu/dissertations/1227