A Step-by-step Guide to Developing Innovative Computational
Tools for Shallow Geothermal Systems
Geothermal heat is a viable source of energy and its environmental
impact in terms of CO2 emissions is significantly lower than
conventional fossil fuels. Shallow geothermal systems are
increasingly utilized for heating and cooling of buildings and
greenhouses. However, their utilization is inconsistent with the
enormous amount of energy available underneath the surface of the
earth. Projects of this nature are not getting the public support
they deserve because of the uncertainties associated with them, and
this can primarily be attributed to the lack of appropriate
computational tools necessary to carry out effective designs and
analyses. For this energy field to have a better competitive
position in the renewable energy market, it is vital that engineers
acquire computational tools, which are accurate, versatile and
efficient. This book aims at attaining such tools.
This book addresses computational modeling of shallow geothermal
systems in considerable detail, and provides researchers and
developers in computational mechanics, geosciences, geology and
geothermal engineering with the means to develop computational
tools capable of modeling the complicated nature of heat flow in
shallow geothermal systems in rather straightforward methodologies.
Coupled conduction-convection models for heat flow in borehole heat
exchangers and the surrounding soil mass are formulated and solved
using analytical, semi-analytical and numerical methods. Background
theories, enhanced by numerical examples, necessary for formulating
the models and conducting the solutions are thoroughly
addressed.
The book emphasizes two main aspects: mathematical modeling and
computational procedures. In geothermics, both aspects are
considerably challenging because of the involved geometry and
physical processes. However, they are highly stimulating and
inspiring. A good combination of mathematical modeling and
computational procedures can greatly reduce the computational
efforts. This book thoroughly treats this issue and introduces
step-by-step methodologies for developing innovative computational
models, which are both rigorous and computationally efficient.
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