Elsevier

Computers and Geotechnics

Volume 104, December 2018, Pages 140-151
Computers and Geotechnics

Research Paper
A robust prediction model approach to energy geo-structure design

https://doi.org/10.1016/j.compgeo.2018.08.012Get rights and content

Abstract

Energy geo-structures, such as piles or retaining walls, provide geothermal space heating and cooling, in addition to their structural purposes. The thermal design of these structures is undertaken on a case by case basis, commonly using costly finite element simulations, especially for complex geometries. This work introduces a simple but robust prediction methodology that can be used alongside such simulations to significantly reduce computational time and resources for the analysis of any energy geo-structure. An evaluation is presented and exemplified with energy diaphragm walls, for a range of geometrical and material conditions, showing insignificant prediction errors and vast computational savings.

Section snippets

Ground source heat pump systems and energy geo-structures

Transitioning towards cleaner and more renewable sources of energy and finding ways to reduce energy consumption are considered as essential means to ensure a sustainable future. A technology that can contribute towards these goals is shallow geothermal, which uses the ground as a heat source or sink to efficiently heat and cool buildings, by utilising the fact that the ground temperature a few tens of metres below the surface is relatively constant throughout the year [1]. Shallow geothermal,

Energy geo-structures and current approaches

As explained in Section 1, an important question needed to be answered in geothermal design as well as in research of energy geo-structures is how much energy can the system provide [21], [22], instead of how does the system need to be designed to provide the target energy demand, as in traditional GSHP design. Knowing how much energy the system can reliably provide is important, as it enables an evaluation of its applicability for a given project to be performed, including a cost-benefit

Prediction model evaluation methodology

This section presents the tools used to evaluate the accuracy of the prediction methodology presented. Firstly, an overview of the finite element modelling used to generate the numerical simulations is given, including the details of the case study adopted, such as the geometry and material parameters used. An explanation of the thermal loads adopted in the testing is also presented, showing how the percentages of cooling and heating are calculated. Lastly, a more comprehensive expanded

Results and Discussion

This section utilises the outputs of 2520 solved numerical simulations (each requiring a running time between 1 and 3 h utilising high performance computing) to present a thorough evaluation of the prediction methodology, starting from a specific set of design parameters and continuing to an expanded overall evaluation for all 360 possible parameter combinations (i.e., all possible combinations of λground, λconcrete, Lwall, s for the values in Table 3). The effect of the fluid temperature

Summary and Conclusions

This work presented a prediction methodology that can be used alongside numerical simulations to greatly hasten and ease the design process for energy geo-structures. The methodology uses a simple but robust prediction model created using results from two numerical simulations and can aid in calculating how much thermal energy the GSHP system can reliably provide. This work selected energy retaining walls as a case study to perform the evaluation of the prediction model; however, it is expected

Acknowledgements

Funding from the Australian Research Council (ARC) FT140100227, The University of Melbourne, the Cambridge Centre for Smart Infrastructure and Construction (via the Global University Alliance), and the Victorian Government is much appreciated.

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