
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Analysis of recovery efficiency in high-temperature aquifer thermal energy storage: a Rayleigh-based method

High-temperature aquifer thermal energy storage (HT-ATES) is an important technique for energy conservation. A controlling factor for the economic feasibility of HT-ATES is the recovery efficiency. Due to the effects of density-driven flow (free convection), HTATES systems applied in permeable aquifers typically have lower recovery efficiencies than conventional (lowtemperature) ATES systems. For a reliable estimation of the recovery efficiency it is, therefore, important to take the effect of density-driven flow into account. A numerical evaluation of the prime factors influencing the recovery efficiency of HT-ATES systems is presented. Sensitivity runs evaluating the effects of aquifer properties, as well as operational variables, were performed to deduce the most important factors that control the recovery efficiency. A correlation was found between the dimensionless Rayleigh number (a measure of the relative strength of free convection) and the calculated recovery efficiencies. Basedona modified Rayleigh number, two simple analytical solutions are proposed to calculate the recovery efficiency, each one covering a different range of aquifer thicknesses. The analytical solutions accurately reproduce all numerically modeled scenarios with an average error of less than 3%. The proposed method can be of practical use when considering or designing an HT-ATES system.
- Vrije Universiteit Amsterdam Netherlands
- Utrecht University Netherlands
The Netherlands, Aquifer thermal energy storage, Thermal systems, Numerical modeling, Earth and Planetary Sciences (miscellaneous), SDG 7 - Affordable and Clean Energy, Density-drivenflow, Water Science and Technology
The Netherlands, Aquifer thermal energy storage, Thermal systems, Numerical modeling, Earth and Planetary Sciences (miscellaneous), SDG 7 - Affordable and Clean Energy, Density-drivenflow, Water Science and Technology
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).56 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
