The suitability of the infinite NTU model for long-term rock bed thermal storage performance simulation

Loading...
Thumbnail Image

Date

Authors

De la Beaujardiere, J.F.P. Pitot

Journal Title

Journal ISSN

Volume Title

Publisher

3rd Southern African Solar Energy Conference, South Africa, 11-13 May, 2015.

Abstract

Paper presented to the 3rd Southern African Solar Energy Conference, South Africa, 11-13 May, 2015.
Packed beds incorporating rock as the storage medium and air as the heat transfer fluid have been proposed as a cost-effective approach for thermal storage in solar power plants. In order to assess the viability of rock bed thermal energy storage (TES), it is essentially necessary to predict the air and rock temperature profiles through the bed during charging and discharging. A number of models are available for this purpose, including, at the more basic level, the popular Hughes “E-NTU” model and the simplified “Infinite NTU” model. Unlike the E-NTU method, the Infinite NTU method assumes an infinite heat transfer coefficient between the air and the rock, which implies equivalent air and rock temperature profiles. Typically, the more detailed a model, the greater the computational effort required to solve it. For long-term analysis, a time-efficient model is necessary to prevent excessively long computation times. This paper evaluates the comparative accuracy and computational efficiency of the E-NTU and Infinite NTU models when simulating the short- and long-term performance of CSP rock bed TES systems. On the basis of these comparisons, the appropriateness of employing the less realistic but less costly Infinite NTU model in the long-term simulation of CSP rock bed TES systems is evaluated.

Description

Keywords

Rock bed thermal storage, Solar power plants, Thermal energy storage, Comparative accuracy, Computational efficiency

Sustainable Development Goals

Citation

De la Beaujardiere, J.F.P.P. 2015, 'The suitability of the infinite NTU model for long-term rock bed thermal storage performance simulation', Paper presented to the 3rd Southern African Solar Energy Conference, South Africa, 11-13 May, 2015.