A review on experience feedback and numerical modeling of packed-bed thermal energy storage systems. (1st September 2017)

• Record Type: Journal Article
• Authors: Esence, Thibaut; Bruch, Arnaud; Molina, Sophie; Stutz, Benoit; Fourmigué, Jean-François
• Is Part Of: Solar energy. Volume 153(2017)
• Page Start: 628
• Page End: 654
• Publication Date: 2017-09-01
• Subjects: Thermal energy storage -- Packed bed -- Thermocline -- Concentrated solar power (CSP); Solar energy -- Periodicals; Solar engines -- Periodicals; 621.47
• DOI: 10.1016/j.solener.2017.03.032
• Languages: English
• ISSNs: 0038-092X

Abstract

Abstract: Solar thermal energy is a clean, climate-friendly and inexhaustible energy resource. It is therefore promising to cope with fossil fuel depletion and climate change. Thermal storage enables to make this intermittent energy resource dispatchable, reliable on demand and more competitive. Nowadays, most of the concentrated solar power plants equipped with integrated thermal storage systems use the two-tank molten salt technology. Despite its relative simplicity and efficiency, this technology is expensive and requires huge amounts of nitrate salts. In the short to medium term, packed-bed thermal energy storage with either liquid or gaseous heat transfer fluid is a promising alternative to reduce storage costs and hence improve the development of solar energy. To design reliable, efficient and cost-effective packed-bed storage systems, this technology, which involves many physical phenomena, has to be better understood. This paper aims to sum up some key aspects about design, operation, and performances of packed-bed storage systems. In the first part, most representative setups and their experience feedback are presented. The controllability of packed-bed storage systems and the special influence of thermal stratification are pointed out. In the second part, the various numerical models used to predict packed-bed storage performances are reviewed. In the last part, some useful correlations enabling to quantify the main physical phenomena involved in packed-bed operation and modeling are presented and compared. The correlations investigated enable to calculate fluid/solid and fluid/wall heat transfer coefficients, effective thermal conductivity and pressure drop in packed beds.