Identification of suitable storage materials for solar thermal power plant using selection methodology
| Autor: | Lahcen Bouirden, Ahmed Aharoune, Ahmed Ihlal, Rachid Tiskatine |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
020209 energy Energy Engineering and Power Technology Thermal power station 02 engineering and technology Sensible heat 021001 nanoscience & nanotechnology Thermal energy storage Solar energy Industrial and Manufacturing Engineering Characterization (materials science) Thermal conductivity measurement Concentrated solar power Computer data storage 0202 electrical engineering electronic engineering information engineering Forensic engineering Environmental science 0210 nano-technology Process engineering business |
| Zdroj: | Applied Thermal Engineering. 117:591-608 |
| ISSN: | 1359-4311 |
| DOI: | 10.1016/j.applthermaleng.2017.01.107 |
| Popis: | Due to the intermittent nature of solar energy, there is a need to store heat to meet the needs when solar light is not available. Rock bed using air as heat transfer fluid (HTF) is being now used for thermal energy storage (TES) in concentrated solar power (CSP) plants. It is considered as a cost effective storage system. However, no detailed works have been published on selection and identification of rocks for high temperature storage applications. The scope of the present study is to choose the most suitable rocks for high temperature sensible heat storage (SHS) using a methodology based on laboratory measurements. Thus, experimental characterization of several rock types has been performed. An experimental device has been made for thermal conductivity measurement at room temperature. The obtained results show that the gabbro rock is the best candidate material for CSP plants. Comparative study with some other conventional materials found in literature indicates that rock is an efficient filler material for high temperature TES. From the obtained results and correlations, a second selection methodology has been proposed in order to minimize the steps of selection using simple and few tests. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect