期刊
ENERGY
卷 200, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.117476
关键词
Solar energy; Volumetric receiver; Porous media; Thermal efficiency; Pressure drop; Optimisation
资金
- Portuguese National Science Foundation - FCT (Fundacao para a Ciencia e a Tecnologia) [SFRH/BD/115923/2016]
- European Union through the European Regional Development Fund
- COMPETE 2020 (Operational Program Competitiveness and Internationalization) through the ICT project [UID/GEO/04683/2019, POCI-01-0145-FEDER-007690]
- Fundação para a Ciência e a Tecnologia [UID/GEO/04683/2019, SFRH/BD/115923/2016] Funding Source: FCT
In recent years, research on the usage of porous materials as volumetric thermal receivers in concentrated solar power plants is growing significantly. This interest is due to their capabilities to improve the efficiency of solar radiation conversion into thermal energy. In this work, detailed parametric analysis and optimisation of the thermal and hydrodynamic performance of porous volumetric receivers are performed using a detailed numerical model. The transport and absorption of solar radiation is modelled through a Monte Carlo Ray Tracing algorithm, while the governing equations of fluid flow and heat transfer are solved using a Computational Fluid Dynamics model. The mean temperature of the fluid at the outlet, thermal efficiency and pressure drop across the receiver are investigated through a parametric analysis and optimisation for different values of porosity, pores size and inlet fluid velocity. The receiver of choice should have high thermal efficiency without greatly increasing the pressure drop and not decreasing the mean fluid temperature at the outlet. Results show that these conditions are achieved for receivers with high porosity (0.8 - 0.9) and pores size (4.5 - 3 mm). For a given receiver porosity, there is a pores size value that maximises thermal efficiency, being this value lower for high porosity. (C) 2020 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据