Session: 06-04: CSP Receivers and Reactors III

Paper Number: 163967

163967 - Prototype Modeling for a Light-Trapping Planar-Cavity Enclosed Particle Solar Receiver 

Abstract: 

Concentrating solar thermal (CST) systems present a promising avenue for affordable and reliable energy production. Solar receivers are key components that determine the efficiency and longevity of these systems. Particle-based solar receivers have emerged as a compelling alternative to traditional technologies, offering several advantages that address limitations in current CST systems. This is especially true as next-generation CST technologies target applications including electricity generation, thermochemical processes, and industrial process heat, many of which necessitate higher operating temperatures than current commercial molten salt systems. Molten-salt thermal energy storage (TES) systems, commonly used in CSP, face challenges related to freezing and corrosion. Particle-based TES systems, in contrast, do not experience these issues, as particles are stable at high temperatures, exceeding 1000°C. This capability allows for a wider range of applications, including those requiring higher temperatures for industrial processes and efficient electricity generation. 
A novel innovation in particle-based solar receiver technology is the light-trapping planar cavity receiver (LTPCR) configuration developed by NREL. The LTPCR design consists of small cavity-like structures using opaque planar surfaces, enabling efficient capture and absorption of solar energy. A high incident flux concentration at the cavity aperture is absorbed on the receiver walls, and subsequently transferred to particles on the inside of cavities. The particles flow through the system, forming a fluidized bed inside of the receiver panels, effectively capturing the absorbed solar heat. Air is used as a fluidizing medium in this process to enhance particle heat transfer and mixing. The effectiveness of this design lies in its ability to manage solar flux conditions and ensure high solar-to-thermal receiver efficiency. 
A 100-kW prototype is currently being tested at the King Saud University in Saudi Arabia to assess the receiver performance. A range of modeling analyses for the optical, thermal, and mechanical effects were conducted to assess the performance of the receiver under on-sun conditions. The solar flux resulting from the KSU heliostat field was modeled using NREL SolTrace software and produced up to 600 kW/m2 at the receiver aperture. The solar flux absorbed on the receiver walls was then used within a computational fluid dynamics (CFD) model to predict wall temperature distributions along with radiation and convection loss. A two-phase CFD model was developed for the fluidized bed of silica sand inside the receiver panels to predict local wall-to-particle heat transfer coefficients, particle temperature distributions, and outlet temperature of the particles.  
We have also conducted analyses to understand the thermomechanical behavior of these innovative enclosed light-trapping solar receivers optimized for particle heating. We used finite element analysis (FEA) to predict the receiver’s performance using temperature distributions obtained from CFD and based on the resulting stress profiles, evaluated creep-fatigue damage with a goal of achieving a 30-year service life. Analysis showed a significant impact of the particle-to-wall heat transfer coefficients (HTCs) on receiver performance, with higher HTCs resulting in reduced stress and increased lifespan. For instance, when using Inconel 740H, increasing the HTC from 800 W/m²·K to 1400 W/m²·K increased the creep life from 4,000 hours to over 100,000 hours. This highlights the importance of understanding and optimizing heat transfer in the design of high-efficiency receivers.

Presenting Author: Munjal Shah National Renewable Energy Laboratory (NREL)

Presenting Author Biography: Munjal Shah is a Thermal Energy Systems Group researcher at the National Renewable Energy Laboratory (NREL) since 2023. His expertise includes computational fluid dynamics (CFD), finite element modeling, and machine learning. His research includes thermal and mechanical modeling for particle-based concentrated solar power (CSP) receivers, aiming to accelerate industry decarbonization. He also works on the development of thermal energy systems for industrial process heat (IPH) applications and Long-duration energy storage technologies (LDES). Munjal actively participates in CSP and thermal energy storage (TES) research, leveraging high-performance computing for advanced fluid and thermal modeling. He also leads projects focused on dispersion modeling of hydrogen for development and deployment of hydrogen sensor safety technologies for hydrogen storage facilities.