Optical Analysis and Thermal Modeling of a Window for a Small Particle Solar Receiver

Mecit, Ahmet Murat; Miller, Fletcher; Whitmore, Alexander Jason

doi:10.1016/j.egypro.2014.03.049

Cited by 8 publications

(5 citation statements)

References 7 publications

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“…As for the inlet section, a mass flow inlet boundary condition is employed to set the mass flow rate and calculate the pressure drop through the receiver. Finally, the window temperature is not calculated, but it is imposed as a Dirichlet boundary condition between 800 K and 850 K, based on the preliminary results by Mecit et al (2014). Full window coupling will be included in future publications.…”

Section: Cfd Modelmentioning

confidence: 99%

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Performance analysis and preliminary design optimization of a Small Particle Heat Exchange Receiver for solar tower power plants

Fernández

Miller

2015

Solar Energy

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A multidisciplinary design optimization of the 5 MW th , demonstration-scale Small Particle Heat Exchange Receiver (SPHER) developed under the U.S. DOE SunShot Initiative is presented. SPHER is a revolutionary, high-temperature central receiver designed to drive a Brayton cycle or combined-cycle CSP plant that is expected to increase the overall efficiency of solar plants. The design space considered here consists of the geometry of the window, the lateral wall angle of the receiver, and the radiative properties of the walls. As a result of the optimization, the receiver efficiency is increased by 6% with respect to the baseline design.

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Section: Cfd Modelmentioning

confidence: 99%

“…Further stress (Saung and Miller, 2014) and thermal (Mecit et al, 2014) analyses of the two geometries are currently under study.…”

Section: Window Geometry Optimizationmentioning

confidence: 99%

Performance analysis and preliminary design optimization of a Small Particle Heat Exchange Receiver for solar tower power plants

Fernández

Miller

2015

Solar Energy

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“…For computational studies, various software tools have been developed including HFLCAL (Schwarzbözl et al, 2009), MIRVAL (Leary and Hankins 1979), DELSOL (Kistler, 2009), SOLTRACE (Wendelin and Wagner, 2018), etc. Many investigators have used those software packages to estimate solar flux distribution (Mecit et al, 2014;He et al, 2019;Zhu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

An Investigation of the Optimum Solar Flux Distribution on a Large-Scale Particle Heating Receiver

et al. 2022

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Solid particles have been shown to be an effective heat transmission as well as thermal storage medium for falling particle receiver based solar power systems at temperatures up to 1,000°C. The temperature distribution on the surface of the falling particle receiver is critical. High temperatures, thermal shocks, and temperature gradients produce substantial stresses on the receiver due to high, fluctuating, and non-homogeneous solar flux. To this effect, the optimum control of the heliostats’ aiming points is one of the obstacles that must be overcome. The flux distribution on the receiver surface must be carefully managed to avoid dangerous flux peaks or excessive temperature gradients which might result in local hot spots resulting in damage of the receiver’s internal components over time. To overcome this problem, specifying multiple aiming points on the receiver aperture may control the solar flux distribution. In this study both single and multi aiming points strategies are applied by assigning a group of heliostats to a specific aim point on the receiver, resulting in a uniform flux distribution over the receiver surface. Engineering software packages SolarPILOT, SOLTRACE and MATLAB are used in combination to get the optimal flux distribution. The results showed that the flux distribution is improved significantly after employing the multi aiming points strategy at the expense of greater spillage.

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“…Rinaldi et al [37] computed the incident flux on the simplified tube panels of a MTCR in PS10 by DELSOL3. Mecit et al [38] used MIRVAL to compute the incident flux on the aperture of a particle receiver in the heliostat field at the National Solar Thermal Test Facility of Sandia National Laboratories. Yao et al [39] developed HFLD and used it to compute the incident flux on the MTCR's aperture in DAHAN plant and optimize the heliostat field.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive model for analysis of real-time optical performance of a solar power tower with a multi-tube cavity receiver

Qiu

et al. 2017

Applied Energy

119

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A comprehensive model for analysis of the real-time optical performance of a Solar Power Tower (SPT) with a Multi-Tube Cavity Receiver (MTCR) was developed using Monte Carlo Ray Tracing (MCRT) method. After validation, the model was used to study the optical performance of the DAHAN plant. The model-obtained results show that the solar flux in the MTCR exhibits a significant non-uniformity, showing a maximum flux of 5.141×10 5 W•m-2 on the tubes. A comparison of the tracking models indicates that it is a good practice to treat the tracking errors as the random errors of the tracking angles when considering the random effect on the solar flux distribution. Study also indicates that multi-point aiming strategy of tracking helps homogenizing the flux and reducing the energy maldistribution among the tubes. Additionally, time-dependent optical efficiencies were investigated, and the yearly efficiency for the energy absorbed by the tubes was found to be 65.9%. At the end of the study, the cavity effect on the efficiency was revealed quantitatively, which indicates that the optical loss can be reduced significantly by the cavity effect, especially when the coating absorptivity is relatively low. It is concluded that the present model is reliable and suitable for predicting both the detailed solar flux and the real-time efficiency of SPT.

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Optical Analysis and Thermal Modeling of a Window for a Small Particle Solar Receiver

Cited by 8 publications

References 7 publications

Performance analysis and preliminary design optimization of a Small Particle Heat Exchange Receiver for solar tower power plants

Performance analysis and preliminary design optimization of a Small Particle Heat Exchange Receiver for solar tower power plants

An Investigation of the Optimum Solar Flux Distribution on a Large-Scale Particle Heating Receiver

A comprehensive model for analysis of real-time optical performance of a solar power tower with a multi-tube cavity receiver

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