A novel integrated simulation approach couples MCRT and Gebhart methods to simulate solar radiation transfer in a solar power tower system with a cavity receiver

Wang, Kun; He, Ya-Ling; Qiu, Yu; Zhang, Kun

doi:10.1016/j.renene.2015.11.069

Cited by 82 publications

(19 citation statements)

References 52 publications

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“…Aim point optimization requires predicting the flux profile over the receiver surface, i.e., optical modelling [3,10,14]. It serves to guide the search by estimating the performance of different solutions (linked to off-line optimization [17]) and to predict the effect of different actions (related to on-line control tasks).…”

Section: On Predicting the Behavior Of The Target Fieldmentioning

confidence: 99%

“…The numerical approach consists in simulating multiple rays through several optical stages to study their interaction with the environment. It is known as ray-tracing and can be done with software packages such as STRAL, SolTrace and Tonatiuh [3,13,21]. The analytical methods model the flux maps with mathematical functions such as circular Gaussian distributions as HFLCAL [13,21].…”

Section: On Predicting the Behavior Of The Target Fieldmentioning

confidence: 99%

“…The pollution and depletion problems associated with electricity generation through traditional fuel-based technologies have increased the interest in renewable energy [1][2][3]. Concentrated Solar Power systems (CSP) are especially attractive because of their hybridization capabilities, as well as, their production stability through thermal storage [4].…”

Section: Introductionmentioning

confidence: 99%

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A Simple and Effective Heuristic Control System for the Heliostat Field of Solar Power Tower Plants

Cruz¹,

Álvarez²,

Redondo³

et al. 2020

ACTA POLYTECH HUNG

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Solar power tower plants use large arrays of mirrors, known as heliostats, to concentrate solar radiation on their receiver and heat the working fluid inside them. However, receivers must not be under thermal stress. Otherwise, their life expectancy is reduced, which affects the cost and viability of production plant. Controlling the flux distributions on receivers requires selecting the active heliostats and their target points. It is a challenging task that should not be under the responsibility and expertise of human operators only. This work defines a closed-loop controller to keep the setpoint or desired flux map under certain conditions. It combines real measurements and an ad-hoc analytical model of the target field with a set of heuristic rules that covers how to activate, deactivate, and re-aim heliostats. The proposed system has been applied to a model of the CESA-I field at the Solar Platform of Almería. The open-source ray-tracer Tonatiuh represents the reality. The initial operation point has been determined with a theoretical flux distribution optimizer. According to the experimentation, the controller improves the initial and modelbased flux distribution by raising its power from 708.4 to 736.4 kW (with a setpoint of 739.6 kW).

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Section: On Predicting the Behavior Of The Target Fieldmentioning

confidence: 99%

Section: On Predicting the Behavior Of The Target Fieldmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Simple and Effective Heuristic Control System for the Heliostat Field of Solar Power Tower Plants

Cruz¹,

Álvarez²,

Redondo³

et al. 2020

ACTA POLYTECH HUNG

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“…Many studies have investigated the optical and thermal performance of solar receivers. Wang et al proposed an integrated approach to simulate solar radiation transfer inside a cavity receiver. Monte Carlo ray‐tracing method and Gebhart method are combined in his approach.…”

Section: Introductionmentioning

confidence: 99%

Cavity receiver thermal performance analysis based on total heat loss coefficient and efficiency factor

Zhang

Wang

et al. 2018

Int J Energy Res

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Summary A cavity structure effectively decreases the heat loss of a receiver. This paper applies the widely used collector analysis method to derive the total heat loss coefficient and efficiency factor for a cavity receiver. Based on the derived factors, this paper investigates the effect of different parameters, such as absorber surface temperature and emissivity, on thermal performance. The absorber surface emissivity significantly affects the total heat loss coefficient at high temperatures. The effect of the absorber surface temperature on the total heat loss coefficient is significant, while the effect of the ambient temperature on the total heat loss coefficient can be ignored. The present results can help to determine the testing conditions for the cavity receiver by using molten salt as the heat transfer fluid.

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“…In this paper, the heat transfer characteristics and the thermal performance of a PTC using s-CO 2 [14,34,48,49]. In the model, the solar radiation transfer within the PTC is simulated by MCRT, and the heat transfer within the receiver is simulated by combining MCRT and FVM.…”

Section: Introductionmentioning

confidence: 99%

Thermal performance analysis of a parabolic trough solar collector using supercritical CO2 as heat transfer fluid under non-uniform solar flux

Qiu

Sun

2017

Applied Thermal Engineering

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209

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A novel integrated simulation approach couples MCRT and Gebhart methods to simulate solar radiation transfer in a solar power tower system with a cavity receiver

Cited by 82 publications

References 52 publications

A Simple and Effective Heuristic Control System for the Heliostat Field of Solar Power Tower Plants

A Simple and Effective Heuristic Control System for the Heliostat Field of Solar Power Tower Plants

Cavity receiver thermal performance analysis based on total heat loss coefficient and efficiency factor

Thermal performance analysis of a parabolic trough solar collector using supercritical CO2 as heat transfer fluid under non-uniform solar flux

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