Towards an optimal aiming for molten salt power towers

Flesch, Robert; Frantz, Cathy; Quinto, Daniel Maldonado; Schwarzbözl, Peter

doi:10.1016/j.solener.2017.07.067

Cited by 38 publications

(29 citation statements)

References 9 publications

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“…For this reason a parametric aiming point assignment method is used to deduce individual aiming points for the heliostat field. [10] This leads to an inhomogeneous and complex heat flux distribution on the receiver. Based on the published data of the Solar Two heliostat field [9], a representative heat flux distribution on the receiver aperture was computed using a ray tracing code.…”

Section: Simulation Of Thermal Field Of Receiver Panelmentioning

confidence: 99%

Stress analysis of external molten salt receiver

Uhlig

Frantz

Flesch

et al. 2018

AIP Conference Proceedings

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Commercial solar thermal power plant projects using central receivers with molten salt as a heat transfer fluid are dominating the market. Due to the complex load situation, especially the inhomogeneous heat flux distribution, the receiver components are subjected to complex thermo-mechanical loads. Transients from operation like clouds, start up and and shut down lead to fatigue of the components. Furthermore, the filling process could be critical due thermal gradients between salt and the metallic components. In this paper, a work flow is presented and results applied at the receiver of the Solar Two experiment to demonstrate the methodology. Thermal models (FE and CFD) are used to deduce the thermal field for different operational situations and a stress analysis is carried out. It was found that highest stresses occur at the absorber tubes for maximum flux density operation (inlet panel). The stresses caused by the filling process are much lower.

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Section: Simulation Of Thermal Field Of Receiver Panelmentioning

confidence: 99%

Stress analysis of external molten salt receiver

Uhlig

Frantz

Flesch

et al. 2018

AIP Conference Proceedings

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“…This virtual plant is placed at the site of the Redstone thermal power plant (28° S and 23° E). More details of the virtual plant can be found in Flesch et al [5].…”

Section: Numerical Model Example Solar Tower Power Plantmentioning

confidence: 99%

“…One full evaluation of the thermal model takes approximately 0.1 s on one core. Again, a more detailed description including a validation of the model can be found in Flesch et al [5].…”

Section: Receiver Modelmentioning

confidence: 99%

“…The design point (12:00) and one off-design point (7:00) are used. Each algorithm is started from two different initial aim point configuration: one of them is a random configuration; the second configuration is obtained using the parameter based strategy described by Flesch et al [5]. For each case both optimization methods are tested with different settings.…”

Section: Simulation Casementioning

confidence: 99%

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Evaluation of aim point optimization methods

Maldonado¹,

Flesch²,

Reinholz³

et al. 2018

AIP Conference Proceedings

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In the present work we applied the universal methodology of Belhomme et. al [3] for optimizing the aim point assignment of a solar power tower with a cylindrical molten salt receiver. The methodology uses a combinatorial formulation of the problem and solves it with the ant colony optimization metaheuristic (ACO). Additionally, the local search algorithm (LS) has been implemented for optimizing the aim point assignment. A realistic simulation scenario, including a numerical receiver model of a receiver with molten salt as heat transfer fluid, is used to analyze both optimization strategies and to compare their performances regarding the thermal output of the receiver.

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“…In a steamdirect PT, steam heated in the receiver directly can achieve a temperature over 550 °C, which is a little higher than the steam temperature (540°C) in a molten-salt PT. Whereas the thermal energy storage capability is higher in a molten-salt PT, with which the PT can be decoupled from electricity generation [11,12], endows the solar tower power plant the load peak shaving capacity.…”

Section: Introductionmentioning

confidence: 99%

Dynamic simulation of steam generation system in solar tower power plant

Zhang

Wang

et al. 2019

Renewable Energy

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Concentrated solar power plant (CSP) with thermal energy storage can be operated as peak load shaving plant, which is one of the most economic solutions to the intermittency of renewable energy grid. The steam generation system (SGS) is the central hub between the heat transfer fluid and the working fluid of CSP, of which the dynamic characteristics need to be further investigated. The SGS of Solar Two power tower plant with the molten salt as both the heat transfer fluid and storage media is selected as the object. The mathematical model with lumped parameter method is developed to analyze its dynamic characteristics. Model validation is carried out and it shows that the proposed model can simulate the characteristics of SGS in an accurate manner. Five simulation tests were carried out under the disturbances that the molten salt solar tower power plant may encounter under various solar irradiation and output electrical load. Both the dynamic and static

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Towards an optimal aiming for molten salt power towers

Cited by 38 publications

References 9 publications

Stress analysis of external molten salt receiver

Stress analysis of external molten salt receiver

Evaluation of aim point optimization methods

Dynamic simulation of steam generation system in solar tower power plant

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