3D CFD wind flow analysis technique applied to a parabolic solar tracker for two extreme weather conditions with experimental results and a controller proposition

Oliver Huerta Chavez, Jorge Díaz Salgado, Chistrian Ortiz Cil, Jose Jimenez Escalona, Sergio Torres Cedillo, Ruben Cuamatzi

Research output: Contribution to journalArticleResearchpeer-review

Abstract

© 2019 Author(s). This work presents a Computational Fluid Dynamics (CFD) wind flow analysis technique applied to a Parabolic Solar Tracker (PST) using a three-dimensional Reynolds-Averaged Navier-Stokes Method. The modeling technique considered two extreme weather conditions named: (i) North Wind (NW) and (ii) Severe Convective Storms (SCSs), both of which can severely affect the integrity and the position control of a PST under operational conditions. The NW case simulated was validated using experimental data without bottom effects in order to verify the degree of approximation between the numerical results obtained in each approach and measurement data. It was observed that the simulated data were satisfactory in most cases, with predictions on the order of 77% compared to the measured data. The numerical CFD results at different heights for both cases, NW and SCS, were also verified. Finally, the CFD wind flow analysis technique results were used to: (i) establish both analytical and numerical models for dynamic and steady state analysis, control design, and simulation purposes and (ii) consequently design a closed loop controller which can minimize the wind effects.
Original languageAmerican English
JournalJournal of Renewable and Sustainable Energy
DOIs
StatePublished - 1 Mar 2019

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Computational fluid dynamics
Controllers
Wind effects
Position control
Numerical models
Analytical models

Cite this

@article{d3fc8ba9877f4381ac150086a0b66a5b,
title = "3D CFD wind flow analysis technique applied to a parabolic solar tracker for two extreme weather conditions with experimental results and a controller proposition",
abstract = "{\circledC} 2019 Author(s). This work presents a Computational Fluid Dynamics (CFD) wind flow analysis technique applied to a Parabolic Solar Tracker (PST) using a three-dimensional Reynolds-Averaged Navier-Stokes Method. The modeling technique considered two extreme weather conditions named: (i) North Wind (NW) and (ii) Severe Convective Storms (SCSs), both of which can severely affect the integrity and the position control of a PST under operational conditions. The NW case simulated was validated using experimental data without bottom effects in order to verify the degree of approximation between the numerical results obtained in each approach and measurement data. It was observed that the simulated data were satisfactory in most cases, with predictions on the order of 77{\%} compared to the measured data. The numerical CFD results at different heights for both cases, NW and SCS, were also verified. Finally, the CFD wind flow analysis technique results were used to: (i) establish both analytical and numerical models for dynamic and steady state analysis, control design, and simulation purposes and (ii) consequently design a closed loop controller which can minimize the wind effects.",
author = "{Huerta Chavez}, Oliver and {D{\'i}az Salgado}, Jorge and {Ortiz Cil}, Chistrian and {Jimenez Escalona}, Jose and {Torres Cedillo}, Sergio and Ruben Cuamatzi",
year = "2019",
month = "3",
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doi = "10.1063/1.5054004",
language = "American English",
journal = "Journal of Renewable and Sustainable Energy",
issn = "1941-7012",
publisher = "American Institute of Physics",

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3D CFD wind flow analysis technique applied to a parabolic solar tracker for two extreme weather conditions with experimental results and a controller proposition. / Huerta Chavez, Oliver; Díaz Salgado, Jorge; Ortiz Cil, Chistrian; Jimenez Escalona, Jose; Torres Cedillo, Sergio; Cuamatzi, Ruben.

In: Journal of Renewable and Sustainable Energy, 01.03.2019.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Huerta Chavez, Oliver

AU - Díaz Salgado, Jorge

AU - Ortiz Cil, Chistrian

AU - Jimenez Escalona, Jose

AU - Torres Cedillo, Sergio

AU - Cuamatzi, Ruben

PY - 2019/3/1

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N2 - © 2019 Author(s). This work presents a Computational Fluid Dynamics (CFD) wind flow analysis technique applied to a Parabolic Solar Tracker (PST) using a three-dimensional Reynolds-Averaged Navier-Stokes Method. The modeling technique considered two extreme weather conditions named: (i) North Wind (NW) and (ii) Severe Convective Storms (SCSs), both of which can severely affect the integrity and the position control of a PST under operational conditions. The NW case simulated was validated using experimental data without bottom effects in order to verify the degree of approximation between the numerical results obtained in each approach and measurement data. It was observed that the simulated data were satisfactory in most cases, with predictions on the order of 77% compared to the measured data. The numerical CFD results at different heights for both cases, NW and SCS, were also verified. Finally, the CFD wind flow analysis technique results were used to: (i) establish both analytical and numerical models for dynamic and steady state analysis, control design, and simulation purposes and (ii) consequently design a closed loop controller which can minimize the wind effects.

AB - © 2019 Author(s). This work presents a Computational Fluid Dynamics (CFD) wind flow analysis technique applied to a Parabolic Solar Tracker (PST) using a three-dimensional Reynolds-Averaged Navier-Stokes Method. The modeling technique considered two extreme weather conditions named: (i) North Wind (NW) and (ii) Severe Convective Storms (SCSs), both of which can severely affect the integrity and the position control of a PST under operational conditions. The NW case simulated was validated using experimental data without bottom effects in order to verify the degree of approximation between the numerical results obtained in each approach and measurement data. It was observed that the simulated data were satisfactory in most cases, with predictions on the order of 77% compared to the measured data. The numerical CFD results at different heights for both cases, NW and SCS, were also verified. Finally, the CFD wind flow analysis technique results were used to: (i) establish both analytical and numerical models for dynamic and steady state analysis, control design, and simulation purposes and (ii) consequently design a closed loop controller which can minimize the wind effects.

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