AccScience Publishing / IJOCTA / Online First / DOI: 10.36922/IJOCTA026160064
Cite this article
28
Download
149
Views
Related Info Links
More by Authors Links
Journal Browser
Volume | Year
Issue
Search
News and Announcements
View All
RESEARCH ARTICLE

Model selection and performance evaluation of solar chimney systems using CFD and multivariate analysis with Chernoff faces

Alberto Hananel1* Rodolfo García1 Alejandro Vera1 Sandra Loaiza1 Iván Soto2
Show Less
1 Department of Engineering, Faculty of Engineering, Santo Toribio de Mogrovejo Catholic University, Chiclayo, Lambayeque, Peru
2 Graduate School, Faculty of Engineering, Universidad Peruana Unión, Ñaña, Lima, Peru
Received: 18 April 2025 | Revised: 1 June 2025 | Accepted: 1 June 2025 | Published online: 24 June 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

This paper presents an integrated study combining computational fluid dynamics (CFD) and multivariate statistical analysis for solar chimney optimization. The Manzanares plant was adopted as a reference model and simulated in ANSYS Fluent to generate a dataset for parametric evaluation. Eleven regression models were examined to describe air velocity as a function of the scale parameter, and their formulations were validated using statistical metrics and graphical multivariate analysis. The methodology introduces Chernoff faces as a visual–statistical tool to encode multiple performance indicators per model, enabling a structured comparison beyond conventional criteria. The powerlaw model proved the most suitable, showing strong goodness-of-fit, physical consistency, and stable behavior across scenarios. Specific equations were derived for different irradiance levels, and system efficiency and power output were estimated and compared with previous studies. The results confirm that geometric down-scaling significantly reduces performance. The proposed visual–statistical framework provides a robust and interpretable approach for model selection and performance assessment in solar energy systems, offering a novel and reproducible multivariate strategy for engineering design and optimization.

Keywords
Computational fluid dynamics (CFD)
Solar chimney power plants
Model selection
Nonlinear regression models
Chernoff faces
Multivariate analysis
Funding
This research was financially supported by the Santo Toribio de Mogrovejo Catholic University (USAT), Peru (005-2025-USAT-RTDO).
Conflict of interest
The authors declare they have no competing interests.
References

1. Pinto Santos AR, Cortés Peña OF. ¿Qué piensan los estudiantes universitarios frente a la formación investigativa? REDU. Revista de Docencia Universitaria. 2017;15(2):57-75. https://doi.org/10.4995/redu.2017.6059

 

2. Chernoff H. The Use of Faces to Represent Points in k-Dimensional Space Graphically. J Am Stat Assoc. 1973;68(342):361-368. https://doi.org/10.1080/01621459.1973.10482434

 

3. Flury B, Riedwyl H. Graphical Representation of Multivariate Data by Means of Asymmetrical Faces. J Am Stat Assoc. 1981;76(376):757-765. https://doi.org/10.1080/01621459.1981.10477718

 

4. Hananel A, Loaiza S, Collantes L. Enhancing academic performance of engineering students: A multivariate statistical analysis of grades in a Mathematics course. Interact. Des. Archit.(s). 2024;63:268-299. https://doi.org/10.55612/s-5002-063-012

 

5. Olmos EG. Students performance: A methodology for its measurement. Economía. 1997;22(13):7-25. Accessed Jun 18, 2026. https://EconPapers.repec.org/RePEc:ula:econom:v:22:y:1997:i:13:p:7-25.

 

6. Haaf W, Friedrich K, Mayr G, Schlaich J. Solar chimneys part I: principle and construction of the pilot plant in Manzanares. Int J Sol Energy. 1983;2(1):3-20. http://doi.org/10.1080/01425918308909911

 

7. Herrada H, Jiménez M. In situ measurement of heat transfer coefficient and solar aperture of insulated dwellings using the dynamic integrated method. Appl Therm Eng. 2022;200. https://doi.org/10.1016/j.applthermaleng.2021.117644

 

8. Avial M, Chourio E, Casadei Carniel L, Vargas Z. El software matemático como herramienta para el desarrollo de habilidades del pensamiento y el mejoramiento del aprendizaje de las matemáticas. Rev Electrón Actual Investig Educ. 2007;7. Accessed Jun 18, 2026. https://www.redalyc.org/pdf/447/44770209.pdf.

 

9. Medina Martínez NF. Las variables complejas en investigaciones pedagógicas. Apuntes Universitarios. 2015;5(2):9-18. https://doi.org/10.17162/au.v0i2.244

 

10. Xu Y, Zhou X. Performance of divergent-chimney solar power plants. Sol Energy. 2018;170:379-387. https://doi.org/10.1016/j.solener.2018.05.068

 

11. Hu S, Leung DYC, Chan JCY. Numerical modelling and comparison of the performance of diffuser-type solar chimneys for power generation. Appl Energy. 2017;204:948-957. https://doi.org/10.1016/j.apenergy.2017.03.040

 

12. Mebarki A, Sekhri A, Assassi A, Hanafi A, Marir B. CFD analysis of solar chimney power plant: Finding a relationship between model minimization and its performance for use in urban areas. Energy Rep. 2022;8:500-513. https://doi.org/10.1016/j.egyr.2021.12.008

 

13. Murena F, Gaggiano I, Mele B. Fluid dynamic performances of a solar chimney plant: Analysis of experimental data and CFD modelling. Energy. 2022;249. https://doi.org/10.1016/j.energy.2022.123

 

14. Cuce E, Cuce PM, Carlucci S, et al. Solar Chimney Power Plants: A Review of the Concepts, Designs and Performances. Sustainability. 2022;14(3):1450. https://doi.org/10.3390/su14031450

 

15. Biswas N, Mandal DK, Bose S, Manna NK, Benim AC. Experimental Treatment of Solar Chimney Power Plant—A Comprehensive Review. Energies. 2023;16(17):6134. https://doi.org/10.3390/en16176134

 

16. Mehranfar S, Gharehghani A, Azizi A, Mahmoudzadeh Andwari A, Pesyridis A, Jouhara H. Comparative assessment of innovative methods to improve solar chimney power plant efficiency. Sustain Energy Technol Assess. 2022;49:101807. https://doi.org/10.1016/j.seta.2021.101807

 

17. Zhu L, Khdair AI, Aghaei A, Zalipour K, Chen H, Afrand M. A comprehensive review of solar chimney power plants: technology, performance, and future prospects. Sustain Energy Technol Assess. 2025;81:104413. https://doi.org/10.1016/j.seta.2025.104413

 

18. Xiong H, Ming T, Shi T, et al. Numerical investigation on performance of solar chimney power plant with three wind resistant structures. Energy. 2024;297:131262. https://doi.org/10.1016/j.energy.2024.131262

 

19. Rahimi-Larki M, Arefian A, Nazari S, Torkfar A, Hosseini-Abardeh R, Sarlak H. Performance investigation of a sloped collector solar chimney system exposed to the ambient crosswind. Energy. 2025;318:134732. https://doi.org/10.1016/j.energy.2025.134732

 

20. Maia CB, Castro Silva JdO. CFD Analysis of a Small-Scale Solar Chimney Exposed to Ambient Crosswind. Sustainability. 2022;14(22):15208. https://doi.org/10.3390/su142215208

 

21. Arefian A, Hosseini-Abardeh R, Rahimi-Larki M, Torkfar A, Sarlak H. A comprehensive analysis of time-dependent performance of a solar chimney power plant equipped with a thermal energy storage system. Renew Sustain Energy Rev. 2024;189:114051. https://doi.org/10.1016/j.rser.2023.114051

 

22. Huang S, Li W, Lu J, Li Y, Wang Z, Zhu S. Experimental study on thermal performances of a solar chimney with and without PCM under different system inclination angles. Energy. 2024;290:130154. https://doi.org/10.1016/j.energy.2023.130154

 

23. Esmail MFC, A-Elmagid WM, Mekhail T, Al-Helal IM, Shady M. A numerical comparative study of axial flow turbines for solar chimney power plant. Case Stud Therm Eng. 2021;26:101046. https://doi.org/10.1016/j.csite.2021.101046

 

24. Caicedo P, Wood D, Johansen C. Radial Turbine Design for Solar Chimney Power Plants. Energies. 2021;14(3):674. https://doi.org/10.3390/en14030674

 

25. Fertahi SE, Moeneclaey-Masson C, Guimerà R, Belarbi R, Revol E. CFD Validation in Solar Chimney Power Plants: A Comparison of Modeling Approaches. Fluids. 2024;9(11):251. https://doi.org/10.3390/fluids9110251

 

26. Cuce PM, Cuce E, Mandal DK, et al. ANN and CFD driven research on main performance characteristics of solar chimney power plants: Impact of chimney and collector angle. Case Stud Therm Eng. 2024;60:104568. https://doi.org/10.1016/j.csite.2024.104568

 

27. Mandal DK, Gupta KK, Biswas N, Manna NK, Santra S, Benim AC. Optimization of hybrid solar chimney power plants (HSCPPs): A review of multi-objective approaches. Appl Energy. 2025;396:126214. https://doi.org/10.1016/j.apenergy.2025.126214

 

28. Nie J, Guo TZ, Xu JC, Ruan XY, Nie LYM, Guo X. CFD-based multi-location analysis of power output and LCOE for solar chimneys in arid regions of Inner Mongolia. Case Stud Therm Eng. 2026;79:107726. https://doi.org/10.1016/j.csite.2026.107726

 

29. Salameh T, Zayed M, Juaidi A, Abdallah R, Hamid AK, Hussein M. CFD and technoeconomic analysis of site-dependent renewable trigeneration in solar chimney power plant. Int J Hydrogen Energy. 2026;205:153285. https://doi.org/10.1016/j.ijhydene.2025.153285

 

30. Velazco Lorenzo D, Butler Blacker JG. Desarrollo de un modelo experimental de una chimenea solar-eólica para suministro eléctrico. TECNIA. 2022;32(1):13-27. https://doi.org/10.21754/tecnia.v32i1.1092

 

31. Hananel A, Garcia R, Vera A. Optimization of solar chimney performance through CFD modelling and parametric experimental design. Int J Optim Control Theor Appl. 2026;16(2):428-449. https://doi.org/10.36922/IJOCTA025430181

 

32. Analysis of the driving potential of a solar chimney power plant. R&D J. 1999;15:85-94. Accessed Jun 18, 2026. http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S2309-89881999000100005&lng=en&nrm=iso.

 

33. Ming T, Liu W, Xu G. Analytical and numerical investigation of the solar chimney power plant systems. Int J Energy Res. 2006;30(11):861-873. https://doi.org/10.1002/er.1191

 

34. POWER NASA Project. The Prediction of Worldwide Energy Resource (POWER). NASA Applied Sciences Program within the Earth Science Division of the Science Mission Directorate; 2024. Accessed Jun 18, 2026. https://power.larc.nasa.gov/.

 

35. Danook SH, Al-bonsrulah HAZ, Hashim I, Veeman D. CFD Simulation of a 3D Solar Chimney Integrated with an Axial Turbine for Power Generation. Energies. 2021;14(18):5771. https://doi.org/10.3390/en14185771

 

36. Sundararaj M, Rajamurugu N, Anbarasi J, Yaknesh S, Sathyamurthy R. Parametric optimization of novel solar chimney power plant using response surface methodology. Results Eng. 2022;16:100633. https://doi.org/10.1016/j.rineng.2022.100633

 

37. Chrobak R, Sempere PG, Prieto AB, Avalos KR. Exploración sobre las estrategias de enseñanza de docentes de ingeniería para el logro de habilidades creativas e innovadoras en sus estudiantes.In: II Congreso Internacional de Investigación y Docencia de la Creatividad; online; 2017. https://doi.org/10.13140/RG.2.1.3061.9288

 

38. Cuce E, Sen H, Cuce PM. Numerical performance modelling of solar chimney power plants: Influence of chimney height for a pilot plant in Manzanares, Spain. Sustain Energy Technol Assess. 2020;39:100704. https://doi.org/10.1016/j.seta.2020.100704

 

39. Abo-Zahhad EM, Hachicha AA, Mistarihi MZ, Salim MH, Esmail MFC. Optimization of ground material properties for enhanced solar chimney power plant efficiency: A CFD and RSM approach. Energy Rep. 2025;13:3929-3945. https://doi.org/10.1016/j.egyr.2025.03.035

 

40. Torkfar A, Arefian A, Hosseini-Abardeh R, Bahrami M. Implementation of active and passive control strategies for power generation in a solar chimney power plant: A technical evaluation of Manzanares prototype. Renew Energy. 2023;216:118912. https://doi.org/10.1016/j.renene.2023.118912

Share
Back to top
An International Journal of Optimization and Control: Theories & Applications, Electronic ISSN: 2146-5703 Print ISSN: 2146-0957, Published by AccScience Publishing