Model selection and performance evaluation of solar chimney systems using CFD and multivariate analysis with Chernoff faces
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 regre...
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| Formato: | Artículo |
| Lenguaje: | inglés |
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2026
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| Acceso en línea: | Enlace permanente (DOI o Handle) Descargar el archivo |
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| _version_ | 1881700510034034688 |
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| author | Alberto Hananel Rodolfo Garcia Alejandro Vera Sandra Cecilia Loaiza Chumacero Iván Soto |
| author_browse | Alberto Hananel Alejandro Vera Iván Soto Rodolfo Garcia Sandra Cecilia Loaiza Chumacero |
| author_facet | Alberto Hananel Rodolfo Garcia Alejandro Vera Sandra Cecilia Loaiza Chumacero Iván Soto |
| author_sort | Alberto Hananel |
| collection | Producción científica |
| description | 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. |
| format | Article |
| id | openalex:W7165967086 |
| institution | UPeU |
| language | English |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| record_format | dspace |
| spelling | openalex:W7165967086Model selection and performance evaluation of solar chimney systems using CFD and multivariate analysis with Chernoff facesAlberto HananelRodolfo GarciaAlejandro VeraSandra Cecilia Loaiza ChumaceroIván Sotosolar chimneymodel selectionChernoff facesmultivariate analysisregression modelsair velocitypower law modelsystem efficiencyoutput powerirradiance levelSolar Energy Systems and TechnologiesWind and Air Flow StudiesSolar Thermal and Photovoltaic SystemsThis 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.Articlehttps://doi.org/10.36922/ijocta026160064https://article.accscience.com/journal/IJOCTA/online_first/ijocta026160064/article_ijocta0261600641_487474.pdfW7165967086enAn International Journal of Optimization and Control Theories & Applications (IJOCTA)2146-09572146-57032026-06-24 |
| spellingShingle | solar chimney model selection Chernoff faces multivariate analysis regression models air velocity power law model system efficiency output power irradiance level Solar Energy Systems and Technologies Wind and Air Flow Studies Solar Thermal and Photovoltaic Systems Alberto Hananel Rodolfo Garcia Alejandro Vera Sandra Cecilia Loaiza Chumacero Iván Soto Model selection and performance evaluation of solar chimney systems using CFD and multivariate analysis with Chernoff faces |
| title | Model selection and performance evaluation of solar chimney systems using CFD and multivariate analysis with Chernoff faces |
| title_full | Model selection and performance evaluation of solar chimney systems using CFD and multivariate analysis with Chernoff faces |
| title_fullStr | Model selection and performance evaluation of solar chimney systems using CFD and multivariate analysis with Chernoff faces |
| title_full_unstemmed | Model selection and performance evaluation of solar chimney systems using CFD and multivariate analysis with Chernoff faces |
| title_short | Model selection and performance evaluation of solar chimney systems using CFD and multivariate analysis with Chernoff faces |
| title_sort | model selection and performance evaluation of solar chimney systems using cfd and multivariate analysis with chernoff faces |
| topic | solar chimney model selection Chernoff faces multivariate analysis regression models air velocity power law model system efficiency output power irradiance level Solar Energy Systems and Technologies Wind and Air Flow Studies Solar Thermal and Photovoltaic Systems |
| topic_facet | solar chimney model selection Chernoff faces multivariate analysis regression models air velocity power law model system efficiency output power irradiance level Solar Energy Systems and Technologies Wind and Air Flow Studies Solar Thermal and Photovoltaic Systems |
| url | https://doi.org/10.36922/ijocta026160064 https://article.accscience.com/journal/IJOCTA/online_first/ijocta026160064/article_ijocta0261600641_487474.pdf |
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