Integrated Optimization of Solar Photovoltaic Systems Using Taguchi Method and Computational Fluid Dynamics for Enhanced Efficiency

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Notice

nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]08/10/2025 at 12:12 PM[/if 2224] | [if 1553 equals=””] Volume : 12 [else] Volume : 12[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03 | Page :

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    Shahina Momin, M.M. Mirza,

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  1. Student, Professor, Deparment of Mechanical Engineering, Rajarambapu Institute of Technology, Sangli, Deparment of Mechanical Engineering, Rajarambapu Institute of Technology, Sangli, Maharashtra, Maharashtra, India, India

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Abstract

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nThe transition to renewable energy demands efficient and reliable photovoltaic (PV) systems to meet rising global energy needs. This study presents an integrated optimization framework combining the Taguchi method and Computational Fluid Dynamics (CFD) to improve the thermal and electrical performance of solar PV systems. A structured experimental design using an L9 orthogonal array evaluates the influence of three key parameters—material type, panel thickness, and cooling mechanism—on system efficiency. Analysis of variance (ANOVA) identifies the relative contribution of each factor, with material type contributing 40%, cooling 35%, and thickness 25%. The optimal configuration (monocrystalline, 2.0 mm thickness, and liquid cooling) achieved an actual efficiency of 19.7%, closely matching the predicted 19.9%. CFD simulations in ANSYS Fluent validated the thermal improvements by simulating heat dissipation under varying boundary conditions, highlighting liquid cooling as the most effective strategy. The hybrid approach demonstrates the value of integrating design of experiments with numerical modeling to produce scalable, high-performance PV solutions. This methodology not only enhances PV system design but also offers a replicable framework for multi-parameter optimization in other renewable energy technologies.nn

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Keywords: Taguchi Method, Computational Fluid Dynamics (CFD), Thermal Management, PV Efficiency, ANOVA Analysis

n[if 424 equals=”Regular Issue”][This article belongs to Recent Trends in Fluid Mechanics ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Recent Trends in Fluid Mechanics (rtfm)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nShahina Momin, M.M. Mirza. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]Integrated Optimization of Solar Photovoltaic Systems Using Taguchi Method and Computational Fluid Dynamics for Enhanced Efficiency[/if 2584]. Recent Trends in Fluid Mechanics. 08/10/2025; 12(03):-.

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nShahina Momin, M.M. Mirza. [if 2584 equals=”][226 striphtml=1][else]Integrated Optimization of Solar Photovoltaic Systems Using Taguchi Method and Computational Fluid Dynamics for Enhanced Efficiency[/if 2584]. Recent Trends in Fluid Mechanics. 08/10/2025; 12(03):-. Available from: https://journals.stmjournals.com/rtfm/article=08/10/2025/view=0

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Volume 12
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03
Received 01/08/2025
Accepted 13/08/2025
Published 08/10/2025
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Publication Time 68 Days

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