IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i5p1811-d1596314.html
   My bibliography  Save this article

Optimal Thermal Management Using the Taguchi Method for LED Lighting Squared Heat Sink, Including Statistical Approaches

Author

Listed:
  • Ibrahim Saadouni

    (Intelligent System Design Laboratory, Optics, Materials and Systems Team, Faculty of Sciences, Abdelmalek Essâadi University, M’ Hannech II, P.O. Box 2121, Tétouan 93030, Morocco)

  • Oumaima Douass

    (Intelligent System Design Laboratory, Optics, Materials and Systems Team, Faculty of Sciences, Abdelmalek Essâadi University, M’ Hannech II, P.O. Box 2121, Tétouan 93030, Morocco)

  • Bousselham Samoudi

    (Intelligent System Design Laboratory, Optics, Materials and Systems Team, Faculty of Sciences, Abdelmalek Essâadi University, M’ Hannech II, P.O. Box 2121, Tétouan 93030, Morocco)

  • Zouhour Araoud

    (ENIM, Laboratoire EMIR, Université de Monastir, LR20ES08, 5000 Monastir, Tunisia)

  • Kamel Charrada

    (IPEIM, Laboratoire EMIR, Université de Monastir, LR20ES08, 5000 Monastir, Tunisia)

  • Adel Asselman

    (Intelligent System Design Laboratory, Optics, Materials and Systems Team, Faculty of Sciences, Abdelmalek Essâadi University, M’ Hannech II, P.O. Box 2121, Tétouan 93030, Morocco)

  • Laurent Canale

    (French National Center of Scientific Research (CNRS), LAPLACE Laboratory, UMR 5213, 31062 Toulouse, France)

Abstract

The global development of LED lighting in all applications for both public and indoor lighting establishes a very important lever for reducing the carbon impact by significantly reducing energy consumption. Smart lighting will therefore constitute an essential lever in the smart city of tomorrow. The latter is more sustainable and less energy-intensive than other light sources, contributing towards the Sustainable Development Goals set forth by the United Nations (SDGs 7 and 11). With its ease of integration, ergonomics, lightness, and high quality of light, this innovative light source has two major qualities: its energy efficiency and its long service life. However, poor thermal management has catastrophic effects on these two essential criteria. This necessarily requires optimizing thermal management and heat sinks. In some cases, thermal models and simulations can lead to considerable calculation times because they implement many parameters. This work therefore aims to reduce the number of these simulations by applying the method of experimental designs (Taguchi) and analysis of variance (ANOVA) to simulations intended to optimize the dissipation of LED luminaires. We applied the method to a simple finned heat sink model for a unit input power and then to a concrete case of a high-power LED. The control parameters and their respective contributions in the proposed model were studied. The ANOVA results corroborated the conclusions of the Taguchi method, demonstrating a strong agreement between these analytical methods, in which the temperature was adjusted by identifying optimal combinations of parameters. The fields of application relevant to this study include both indoor lighting (false ceiling) and confined spaces with severe sealing constraints such as car headlights or the optical blocks of urban luminaires.

Suggested Citation

  • Ibrahim Saadouni & Oumaima Douass & Bousselham Samoudi & Zouhour Araoud & Kamel Charrada & Adel Asselman & Laurent Canale, 2025. "Optimal Thermal Management Using the Taguchi Method for LED Lighting Squared Heat Sink, Including Statistical Approaches," Sustainability, MDPI, vol. 17(5), pages 1-28, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:5:p:1811-:d:1596314
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/5/1811/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/5/1811/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mehmet Galip Zorba & Derya Şahhüseyinoğlu & Arda Arikan, 2024. "Reading Harry Potter: A Journey into Students’ Understanding of Sustainable Development Goals," Sustainability, MDPI, vol. 16(11), pages 1-22, June.
    2. Tolga Kara & Ahmet Duran Şahin, 2023. "Implications of Climate Change on Wind Energy Potential," Sustainability, MDPI, vol. 15(20), pages 1-26, October.
    3. Ben Taher, M.A. & Pelay, U. & Russeil, S. & Bougeard, D., 2023. "A novel design to optimize the optical performances of parabolic trough collector using Taguchi, ANOVA and grey relational analysis methods," Renewable Energy, Elsevier, vol. 216(C).
    4. Farzana Parveen Tajudeen & Noor Ismawati Jaafar & Ainin Sulaiman & Sedigheh Moghavvemi, 2020. "Light Emitting Diode (LED) Usage in Organizations: Impact on Environmental and Economic Performance," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    5. Idiano D’Adamo & Cristina Di Carlo & Massimo Gastaldi & Edouard Nicolas Rossi & Antonio Felice Uricchio, 2024. "Economic Performance, Environmental Protection and Social Progress: A Cluster Analysis Comparison towards Sustainable Development," Sustainability, MDPI, vol. 16(12), pages 1-24, June.
    6. Ben Seddik, Z. & Ben Taher, M.A. & Laknizi, A. & Ahachad, M. & Bahraoui, F. & Mahdaoui, M., 2022. "Hybridization of Taguchi method and genetic algorithm to optimize a PVT in different Moroccan climatic zones," Energy, Elsevier, vol. 250(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhao, Ning & Wang, Jiangjiang & Yang, Jinyu & Yuan, Fuchun, 2024. "Comprehensive evaluation and optimization strategy of solar-driven methanol steam reforming for hydrogen production," Renewable Energy, Elsevier, vol. 232(C).
    2. Mortadi, M. & El Fadar, A. & Achkari Begdouri, O., 2024. "4E analysis of photovoltaic thermal collector-based tri-generation system with adsorption cooling: Annual simulation under Moroccan climate conditions," Renewable Energy, Elsevier, vol. 221(C).
    3. Shreya Bhattacharya & Basanta Kumar Das & Aparna Roy & Prateep Kumar Nayak & Avishek Saha & Pranaya Kumar Parida & Lianthuamluaia Lianthuamluaia & Kausik Mondal & Sangeeta Chakraborty, 2024. "Socio-Economic Profile and Vulnerabilities Assessment in Small-Scale Fisheries of Lower Gangetic Flood Plain Wetland: An Initiative Towards Achieving Wetland Ecosystem Sustainability and Community Wel," Sustainability, MDPI, vol. 16(21), pages 1-22, November.
    4. Lizárraga-Morazán, Juan Ramón & Picón-Núñez, Martín, 2024. "Optimal design of parabolic through solar collector networks: A design approach for year-round operation," Energy, Elsevier, vol. 306(C).
    5. Afzal, Asif & Buradi, Abdulrajak & Jilte, Ravindra & Shaik, Saboor & Kaladgi, Abdul Razak & Arıcı, Muslum & Lee, Chew Tin & Nižetić, Sandro, 2023. "Optimizing the thermal performance of solar energy devices using meta-heuristic algorithms: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    6. Leogrande, Angelo & Drago, Carlo & Mallardi, Giulio & Costantiello, Alberto & Magaletti, Nicola, 2024. "Patenting Propensity in Italy: A Machine Learning Approach to Regional Clustering," MPRA Paper 123081, University Library of Munich, Germany.
    7. Chdil, O. & Bikerouin, M. & Balli, M. & Mounkachi, O., 2023. "New horizons in magnetic refrigeration using artificial intelligence," Applied Energy, Elsevier, vol. 335(C).
    8. Anda-Valentina Trandafir & Lucia Maria Lotrean, 2025. "Education for Improving Awareness and Practices Regarding Hand Hygiene Among Romanian School Children," Sustainability, MDPI, vol. 17(1), pages 1-16, January.
    9. Kai-Hung Lu & Chih-Ming Hong & Junfang Lian & Fu-Sheng Cheng, 2025. "A Review of Synergies Between Advanced Grid Integration Strategies and Carbon Market for Wind Energy Development," Energies, MDPI, vol. 18(3), pages 1-23, January.
    10. Dong, Shiqian & Long, He & Guan, Jingxuan & Jiang, Lina & Zhuang, Chaoqun & Gao, Yafeng & Di, Yanqiang, 2024. "Performance investigation of a hybrid PV/T collector with a novel trapezoidal fluid channel," Energy, Elsevier, vol. 288(C).
    11. Piotr M. Bolibok & Bartłomiej Zinczuk & Anna Matras-Bolibok, 2025. "Sustainability Transition in the Visegrád Group: Shared Goals, Different Paths," Sustainability, MDPI, vol. 17(5), pages 1-29, February.
    12. Shafiqur Rehman & Kashif Irshad & Mohamed A. Mohandes & Ali A. AL-Shaikhi & Azher Hussain Syed & Mohamed E. Zayed & Mohammad Azad Alam & Saïf ed-Dîn Fertahi & Muhammad Kamran Raza, 2024. "Windy Sites Prioritization in the Saudi Waters of the Southern Red Sea," Sustainability, MDPI, vol. 16(23), pages 1-17, November.
    13. Stefana Matović & Dunja Demirović Bajrami & Tamara Gajić & Milica Lakić & Darko Martinov & Srđan Šuput & Adriana Radosavac & Ružica Đervida, 2024. "Beyond Numbers: Challenges in Measuring SDG4 Targets—Serbia’s Perspective," Sustainability, MDPI, vol. 16(22), pages 1-24, November.
    14. Nándor Bozsik & András Szeberényi & Norbert Bozsik, 2024. "Impact of Climate Change on Electric Energy Production from Medium-Size Photovoltaic Module Systems Based on RCP Climate Scenarios," Energies, MDPI, vol. 17(16), pages 1-32, August.
    15. Miao, Xingyuan & Zhao, Hong, 2024. "Corroded submarine pipeline degradation prediction based on theory-guided IMOSOA-EL model," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    16. Aisha Blfgeh & Hanadi Alkhudhayr, 2024. "A Machine Learning-Based Sustainable Energy Management of Wind Farms Using Bayesian Recurrent Neural Network," Sustainability, MDPI, vol. 16(19), pages 1-21, September.
    17. Zichao Wei & Kai Xue & Guangwen Hu & Yufeng Wu & Yanfen Wang, 2024. "The Decarbonizing Strategies of China’s Iron and Steelmaking Industry: A Comprehensive Perspective," Sustainability, MDPI, vol. 16(24), pages 1-21, December.
    18. Wanping Zhang & Dongdong Gao & Chun Wang & Hongle Shi & Xiaogang Tian & Xingnian Ren & Siyao Liu & Mingkun Guo & Peng He, 2024. "Quantitative Tracking of Seasonal River Pollution Sources and Integration of Sustainable Development Goals in Hilly Regions," Sustainability, MDPI, vol. 16(21), pages 1-21, October.
    19. Guo, Yi & Wang, Qi & Cao, Junhao & Diao, Anna & Peng, Xueyuan, 2024. "Effects of operating parameters on the performance of an embedded two-piston compressor system for green hydrogen," Renewable Energy, Elsevier, vol. 225(C).
    20. Lydia Peraki & Nikoletta Kontouli & Anastasia Gkika & Foteini Petrakli & Elias P. Koumoulos, 2025. "Expanding Social Impact Assessment Methodologies Within SDGs: A Case Study on Novel Wind and Tidal Turbine Blades Development," Sustainability, MDPI, vol. 17(4), pages 1-19, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:5:p:1811-:d:1596314. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.