DETERMINATION OF THE TEMPERATURE OF SEMICONDUCTOR LIGHT-EMITTING STRUCTURES UNDER THE IMPLEMENTATION OF ENERGY-EFFICIENT ADAPTIVE COOLING
Keywords:
LED, p–n junction, temperature, energy-efficient cooling, iterative method, approximation method
Abstract
The paper addresses the problem of determining the p–n junction temperature of semiconductor light-emitting structures, which significantly affects the photometric parameters, reliability, and lifetime of LED systems. Two approaches are proposed to eliminate the recurrent dependence between thermal power and temperature: an iterative method with step-by-step refinement and an approximation method based on a polynomial model. Both methods ensure high modeling accuracy and can be applied to optimize energy-efficient adaptive cooling systems for LEDs.
References
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2. Héctor ChincheroHéctor ChincheroJ. Marcos AlonsoHugo OrtizHugo Ortiz A Review on Smart LED Lighting Systems. Conference: 2020 IEEE Green Energy and Smart Systems Conference (IGESSC) November 2020 10.1109/IGESSC50231.2020.9285004
3. Gunjan BhartiyaPooja Pathak Pooja Pathak Intelligent Lighting Control and Energy Management System. Conference: 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) February 2020 DOI: 10.1109/PARC49193.2020.236563
4. Singh, P., Tan, C. Degradation Physics of High Power LEDs in Outdoor Environment and the Role of Phosphor in the degradation process. Sci Rep 6, 24052 (2016). https://doi.org/10.1038/srep24052
5. Hong-Liang Ke, Lei Jing, Jian Hao, Qun Gao, Yao Wang, Xiao-xun Wang, Qiang Sun, and Zhi-Jun Xu, "Analysis of junction temperature and modification of luminous flux degradation for white LEDs in a thermal accelerated reliability test," Appl. Opt. 55, 5909-5916 (2016)
6. M.S. Ibrahim, Z. Jing, W.K.C. Yung, J. Fan, Bayesian based lifetime prediction for high-power white LEDs, Expert Syst. Appl. 185 (2021) 115627, https://doi.org/10.1016/j.eswa.2021.115627.
7. J. Fan, K.-C. Yung, M. Pecht, Predicting long-term lumen maintenance life of LED light sources using a particle filter-based prognostic approach, Expert Syst. Appl. 42 (5) (2014) 2411–2420, https://doi.org/10.1016/j.eswa.2014.10.021.
8. D.V. Pekur, Y.E. Nikolaenko, V.M. Sorokin, Optimization of the cooling system design for a compact high-power LED luminaire, Semicond. Phys. Quantum Electron. Optoelectron. 23 (1) (2020) 091–101, https://doi.org/10.15407/spqeo23.01.091.
9. Lin, X., Mo, S., Mo, B., Jia, L., Chen, Y., & Cheng, Z. (2020). Thermal management of high-power LED based on thermoelectric cooler and nanofluid-cooled microchannel heat sink. Applied Thermal Engineering, 172, 115165. https://doi.org/10.1016/j.applthermaleng.2020.115165
10. Mrabet, B. (2025). Enhanced thermal management of High-Power LED headlights using Water-MWCNT nanofluid and Copper porous media. Case Studies in Thermal Engineering, 106781. https://doi.org/10.1016/j.csite.2025.106781
11. Masi F., Introduction to regression methods, in: Introduction to Regression Methods (2024) 31–92, https://doi.org/10.1002/9781394325634.ch2
12. Minyaylo A.M., Pekur D.V., Nikolaenko Yu.E., Kamuz O.M., The influence of temperature and current on the spectral and luminous characteristics of high-power LEDs. SPQEO. 2025. 26(3). In press.
13. https://downloads.cree-led.com/files/ds/x/XLamp-CMU2287-Pro9.pdf
14. .D.V. Pekur, Yu.V. Kolomzarov, V.M. Sorokin, Yu.E. Nikolaenko. Super powerful LED luminaires with a high color rendering index for lighting systems with combined electric power supply. Semicond. Phys. Quantum Electron. Optoelectron. 25 (1) (2022) 097-107. https://doi.org/10.15407/spqeo25.01.097
Abstract views: 294 PDF Downloads: 128
Published
2025-11-04
How to Cite
Sorokin, V., Basok, B., Davydenko, B., & Pekur, D. (2025). DETERMINATION OF THE TEMPERATURE OF SEMICONDUCTOR LIGHT-EMITTING STRUCTURES UNDER THE IMPLEMENTATION OF ENERGY-EFFICIENT ADAPTIVE COOLING. Thermophysics and Thermal Power Engineering, 47(4), 18-27. https://doi.org/https://doi.org/10.31472/ttpe.4.2025.2
Section
Articles
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