Model Identification and Wall-Plug Efficiency Measurement of White LED Modules
Journal Title: American Journal of Engineering and Applied Sciences - Year 2016, Vol 9, Issue 2
Abstract
Model Identification and Wall-Plug Efficiency Measurement of White LED Modules Ahmed Zurfi and Jing Zhang DOI : 10.3844/ajeassp.2016.412.419 American Journal of Engineering and Applied Sciences Volume 9, Issue 2 Pages 412-419 Abstract In this study, an experimental method is developed to measure the Wall-Plug efficiency of white LED modules without using any apparatus or sensors to measure the intensity of light. The tested LED module consists of a white LED chip-on-board affixed on a heatsink. The proposed method is mainly based on thermal and electrical models of the LED module. Measurements of thermal and electrical power are implemented instead of optical power. The presented method is not intended to replace the existing conventional techniques used to obtain optical and thermal characteristics of LEDs, but it provides a simplified way to evaluate the Wall-Plug efficiency of white LED modules under pragmatic operational conditions. In this method, the parameters of the wall-plug efficiency model of an LED-heatsink module are identified. Then, the model is applied to evaluate the efficiency at operating conditions of different heatsink temperature and input current. A 9 W Cree© XLamp white LED was tested at an ambient temperature of 23°C±1. Experimental results revealed that the parameters of the efficiency model can be extracted using the proposed method without measurement of optical power. Copyright © 2016 Ahmed Zurfi and Jing Zhang. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. http://thescipub.com/abstract/10.3844/ajeassp.2016.412.419
Authors and Affiliations
Ahmed Zurfi, Jing Zhang
Keywords
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- EP ID EP203665
- DOI 10.3844/ajeassp.2016.412.419
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