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Jeykishan Kumar, K.
- Solar Radiation Forecasting for Moderate Climatic Zone
Abstract Views :242 |
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Authors
Affiliations
1 Central Power Research Institute, Bangalore – 560 080, Karnataka, IN
1 Central Power Research Institute, Bangalore – 560 080, Karnataka, IN
Source
Power Research, Vol 15, No 1 (2019), Pagination: 52-57Abstract
The challenge with solar energy prediction is that the solar radiation is intermittent and uncontrollable. Energy forecasting can be used to mitigate some of the challenges that arise from the uncertainty in the resource. Weather data was sourced from India Meteorological Department for Bangalore and Chennai location. This paper provides statistical approach to predict the solar power in future. Analysis was done for different predictive models; Multiple Regression Model is used as we have multiple inputs. The results indicate the prediction of solar radiation has better accuracy during higher irradiation period rather than lower irradiation period.Keywords
Irradiation, Multiple Regression, Solar Forecasting, Solar Radiation.
References
- Sanders S, Barrick C, Maier F, Rasheed K. Solar radiation prediction improvement using weather forecasts. 16th IEEE International Conference on Machine Learning and Applications (ICMLA); 2017. https://doi.org/10.1109/ICMLA.2017.0-112
- Orjuela A, Hernandez CJ, Rivero C. Very short term forecasting in global solar irradiance using linear and nonlinear models. IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA); 2017. https://doi.org/10.1109/PEPQA.2017.7981691
- Hassan M, Ali M, Ali A, Kumar J. Forecasting dayahead solar radiation using machine learning approach. 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE); 2017. https://doi.org/10.1109/APWConCSE.2017.00050. PMid:28515669. PMCid:PMC5409806
- Abuella M, Chowdhury B. Solar power probabilistic forecasting by using multiple linear regression analysis. SoutheastCon; 2015. https://doi.org/10.1109/ SECON.2015.7132869
- Haupt S, Kosovic B, Jensen T, Cowie J, Jimenez P, Wiener G. Comparing and integrating solar forecasting techniques. IEEE 43rd Photovoltaic Specialists Conference (PVSC); 2016. https://doi.org/10.1109/PVSC.2016.7749751
- Snegirev D, Eroshenko S, Khalyasmaa A, Dubailova V, Stepanova A. Day ahead solar power plant forecasting accuracy improvement on the hourly basis. IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus); 2019. https://doi.org/10.1109/EIConRus.2019.8657024
- Hussain S, Alili A. Day ahead hourly forecast of solar irradiance for Abu Dhabi, UAE. IEEE Smart Energy Grid Engineering (SEGE); 2016. https://doi.org/10.1109/SEGE.2016.7589502
- Serttas F, Hocaoglu F, Akarslan E. Short term solar power generation forecasting: A novel approach. 2018 International Conference on Photovoltaic Science and Technologies(PVCon); 2018. https://doi.org/10.1109/PVCon.2018.8523919
- Vijay V, Singh VP, Bhatt DM, Chaturvedi. Generalised neural network methodology for short term solar power forecasting”, 13th International Conference on Environment and Electrical Engineering (EEEIC); 2013.
- Thermal Issues of Warm and Cool White LED Bulbs
Abstract Views :233 |
PDF Views:0
Authors
Affiliations
1 Department of Energy Efficiency and Renewable Energy Division, CPRI, Bengaluru – 560 080, IN
1 Department of Energy Efficiency and Renewable Energy Division, CPRI, Bengaluru – 560 080, IN
Source
Power Research, Vol 15, No 1 (2019), Pagination: 58-63Abstract
For modern high-power LEDs, self-heating becomes a critical factor determining their functional characteristics and lifetime. For large-area LEDs with a complex structure, it is important to know not only the thermal resistance but also the detailed temperature distribution (temperature map) over the active area. In this paper, we present the thermal analysis of high-power Light-Emitting Diodes (LEDs) with under the real operating conditions. Thermal transient measurements were performed to study the thermal characteristics of high power LED bulbs. The purpose of this test is to analyze the heat dissipation from LED Lamps. The study concludes that the warm white LED bulbs show better thermal behavior than the cool white LED bulbs of low power.Keywords
Cool White, Low Power, Temperature, Thermal, Warm White, LED.References
- Jang SH, Shin MW. Thermal analysis of high power LEDs at working conditions. 18th IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA); 2011. https://doi.org/10.1109/IPFA.2011.5992721
- Tang H, Li D, Pan M, Yang T, Yuan C, Fan X. Thermal analysis and optimization design of LED streetlight module. 2013 10th China International Forum on Solid State Lighting (ChinaSSL); 2013. https://doi.org/10.1109/SSLCHINA.2013.7177346
- Badalan N, Svasta P. Analysis of LEDs thermal properties. 2016 IEEE 22nd International Symposium for Design and Technology in Electronic Packaging (SIITME); 2016. https://doi.org/10.1109/SIITME.2016.7777267
- Ma X, Wu L, Dai S, Bai K, Zhou B, Zheng Z. Thermal analysis for high-power LED down-light. 2011 International Conference on Electronics, Communications and Control (ICECC); 2011. https://doi.org/10.1109/ICECC.2011.6066674
- Yin C, Lee Y, Bailey C, Riches S, Cartwright C, Sharpe R, Orr H. Thermal Analysis of LEDs for Liquid Crystal Display’s Backlighting. 2007 8th International Conference on Electronic Packaging Technology; 2007. https://doi.org/10.1109/ICEPT.2007.4441413
- Cheng X, Liu X, Chen W, Lai W. Thermal analysis of light-emitting diodes based on photo-electro-thermal relationship. 2014 11th China International Forum on Solid State Lighting (SSLCHINA); 2014. https://doi.org/10.1109/SSLCHINA.2014.7127210
- Ye H, Koh S, Yuan CA, Zhang GQ. Thermal analysis of phosphor in high brightness LED. 2012 13th International Conference on Electronic Packaging Technology & High Density Packaging; 2012. https://doi.org/10.1109/ICEPTHDP.2012.6474899
- Jang S, Shin MW. Thermal analysis of LED arrays for automotive headlamp with a novel cooling system. IEEE Transactions on Device and Materials Reliability. 2008; 8(3):561–4. https://doi.org/10.1109/TDMR.2008.2002355
- Jang S, Shin MW. Thermal analysis of LED arrays for automotive headlamp with a novel cooling system. IEEE Transactions on Device and Materials Reliability. 2008; 8(3):561–4. https://doi.org/10.1109/TDMR.2008.2002355
- Luo X, Gan Z, Liu S, Cheng T, Xiong W. Thermal analysis of an 80 W light-emitting diode street lamp. IET Optoelectronics. 2007; 1(5):191–6. https://doi.org/10.1049/iet-opt:20070006
- Li J, Yang Q, Niu P, Jin L, Meng B, Li Y, Zhang X. Analysis of Thermal Field on Integrated LED Light Source Based on COMSOL Multi-physics Finite Element Simulation. Physics Procedia. 2011; 22:150–6. https://doi.org/10.1016/j.phpro.2011.11.024