1. Sebaii A, Trabea A. Estimation of horizontal diffuse solar radiation in Egypt. Energy Convers Manage 2003;44:2471–82.Google Scholar
2. Yadav AK, Chandel SS. Tilt angle optimization to maximize incident solar radiation: A review. Renewable Sustainable Energy Rev 2013;23:503–13.Google Scholar
4. Assunçao D, Escobedo HF, Oliveira AP. Modeling frequency distributions of 5 minute-averaged solar radiation indexes using Beta probability functions. Theor Appl Climatol 2014;75:213–24.Google Scholar
5. Techathawiekul S. Calculations of fixed optimum tilt angles for flat plate solar collectors for Songkhla, Bangkok, Khon kaen and Chiang Mai. J Sci Soc Thailand 1984;10:119–22.Google Scholar
6. Ongsakul W, Ngok VD. Artificial intelligence in power system optimization. Inc. Boca Ratom, FL, USA: CRC Press. 2013.Google Scholar
7. Ratismith W, Inthongkhum A, Briggs J. Two non-tracking solar collectors: Design criteria and performance analysis. Appl Energy 2014;131:201–10.Google Scholar
8. Bracamonte J, Parada J, Dimas J, Baritto M. Effect of the collector tilt angle on thermal efficiency and stratification of passive water in glass evacuated tube solar water heater. Appl Energy 2015;155:648–59.Google Scholar
9. Siraki AG, Pillay P. Study of optimum tilt angles for solar panels in different latitudes for urban applications. Sol Energy 2012;86:1920–8.Google Scholar
10. Chen YM, Lee CH, Wu HC. Calculation of the optimum installation angle for fixed solar-cell panels based on the genetic algorithm and the simulated-annealing method. IEEE Trans Energy Convers 2005;20:467–73.Google Scholar
11. Ng K, Adam N, Inayatullah O, Kadir MZ. Assessment of solar radiation on diversely oriented surfaces and optimum tilts for solar absorbers in Malaysian tropical latitude. Int J Energy Environ Eng 2014;5:5.Google Scholar
12. Chang Y, Wang D. Optimization of tilt angle for photovoltaic modules based on the neural-genetic algorithm. J Nan Kai 2010;7:57–70.Google Scholar
13. Chang YP. Optimal the tilt angles for photovoltaic modules using PSO method with nonlinear time-varying evolution. Energy 2010;35:1954–63.Google Scholar
14. Benghanem M. Optimization of tilt angle for solar panel: Case study for Madinah, Saudi Arabia. Appl Energy 2011;88:1427–33.Google Scholar
15. Shukla KN, Rangnekar S, Sudhakar K. Comparative study of isotropic and anisotropic sky models to estimate solar radiation incident on tilted surface: A case study for Bhopal, India. Energy Rep 2015;1:96–103.Google Scholar
16. Boonyaritdachochai P, Boonchuay C, Ongsakul W. Optimal Congestion Management in Electricity Market Using Particle Swarm Optimization With Time Varying Acceleration Coefficients. AIP Conference Proceedings 2010382–7.
17. Gulin M, Vasak M, Baotic M. Estimation of the global solar irradiance on tilted surfaces 2013. 17th International Conference on Electrical Drives and Power Electronics (EDPE 2013), (i), 6 2013.
18. Muñoz FD, Ramírez-López A. A note on bias and mean squared error in steady-state quantile estimation. AIP Conference Proceedings 2013;1558:1518–22.
19. Huh H, Lou Y, Bae G, Lee C. Accuracy analysis of anisotropic yield functions based on the root‐mean square error 2010. AIP Conference Proceedings 2010;1252:739–46.
20. Robinson D, Stone A. Solar radiation modelling in the urban context. Sol Energy 2004;77:295–309.Google Scholar
21. Solanki CS. Solar photo voltaic fundamental, technologies and applications. New Delhi: PHI Learning Pvt., Ltd, 2011.Google Scholar
22. Kreith F, Goswami DY. Principles of sustainable energy, vol. 46. Inc. Boca Ratom, FL, USA: CRC Press. 2011.Google Scholar
23. Munner T. Solar radiation and day light models. Oxford: Elsevier, 2004.Google Scholar
24. Badescu V. A new kind of cloudy sky model to compute instantaneous values of diffuse and global solar irradiance. Theor Appl Climatol 2002;72:127–36.Google Scholar
25. Liu B, Jordan R. Daily insolation on surfaces tilted towards the equator Trans ASHRAE, 1962–67.
26. Koronakis PS. On the choice of the angle of tilt for the south facing solar collectors in the Athens basin area. Sol Energy 1986;36:217.Google Scholar
27. Tian YQ, Davies-Colley RJ, Gong P, Thorrold BW. Estimating solar radiation on slopes of arbitrary aspect. Agric Forest Meteorol 2001;109:67–77.Google Scholar
28. Hay JE, Davies JA Calculations of the solar radiation incident on an inclined surface 1980: Proceedings of First Canadian Solar Radiation Data Workshop. Canadian Atmospheric Environment Service, Canada, 59–72.
29. Reindl DT, Beckman WA, Duffie JA. Diffuse fraction correlations. Sol Energy 1990;45:1–7.Google Scholar
30. Skartveit A, Olseth JA, Tuft ME. An hourly diffuse fraction model with correction for variability and surface albedo. Sol Energy 1998;63:173–83.Google Scholar
31. Jakhrani AQ, Othman AK, Rigit AR, Samo SR, Kamboh SA. Estimation of incident solar radiation on tilted surface by different empirical models. Int J Sci Res Publ 2012;2:1–6.Google Scholar
32. Arthur YD. Probability distributional analysis of hourly solar irradiation in Kumasi-Ghana. Int J Bus Soc Res 1986;1964:63–75.Google Scholar
33. Caliao ND. Statistical Modeling of Radiation and Wind Speed for PV/Wind Hybrid System. Australian New Zealand Solar Energy Society (ANZSES) – Solar 2000 Conference, 2000.
34. Hollands KG, Suehrcke H. A three-state model for the probability distribution of instantaneous solar radiation, with applications. Sol Energy 2013;96:103–12.Google Scholar
35. Youcef Ettoumi F, Mefti A, Adane A, Bouroubi MY. Statistical analysis of solar measurements in Algeria using beta distributions. Renewable Energy May 2001;26:47–67. ISSN 0960-1481.Google Scholar
36. Press WH, Teukolsky S. Kolmogorov-Smirnov Test for Two-Dimensional Data. Comput Phys 1988;2:74.Google Scholar
About the article
Sachin Muralee Krishna
Mr. Sachin Muraleekrishna was born in Kerala, India, in 1992. He completed his B.Tech degree in Mechanical Production Engineering from the National Institute of Technology Calicut, India. He is currently pursuing Master of Engineering at Energy FoS, Asian Institute of Technology, Thailand. He is working on biofuels and renewable energy.
Nimal Madhu M
Mr. Nimal Madhu M was born in Kerala, India, in 1987. He received a B.Tech degree in Electrical and Electronics Engineering from Calicut University, India, and an M.Tech in power systems from Indian Institute of Technology Bombay, India. He is currently pursuing doctoral degree in Engineering at Energy FoS, Asian Institute of Technology, Thailand.
Mr. Vivek Mohan was born in Kerala, India, in 1986. He received a B.Tech degree in Electrical and Electronics Engineering from Amrita University, India, and an M.Tech in power systems from University of Calicut, Kerala, India. He is currently pursuing doctoral degree in Engineering at Energy FoS, Asian Institute of Technology, Thailand. He is working on stochastic optimal energy, reserve and risk management in microgrids.
Reshma Suresh M P
Mrs. Reshma Suresh M P was born in Kerala, India, in 1987. She received a B.Tech degree in Electrical and Electronics Engineering from Amrita University, India, and an M.Tech in power systems from University of Calicut, Kerala, India. She was Assistant Professor at Amrita School of Engineering and IES College of Engineering in Kerala, India. She is currently working as consultant for IEEE PES-ISGT conference in Energy FoS, Asian Institute of Technology, Thailand.
Jai Govind Singh
Dr. Jai Govind Singh received his M.Tech from IIT Roorkee and PhD from IIT Kanpur, India. He is currently working as assistant professor in Asian Institute of Technology, specialized in power system stability, FACTS, deregulation and smart grid and microgrid. He was a post-doctoral researcher at the University of Queensland, Brisbane, Australia, and Royal Institute of Technology, KTH, Sweden.
Published Online: 2015-12-23
Published in Print: 2015-12-01