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Estimation of monthly solar radiation distribution for solar energy system analysis

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  • Coskun, C.
  • Oktay, Z.
  • Dincer, I.

Abstract

The concept of probability density frequency, which is successfully used for analyses of wind speed and outdoor temperature distributions, is now modified and proposed for estimating solar radiation distributions for design and analysis of solar energy systems. In this study, global solar radiation distribution is comprehensively analyzed for photovoltaic (PV) panel and thermal collector systems. In this regard, a case study is conducted with actual global solar irradiation data of the last 15 years recorded by the Turkish State Meteorological Service. It is found that intensity of global solar irradiance greatly affects energy and exergy efficiencies and hence the performance of collectors.

Suggested Citation

  • Coskun, C. & Oktay, Z. & Dincer, I., 2011. "Estimation of monthly solar radiation distribution for solar energy system analysis," Energy, Elsevier, vol. 36(2), pages 1319-1323.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:2:p:1319-1323
    DOI: 10.1016/j.energy.2010.11.009
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    1. Erdil, Erzat & Ilkan, Mustafa & Egelioglu, Fuat, 2008. "An experimental study on energy generation with a photovoltaic (PV)–solar thermal hybrid system," Energy, Elsevier, vol. 33(8), pages 1241-1245.
    2. Rehman, Shafiqur & Al-Hadhrami, Luai M., 2010. "Study of a solar PV–diesel–battery hybrid power system for a remotely located population near Rafha, Saudi Arabia," Energy, Elsevier, vol. 35(12), pages 4986-4995.
    3. Atkins, Martin J. & Walmsley, Michael R.W. & Morrison, Andrew S., 2010. "Integration of solar thermal for improved energy efficiency in low-temperature-pinch industrial processes," Energy, Elsevier, vol. 35(5), pages 1867-1873.
    4. Kalogirou, Soteris A. & Bojic, Milorad, 2000. "Artificial neural networks for the prediction of the energy consumption of a passive solar building," Energy, Elsevier, vol. 25(5), pages 479-491.
    5. Wang, R.Z. & Zhai, X.Q., 2010. "Development of solar thermal technologies in China," Energy, Elsevier, vol. 35(11), pages 4407-4416.
    6. Guo, L.J. & Zhao, L. & Jing, D.W. & Lu, Y.J. & Yang, H.H. & Bai, B.F. & Zhang, X.M. & Ma, L.J. & Wu, X.M., 2009. "Solar hydrogen production and its development in China," Energy, Elsevier, vol. 34(9), pages 1073-1090.
    7. Badescu, Viorel, 2006. "Optimum size and structure for solar energy collection systems," Energy, Elsevier, vol. 31(12), pages 1819-1835.
    8. Coskun, C., 2010. "A novel approach to degree-hour calculation: Indoor and outdoor reference temperature based degree-hour calculation," Energy, Elsevier, vol. 35(6), pages 2455-2460.
    9. Gou, Chenhua & Cai, Ruixian & Hong, Hui, 2007. "A novel hybrid oxy-fuel power cycle utilizing solar thermal energy," Energy, Elsevier, vol. 32(9), pages 1707-1714.
    10. Reichling, J.P. & Kulacki, F.A., 2008. "Utility scale hybrid wind–solar thermal electrical generation: A case study for Minnesota," Energy, Elsevier, vol. 33(4), pages 626-638.
    11. Midilli, A. & Kucuk, H., 2003. "Energy and exergy analyses of solar drying process of pistachio," Energy, Elsevier, vol. 28(6), pages 539-556.
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    1. Oktay, Z. & Coskun, C. & Dincer, I., 2011. "A new approach for predicting cooling degree-hours and energy requirements in buildings," Energy, Elsevier, vol. 36(8), pages 4855-4863.
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    3. Behrang, M.A. & Assareh, E. & Noghrehabadi, A.R. & Ghanbarzadeh, A., 2011. "New sunshine-based models for predicting global solar radiation using PSO (particle swarm optimization) technique," Energy, Elsevier, vol. 36(5), pages 3036-3049.
    4. Pan, Tao & Wu, Shaohong & Dai, Erfu & Liu, Yujie, 2013. "Estimating the daily global solar radiation spatial distribution from diurnal temperature ranges over the Tibetan Plateau in China," Applied Energy, Elsevier, vol. 107(C), pages 384-393.
    5. Zang, Haixiang & Xu, Qingshan & Bian, Haihong, 2012. "Generation of typical solar radiation data for different climates of China," Energy, Elsevier, vol. 38(1), pages 236-248.
    6. Farzaneh-Gord, M. & Arabkoohsar, A. & Deymi Dasht-bayaz, M. & Farzaneh-Kord, V., 2012. "Feasibility of accompanying uncontrolled linear heater with solar system in natural gas pressure drop stations," Energy, Elsevier, vol. 41(1), pages 420-428.
    7. Hossein Yousefi & Hamed Hafeznia & Amin Yousefi-Sahzabi, 2018. "Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran," Energies, MDPI, vol. 11(7), pages 1-18, June.
    8. Chen, Xiao & Cao, Benyi & Pouramini, Somayeh, 2023. "Energy cost and consumption reduction of an office building by Chaotic Satin Bowerbird Optimization Algorithm with model predictive control and artificial neural network: A case study," Energy, Elsevier, vol. 270(C).
    9. Purohit, Ishan & Purohit, Pallav, 2015. "Inter-comparability of solar radiation databases in Indian context," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 735-747.
    10. Akyuz, E. & Coskun, C. & Oktay, Z. & Dincer, I., 2012. "A novel approach for estimation of photovoltaic exergy efficiency," Energy, Elsevier, vol. 44(1), pages 1059-1066.
    11. Sabzpooshani, Majid & Mohammadi, Kasra, 2014. "Establishing new empirical models for predicting monthly mean horizontal diffuse solar radiation in city of Isfahan, Iran," Energy, Elsevier, vol. 69(C), pages 571-577.
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