Ranking South African provinces on the basis of MERRA 2D surface incident shortwave flux

Authors

  • Jyotsna Singh South African Weather Service

DOI:

https://doi.org/10.17159/2413-3051/2016/v27i3a1555

Keywords:

solar radiation, solar energy, reanalysis data

Abstract

The main objective of the present study is to rank South African provinces on the basis of incoming solar radiation. The surface incident shortwave flux (SWFlux, Wm-2) of NASA Modern-Era Retrospective Analysis for Research and Applications (MERRA 2D) reanalysis data for the period 1980–2009 over South Africa was analysed on annual, seasonal and monthly scales. The monthly mean ± standard deviation values of SWFlux for the period revealed that, Northern Cape received the most (267.38 ± 4.32 Wm-2) incoming solar radiation throughout the year, followed by North West (263.37 ± 7.13 Wm-2) and Free State (259.20 ± 7.66 Wm-2). The northern region of Limpopo also showed a good amount of incoming solar radiation (257.95 ± 6.16 Wm-2) at the surface. KwaZulu-Natal received least (232.99 ± 7.02 Wm-2) amount of mean monthly
solar radiation in comparison with other provinces. On an annual scale, the Northern Cape ranked first, and on seasonal and monthly scales North West ranked first. Limpopo and Free State also performed well in the present study.

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References

Atilgan, B. and Adisa A. 2015. Life cycle environmental impacts of electricity from fossil fuels in Turkey. Journal of Cleaner Production 106: 555–564.

Bosilovich M., Chen J., Robertson F.R. and Adler R.F. 2008. Evaluation of global precipitation in reanalyses. Journal of Applied Meteorology and Climatology 47(9): 2279–2299.

Chand, P, Sharma M. P., and Prasad R. N. 2016. Heterogeneity in fluctuations of glacier with clean ice-covered, debris-covered and proglacial lake in the Upper Ravi Basin, Himachal Himalaya (India),

during the past four decades (1971–2013). In Singh, R, Schickhoff, U and Mal, S (eds) Climate change, glacier response, and vegetation dynamics in the Himalaya: 155–179. Springer.

Drummond, A.J. and Vowinckel, E. 1957. The distribution of solar radiation throughout Southern Africa. Journal of Meteorology 14(4): 343–353.

Earth data, Giovanni. http://giovanni.sci.gsfc.nasa.gov/giovanni/ (Retrieved on June, 2015).

Fluri, T.P. The potential of concentrating solar power in South Africa. 2009. Energy Policy 37(12): 5075–5080.

Gan, C.M., Pleim, J., Mathur, R., Hogrefe, C., Long, C.N., Xing, J., Roselle, S. and Wei, C. 2014 Assessment of the effect of air pollution controls on trends in shortwave radiation over the United States

from 1995 through 2010 from multiple observation networks. Atmospheric Chemistry and Physics 14(3): 1701–1715.

Goumas, M., and V. Lygerou. 2000. An extension of the PROMETHEE method for decision making in fuzzy environment: Ranking of alternative energy exploitation projects. European Journal of Operational Research 123(3): 606–613.

JAWF (Joint Agricultural Weather Facility), 1999. Major world crop areas and climate profiles. www.usda.gov/oce/waob/jawf/profiles/ mwcacp2.htm (Retrieved on May, 2015).

Kleissl, J. 2013. Solar energy forecasting and resource assessment. Academic Press.

Kougias, I., Szabó, S., Monforti-Ferrario, F., Huld, T. and Bódis, K. 2016. Methodology for optimization of the complementarity between small-hydropower plants and solar PV systems. Renewable Energy 87: 1023–1030.

Mohamadabadi, H. Safaei, G. Tichkowsky, and A. Kumar. 2009. Development of a multi-criteria assessment model for ranking of renewable and nonrenewable transportation fuel vehicles. Energy 34(1): 112–125.

Munzhedzi, R. and Sebitosi, A.B. 2009. Redrawing the solar map of South Africa for photovoltaic applications. Renewable Energy 34(1):165–169.

Rienecker, M.M., Suarez, M.J., Gelaro, R., Todling, R., Bacmeister, J., Liu, E., Bosilovich, M.G., Schubert, S.D., Takacs, L., Kim, G.K. and Bloom, S. 2011. MERRA: NASA’s modern-era retrospective analysis for research and applications. Journal of Climate 24(14): 3624–3648.

Robertson, F.R., Bosilovich, M.G., Chen, J. and Miller, T.L. 2011. The effect of satellite observing system changes on MERRA water and energy fluxes. Journal of Climate 24(20): 5197–5217.

Schulze, R. E., and O. S. McGee. 1976. Winter and summer insulation patterns for Southern Africa. South African Journal of Science, 72:182-183.

Schubert, S., Wang, H. and Suarez, M. 2011. Warm season sub-seasonal variability and climate extremes in the northern hemisphere: The role of stationary Rossby waves. Journal of Climate 24(18): 4773–4792.

Şengül, Ü., Eren, M., Shiraz, S.E., Gezder, V. and Şengül, A.B. 2015. Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey. Renewable Energy 75: 617–625.

Singh, J., Kumar, M. and Bhattacharya, B.K. 2011. Solar energy potential of two metropolitan cities of India. In Pradhan, R.P. (ed). Infrastructure – the key to development. Proceedings of International Conference on Infrastructure Finance (ICIF 2010)

held jointly by Vinod Gupta School of Management and RCG School of Infrastructure Design and Management, Indian Institute of Technology Kharagpur on June 03-05, 2010. Macmillan India.

Singh, J., Bhattacharya, B.K., Kumar, M. and Mallick, K. 2013. Modelling monthly diffuse solar radiation fraction and its validity over the Indian sub-tropics. International Journal of Climatology 33(1):77–86.

Singh, J., Bhattacharya, B. K., Kumar, M. 2012. Solar Radiation and Evaporation Trend over India. Journal of Earth Science and Engineering, 2(3): 160-165.

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Published

2016-09-23

How to Cite

Singh, J. (2016). Ranking South African provinces on the basis of MERRA 2D surface incident shortwave flux. Journal of Energy in Southern Africa, 27(3), 50–57. https://doi.org/10.17159/2413-3051/2016/v27i3a1555