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Statistical analysis of solar radiation data
Date
2007-01-01
Author
Yilmaz, E.
Cancino, B.
Parra, W. R.
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Solar radiation is the most important parameter in the design and study of solar energy conversion devices. The present work is based on statistical analysis of solar radiation data for the city of Valparaiso in the coast region of Chile. Experimental data were obtained from the Santa Maria University in Valparaiso over a five-year period measured by the actinograph and the pyranometer. The error between the actinography values in relation to the pyranometer ones was determined. The most frequent error percent for the actinograph was from 10% to 20% and it corresponds to the 56% of the days of the year. The greatest error frequency is estimated in the solar radiation range between 3001-4000 Wh/ m(2), which corresponds to the 21% of the days of the year. Solar radiation data in Chile exists from about the 1960's; however, due to the inaccuracy of the measuring equipment, the enginery calculations have overestimation errors in the calculated area to be exposed to the sun. Those errors may imply overestimations around 15%; this is why the determination of a measurement error is necessary to correct the values and incorporate them to a more precise economical analysis.
Subject Keywords
Fuel Technology
,
Renewable Energy, Sustainability and the Environment
,
Energy Engineering and Power Technology
,
Nuclear Energy and Engineering
URI
https://hdl.handle.net/11511/67223
Journal
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
DOI
https://doi.org/10.1080/15567030701421505
Collections
Department of Physics, Article
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E. Yilmaz, B. Cancino, and W. R. Parra, “Statistical analysis of solar radiation data,”
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
, pp. 1371–1383, 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67223.