Literature DB >> 35739146

Assessment of solar radiation resource from the NASA-POWER reanalysis products for tropical climates in Ghana towards clean energy application.

Alfred Dawson Quansah1,2, Felicia Dogbey3, Prince Junior Asilevi4, Patrick Boakye5, Lawrence Darkwah6, Sampson Oduro-Kwarteng4, Yen Adams Sokama-Neuyam7, Patrick Mensah8.   

Abstract

In order to expand the output of solar power systems for efficient integration into the national grid, solar energy resource assessment at site is required. A major impediment however, is the widespread scarcity of radiometric measurements, which can be augmented by satellite observation. This paper assessed the suitability of satellite-based solar radiation resource retrieved from the NASA-POWER archives at [Formula: see text] spatial resolution over Ghana-West Africa, to develop a long-term source reference. The assessment is based on the criteria of comparison with estimations from sunshine duration measurement for 22 synoptic stations. Overall, the satellite-based data compared well with ground-based estimations by r = 0.6-0.94 ± 0.1. Spatiotemporally, the agreement is strongest over the northern half Savannah-type climate during March-May, and weakest over the southern half Forest-type climate during June-August. The assessment provides empirical framework to support solar energy utilization in the sub-region.
© 2022. The Author(s).

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Year:  2022        PMID: 35739146      PMCID: PMC9226134          DOI: 10.1038/s41598-022-14126-9

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  2 in total

1.  Assessment of global warming in Al Buraimi, sultanate of Oman based on statistical analysis of NASA POWER data over 39 years, and testing the reliability of NASA POWER against meteorological measurements.

Authors:  Osama A Marzouk
Journal:  Heliyon       Date:  2021-03-30

2.  Mean Bias in Seasonal Forecast Model and ENSO Prediction Error.

Authors:  Seon Tae Kim; Hye-In Jeong; Fei-Fei Jin
Journal:  Sci Rep       Date:  2017-07-20       Impact factor: 4.379

  2 in total

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