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Analysis and evaluation of various aspects of solar radiation in the Palestinian territories

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dc.citedby37
dc.contributor.authorIsmail M.S.en_US
dc.contributor.authorMoghavvemi M.en_US
dc.contributor.authorMahlia T.M.I.en_US
dc.contributor.authorid9633224700en_US
dc.contributor.authorid7003701545en_US
dc.contributor.authorid56997615100en_US
dc.date.accessioned2023-12-29T07:43:42Z
dc.date.available2023-12-29T07:43:42Z
dc.date.issued2013
dc.description.abstractThis paper aims to evaluate the different models used to analyze different aspects of solar radiation in the Palestinian territories. Calculations of the optimized tilt and surface azimuth angles on monthly, seasonal and yearly basis were conducted, with the genetic algorithm being used for this purpose. Different PV tracking methods were also evaluated, taking into account the annual energy production. The different models used to calculate hourly global solar radiation from the daily data were tested in order to facilitate the selection of the most suitable model in the context of Palestine. The calibration of coefficients for the different regression models that were used for estimating the global solar radiation based on sunshine hours was also performed during the course of this work. These coefficients were calculated using both MATLAB's fitting tool and genetic algorithm. Linear, quadratic and linear-algorithmic regression models displayed almost identical results. Each has a distinctive predominant feature, especially in the context of statistical indicators. They were calculated using both the monthly average daily data and the daily data sets. With regards to the PV panel angles' optimization, it was found that the yearly optimum tilt angle (32.8) is adjacent to the latitude of the location (31.8), while the surface azimuth angle is 16. It was also found that changing the tilt angle of the PV panels quarterly (optimized on seasonally basis) increases energy yield by 3.4% when compared with fixing this tilt angle at yearly optimized value. It was also discovered that changing the surface azimuth angle is more effective during winters than summers. � 2013 Elsevier Ltd. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.enconman.2013.04.026
dc.identifier.epage68
dc.identifier.scopus2-s2.0-84877732012
dc.identifier.spage57
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84877732012&doi=10.1016%2fj.enconman.2013.04.026&partnerID=40&md5=53b95e51ec8f7d4547e949efdde2618e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29945
dc.identifier.volume73
dc.pagecount11
dc.sourceScopus
dc.sourcetitleEnergy Conversion and Management
dc.subjectAngstrom coefficients
dc.subjectGenetic algorithm
dc.subjectOptimum azimuth angle
dc.subjectOptimum tilt angle
dc.subjectPhotovoltaic
dc.subjectSolar energy
dc.subjectSolar tracking system
dc.subjectGenetic algorithms
dc.subjectOptimization
dc.subjectPhotovoltaic cells
dc.subjectRegression analysis
dc.subjectSolar energy
dc.subjectSolar power generation
dc.subjectSun
dc.subjectAngstrom coefficient
dc.subjectAzimuth angles
dc.subjectOptimum tilt angles
dc.subjectPhotovoltaic
dc.subjectSolar tracking systems
dc.subjectSolar radiation
dc.titleAnalysis and evaluation of various aspects of solar radiation in the Palestinian territoriesen_US
dc.typeArticleen_US
dspace.entity.typePublication
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