Analysis and evaluation of various aspects of solar radiation in the Palestinian territories
This 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 pur...
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
2023
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-29945 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-299452023-12-29T15:43:42Z Analysis and evaluation of various aspects of solar radiation in the Palestinian territories Ismail M.S. Moghavvemi M. Mahlia T.M.I. 9633224700 7003701545 56997615100 Angstrom coefficients Genetic algorithm Optimum azimuth angle Optimum tilt angle Photovoltaic Solar energy Solar tracking system Genetic algorithms Optimization Photovoltaic cells Regression analysis Solar energy Solar power generation Sun Angstrom coefficient Azimuth angles Optimum tilt angles Photovoltaic Solar tracking systems Solar radiation This 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. Final 2023-12-29T07:43:42Z 2023-12-29T07:43:42Z 2013 Article 10.1016/j.enconman.2013.04.026 2-s2.0-84877732012 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877732012&doi=10.1016%2fj.enconman.2013.04.026&partnerID=40&md5=53b95e51ec8f7d4547e949efdde2618e https://irepository.uniten.edu.my/handle/123456789/29945 73 57 68 Scopus |
institution |
Universiti Tenaga Nasional |
building |
UNITEN Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Tenaga Nasional |
content_source |
UNITEN Institutional Repository |
url_provider |
http://dspace.uniten.edu.my/ |
topic |
Angstrom coefficients Genetic algorithm Optimum azimuth angle Optimum tilt angle Photovoltaic Solar energy Solar tracking system Genetic algorithms Optimization Photovoltaic cells Regression analysis Solar energy Solar power generation Sun Angstrom coefficient Azimuth angles Optimum tilt angles Photovoltaic Solar tracking systems Solar radiation |
spellingShingle |
Angstrom coefficients Genetic algorithm Optimum azimuth angle Optimum tilt angle Photovoltaic Solar energy Solar tracking system Genetic algorithms Optimization Photovoltaic cells Regression analysis Solar energy Solar power generation Sun Angstrom coefficient Azimuth angles Optimum tilt angles Photovoltaic Solar tracking systems Solar radiation Ismail M.S. Moghavvemi M. Mahlia T.M.I. Analysis and evaluation of various aspects of solar radiation in the Palestinian territories |
description |
This 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. |
author2 |
9633224700 |
author_facet |
9633224700 Ismail M.S. Moghavvemi M. Mahlia T.M.I. |
format |
Article |
author |
Ismail M.S. Moghavvemi M. Mahlia T.M.I. |
author_sort |
Ismail M.S. |
title |
Analysis and evaluation of various aspects of solar radiation in the Palestinian territories |
title_short |
Analysis and evaluation of various aspects of solar radiation in the Palestinian territories |
title_full |
Analysis and evaluation of various aspects of solar radiation in the Palestinian territories |
title_fullStr |
Analysis and evaluation of various aspects of solar radiation in the Palestinian territories |
title_full_unstemmed |
Analysis and evaluation of various aspects of solar radiation in the Palestinian territories |
title_sort |
analysis and evaluation of various aspects of solar radiation in the palestinian territories |
publishDate |
2023 |
_version_ |
1806428309612920832 |
score |
13.214268 |