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Combination of Hargreaves method and linear regression as a new method to estimate solar radiation in Perlis, Northern Malaysia

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Main Authors: Ismail, Daut, Prof. Dr., Muhammad Irwanto, Mohd Irwan, Yusoff, Gomesh Nair, Shasidharan, Noor Syafawati, Ahmad
Other Authors: ismail.daut@unimap.edu.my
Format: Article
Language:English
Published: Elsevier Ltd. 2011
Subjects:
Hargreaves method
Linear regression
Solar radiation
Statistic analysis
Temperature
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/15106
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spelling my.unimap-151062019-05-10T04:08:48Z Combination of Hargreaves method and linear regression as a new method to estimate solar radiation in Perlis, Northern Malaysia Ismail, Daut, Prof. Dr. Muhammad Irwanto Mohd Irwan, Yusoff Gomesh Nair, Shasidharan Noor Syafawati, Ahmad ismail.daut@unimap.edu.my Hargreaves method Linear regression Solar radiation Statistic analysis Temperature Link to publisher's homepage at http://www.elsevier.com/ The best way to obtain the solar radiation data of a particular place of interest (POI) is to measure at the specific site continuously and accurately over the long term. However, due to financial, maintenance, calibration requirement of the measuring equipment or institutional limitations, these data are absent, incomplete or inaccessible in most areas of the world. Based on meteorological data from Chuping Station, Perlis which is at Northern Malaysia, there were several missing data of solar radiation for the year 2007 and 2008. This paper presents a new method to estimate the solar radiation which is a combination of Hargreaves method and linear regression. Normally, both regression coefficients, a and b of the linear regression are found based on the measured data, but using the proposed method, both regression coefficients based on the Hargreaves method with the correlated parameter, x is the difference of daily temperature. This paper also presents the basic knowledge of Hargreaves method before the proposed method is implemented. As validation, those solar radiation data that are measured by Chuping Station for the year 2006 and by Electrical Energy and Industrial Electronic System (EEIES) Cluster Station for the month of March-June 2011 and their estimated solar radiation data are compared and analyzed using coefficient of residual mass (CRM), root mean squared error (RMSE), Nash-Sutcliffe equation (NSE) and percentage error (e). The statistical analysis of the average monthly measured solar radiation data for the past 26 years (1979-2006) is compared with the estimated solar radiation data for 3 years (2006-2008). The proposed method result shows that the value of CRM is closer to zero which indicates that the proposed method is perfectly estimated, the values of RMSE are low value, this indicates that the method performs well, the value of NSE is closer to 1 which indicates that the estimated solar radiation match perfectly with the measured data taken for the past 26 years, the value of e is closer to zero which indicates that the proposed method is acceptable and applicable. 2011-10-27T09:35:39Z 2011-10-27T09:35:39Z 2011-11 Article Solar Energy, vol. 85 (11), 2011, pages 2871-2880 0038-092X http://www.sciencedirect.com/science/article/pii/S0038092X11002994 http://hdl.handle.net/123456789/15106 en Elsevier Ltd.
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Hargreaves method
Linear regression
Solar radiation
Statistic analysis
Temperature
spellingShingle Hargreaves method
Linear regression
Solar radiation
Statistic analysis
Temperature
Ismail, Daut, Prof. Dr.
Muhammad Irwanto
Mohd Irwan, Yusoff
Gomesh Nair, Shasidharan
Noor Syafawati, Ahmad
Combination of Hargreaves method and linear regression as a new method to estimate solar radiation in Perlis, Northern Malaysia
description Link to publisher's homepage at http://www.elsevier.com/
author2 ismail.daut@unimap.edu.my
author_facet ismail.daut@unimap.edu.my
Ismail, Daut, Prof. Dr.
Muhammad Irwanto
Mohd Irwan, Yusoff
Gomesh Nair, Shasidharan
Noor Syafawati, Ahmad
format Article
author Ismail, Daut, Prof. Dr.
Muhammad Irwanto
Mohd Irwan, Yusoff
Gomesh Nair, Shasidharan
Noor Syafawati, Ahmad
author_sort Ismail, Daut, Prof. Dr.
title Combination of Hargreaves method and linear regression as a new method to estimate solar radiation in Perlis, Northern Malaysia
title_short Combination of Hargreaves method and linear regression as a new method to estimate solar radiation in Perlis, Northern Malaysia
title_full Combination of Hargreaves method and linear regression as a new method to estimate solar radiation in Perlis, Northern Malaysia
title_fullStr Combination of Hargreaves method and linear regression as a new method to estimate solar radiation in Perlis, Northern Malaysia
title_full_unstemmed Combination of Hargreaves method and linear regression as a new method to estimate solar radiation in Perlis, Northern Malaysia
title_sort combination of hargreaves method and linear regression as a new method to estimate solar radiation in perlis, northern malaysia
publisher Elsevier Ltd.
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/15106
_version_ 1643806162984894464
score 13.222552

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