A Combination of Heliosat-1 and Heliosat-2 Methods for Deriving Solar Radiation from Satellite ...

A Combination of Heliosat-1 and Heliosat-2 Methods for Deriving Solar Radiation from Satellite ...

7 Pages · 2015 · 278 KB · English

Solar radiation estimation from geostationary satellite images is accepted by the international scientific community, especially where no previous ground radiometric measurements are available. The most accepted methodology is. Heliosat. In this work, a combination of the existing methods Heliosat-

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Energy Procedia 57 ( 2014 ) 1037 – 1043 Available online at wwwsciencedirectcom ScienceDirect 18766102 © 2014 The Authors Published by Elsevier Ltd This is an open access article under the CC BYNCND license (http://creativecommonsorg/licenses/byncnd/30/) Selection and/or peerre view under responsibility of ISES doi: 101016/jegypro201410088 2013 ISES Solar World Congress A combination of Heliosat1 and Heliosat 2 methods for deriving solar rad iation from satellite images Iñigo Pagola a,*, Martín Gastón a, Ana Bernardos a, Carlos FernándezPeruchena a aNational Renewable Energy Centre (CENER), Ciudad de la Innovación 7, Sarriguren 31621, Spain Abstract Solar radiation estimation from geostationary satellite imag es is accepted by the international scientific community, especially where no previous ground radiometric measurem ents are available The most accep ted methodology is Heliosat In this work, a combination of the existing methods Heliosat 1 and Heliosat2 has been implemented for this p urpose, and the obtained results are presented To analyze the results provided by the implemented methodology a validation against measurements has been made Firstly, solar Global Horizontal Irradiance (GHI) has been estima ted from satellite images using data of the Meteosat Second Generation (MSG) satellite corresponding to the period from 2009 to 2011 Secondly, measurements reco rd ed during the same period of time at the Cener station which belong s to the Baseline Surface Radiation Ne tw ork (BSRN) have been obtained Both estimated and measured data have been integrated into hourly values for the validation process The obtained values for Cener BSRN station are a MBE of 2% and a RMSE of 113 W/m2, which are smaller than the r e commended values for hourly GHI data (MBE smaller than 5% and RMSE smaller than 160 W/m2) During the m ont hs of summer the errors in terms of W/m 2 are bigger than during the months of winter However, since the ir radiance is higher during the months of summer, the errors are smaller in terms of % during the months of summer Although the methodology can be applied to locations where no ground measurements are available, it is preferable to analyze locations with available measured data © 2013 The Authors Published by Elsevier Ltd Selection and/or peer review under responsibility of ISES Keywords : solar resource assessment; satellite images; Heliosat * Corresponding author Tel: +34 948 25 28 00; fax: +34 948 27 07 74 E mail address: [email protected] © 2014 The Authors Published by Elsevier Ltd This is an open access article under the CC BYNCND license (http://creativecommonsorg/licenses/byncnd/30/) Selection and/or peerre view under responsibility of ISES 1038 Iñigo Pagola et al / Energy Procedia 57 ( 2014 ) 1037 – 1043 1 Introduction Before the planning of any solar energy project, so lar resour ce assessment is an essential first step Solar resource assessment provides the means to ac curately determine the availability of solar radiation, to understand its ch aracteristics, and to validate its quality It also provides the resources for developing, deploy i ng, and operating cost effective solar energy technologies When assessing the solar resource , one of the most important factors is the availability of ground m e asurements Ground based pyranometers are capable of measuring solar radiation at specific networks bu t n ot at large spatial resolutions This fact motivated the use of satellite data as an important alternative to ass ess t he solar resource fo r large areas

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