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Title: Determination of a Mean Solar Radiation Year and of a Typical Meteorological Year for the region of Funchal in the Madeira Island
Other Titles: Determinação do Ano Médio de Radiação Solar e do Ano Meteorológico Típico para a região do Funchal na ilha da Madeira
Authors: Abreu, Edgar
Canhoto, Paulo
Prior, Victor
Melício, Rui
Keywords: Typical Meteorological Year
Solar radiation
Solar Energy
Madeira Island
Issue Date: 28-Jun-2016
Publisher: 9ª Asamblea Hispano Portuguesa de Geodesia y Geofísica
Citation: Edgar Abreu, Paulo Canhoto, Victor Prior, Rui Melício, Determination of a Mean Solar Radiation Year and of a Typical Meteorological Year for the region of Funchal in the Madeira Island, 9 AHPGG, Madrid, June 2016
Abstract: This paper presents the determination of a mean solar radiation year and of a typical meteorological year for the region of Funchal in the Madeira Island, Portugal. The data set includes hourly mean and extreme values for air temperature, relative humidity and wind speed and hourly mean values for solar global and diffuse radiation for the period 2004-2014, with maximum data coverage of 99.7%. The determination of the mean solar radiation year consisted, in a first step, in the average of all values for each pair hour/day and, in a second step, in the application of a five days centred moving average of hourly values. The determination of the typical meteorological year was based on Finkelstein-Schafer statistics, which allows to obtain a complete year of real measurements through the selection and combination of typical months, preserving the long term averages while still allowing the analysis of short term events. The typical meteorological year validation was carried out through the comparison of the monthly averages for the typical year with the long term monthly averages. The values obtained were very close, so that the typical meteorological year can accurately represent the long term data series. The typical meteorological year can be used in the simulation of renewable energy systems, namely solar energy systems, and for predicting the energy performance of buildings.
Type: lecture
Appears in Collections:CGE - Comunicações - Em Congressos Científicos Internacionais

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