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dc.contributor.authorHULD THOMASen_GB
dc.contributor.authorPAIETTA ELENAen_GB
dc.contributor.authorZANGHERI PAOLOen_GB
dc.contributor.authorPINEDO PASCUA IRENEen_GB
dc.date.accessioned2018-08-08T00:17:01Z-
dc.date.available2018-08-06en_GB
dc.date.available2018-08-08T00:17:01Z-
dc.date.created2018-07-16en_GB
dc.date.issued2018en_GB
dc.date.submitted2017-06-26en_GB
dc.identifier.citationATMOSPHERE vol. 9 no. 2 p. 1-21en_GB
dc.identifier.issn2073-4433en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC107265-
dc.description.abstractWe present a method to generate Typical Meteorological Year (TMY) data sets for use in calculations of the energy performance of buildings, based on satellite derived solar radiation data and other meteorological parameters obtained from Reanalyis products. The great advantage of this method is the availability of data over large geographical regions, giving global coverage for the reanalysis and continental-scale coverage for the solar radiation data, making it possible to generate TMY data for nearly any location, independent of the availability of meteorological measurement stations in the area. The TMY data generated with this method have been validated against 487 meteorological stations in Europe, by calculating heating and cooling degree days, and by running building energy performance simulations using EnergyPlus. Results show that the generated data sets using a long time series perform better than the TMY data generated from station measurements for building heating calculations and nearly as well for cooling calculations, with relative standard deviations remaining below 6% for heating calculations, while TMY data constructed using the proposed method yield somewhat larger deviations compared to TMY data constructed from station data. We outline a number of possibilities for further improvement using data sets that will become available in the near future.en_GB
dc.description.sponsorshipJRC.C.2-Energy Efficiency and Renewablesen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherMDPI AGen_GB
dc.relation.ispartofseriesJRC107265en_GB
dc.titleAssembling Typical Meteorological Year data sets for building energy performance using reanalysis and satellite-based dataen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.3390/atmos9020053en_GB
JRC Directorate:Energy, Transport and Climate

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