The generation of typical meteorological year and climatic database of Turkey for the energyanalysis of buildings

dc.authorid0000-0002-2247-2549en_US
dc.contributor.authorEkmekçi, İsmail
dc.contributor.authorYılmaz, Serpil
dc.contributor.authorYılmaz, Mustafa
dc.date.accessioned2019-08-27T07:15:31Z
dc.date.available2019-08-27T07:15:31Z
dc.date.issued2016en_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractFor sustainable development, a reduction in energy demand is essential. This could be achieved through improving energy efficiency, effective energy conservation and management. The weather conditions of a given region are the most important considerations for the proper design of space AC systems. In this study, The typical meteorological year and climatic database of Turkey for the energy analysis of buildings were generated by SQL database programmimg language. The Finkelstein–Schafer statistical method was applied to analyze the hourly measured weather data of a 23-year period (1989–2012).and select representative typical meteorological months (TMMs). The selection criteria was based on 13 meteorological parameters. These parameters are the daily mean, maximum and minimum values and ranges of temperature, dew-point and wind velocity and the daily values of global solar radiation. According to results of TMY, climatic database of turkey including daily or hourly climate variables was created in sql data tables.en_US
dc.identifier.issue228en_US
dc.identifier.startpage233en_US
dc.identifier.urihttps://hdl.handle.net/11467/2920
dc.language.isoenen_US
dc.publisherTurkish Society of Hvac and Sanitary Engineersen_US
dc.relation.ispartofXII. International HVAC+R Technology Symposiumen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleThe generation of typical meteorological year and climatic database of Turkey for the energyanalysis of buildingsen_US
dc.typeConference Objecten_US

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