Title: Bin weather data for different climates of Turkey

Authors: Saban Pusat; İsmail Ekmekçi

Addresses: Department of Mechanical Engineering, Yildiz Technical University, Besiktas, Istanbul, Turkey ' Faculty of Applied Sciences, Istanbul Commerce University, Kuçukyali, Istanbul, Turkey

Abstract: In this study, bin weather data and bin method for Turkey which is a well-known and simple method to estimate heating and cooling loads were investigated. The bin weather data for dry-bulb temperature from -50°C to +50°C with 3°C increments were generated in six daily 4-h shifts. Typical meteorological year datasets were used to generate bin weather data for the selected eight cities (İstanbul, Ankara, Trabzon, Van, Diyarbakr, Adana, Sivas and Denizli) representing the distinct climatic zones of Turkey. Using typical meteorological year data in bin data generation is the original part of this study. Yearly total N_bin values for the selected cities were tabulated. Results of this study are important due to the data used, fill an important gap for Turkey about bin data and can simply be used in prediction of heating and cooling energy consumptions of buildings. Additionally, this study contributes well to the world literature on bin data.

Keywords: bin data; typical meteorological year; TMY; energy analysis; heating load; cooling load; Turkey; climate.

DOI: 10.1504/IJGW.2017.084016

International Journal of Global Warming, 2017 Vol.12 No.1, pp.85 - 98

Received: 18 Feb 2015
Accepted: 17 Jun 2015
Published online: 03 May 2017 *

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