Degree-days maps of Turkey for various base temperatures

被引：66

作者：

Dombayci, Oe. Altan ^{[1
]}

机构：

[1] Pamukkale Univ Denizli, Tech Educ Fac, Dept Machine Educ, Denizli, Turkey

来源：

ENERGY | 2009年 / 34卷 / 11期

关键词：

Turkey; Heating degree-days; Cooling degree-days; ENERGY-CONSUMPTION; IMPACT;

D O I：

10.1016/j.energy.2009.07.030

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

The aim of this study is to calculate HDD and CDD numbers for various base temperatures by using daily maximum and minimum temperature data for the long-term (21 years), measured at meteorological stations in 79 city centers of Turkey, and to draw maps of these numerical data. Five different base temperatures have been used for HDD and six for CDD in the calculations; the heating and cooling degree-day numbers found are given in the form of a table. The maximum and minimum HDD, for the base temperature of 17.5 degrees C, were respectively (HDD=4581) in Ardahan and (HDD=783) in Mersin; maximum CDD, for the basee temperature of 22 degrees C, was (970) in Sanhurfa and the minimum CDD was (CDD=61) in Ardahan. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1807 / 1812

页数：6

共 18 条

[1] Degree-days, degree-hours and ambient temperature bin data from monthly-average temperatures (Romania) [J].

Badescu, V ;

Zamfir, E .

ENERGY CONVERSION AND MANAGEMENT, 1999, 40 (08) :885-900

[2]

Bellia L, 1998, INT J ENERG RES, V22, P1205

[3]

*BOY YAY GRUB, 2003, ENCY MILL WORLS ATL, P25

[4] Analysis of variable-base heating and cooling degree-days for Turkey [J].

Büyükalaca, O ;

Bulut, H ;

Yilmaz, T .

APPLIED ENERGY, 2001, 69 (04) :269-283

[5] Climate warming impact on degree-days and building energy demand in Switzerland [J].

Christenson, M ;

Manz, H ;

Gyalistras, D .

ENERGY CONVERSION AND MANAGEMENT, 2006, 47 (06) :671-686

[6] Energy balance, energy sources, energy policy, future developments and energy investments in Turkey [J].

Demirbas, A .

ENERGY CONVERSION AND MANAGEMENT, 2001, 42 (10) :1239-1258

[7] An application of the degree-hours method to estimate the residential heating energy requirement and fuel consumption in Istanbul [J].

Durmayaz, A ;

Kadioglu, M ;

Sen, Z .

ENERGY, 2000, 25 (12) :1245-1256

[8] Prediction of building energy consumption by using artificial neural networks [J].

Ekici, Betul Bektas ;

Aksoy, U. Teoman .

ADVANCES IN ENGINEERING SOFTWARE, 2009, 40 (05) :356-362

[9] The impact of energy consumption on economic growth: Evidence from linear and nonlinear models in Taiwan [J].

Lee, Chien-Chiang ;

Chang, Chun-Ping .

ENERGY, 2007, 32 (12) :2282-2294

[10] Energy resources and use: The present situation and possible paths to the future [J].

Lior, Noam .

ENERGY, 2008, 33 (06) :842-857

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