A new approach for predicting cooling degree-hours and energy requirements in buildings

Energy

Volumn 36, Issue 8, 2011, Pages 4855-4863

  Oktay, Z ^a   Coskun, C ^a   Dincer, I ^b  

^a BALIKESIR UNIVERSITY   (Turkey)

^b UNIVERSITY OF ONTARIO INSTITUTE OF TECHNOLOGY   (Canada)

Author keywords

Building; Cooling; Cooling load; Degree hours; Dimensionless temperature variation coefficient; Energy analysis

Indexed keywords

ATMOSPHERIC TEMPERATURE; ENERGY MANAGEMENT; FORECASTING; GEOGRAPHICAL REGIONS; SPACE HEATING; TEMPERATURE DISTRIBUTION;

COOLING LOAD; DEGREE-HOURS; DIMENSIONLESS TEMPERATURE VARIATION COEFFICIENT; ENERGY ANALYSIS; ENERGY REQUIREMENTS; IN-BUILDINGS; OUTDOOR TEMPERATURE; TEMPERATURE VARIATION;

COOLING;

BUILDING; COOLING; DIMENSIONLESS NUMBER; DIURNAL VARIATION; ENERGY EFFICIENCY; GEOGRAPHICAL REGION; PREDICTION; TEMPERATURE EFFECT;

TURKEY;

EID: 79961022598     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2011.05.022     Document Type: Article

References (18)

1. Sarak H., Satman A. The degree-day method to estimate the residential heating natural gas consumption in Turkey: a case study. Energy 2001, 28:929-939.
2. Dombayci O.A. Degree-days maps of Turkey for various base temperatures. Degree-days maps of Turkey for various base temperatures. Energy 2009, 34:1807-1812.
3. Sen Z., Kadioglu M. Heating degree-days for arid regions. Energy 1997, 23:1089-1094.
4. El-Shaarawi M.A.I., Al-Masri N. Weather data and heating-degree days for Saudi Arabia. Energy 1996, 21:39-44.
5. Satman A., Yalcinkaya N. Heating and cooling degree-hours for Turkey. Energy 1999, 24(10):833-840.
6. Duryamaz A., Kadioglu M., Sen Z. An application of the degree-hours method to estimate the residential heating energy requirement and fuel consumption in Istanbul. Energy 2000, 25:1245-1256.
7. Bulut H., Büyükalaca O., Yilmaz T. New outdoor cooling design data for Turkey. Energy 2002, 27:923-946.
8. Bulut H., Büyükalaca O., Yilmaz T. New outdoor heating design data for Turkey. Energy 2003, 28:1133-1150.
9. Coskun C. A novel approach to degree-hour calculation: indoor and outdoor reference temperature based degree-hour calculation. Energy 2010, 35:2455-2460.
10. Tovar J., Olmo F.J., Batlles F.J., Alados-Arboledas L. Dependence of one-minute global irradiance probability density distributions on hourly irradiation. Energy 2001, 26:659-668.
11. Celik A.N. On the distributional parameters used in assessment of the suitability of wind speed probability density functions. Energy Conversion and Management 2004, 45:1735-1747.
12. Coskun C., Oktay Z., Dincer I. Estimation of monthly solar radiation intensity distribution for solar energy system analysis. Energy 2011, 36(2):1319-1323.
13. Akyuz E., Coskun C., Oktay Z., Dincer I. Hydrogen production probability distributions for a PV-electrolyser system. International Journal of Hydrogen Energy 2011, 10.1016/j.ijhydene.2010.11.125.
14. Crawley D.B., Hand J.W., Kummert M., Griffith B.T. Contrasting the capabilities of building energy performance simulation programs August 15-18, 2005, Ninth International IBPSA Conference, Montréal, Canada, 231-238.
15. Zhang Q., Chengzhi L., Hongxing Y. Trends of Climate change and air-conditioning load of residential buildings in China. Journal of Asian Architecture and Building Engineering 2006, 5:435-441.
16. Zhang Q. Climatic zoning for the thermal design of residences in China based on heating degree-days and cooling degree-hours. Journal of Asian Architecture and Building Engineering 2005, 4:533-539.
17. http://www.dmi.gov.tr/veridegerlendirme/il-ve-ilceler-istatistik.aspx.
18. Kaynakli O. A study on residential heating energy requirement and optimum insulation thickness. Renewable Energy 2008, 33:1164-1217.