Erdem YAŞAR, Mustafa ERTÜRK

40922

INVESTIGATION OF A DIFFERENT METHOD IN FREE HEATING DEGREE HOURS CALCULATIONS FOR AYDIN PROVINCE

INVESTIGATION OF A DIFFERENT METHOD IN FREE HEATING DEGREE HOURS CALCULATIONS FOR AYDIN PROVINCE

The total energy used in the buildings is mainly spent on heating the premises during winter season. To reduce the energy need for heating without disturbing the comfort of residents, insulation on the outer walls, columns, beams, and double-glazing application on the windows is recommended for significant reduction in energy consumption. Free heating systems can also be used to reduce the energy requirement for heating. In this system, when the outdoor air temperature is above the indoor reference temperature (20 ° C), the heating systems (full air conditioning systems) meet the energy needs of the space by sending the fresh air taken from the outside environment directly into the space by bypassing the heating batteries.To carry out the design phase of this system, the frequency of reliable outdoor temperature distributions of 24 hours, separately for all months in the heating season, constitutes an important parameter. In this study, analyzes were made with 5 different programs written on visual basic. According to the results of the analysis; The system will meet the heating loads for the province of Aydın at any time of any month during the heating period, without commissioning the seasonal free heating working times and heating systems for each month in the season between any two time zones. Free Heating Degree Hour Value (SIDSD) was introduced to the literature for the first time. The maximum seasonal SIDSD in Aydın province is 746.4 between 13:00-14:00, the maximum SIDSD in the heating season is 276.4 between 14:00-15:00 in April, the maximum SIDSD in the months of the heating period is 2505.4 in April. 24 hours total SIDSD was estimated for Aydın for the first time.
Keywords:

Aydın, outdoor temperature heating degree hour, free heating degree hour,

PDF

___

  • [1] H. Asan, Y.S. Sancaktar, Effects of wall’s thermophysical properties on time lag and decrement factor, Energy and Buildings 28 (1998) 159–166.
  • [2] H. Asan, Effects of wall’s insulation thickness and position on time lag and decrement factor, Energy and Buildings 28 (1998) 299–305.
  • [3] V. Cheng, E. Ng, B. Givoni, Effect of envelope colour and thermal mass on indoor temperatures in hot humid climate, Solar Energy 78 (4) (2005)528–534.
  • [4] B. Givoni, Characteristics, design implications, and applicability of passive solar heating systems for buildings, Solar Energy 47 (6) (1991)425–435.
  • [5] J. Maloney, T.Wan, B. Chen, J. Thorp, Thermal network predictions of the daily temperature fluctuations in a direct gain room, Solar Energy 29 (3)(1982) 207–223.
  • [6] M.S. Sodha, J.K. Nayak, N.K. Bansal, I.C. Goyal, Thermal performance of a solarium with removable insulation, Building and Environment 17 (1)(1982) 23–32.
  • [7] R.J. Duffin, A passive wall design to minimize building temperature swings, Solar Energy 33 (3/4) (1984) 337–342.
  • [8] Aktacir, M. A., Bulut, H. 2007. Kayseri İlinin Serbest Soğutma Potansiyelinin İncelenmesi, Ulusal Isı Bilimi ve Tekniği Kongresi, 30 May – 2 June, 2007, Kayseri.
  • [9]Kreider, J.F., Rabl, A., Heating and Cooling of Buildings, McGraw-Hill Inc., McGraw Hill Inc., New York, 1994.]
  • [10] Isısan, Enerji Ekonomisi, Isısan Çalışmaları No:351, İstanbul, 2005.
  • [11] Fanger, P.O., How to make indoor air quality one hundred times better while saving energy, VI. International HVAC+R Technology Symposium, Istanbul, 2004.].
  • [12] Olsen, E.L., Qinyan, Y.C.,. Energy consumption and comfort analysis for different low-energy cooling systems in a mild climate, Energy and Buildings 35, 561–571, 2003.
  • [13] Kolokotroni, M., Aronis A., Cooling-energy reduction in air-conditioned offices by using night ventilation, Applied Energy 63, 241-253, 1999
  • [14] Balaras, C.A., The Role of thermal mass on the cooling load of buildings: an overview of computational methods, Energy and Buildings 24, 1-10. 1996.
  • [15][Ghiaus, C., Allard, F., Potential for free-cooling by ventilation, Solar Energy 80(4), 402-413, 2006].
  • [16] Geros,V., Santamouris, M., Karatasou S.,Tsangrassoulis, A., Papanikolaou, N., On the cooling potential of night ventilation techniques in the urban environment, Energy and Buildings 37, 243–257, 2005.
  • [17] Lopez , G. and Dejong, T.M. (2007). Spring temperatures have a major effect on early stages of peach fruit growth. Journal of Horticultural Science and Biotechnology, 82 (4), 507–512.
  • [18] Grossman, Y.,I. and Dejong T., M. (1994). Carbonhydrate requirements for dark respiration by peach vegetative organs. The Journal of Tree Physiology, Heron Publishing, Canada, 14, 37-48.
  • [19] Guttman, N.B. and Lehman, R. L. (1992). Estimation of daily degree-hours. Journal of Applied Meteorology, California, 31, 797-810.
  • [20]Bulut, H., Buyukalaca, O. and Yilmaz, T. (2002). Determination and application of the data used in energy estimation methods for Istanbul. Proceedings of 5th International HVAC&R Technology Symposium, İstanbul, Turkey, 1-11.
  • [21]Balo F., Uçar A. ve İnallı M. (2011). Yapıların Dış Duvarlarında Optimum Yalıtım Kalınlığının Üç Farklı Metotla Tespiti. X Ulusal Tesisat Mühendisliği Kongresi, İzmir, 1, 273-285.
  • [22]Bolattürk A. (2006). Determination of optimum insulation thickness for building walls with respect to various fuels and climate zones in Turkey. Applied Thermal Engineering, 26, (11–12), 1301–1309.
  • [23] Coşkun, C., Ertürk, M., Oktay, Z. ve Dinçer, İ. (2010). Aylık bazda saatlik derece-saat değerlerinin tespitini mümkün kılan yeni bir yaklaşım. Tesisat Mühendisliği Dergisi. 49-55.
  • [24] Coşkun, C., Oktay, Z. ve Ertürk, M. (2011). Konutların Isıtma Sezonunda Seçilen İç Ortam Sıcaklık Parametresinin Enerji-Maliyet-Çevre Açısından Değerlendirilmesi ve Bir Uygulama Örneği, Tesisat Mühendisliği, 10(22), 11-18.
  • [25] Durmazayaz, A., Kadıoğlu M. (2003). Heating energy requirements and fuel consumptions in the biggest city centers of Turkey. Energy Conversion and Management, 44 (7), 1177–1192.
  • [26] Işık, E., İnallı, M. & Celik, E. ANN and ANFIS Approaches to Calculate the Heating and Cooling Degree Day Values: The Case of Provinces in Turkey. Arab J Sci Eng 44, 7581–7597 (2019). https://doi.org/10.1007/s13369-019-03852-4
  • [27] Işık E., Inallı M. Artificial neural networks and adaptive neuro-fuzzy inference systems approaches to forecast the meteorological data for HVAC: The case of cities for Turkey, Energy, 154 (2018), pp. 7-16 https://doi.org/10.1016/j.energy.2018.04.069
  • [28] Büyükalaca, O. ve Bulut, H. (2003). Detailed weather data for the provinces covered by the Southeastern Anatolia Project(GAP) of Turkey. Applied Energy, 77, 187–204.
  • [29] Ertürk. M.. “Isıtma ve Soğutma Derece Saat Hesaplamalarında Farklı Bir Yöntemin Araştırılması ve Geliştirilmesi. Doktora Tezi. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü. 2012. Balıkesir.
Electronic Letters on Science and Engineering-Cover
  • ISSN: 1305-8614
  • Yayın Aralığı: Yılda 2 Sayı
  • Başlangıç: 2005
  • Yayıncı: Fevzullah TEMURTAŞ
Arşiv
Sayıdaki Diğer Makaleler

Breast Cancer Prediction with Artificial Intelligence Based Clinical Decision Support System

Hasibe CANDAN, Hasan ŞAHİN

Büyük Hadron Çarpıştırıcısındaki CMS Deneyinde Hadronik Kalorimetrenin Ön-Uç Okuma Sistemlerinin Gürültü Analizinin İncelenmesi

Kadri ÖZDEMİR

INVESTIGATION OF A DIFFERENT METHOD IN FREE HEATING DEGREE HOURS CALCULATIONS FOR AYDIN PROVINCE

Erdem YAŞAR, Mustafa ERTÜRK

Değişik oranlarda Prejelatinize Buğday Unu Kullanımının Katkısız Pidelik Unların Kimyasal, Teknolojik ve Reolojik Özelliklerine Etkisi

Halef DİZLEK