Dergiler / Politeknik Dergisi / 2020 / Cilt: 23 - Sayı: 3

Mapping of Turkey’s District Heating/Cooling Requirements

Sayfa
867–878
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Using the data obtained, an important source data was obtained to investigate the possibility of using alternative energy sources for each region or even every province.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:One of the most important parameters of energy efficiency is to determine the heating and cooling requirements of the buildings and to develop the appropriate heating/cooling technology.
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Temel Bulgular & Veri:Heating/cooling loads of the residences were made separately for each province according to the heating regions determined in accordance with TS 825.
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Sonuç & Katkı:Using the data obtained, an important source data was obtained to investigate the possibility of using alternative energy sources for each region or even every province.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Heating · cooling · energy

Özet

One of the most important parameters of energy efficiency is to determine the heating and cooling requirements of the buildings and to develop the appropriate heating/cooling technology. In this study, the regional residence heating/cooling loads were determined in order to develop technology for regional heating/cooling systems in Turkey. Heating/cooling loads of the residences were made separately for each province according to the heating regions determined in accordance with TS 825. Fuel and electricity consumption, population, number of residences and meteorological data were used as the basis for determining the heating/cooling loads. Using the data obtained, an important source data was obtained to investigate the possibility of using alternative energy sources for each region or even every province.

Abstract

One of the most important parameters of energy efficiency is to determine the heating and cooling requirements of the buildings and to develop the appropriate heating/cooling technology. In this study, the regional residence heating/cooling loads were determined in order to develop technology for regional heating/cooling systems in Turkey. Heating/cooling loads of the residences were made separately for each province according to the heating regions determined in accordance with TS 825. Fuel and electricity consumption, population, number of residences and meteorological data were used as the basis for determining the heating/cooling loads. Using the data obtained, an important source data was obtained to investigate the possibility of using alternative energy sources for each region or even every province.

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Bu Makaleye Atıf Yap

SÖZEN, A., MENLİK, T., ANVARİ-MOGHADDAM, A. (2020). Mapping of Turkey’s District Heating/Cooling Requirements. Politeknik Dergisi, Cilt: 23 - Sayı: 3, 867–878. https://ajindex.com/articles/306261

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Kaynakça (10)

  1. Nakicenovic N., Grübler A., McDonald A. (Eds.). “Global Energy Perspectives”, Cambridge University. 299, (1998)
  2. Nusret AYDIN, Atilla BIYIKOĞLU, Determination of optimum insulation thickness based on heating load by life-cycle cost analysis for residential buildings in Turkey Journal of Polytechnic, 2019; 22(4): 901-911 3- Yaman, Ö., Şengül, Ö., Selçuk, H., Çalıkuş, O., Kara, İ., Erdem, Ş. and Özgür, D., “Binalarda ısı yalıtımı ve ısı yalıtım malzemeleri”, Türkiye Mühendislik Haberleri Dergisi, 487: 62-75, (2015)
  3. ÇŞB, “Isı yalıtım uygulama kılavuzu”, Ankara: Çevre ve Şehircilik Bakanlığı, 2-3, (2015)
  4. Coşkun C., Oktay Z., Ertürk M. “Konutların ısıtma sezonunda seçilen iç ortama sıcaklık parameteresinin enerji-maliyet-çevre açısından değerlendirilmesi ve bir uygulama örneği”, ΙΧ. Ulusal Tesisat Mühendisliği Kongresi, İzmir, 529-538, (2009)
  5. Durmayaz A., Kadıoğlu M., “Heating energy requirements and fuel consumptions in the biggest city centers of Turkey”, Energy Conversion and Management, 44(7): 1177-1192, (2003)
  6. Zhijian Liu, Di Wu1, Yuanwei Liu1, Zhonghe Han1, Liyong Lun2, Jun Gao3, Guangya Jin1 and Guoqing Cao Accuracy analyses and model comparison of machine learning adopted in building energy consumption prediction Energy Exploration & Exploitation 2019, Vol. 37(4) 1426–1451
  7. Nusret AYDIN, Atilla BIYIKOĞLU, Determination of optimum insulation thickness based on heating load by life-cycle cost analysis for residential buildings in Turkey, Journal of Polytechnic, 2019; 22(4): 901-911
  8. ZhunYua, FariborzHaghighat, Benjamin C.M.Fung, HiroshiYoshino, A decision tree method for building energy demand modeling, Energy and Buildings, Volume 42, Issue 10, October 2010, Pages 1637-1646 10- Luis Perez-Lombard, Jose Ortiz, Christine Pout, A review on buildings energy consumption information, Energy and Buildings 40 (2008) 394–398 11- Mustafa ERTÜRK, Zuhal OKTAY, Can ÇOŞKUN, Ali KEÇEBAŞ, Yusuf ÇAY, Ali DAŞDEMİR, Investigation of Energy and Emission Change for House Heating with Context of Global Warming in Düzce/Turkey, Journal of Polytechnic, 2019; 22 (1): 197-202
  9. TS 825 13- https://www.mgm.gov.tr/veridegerlendirme/gun-derece.aspx (02.03.2020) 14- https://biruni.tuik.gov.tr/medas/?kn=95&locale=tr (02.03.2020) 15- http://cografyaharita.com/turkiye-nufus-haritalari.html (02.03.2020
  10. Main report of the project entitled “Heating and cooling mapping”, Project no.: A105209, November 2019 17- EMRA, Turkish Annual Natural Gas Market