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Outdoor dry bulb heating design temperatures for Hungary

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  • Verbai, Zoltán
  • Kocsis, Imre
  • Kalmár, Ferenc

Abstract

Saving energy is one of the main priorities in the building sector. In countries with temperate climates, heating represents an important share of the total energy use of buildings. It is well known that central heating systems operate most of the time at partial capacity during the heating season. Moreover, the elements of the central heating system are usually over dimensioned. In this paper, the outdoor dry bulb design temperatures for heating are analysed across Hungary. Using outdoor dry bulb temperature data from the last 50 years, cumulative frequency graphs were built and new design values are proposed at 99% and 99.5% confidence levels. For two typical residential buildings, a single family house and a block of flats, the consequences of the higher outdoor design temperature were analysed from the point of view of investment costs, seasonal boiler efficiency and intermittent operation. The investment cost decreased by approximately 10% for the large buildings, the seasonal efficiency of traditional boilers increased by approximately 0.6%, the seasonal efficiency of condensing boilers decreased by approximately 1.2%, and the energy savings from intermittent operation decreased by 2–6%.

Suggested Citation

  • Verbai, Zoltán & Kocsis, Imre & Kalmár, Ferenc, 2015. "Outdoor dry bulb heating design temperatures for Hungary," Energy, Elsevier, vol. 93(P2), pages 1404-1412.
    • Handle: RePEc:eee:energy:v:93:y:2015:i:p2:p:1404-1412
    DOI: 10.1016/j.energy.2015.10.050
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    References listed on IDEAS

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    1. He, Jiang & Hoyano, Akira & Asawa, Takashi, 2009. "A numerical simulation tool for predicting the impact of outdoor thermal environment on building energy performance," Applied Energy, Elsevier, vol. 86(9), pages 1596-1605, September.
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    3. Bulut, Hüsamettin & Büyükalaca, Orhan & Yılmaz, Tuncay, 2003. "New outdoor heating design data for Turkey," Energy, Elsevier, vol. 28(12), pages 1133-1150.
    4. Verbai, Zoltán & Lakatos, Ákos & Kalmár, Ferenc, 2014. "Prediction of energy demand for heating of residential buildings using variable degree day," Energy, Elsevier, vol. 76(C), pages 780-787.
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    Cited by:

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    2. Szodrai, Ferenc & Lakatos, Ákos & Kalmár, Ferenc, 2016. "Analysis of the change of the specific heat loss coefficient of buildings resulted by the variation of the geometry and the moisture load," Energy, Elsevier, vol. 115(P1), pages 820-829.

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