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Determining new threshold temperatures for cooling and heating degree day index of different climatic zones of Iran

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  • Roshan, Gh.R.
  • Ghanghermeh, A.A.
  • Attia, S.

Abstract

Iran is a country with a variety of different climates. Determining the threshold temperatures suitable for providing thermal and climatic comfort is necessary and vital to its population well-being. This research presents new threshold temperatures in order to calculate the degree day index required for heating and cooling by taking advantage of the 12 stations that are representative of the diversity of Iran's climate. Using Olgyay diagram, different bioclimatic ranges of 12 weather stations and their frequencies were compiled, processes and analysed. Mean daily data of temperature and relative humidity were used for the period of 1950–2010. Based on the frequencies of temperature readings falling in Olgyay's diagram comfort zone, representive temperature thresholds were selected based on 40 to 60 percentiles or (P20), 25–75% percentile (P50) and the threshold of 10–90% percentile. The findings of this study shows that Mashhad with 29.6% and Anzali with 2.33% of frequencies, have experienced the maximum and minimum days of comfort. After analyzing various percentiles to determine the threshold temperatures, it was observed that there is a little difference among the stations for determining the minimum threshold for the comfort. Differences are more obvious in the maximum thresholds. In total, minimum base temperatures (HDD) belonged to Ardabil stations that were 20.50, 20.90 and 20 deg C for P20, P50 and P80 respectively. The maximum temperature for calculating CDD with values of (P20 = 25 °C; P50 = 26.25 °C; P80 = 27.50 °C) is dedicated to Zabol station. The findings present more reasonable thermal comfort thresholds that can be used by architects, engineers and policy makers to achieve, in turn, more energy efficient homes and high quality indoor and outdoor living environments.

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  • Roshan, Gh.R. & Ghanghermeh, A.A. & Attia, S., 2017. "Determining new threshold temperatures for cooling and heating degree day index of different climatic zones of Iran," Renewable Energy, Elsevier, vol. 101(C), pages 156-167.
  • Handle: RePEc:eee:renene:v:101:y:2017:i:c:p:156-167
    DOI: 10.1016/j.renene.2016.08.053
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    3. Morakinyo, Tobi Eniolu & Ren, Chao & Shi, Yuan & Lau, Kevin Ka-Lun & Tong, Hang-Wai & Choy, Chun-Wing & Ng, Edward, 2019. "Estimates of the impact of extreme heat events on cooling energy demand in Hong Kong," Renewable Energy, Elsevier, vol. 142(C), pages 73-84.
    4. Waqas Ahmed Mahar & Griet Verbeeck & Manoj Kumar Singh & Shady Attia, 2019. "An Investigation of Thermal Comfort of Houses in Dry and Semi-Arid Climates of Quetta, Pakistan," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
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    6. Martinez-Soto, Aner & Avendaño Vera, Constanza C. & Boso, Alex & Hofflinger, Alvaro & Shupler, Matthew, 2021. "Energy poverty influences urban outdoor air pollution levels during COVID-19 lockdown in south-central Chile," Energy Policy, Elsevier, vol. 158(C).

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