بازنگری در تعیین دمای پایه آسایش حرارتی مناطق اقلیمی متفاوت ایران به منظور محاسبه شاخص درجه- روز مورد نیاز سرمایشی و گرمایشی

نوع مقاله: مقاله پژوهشی

نویسندگان

1 استادیار گروه جغرافیای دانشگاه گلستان

2 استادیار اقلیم شناسی گروه جغرافیای دانشگاه گلستان، گرگان

10.22131/sepehr.2018.31481

چکیده

یکی از شاخصهای کاربردی در تعیین انرژی مورد نیاز جهت تأمین آسایش اقلیمی شاخص درجه-روز میباشد.در ایران غالباً دمای 18 درجه سلسیوس جهت محاسبه HDD و 24 درجه را به منظور محاسبه CDD استفاده میکنند. حال آنکه تنوع اقلیمی و جغرافیایی ایران باعث میشود تا دماهای مبنای جدیدی جهت محاسبه HDD و CDD پیشنهاد گردد. در پژوهش حاضر جهت تعیین آستانههای دمایی جدید به منظور تأمین انرژی مورد نیاز برای شرایط آسایش اقلیمی از دیاگرام اولگی استفاده شده است.از آنجایی که کشور ایران دارای تنوع اقلیمی مختلفی میباشد، بنابراین 10 ایستگاه که معرف شرایط متفاوت آب و هوایی ایران میباشند انتخاب و مورد واکاوی قرار گرفتند. همچنین قابل توجه میباشد که در این مطالعه دیاگرام اولگی به 12 طبقه زیست اقلیمی تقسیمگردید. اما مهمترین بخش این مطالعه مربوط به تعیین دماهای پایه جدید برای محاسبه شاخصهای HDD و CDD ایستگاههای مطالعاتی است. پس بر مبنای روزهای واقع در منطقهآسایش سه محدوده در قالب آستانه صدکهای 40 تا 60 براساس نماینده 20 درصد مرکزی دادهها، آستانه صدکهای 25 تا 75 درصد به عنوان 50 درصد غالب مرکزی و در نهایت آستانه صدکهای 10 تا 90 به عنوان 80 درصد مرکزی دادههای مورد مطالعه انتخاب و این محدودهها به نام آستانههای آسایش دمایی جدید به منظور تعیین دماهای پایه برای محاسبه HDD و CDDمعرفی گردیدند. بر اساس هدف اصلی این تحقیق آستانههای آسایش دمایی جدیدی برای تمام ایستگاههای مطالعاتی پیشنهاد گردید که یافتهها نشان دادند با توجه به صدکهای مختلف، حداقل دمای پایه جهت محاسبه HDD متعلق به ایستگاه بابلسر و حداکثر دمای پایه به منظور محاسبه CDD به ایستگاه شیراز اختصاص یافته است.

کلیدواژه‌ها


عنوان مقاله [English]

The review of determining the thermal comfort base temperature in different climatic regions in order to calculate the required Degree-Day index for cooling and heating

نویسندگان [English]

  • abdolazim ghanghermeh 1
  • Gholamreza Roshan 1
  • smaeil shahkooeei 2
1 Assistant Professor in the Department of Geography of the University of Golestan
2 Assistant Professor of Golestan University
چکیده [English]

Extended Abstract
Introduction
One of the practical indices in determining required energy for providing climatic comfort is the degree day index. The total mean deviation of daily temperature of human comfort temperature (threshold temperature) is called degree day temperature that provides many applications in estimating required energy in cooling and heating section. It is notable that various studies around the world have used different temperatures to calculate HDD and CDD considering their climatic and geographical location. In Iran, 18 degrees centigrade is used for HDD and 24 degrees centigrade for CDD calculation, while climatic and geographical diversity of Iran causes new base temperatures to be recommended for HDD and CDD calculations. The present study plans to present a proper base temperature for calculating HDD and CDD with regard to specific characteristics of each city's climate.
 
Materials and Method
In the present study to determine the new threshold temperatures in order to provide the energy required for climatic comfort conditions, Olgyay diagram is used. Therefore, the average daily temperature and relative humidity data have been used to draw bioclimatic conditions. Since Iran has different climatic diversity, 10 stations that represent different climatic conditions of Iran were selected and analyzed (Figure 1). It should be mentioned that the duration of time series used includes the statistical period of 1950 to 2010 and these data was collected from Iran`s Meteorological Organization. Since hand drawing of each of the events on Olgyay diagram is cumbersome and time consuming considering the wide range of studied data, therefore, Olgyay diagram was digitalized to receive the output for each station quickly and easily. It is also noteworthy that in this study, Olgyay diagram is divided into 12 bioclimatic classes and the frequency of occurrence of each of the bioclimatic classes for each station in Table (1) has been reported. However, the most important section of this study is related to the determination of new base temperatures for calculating HDD and CDD indices of observational stations. Therefore, based on the days in the comfort zone, three regions in the form of percentile thresholds of 40 to 60 were selected as the representative of the central 20 percent of the data, percentile threshold of 25 to 75 percent as the representative of the dominant central 50% of the data, and finally percentile threshold of 10 to 90 as the central 80 % of the data were selected, and these domains were introduced as new thermal comfort for determining the base temperatures for HDD and CDD calculation (equation 1):
 
 
Equation 1:
 
In equation 1, LP is an equivalent for the threshold rank of the percentiles 10, 25, 40, 60, 75 and 90 percent, n is an equivalent for the number of samples and s is an equivalent for percentiles.
In the final step, after determining the base temperature, required cooling day-degree values (Equation 2) and heating (Equation 3) are calculated as follows:
 
Equation 2:
 
 
Equation 3:
 
 
In formula (2) and (3), cooling requirement is calculated by CDD and heating requirement is calculated by HDD for a given period of N days. In these formulae, T is the average daily temperature and è is the base temperature that with regard to the threshold of different percentiles, different numbers are proposed for each station.
 
Findings
Findings of this section showed that Shiraz and Esfahan have experienced the most ideal conditions of comfort with 35.22 and 33.22 percent of frequency of days in the comfort zone respectively and Babolsar with 83.2 percent of frequency has had the lowest percentage of days with thermal comfort. Among the observational stations, the most frequent occurrence experience of frost and freezing belongs to Sanandaj, and for the stations in Makoo, Shiraz, Tehran and Tabas, the most important preventive factor for the occurrence of comfort conditions is frost and freezing. But, Jask and Bushehr have had the most experience of the days with heat stroke risks and this factor is the most important preventive factor for comfort in these two stations. Although extreme dryness is the most important preventive factor for comfort in Ahvaz, but in Rasht and Babolsar, excess moisture is the most important factor of the lack of comfort. The results indicated that Olgyay diagram has perfectly shown the climatic and bioclimatic differences of various regions.  For example, for the coastal cities of the Persian Gulf and Oman Sea, the type of data distribution on the diagram showed that climatic and bioclimatic characteristics of the two cities of Bushehr and Jask differ from Ahwaz, so that the dominant climatic regime of Bushehr and Jask due to the high humidity experience, are affected by the water zone of the Persian Gulf and Oman Sea, but Ahwaz is affected both by the water body of the Persian Gulf and hot and dry systems that pass directly through the Saudi Arabia.
 
Conclusion
Based on the main objective of this research, new thermal comfort thresholds for all study stations were proposed and the results showed that according to various percentiles, minimum base temperature for calculating HDD belonged to Babolsar station and maximum base temperature for calculating CDD belonged to Shiraz station. It is also worth noting that the sensitivity of the proposed method is such, that minimum differences in the domain and base temperature of thermal comfort are visible even for the stations located in a nearly similar geographical area, and this could indicate the validity of the proposed method. Finally, monthly and annual long-term average of HDD and CDD indices were calculated for the studied cities using proposed thresholds and base temperatures. The results of this section showed that in most observational stations, the months of January, December and February have had the maximum HDD requirements and the maximum CDD requirement was calculated for the months of July and August. The research findings reveal that maximum average annual HDD and CDD requirements belong to Makoo and Jask respectively. The results of this study point to the fact that the need for heating energy has been higher than the need for cooling energy for most of the studied cities. Therefore, the findings show that, based on the proposed method, which is derived from the climatic characteristics and experimental data of each station, a more logical thermal comfort thresholds for the studied stations are presented.

کلیدواژه‌ها [English]

  • basic temperature
  • comfort bioclimatology
  • Olgyay diagram
  • degree day index
  • percentiles
  • Iran

1. خلیلی، علی. (1378). تحلیل سه بعدی درجه - روزهای گرمایش و سرمایش در گستره ایران. تحقیقات جغرافیایی.  پاییز و زمستان 1378. شماره 54 و 55 .

2. رازجویان، محمود، (1376)، آسایش با استفاده از معماری همساز با اقلیم، انتشارات دانشگاه تهران، صص 285.

3. ریاضی، جمشید. (1356). اقلیم و آسایش در ساختمان. مرکز تحقیقات ساختمان و مسکن. تهران. ایران

4. کسمائی، مرتضی.(1378)، اقلیم و معماری، انتشارات بازتاب، تهران، صص 230.

5. Al- Azri, N. A., Zurigatb, H.Y., Al-Rawahia, N., 2012, Development of Bioclimatic Chart for Passive Building Design in Muscat-Oman, International Conference on Renewable Energies and Power Quality (ICREPQ’12), Santiago de Compostela (Spain), 28th to 30th March, 2012.

6. Al- Azri, N. A., Zurigatb, H.Y., Al-Rawahia, N., 2013, Selection and Assessment of Passive Cooling Techniques for Residential Buildings in Oman Using a Bioclimatic Approach, The Journal of Engineering research,3(11)-56-72.

7. Al-Hadhrami, L.M., 2013, Comprehensive review of cooling and heating degree days characteristics over Kingdom of Saudi Arabia, Renewable and Sustainable Energy Reviews, 27:305-314.

8. Amengual, A., Homar, V., Romero, R., Ramis, C., Alonso, S., 2014, Projections for the 21st century of the climate potential for beach-based tourism in the Mediterranean, International Journal of Climatology,  34(13):3481–3498.

9. Armstrong, B.K.,1994, Stratospheric ozone and health. Int J Epidemiol 23: 873–885.

10. Blazejczyk, K.,  Epstein, Y., Jendritzky, G., Staiger, H., Tinz, B.,2012, Comparison of UTCI to selected thermal indices, Int J Biometeorol (2012) 56:515–535.

11. Cvitan, L., Jurković, R.S., 2015, Secular trends in monthly heating and cooling demands in Croatia, Theoretical and Applied Climatology, DOI 10.1007/s00704-015-1534-7.

12. Dombayc, Ö., 2009,  Degree-days maps of Turkey for various base temperatures, Energy, 34(11):1807–1812.

13. Ghanghermeh, A.A., Roshan, Gh.R.,  Orosa, A.J.,  Calvo-Rolle, J.L., Costa,  A. M., 2013, New Climatic Indicators for Improving Urban Sprawl: A Case Study of Tehran City, Entropy, 15: 999-1013.

14. Givoni, B., 1976, Man, climate and Architecture, 2nd Edition, Applied science publishers, London.

15. Gosling. S.n., Bryce, E.K., Grady Dixon, P., Gabriel, K. M. A., Gosling, E.Y., Hanes, J. M., Hondula, D. M., Liang, L., Lean, P.A., Muthers, S., Nascimento, S.T., Petralli, M., Vanos, J.K., Wanka, E.R., Mahillon, V., A.,2014,  glossary for biometeorology, Int J Biometeorol, 58:277–308.

16. Jeong, J.H., Kim, D. H., 2013, An Outdoor Comfort Index Framework Based on GIS for Supporting Optimal Environment, nternational Journal of Software Engineering and Its Applications, 7(6):211-220.

17. Jiang, F., Li, X., Wei, B., Hu, R., Li, Z., 2009, Observed trends of heating and cooling degree-days in Xinjiang Province, China, Theor Appl Climatol, 97:349–360.

18. Kasmaii, M., 1993, Climate and Architecture, Tehran Baztab Press. p. 230.

19. Khalili, A., 1999, Three Dimensional Analysis of Heating and Cooling Degree Days in Iran, Geographical Researches, 54-55: 7-18 (in Persian).

20. Lam, J.C., Tsang, C.L., Yang, L., Li, D.H.W., 2005, Weather data analysis and design implications for different climatic zones in China. Build Environ 40:277–296.

21. Matzarakis, A., Rutz, F., 2007. RayMan: a tool for tourism and applied climatology. Dev. Tourism Climatol. 9:129–138.

22. McArthur, A.J., 1987, Thermal interaction between animal and microclimate: a comprehensive model. J Theor Biol, 126:203–238.

23. Mehrabi, M.,  Kaabi-Nejadian,A.,  Khalaji Asadi, M.,2011, Providing a Heating Degree Days (HDDs) Atlas across Iran Entire Zones, World renewable energy congress 2011-Sweden, 8-13 may 2011, Linkoping .

24. Moustris, K. P., Nastos, P. T., Bartzokas, A. Larissi, I. K., Zacharia, P. T., Paliatsos, A. G., 2014, Energy consumption based on heating/cooling degree days within the urban environment of Athens, Greece ,Theor Appl Climatol, 10.1007/s00704-014-1308-7.

25. Olgyay, V., 1967, Bioclimatic Orientation Method for Buildings , Int. J. Biometeor. 11(2):163-174.

26. Orosa, A.J.,  Costa, A.M., Fernández, A.R., Roshan, Gh.R.,2014, Effect of climate change on outdoor thermal comfort in humid climates, J. Environ. Health. Sci. Eng. 12(46):1-9.

27. Papakostas, K.,  Kyriakis, N., 2005, Heating and cooling degree-hours for Athens and Thessaloniki, Greece Renewable Energy,12(9) :1873-1880.

28. Papakostas, K., Mavromatis, T., Kyriakis, N., 2010, Impact of the ambient temperature rise on the energy consumption for heating and cooling in residential buildings of Greece, Renewable Energy, 12(9): 1376-1379.

29. Petralli, M., Massetti, L., Orlandini, S., 2011, Five years of thermal intra-urban monitoring in Florence (Italy) and application of climatological indices , Theor Appl Climatol, 104:349–356.

30. Pourvahidi, P., Ozdeniz, M. B., 2013, Bioclimatic analysis of Iranian climate for energy conservation in architecture, Scientific Research and Essays, 8(1): 6-16.

31. Razjooyan, M., 1988, Comfort with Using Climate Adaptable Architecture, Tehran University, p. 285.

32. Rellihan, S.S., 2003, Master of Architecture, design with climate: A retreat for vieques, Puerto Rico, Thesis Master of Architecture, University of Maryland .

33. Rehman, S., Al-Hadhrami, L.M., Khan, S., 2011, Annual, and seasonal trends of cooling, heating,and industrial degree-days in coastal regions of Saudi Arabia, Theor Appl Climatol, 104:479–488 .

34. Riazi, J., 1977, Climate and Comfort in Building, Center of Houses and Building Researches. Tehran, Iran.

35. Roshan, Gh.R., Mirkatouli, G., Shakoor, A., Mohammad-Nejad, V., 2010, Studying Wind Chill Index as a Climatic Index Effective on the Health of Athletes and Tourists Interested in Winter Sports, Asian J Sports Med., 1(2): 108–116.

36. Roshan, Gh.R. Orosa, J.A, Nasrabadi, T., 2012, Simulation of climate change impact on energy consumption in buildings, case study of Iran, Energy Policy, 49:731-739.

37. Saussez, S., Michel, O., 2006, High incidence of sensitization to ornamental plants in allergic rhinitis, Allergy 61:1138–1140.

38. Simelton, E., Fraser, E.D.G., Termansen, M., Benton, T.G., Gosling, S.N., South, A., Arnell, N.W., Challinor, A.J., Dougill, A.J., Forster, P.M.,2012, The socioeconomics of food crop production and climate change vulnerability:a global scale quantitative analysis of how grain crops are sensitive to drought. Food Security, 4:163–179.

39. Sivak, M., 2009, Potential energy demand for cooling in the 50 largest metropolitan areas of the world: Implications for developing countries, Energy Policy, 37:1382–1384.

40. Taghavi, F., 2010, Linkage between Climate Change and Extreme Events in Iran, Journal of the Earth & Space Physics. 36(2):33-43.

41. Watson, K. labs, K.,1983, Climate Design : Energy efficient building principles and practices, MC Grow-Hill.

42. W.M.O., 1991, International Meteorological Vocabulary, W.M.O, No. 182, TP 91,  P.116.

43. Yildiz, Z., Sosaoglu, B., 2007, Spatial distributions of heating, cooling, and industrial degree-days in Turkey,Theor. Appl. Climatol. 90: 249–261.

44.Zachariadis, T., ,2010, Forecast of electricity consumption in Cyprus up to the year 2030:The potential impact of climate change , Energy Policy, 38: 744–750.

45. Zekai, S. EN., Kadiog Lu, LU, MI., 1998, Heating degree-days for arid regions, Energy, 23(12):1089–1094.