Ambient air temperature and degree-day data analysis of the period 2006–2017 for Cyprus

Abstract

Heating degree days (HDDs) and cooling degree days (CDDs) are widespread climatic indicators that depict the extremity and duration of ambient air temperature values. Over the years, they have been proven to be a useful tool for a reasonably accurate estimation of space heating and cooling requirements, as well as for the buildings’ energy performance rating and their compliance with legislative requirements. Reliable degree-days (DDs) data are a prerequisite for using the degree-day methods, so is determining the DDs values on a local and regional level, with respect to climate differentiations. The aim of this study is the calculation of HDDs and CDDs for Cyprus at various base temperatures, as such data cannot be found for Cyprus in the literature. The temperature data used were provided by the Cyprus Department of Meteorology, and these are the average daily dry-bulb ambient air temperature values as well as the daily maximum and minimum air temperature values for the period 2006–2017. Data were recorded at five meteorological stations at Paphos, Larnaca, Athalassa, Limassol and Prodromos. Monthly and annually HDDs and CDDs were calculated, for 11 base temperatures, as well as monthly and annually average temperatures for the period 2006–2017, by utilizing the DDs calculation technique of average daily temperature as proposed by ASHRAE. Additionally, an analysis of the variability and the trends of the HDDs and CDDs at the five meteorological stations during the 12-year period were performed. Finally, conclusions were drawn concerning the development of climate over the last 12 years in Cyprus.

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Abbreviations

\(\theta_{\text{bal}}\) :

Balance point temperature, °C

\(\theta_{\text{i}}\) :

Indoor design air temperature, °C

\(\theta_{\text{o}}\) :

Outdoor air temperature, °C

\(\theta_{\text{av,j}}\) :

Daily average air temperature, °C

\(\theta_{\text{o,max}}\) :

Daily maximum outdoor air temperature, °C

\(\theta_{\text{o,min}}\) :

Daily minimum outdoor air temperature, °C

\(H\) :

The total heat-loss coefficient of a building, WK−1

\(\dot{q}_{\text{gain}}\) :

Heat gains from occupants, lights, equipment and sun, W

ASHRAE:

American Society of Heating Refrigeration and Air-Conditioning Engineers

\({\text{DDs}}\) :

Degree days, °C-day

\({\text{CDD}}_{\text{mon}}\) :

Monthly cooling degree days, °C-day

\({\text{HDD}}_{\text{mon}}\) :

Monthly heating degree days, °C-day

HVAC:

Heating, ventilation and air conditioning

NZEBs:

Nearly zero energy buildings

UKMO:

United Kingdom Met Office

References

  1. 1.

    Eurostat. Data on final energy consumption in the EU. https://ec.europa.eu/eurostat/statistics-explained/index.php/Consumption_of_energy. Accessed Dec 2018.

  2. 2.

    European Commission. Energy and climate framework. 2030. https://ec.europa.eu/clima/policies/strategies/2030_en. Accessed Jan 2019.

  3. 3.

    Law 366/2014 on the requirements and features of nearly zero energy buildings. Official Gazette of the Republic of Cyprus. 4806/01.08.2014 (in Greek).

  4. 4.

    Presidential Decree 33/2015 on the regulation of the energy performance of buildings. Official Gazette of the Republic of Cyprus. 4849/06.02.2015 (in Greek).

  5. 5.

    Fischer RD, Flanigan LJ, Talbert SG, Jaffe D. Degree-days method for simplified energy analysis. ASHRAE Trans. 1982;88(2):522–71.

    Google Scholar 

  6. 6.

    ASHRAE. Handbook fundamentals. Atlanta: American Society of Heating, Refrigerating and Air-Conditioning Engineers Inc.; 1985.

    Google Scholar 

  7. 7.

    Claridge DE, Bida M, Krarti M, Jeon HS, Hamzawi E, Zwack W, Weiss I. A validation study of variable-base degree-day heating calculations. ASHRAE Trans. 1987;93(2):57–89.

    Google Scholar 

  8. 8.

    Claridge DE, Krarti M, Bida M. A validation study of variable-base degree-day cooling calculations. ASHRAE Trans. 1987;93(2):90–104.

    Google Scholar 

  9. 9.

    Kreider JF, Rabl A. Heating and cooling of buildings. New York: Mc-Graw Hill; 1994.

    Google Scholar 

  10. 10.

    ASHRAE. Handbook fundamentals. Atlanta: American Society of Heating, Refrigerating and Air-Conditioning Engineers Inc.; 1993.

    Google Scholar 

  11. 11.

    Knebel D. Simplified energy analysis using the modified bin method. Atlanta: American Society of Heating, Refrigerating and Air-Conditioning Engineers Inc.; 1983.

    Google Scholar 

  12. 12.

    Marx Ayres J, Stamber E. Historical development of building energy calculations. ASHRAE J. 1995;37(2):47–53.

    Google Scholar 

  13. 13.

    Busch RD. Methods of energy analysis. In: Hunn BD, editor. Fundamentals of building energy dynamics. Cambridge: The MIT Press; 1996. p. 219–338.

    Google Scholar 

  14. 14.

    Winkelmann F, Birdsall B, Buhl W. DOE-2 supplement: version 2.1e. LBL-34947. Berkeley: Lawrence Berkeley Lab; 1993.

    Book  Google Scholar 

  15. 15.

    Crawley D, Lawrie L. EnergyPlus: creating a new-generation building energy simulation program. Energy Build. 2001;33(3):19–31.

    Google Scholar 

  16. 16.

    Klein SA, Beckman WA, Mitchell JW, Duffie JA, Duffie NA, Freeman TL, et al. TRNSYS 16, transient system simulation program. Madison: University of Wisconsin; 2006.

    Google Scholar 

  17. 17.

    Clarke JA. Energy simulation in building design. Oxford: Butterworth-Heinemann; 2001.

    Google Scholar 

  18. 18.

    ESRU. The ESP-r system for building energy simulation. User guide version 10 series. Glasgow: University of Strathclyde; 2002.

    Google Scholar 

  19. 19.

    Crawley DB, Hand JW, Kummert M, Brent T, Griffith BT. Contrasting the capabilities of building energy performance simulation programs. Build Environ. 2008;43:661–73.

    Article  Google Scholar 

  20. 20.

    Cho SH, Kim HJ, Zaheeruddin M. Revised heating degree days due to global warming for 15 major cities of South Korea. Build Serv Eng Res Technol. 2011;32(4):377–83.

    Article  Google Scholar 

  21. 21.

    Papakostas K, Kyriakis N. Heating and cooling degree-hours for Athens and Thessaloniki, Greece. Renew Energy. 2005;30:1873–80.

    Article  Google Scholar 

  22. 22.

    Meng Q, Mourshed M. Degree-day based non-domestic building energy analytics and modelling should use building and type specific base temperatures. Energy Build. 2017;155:260–8.

    Article  Google Scholar 

  23. 23.

    Büyükalaca O, Bulut H, Yilmaz T. Analysis of variable-base heating and cooling degree-days for Turkey. Appl Energy. 2001;69:269–83.

    Article  Google Scholar 

  24. 24.

    Bakirci K, Ozyurt O, Karagoz S, Erdogan S. Variable-base degree-day analysis for provinces of the Eastern Anatolia in Turkey. Energy Explor Exploit. 2008;26(2):111–32.

    Article  Google Scholar 

  25. 25.

    Al-Hadhrami LM. Comprehensive review of cooling and heating degree days characteristics over Kingdom of Saudi Arabia. Renew Sustain Energy Rev. 2013;27:305–14.

    Article  Google Scholar 

  26. 26.

    Elizbarashvilia M, Chartolanib G, Khardzianic T. Variations and trends of heating and cooling degree-days in Georgia for 1961–1990 year period. Ann Agrar Sci. 2018;16:152–9.

    Article  Google Scholar 

  27. 27.

    Kodah ZH, El-Shaarawi MAI. Weather data in Jordan for conventional and solar HVAC systems. ASHRAE Trans. 1990;96(1):124–31.

    Google Scholar 

  28. 28.

    Papakostas KT, Michopoulos A, Mavromatis T, Kyriakis N. Changes of temperature data for energy studies over time and their impact on energy consumption and CO2 emissions. The case of Athens and Thessaloniki—Greece. Int J Energy Environ. 2013;4(1):59–72.

    Google Scholar 

  29. 29.

    Matzarakis A, Balafoutis C. Heating degree-days over Greece as an index of energy consumption. Int J Climatol. 2004;24:1817–28.

    Article  Google Scholar 

  30. 30.

    Papakostas K, Tsilingiridis G, Kyriakis N. Heating Degree-days for 50 Greek cities. Tech Chron Sci J Tech Chamb Greece. 2005;IV(1–2):51–64 (in Greek).

    Google Scholar 

  31. 31.

    Papakostas K, Tsilingiridis G, Kyriakis N. Cooling degree-days for 50 Greek cities. Tech Chron Sci J Tech Chamb Greece. 2010;1:161–4 (in Greek).

    Google Scholar 

  32. 32.

    De Rosa M, Bianco V, Scarpa F, Tagliafico LA. Historical trends and current state of heating and cooling degree days in Italy. Energy Convers Manag. 2015;90:323–35.

    Article  Google Scholar 

  33. 33.

    Mehrabi M, Kaabi-Nejadian A, Khalaji Asadi M. Providing a heating degree days (HDDs) Atlas across Iran Entire Zones. 2011. In: World renewable energy congress WREC 2011. Linköping electronic conference proceedings (3). Energy end-use efficiency issues. Linköping, Sweden. p. 1039–45.

  34. 34.

    Roshan GhR, Ghanghermeh AA, Attia S. Determining new threshold temperatures for cooling and heating degree day index of different climatic zones of Iran. Renew Energy. 2017;101:156–67.

    Article  Google Scholar 

  35. 35.

    Idchabani R, Garoum M, Khaldoun A. Analysis and mapping of the heating and cooling degree-days for Morocco at variable base temperatures. Int J Ambient Energy. 2015;36(4):190–8.

    Article  Google Scholar 

  36. 36.

    Ortiz Beviá MJ, Sánchez-López G, Alvarez-Garcìa FJ, Ruiz de Elvira A. Evolution of heating and cooling degree-days in Spain: trends and interannual variability. Glob Planet Change. 2012;92–93:236–47.

    Article  Google Scholar 

  37. 37.

    Badescu V, Zamfir E. Degree-days, degree-hours and ambient temperature bin data from monthly-average temperatures (Romania). Energy Convers Manag. 1999;40(8):885–900.

    Article  Google Scholar 

  38. 38.

    Borah P, Singh MK, Mahapatra S. Estimation of degree-days for different climatic zones of North-East India. Sustain Cities Soc. 2015;14:70–81.

    Article  Google Scholar 

  39. 39.

    Theophilou MK, Serghides D. Estimating the characteristics of the Urban Heat Island Effect in Nicosia, Cyprus, using multiyear urban and rural climatic data and analysis. Energy Build. 2015;108:137–44.

    Article  Google Scholar 

  40. 40.

    Meteorological reports. In: Cyprus Department of Meteorology. http://www.moa.gov.cy. Accessed Oct 2018.

  41. 41.

    CIBSE. Degree-days: theory and application TM41. London: Chartered Institution of Building Services Engineer; 2006.

    Google Scholar 

  42. 42.

    Papakostas K, Mavromatis T, Kyriakis N. Impact of the ambient temperature rise on the energy consumption for heating and cooling in residential buildings of Greece. Renew Energy. 2010;35:1376–9.

    Article  Google Scholar 

  43. 43.

    Christenson M, Manz H, Gyalistras D. Climate warming impact on degree-days and building energy demand in Switzerland. Energy Convers Manag. 2006;47(6):671–86.

    Article  Google Scholar 

  44. 44.

    Mourshed M. Relationship between annual mean temperature and degree-days. Energy Build. 2012;54:418–25.

    Article  Google Scholar 

  45. 45.

    Coskun C. A novel approach to degree-hour calculation: indoor and outdoor reference temperature based degree-hour calculation. Energy. 2010;35:2455–60.

    Article  Google Scholar 

  46. 46.

    ASHRAE. Handbook fundamentals. Atlanta: American Society of Heating Refrigerating and Air-Conditioning Engineers; 2009.

    Google Scholar 

  47. 47.

    Schoenau GJ, Kehrig RA. A method for calculating degree-days to any base temperature. Energy Build. 1990;14:299–302.

    Article  Google Scholar 

  48. 48.

    Erbs D, Beckman W, Klein S. Estimation of degree-days and ambient temperature bin data from monthly-average temperatures. ASHRAE J. 1983;25(6):60–5.

    Google Scholar 

  49. 49.

    Kottek M, Grieser J, Beck C, Rudolf B, Rubel F. World Map of the Köppen-Geiger climate classification updated. Meteorol Z. 2006;15(3):259–63.

    Article  Google Scholar 

  50. 50.

    The climate of Cyprus. In: Cyprus Department of Meteorology. http://www.moa.gov.cy/moa/ms/ms.nsf/DMLcyclimate_en/DMLcyclimate_en?OpenDocument. Accessed Oct 2018.

  51. 51.

    Pavlou S. Processing of temperature data for the period 2006–2017 for Cyprus—calculation of heating and cooling degree-days. Diploma Thesis, School of Mechanical Engineering, Aristotle University of Thessaloniki; 2018 (in Greek).

  52. 52.

    Panayiotou GP, Kalogirou SA, Florides GA, Maxoulis CN, Papadopoulos AM, Neophytou M, Fokaides P, Georgiou G, Symeou A, Georgakis G. The characteristics and the energy behaviour of the residential buildings stock of Cyprus in view of Directive 2002/91/EC. Energy Build. 2010;42(11):2083–9.

    Article  Google Scholar 

  53. 53.

    Fokaides P, Maxoulis CN, Panayiotou GP, Neophytou M, Kalogirou SA. Comparison between measured and calculated energy performance for dwellings in a summer dominant environment. Energy Build. 2011;43(11):3099–105.

    Article  Google Scholar 

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Correspondence to Konstantinos T. Papakostas.

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Papakostas, K.T., Pavlou, S. & Papadopoulos, A.M. Ambient air temperature and degree-day data analysis of the period 2006–2017 for Cyprus. J Therm Anal Calorim 141, 435–445 (2020). https://doi.org/10.1007/s10973-019-09021-x

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Keywords

  • Heating degree days
  • Cooling degree days
  • Steady-state energy methods
  • Energy demands in buildings
  • Temperature data
  • Cyprus