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Modeling the impact of climate change on energy consumption and carbon dioxide emissions of buildings in Iran

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Abstract

In this study, it has been attempted to quantify model climate change effects of the coming decades on energy demand and carbon dioxide emissions of a dominant building brigade under hot and humid climates on the southern coast of Iran, based on three stations of Bushehr, Bandar Abbas and Chabahar. In this research, the Meteonorm and DesignBuilder software have been used for climate and thermal simulation of building. One of the results of this study is the increase in temperature and relative humidity for the coming decades for all three study stations. The findings of this study showed that the average annual temperature for the 2060s compared to the present decade, will increase by 2.82 °C for Bandar Abbas, by 2.79 °C for Bushehr and for Chabahar it will reach 2.14 °C. This increase in temperature has led to an increase in discomfort warmer days and a decrease in discomfort cold days. But given the climatic type of the area, a decrease in the heating energy demand for the coming decades will not have a significant effect on the pattern of energy consumption inside buildings. Because for two stations of Bandar Abbas and Chabahar, more than 95% of the energy demand for the 2060s is for cooling energy demand, which is about 80% of energy for Bushehr. In total, due to the increased demand for cooling energy in the coming decades, this will further increase carbon dioxide emissions, which is higher in Chabahar than in other study stations.

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Notes

  1. Building Energy Simulation Test

References

  1. IPCC. Summary for policymakers. In: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K.B., Tignor, M., Miller, H.L., editors. Climate Change, 2007a, the Physical Science Basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press.

  2. Luo C, Wu D. Environment and economic risk: an analysis of carbon emission market and portfolio management. Environ Res. 2016;149:297–301.

    Article  CAS  Google Scholar 

  3. Iran Power Industry. D development: deputy of research and human resources. Tavanir Mother's Company: Publisher; 2016.

    Google Scholar 

  4. Mohammad S. Study of thermal behavior of common materials in the construction of walls; journal of fine arts. Architecture and Urban Development. 2013;18(1):70.

    Google Scholar 

  5. Iran Energy Balance, 2010. Iran Central Bank.

  6. UNDP (United Nations development program), 2010. Department of environment. Iran second national communication to United Nations framework convention on climate change (UNFCCC). National climate office, department of environment. Tehran.

  7. Moshiri S, Atabi F, Panjeshahi MH, Lechtenboehmer S. Long run energy demand in Iran: a scenario analysis. Int J Energy Sect Manag. 2012;6(1):120–44.

    Article  Google Scholar 

  8. Jos, G.J., Olivier, (PBL), Greet Janssens-Maenhout (EC-JRC), Marilena Muntean (EC-JRC), Jeroen A.H.W. Peters (PBL), 2016. TRENDS IN GLOBAL CO2 EMISSIONS 2016 report, PBL Netherlands environmental assessment Agency European Commission, Joint Research Centre (EC-JRC).

  9. Dhorde AG, Korade MS, Dhorde AA. Spatial distribution of temperature trends and extremes over Maharashtra and Karnataka states of India. Theor Appl Climatol. 2017;130:191–204. https://doi.org/10.1007/s00704-016-1876-9.

    Article  Google Scholar 

  10. Shifteh SB, Ezani A, Tabari H. Spatiotemporal trends and change point of precipitation in Iran. Atmos Res. 2012;113:1–12.

    Article  Google Scholar 

  11. Tabari H, Hosseinzadeh TP. Temporal variability of precipitation over Iran: 1966–2005. J Hydrol. 2011b;396(3–4):313–20.

    Article  Google Scholar 

  12. Tabari H, Hosseinzadeh TP. Recent trends of mean maximum and minimum air temperatures in the western half of Iran. Meteor Atmos Phys. 2011a;111:121–31.

    Article  Google Scholar 

  13. Tabari H, Hosseinzadeh TP, Ezani A, Shifteh SB. Shift changes and monotonic trends in autocorrelated temperature series over Iran. Theor Appl Climatol. 2011a;109:95–108.

    Article  Google Scholar 

  14. Tabari H, Shifteh SB, Rezaeian ZM. Testing for long-term trends in climatic variables in Iran. Atmos Res. 2011b;100:132–40.

    Article  Google Scholar 

  15. Zarenistanak M, Dhorde A, Kripalani RH. Temperature analysis over Southwest Iran: trends and projections. Theor Appl Climatol. 2014a;116:103–17.

    Article  Google Scholar 

  16. Zarenistanak M, Dhorde A, Kripalani RH. Trend analysis and change point detection of annual and seasonal precipitation and temperature series over Southwest Iran. J Earth Syst Sci. 2014b;123:281–95.

    Article  Google Scholar 

  17. Roshan, G.R., Grab, S.W., 2012. Regional climate change scenarios and their impacts on water requirements for wheat production in Iran. Int .J. Plant. Prod. 6(2), 239–266.

  18. Roshan GR, Khoshakh LF, Azizi GH, Mohammadi H. Simulation of temperature changes in Iran under the atmosphere carbon dioxide duplication condition. Iran. J. Environ. Health. Sci. Eng. 2011;8:139–52.

    Google Scholar 

  19. Paris Agreement, 2017. Framework convention on climate change. United Nations. http://unfccc.int/paris_agreement/items/9485.php

  20. Stavins, R.N., Stowe, R.C., (eds), 2016. The Paris agreement and beyond: International climate change policy post-2020. Cambridge, Massachusetts: Harvard Project on Climate Agreements, Belfer Center, 1–114. http://www.belfercenter.org/publication/parisagreement-and-beyond-international-climate change-policy-post-2020. .

  21. IPCC, 2013, Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change [stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.)]. Cambridge University press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp.

  22. Mehr News Agency., 2016. Details of the agreement Paris / Iran are committed to the limitation of industrial development, news ID: 3591470 - Wednesday, April 18, 2016, Tehran. Iran.

  23. IPCC. Summary for policymakers. In: Metz, B., Davidson, O., Bosch, P., Dave, R., Meyer, L., editors. Climate change, 2007b. Mitigation of climate change. Contribution of working group III to the fourth assessment report of the intergovernmental panel on climate change. Cambridge. United Kingdom and New York. NY, USA: Cambridge University Press.

  24. Luers, A.L., Moser, S.C., 2006. Preparing for the impacts of climate change in California: opportunities and constraints for adaptation. California Climate Change Center.

  25. Roaf S, Crichton D, Nicol F. Adapting buildings and cities for climate change: a 21st century survival guide. Oxford: Architectural Press; 2004.

    Google Scholar 

  26. Kwok AG, Rajkovich NB. Addressing climate change in comfort standards. Build Environ. 2010;45:18–22.

    Article  Google Scholar 

  27. Hidalgo H, Alfaro E. Skill of CMIP5 climate models in reproducing 20th century basic climate features in Central America. Int J Climatol. 2014. https://doi.org/10.1002/joc.4216.

  28. Fowler HJ, Blenkinsop S, Tebaldi C. Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. Int J Climatol. 2007;27(12):78–1547.

    Google Scholar 

  29. Ghanghermeh AA, Roshan GR, Nasrabadi T. Synoptic approach to forecasting and statistical downscaling of climate parameters (case study: golestan province). Pollution. 2017;3(3):487–504.

    Google Scholar 

  30. Roshan GR, Ghanghermeh A, Orosa JA. Thermal comfort and forecast of energy consumption in Northwest Iran. Arab J Geosci Doi. 2013;7:3657–74. https://doi.org/10.1007/s12517-013-0973-7.

    Article  Google Scholar 

  31. Jentsch MF, Bahaj AS, James PAB. Climate change future proofing of buildings a generation and assessment of building simulation weather files. Energy and Buildings. 2008;40(12):2148–68.

    Article  Google Scholar 

  32. Robert A, Kummert M. Designing net-zero energy buildings for the future climate, not for the past. Build Environ. 2012;55:150–8.

    Article  Google Scholar 

  33. Gizaw MS, Gan TY. Possible impact of climate change on future extreme precipitation of the old man. Bow and Red Deer River Basins of Alberta. 2016;36(1):208–24.

    Google Scholar 

  34. Raju, P. V. S., Bhatla, R., Almazrouia, M., Assiri, M., 2015. Performance of convection schemes on the simulation of summer monsoon features over the South Asia CORDEX domain using RegCM-4.3. Int. J. Climatol, 1-12. https://doi.org/10.1002/joc.4317.

  35. Roshan GR, Masoompour Samakosh J, Jose A, Orosa JA. The impacts of drying of Lake Urmia on changes of degree day index of the surrounding cities by meteorological modelling. Environ Earth Sci. 2016;75:1387.

    Article  Google Scholar 

  36. Tisseuil C, Roshan GR, Nasrabadi T, Asadpour GA. Statistical modeling of future Lake level under climatic conditions: case study of Urmia lake (Iran). International. J Environ Res. 2013;7(1):69–80.

    Google Scholar 

  37. Nakicenovic, N., Alcamo, J., Davis, G., de Vries, B., Fenhann, J., Gaffin, S., Gregory, K., Grubler, A., Jung, T.Y., Kram, T.La., Rovere, E.L., Michaelis, L., Mori, S., Morita, T., Pepper, W., Pitcher, H.M., Price, L., Riahi, K., Roehrl, A., Rogner, H.H., Sankovski, A., Schlesinger, M., Shukla, P., Smith, S.J., Swart, R., Rooijen, S., Victor, N., Dadi, Z., 2000. Special report on emissions scenarios: a special report of working group III of the intergovernmental panel on climate change. IPCC.

    Google Scholar 

  38. Tahbaz M, Jalilian S. Architectural design principal compatible with climatic conditions of Iran. Tehran: Shahid Beheshti University Press; 2008.

    Google Scholar 

  39. Belcher S, Hacker J, Powell D. Constructing design weather data for future climates. Build Serv Eng Res Technol. 2005;26(1):49–61.

    Article  Google Scholar 

  40. Nik VM, Kalagasidis AS. Impact study of the climate change on the energy performance of the building stock in Stockholm considering four climate uncertainties. Build Environ. 2013;60:291–304.

    Article  Google Scholar 

  41. Koppe C, Jendritzky G. Inclusion of short-termadaption to thermal stresses in a heat load warning procedure. Meteorol. Z. 2005;14:271–8.

    Article  Google Scholar 

  42. Jendritzky G and Tinz B. The thermal environment of the human being on the global scale. In: Kjellström T (ed) Heat, work and health: implications of climate change. Global Health Action, 2009. 2, 1–12.

  43. Matzarakis A, Nastos PT. Human-biometeorological assessment of heat waves in Athens. Theor. Appl. Climatol. 2011;105:99–106.

    Article  Google Scholar 

  44. Basarin B, Lukic T and Matzarakis A. Quantification and assessment of heat and cold waves in Novi Sad, Northern Serbia. Int. J. Biometeorol. 2015, doi:https://doi.org/10.1007/s00484-015-1012-z.

  45. Koppe C. Gesundheitsrelevante Bewertung von thermischer Belastung unter Berücksichtigung der kurzfristigen Anpassung der Bevölkerung an die lokalen Witterungsverhältnisse. Berichte des Deutschen Wetterdienstes Nr. 2005; 226.

  46. Alexander L, Arblaster J. Assessing trends in observed and modelled climate extremes over Australia in relation to future projections. Int. J.Climatol. 2009;29:417–35.

    Article  Google Scholar 

  47. Lee WS, Lee MI. Interannual variability of heat waves in South Korea and their connection with large-scale atmospheric circulation patterns. Int J Climatol. 2016;36:4815–30.

    Article  Google Scholar 

  48. Rahimzadeh F, Asgari A, Fattahi E. Variability of extreme temperature and precipitation in Iran during recent decades. Int J Climatol. 2009;29:329–43.

    Article  Google Scholar 

  49. Roshan GR, Ghanghermeh A, Neyazmand E. Quantification and assessment of effective of global warming on the occurrence of heat and cold waves in some selected stations in Iran. Journal of the Earth and Space Physics. 2019;44(4):127–44.

    Google Scholar 

  50. Unal YS, Tan E, Mentes S. Summer heat waves over western Turkey between 1965 and 2006. Theor Appl Climatol. 2013;112:339–50.

    Article  Google Scholar 

  51. Crawley DB. Contrasting the capabilities of building energy performance simulation programs. Washington. DC.USA: US Department of Energy; 2005.

    Google Scholar 

  52. Fasi MA, Budaiwi IM. Energy performance of windows in office buildings considering daylight integration and visual comfort in hot climates. Energy and Buildings. 2015;108:307–16.

    Article  Google Scholar 

  53. Rahman, M.M., Rasul, M.G., Khan, M.M.K., 2010. Energy conservation measures in an institutional building in sub-tropical climate in Australia. Applied Energy.87, 2994–3004.

  54. Henninger, R.H., Witte, M.J., 2003. EnergyPlus testing with ANSI/ASHRAE standard 140-2001 (BESTEST). EnergyPlus version 1.1. 0.020, Ernest Orlando Lawrence Berkeley National Laboratory Berkeley, California, for US Department of Energy, Washington.

  55. Judkoff, R., Neymark, J., 1995. International energy Agency building energy simulation test (BESTEST) and diagnostic method. National Renewable Energy lab. Golden, CO (US). No. NREL/TP-472-6231.

  56. Kwok, Y.T., Lai, A.K.L., Lau, K.K.L., Chan, P.W., Lavafpour, Y., Ho, J.C.K., Yung Ng, E.Y., 2017. Thermal comfort and energy performance of public rental housing under typical and near-extreme weather conditions in Hong Kong. Energy and Buildings,https://doi.org/10.1016/j.enbuild.2017.09.067.

  57. Mateus NM, Pinto A, da Graça GC. Validation of EnergyPlus thermal simulation of a double skin naturally and mechanically ventilated test cell. Energy Build. 2014;75:511–22.

    Article  Google Scholar 

  58. Shrestha, S., Maxwell, G., 2011. Empirical validation of building energy simulation software: EnergyPlus, 2935–2942.

    Google Scholar 

  59. Alajmi A. Energy audit of an educational building in a hot summer climate. Energy and Buildings. 2012;47:122–30.

    Article  Google Scholar 

  60. Baharvand, M., Ahmad, M.H., Safikhani, T., Majid, R.A., 2013a. DesignBuilder verification and validation for indoor natural ventilation, journal of basic and applied scientific research (JBASR). 3, 8.

  61. Baharvand, M., Bin Ahmad, M.H., Safikhani, T., Abdul Majid, R. B., 2013b. DesignBuilder verification and validation for indoor natural ventilation, J.Basic Appl. Sci. Res. (JBASR). 3 (4), 8.

  62. Kaplan M, Canner P. Guidelines for energy simulation of commercial buildings. Portland: Bonneville Power Administration; 1992.

    Book  Google Scholar 

  63. Oberkampf WL, Trucano TG. Verification and validation in computational fluid dynamics. Prog Aerosp Sci. 2002;38(3):209–72.

    Article  Google Scholar 

  64. Safikhania T, Baharvand M. Evaluating the effective distance between living walls and wall surfaces, energy and. Buildings. 2017;150:498–506.

    Article  Google Scholar 

  65. Maile, T., Fischer, M., Bazjanac V., 2007. Building energy performance simulation tools a life-cycle and interoperable perspective. Center for Integrated Facility Engineering, 1–49.

  66. Martinaitis V, Zavadskas EK, Motuziene V, Vilutiene T. Importance of occupancy information when simulating energy demand of energy efficient house: a case study. Energy and Buildings. 2015;101:64–75.

    Article  Google Scholar 

  67. Yuan T, Ding Y, Zhang Q, Zhu N, Yang K, He Q. Thermodynamic and economic analysis for ground source heat pump system coupled with borehole free cooling. Energy and Buildings. 2017. https://doi.org/10.1016/j.enbuild.2017.09.018.

  68. Zhai ZJ, Johnson M, Krarti M. Assessment of natural and hybrid ventilation models in whole-building energy simulations. Energy and Buildings. 2011;43:2251–61.

    Article  Google Scholar 

  69. Al-musaed A. Biophilic and Bioclimatic Architecture, Analytical Therapy for the Next Generation of Passive Sustainable Architecture, Springer- Verlag London Limited; 2011

  70. Tahbaz, M., Jalilian, Sh., 2011. Principles of architectural approach consistent to climate in Iran with an approach to mosque architecture. Iran. Tehran. Shahid Beheshti University press, 160-180.

  71. Kasmaei M, Da'e-Nejad F, Salkhi S. Zoning and guiding for climate design: hot and humid climate (Hormozgan). Tehran, Building and Housing Research Center: Iran; 2014.

    Google Scholar 

  72. Al-Musaed A. Intelligent Sustainable Strategies upon Passive bioclimatic houses Arkitektskole, Arhus. 2004.

  73. Rezaei M, Molavi M. Sustainable development and native architecture in Iran: Iran. Tehran. Simay-e- Danesh Publication; 2016.

  74. Givoni B. Ventilation problems in hot countries, research report to the Ford Foundation. Technion, Haifa, Israel: Building Research Station; 1968.

    Google Scholar 

  75. Spenani A. Climatological capabilities of native architecture: case study of Kish Island. Peyk Nour Magazine. 2004;2(2).

  76. Ghobadian V. Climatic survey of traditional Iranian buildings. Tehran: Tehran University Press; 1995.

    Google Scholar 

  77. Roshan G, Farrokhzad M and Attia S. Climatic clustering analysis for novel atlas mapping and bioclimatic design recommendations. Indoor and Built Environment, 2019, https://doi.org/10.1177/1420326X19888572

  78. Zolfaghari SA, Saadatinasnab M, Nowroozi-Jajarm E. Estimation of the effect of exterior exposure of building on annual energy consumption in different climate of Iran. Iranian Journal of Energy. 2015;7(4).

  79. Roshan G, Farrokhzad M, Attia S. Defining thermal comfort boundaries for heating and cooling demand estimation in Iran's urban settlements. Build Environ. 2017. https://doi.org/10.1016/j.buildenv.2017.05.023.

  80. Fanger PO. Thermal comfort. McGraw Hill, New York: Doctoral Thesis; 1972.

    Google Scholar 

  81. Ruiz MA, Correa EN. Suitability of different comfort indices for the prediction of thermal conditions in tree-covered outdoor spaces in arid cities. 2015;122(1-2):69–83.

  82. Roshan GR, Orosa JA, Nasrabadi T. Simulation of climate change impact on energy consumption in buildings, case study of Iran. Energy Policy. 2012;49:731–9.

    Article  Google Scholar 

  83. Ben-Gai T, Bitan A, Manes A, Alpert P, Rubin S. Temporal and spatial trends of temperature patterns in Israel. Theor Applied Clim. 1999;64:163–77.

    Article  Google Scholar 

  84. Nasrallah HA, Balling RC. Spatial and temporal analysis of middle eastern temperature changes. Clim Chang. 1993;25:153–61.

    Article  Google Scholar 

  85. Türkes M, Sümer UM. Spatial and temporal patterns of trends and variability in diurnal temperature ranges in Turkey. Theor Appl Clim. 2004;77:195–227.

    Article  Google Scholar 

  86. Roshan G, Nastos P. Assessment of extreme heat stress probabilities in Iran's urban settlements, using first order Markov chain model. Sustain Cities Soc. 2018;36:302–10.

    Article  Google Scholar 

  87. Roshan GR, Orosa JA, Nasrabadi T. Simulation of climate change impact on energy consumption in buildings, case study of Iran. Energy Policy. 2012;49(2012):731–9.

    Article  Google Scholar 

  88. Lin CY, Chien YY, Jui SC, Kueh MT, Lung SC. Climate variability of heat wave and projection of warming scenario in Taiwan. Clim Chang. 2017;145:305–20. https://doi.org/10.1007/s10584-017-2091-0.

    Article  Google Scholar 

  89. Lhotka O, Kyselý J, Farda A. Climate change scenarios of heat waves in Central Europe and their uncertainties. Theor Appl Climatol. 2017;131:1043–54. https://doi.org/10.1007/s00704-016-2031-3.

    Article  Google Scholar 

  90. Gao X, Schlosser CA, Morgan ER. Potential impacts of climate warming and increased summer heat stress on the electric grid: a case study for a large power transformer (LPT) in the Northeast United States. Clim Chang. 2017;147:107–18. https://doi.org/10.1007/s10584-017-2114-x.

    Article  Google Scholar 

  91. Rusticucci M, Kyselý J, Almeira G, Lhotka O. Long-term variability of heat waves in Argentina and recurrence probability of the severe 2008 heat wave in Buenos Aires. Theor Appl Climatol. 2016;124(3–4):679–89.

    Article  Google Scholar 

  92. Roshan G, Orosa J. Regional climate changes and their effects on monthly energy consumption in buildings in Iran. Natural Environment Change. 2015;1(1):31–48.

    Google Scholar 

  93. Zarghami M, Abdi A, Babaeian I, Hassanzadeh Y, Kanani R. Impact of climate change on runoffs in East Azerbaijan, Iran. Glob Planet Chang. 2011;78:137–46.

    Article  Google Scholar 

  94. Matzarakis, A., Amelung, B., 2008. Physiological equivalent temperature as indicator for impacts of climate change on thermal comfort of humans. Seasonal forecasts. Climatic change and human health. Adv. Glob .Change. Res. 30, 161–172.

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Acknowledgements

This paper is obtained from a sabbatical by first author of paper, which is conducted at the National Research University Moscow Power Engineering Institute Moscow Russia. First of all, I would like to thank the Golestan University that sponsored the research project. I also thank the members of Laboratory of Global Energy Problems (NIL GGE) of the Moscow Power Engineering Institute (Technical University) who provided the facilities and resources needed to conduct the research project. The authors of the paper are finally very grateful to referees for the useful comments that have been improved the paper.

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Authors and Affiliations

  1. Department of Geography, Golestan University, Shahid Beheshti, Gorgan, 49138-15759, Iran

    Gholamreza Roshan

  2. Department of Architecture, Islamic Azad University of Gonbad Kavous branch, Gonbad Kavous, Iran

    Maryam Arab

  3. Department of Architecture, Golestan University, Gorgan, Iran

    Maryam Arab

  4. Moscow Power Engineering Institute, ul. Krasnokazarmennaya 14, Moscow, 111250, Russia

    Vladimir Klimenko

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Highlights

• In this research, the Meteonorm and DesignBuilder software have been used for climate and building simulations.

• Based on the thermal comfort thresholds and the PMV bioclimatic index, the pattern of comfort days, discomfort cold and hot days’ conditions were monitored for the current and future periods.

• Due to global warming, although a number of the discomfort cold days have been decreasing, this model change has little effect on the pattern of buildings' heating energy consumption in the coming decades.

• Given the increasing trend of discomfort warm days, more than 95% of the energy demand for the next decades for Bandar Abbas and Chabahar stations will be due to cooling, whereas it will constitute more than 80% for Bushehr.

• In total, due to the increased demand for cooling energy for all three study stations in the coming decades, this will further increase carbon dioxide emissions.

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Roshan, G., Arab, M. & Klimenko, V. Modeling the impact of climate change on energy consumption and carbon dioxide emissions of buildings in Iran. J Environ Health Sci Engineer 17, 889–906 (2019). https://doi.org/10.1007/s40201-019-00406-6

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