Advertisement

Adaptation Strategies and Resilience to Climate Change for Warm, Dry-Summer Continental Climate in Iran

  • Gholamreza RoshanEmail author
  • José A. Orosa
  • Ángel M. Costa
  • Rebeca Bouzón
Chapter
Part of the Advances in Science, Technology & Innovation book series (ASTI)

Abstract

In order to access the process of supply and demand of the energy needed by human settlements to provide thermal comfort in Iran, one warm, dry-summer continental climate station was selected with regard to the recommendations of bioclimatic design for the two periods of 1986–2015 and 2020–2050 was studied. In order to provide bioclimatic solutions, Givoni’s correction chart was used in this study. Also, the output of the CanESM2 general circulation model was downscaled using a multi-station metacentric resonance imaging method called SKNN so as to achieve the local values of two components of daily mean of minimum and maximum temperatures and relative humidity in upcoming periods. It should be noted that this study was carried out based on RCP2.6 greenhouse gas emission lines of the fifth report of the Intergovernmental Panel on Climate Change. The findings of this study showed that in all the studied stations, the trend of temperature increase over the coming decades is not unexpected. This will reduce the use of heating strategies and increase the use of different cooling strategies. Also, according to observational and simulated data, it was found that the most important recommendation for the bioclimatic design for these stations is the Internal Gains solution. Finally, the outputs of this research are expected to be used in the area of energy risk management and land use with the global warming approach in Iran.

Keywords

Future climate Greenhouse gas emissions Climate responsive design Energy consumption Thermal comfort Iran 

References

  1. 1.
    Stocker, T.F., Qin, D., Plattner, G.K., Tignor, M., Allen, S.K., Boschung, J., Midgley, P.M.: Fifth assessment report of the intergovernmental panel on climate change. In: The Physical Science Basis (2013)Google Scholar
  2. 2.
    Roshan, GhR, Ghanghermeh, A.A., Attia, S.: Determining new threshold temperatures for cooling and heating degree day index of different climatic zones of Iran. Renew. Energy 101, 156–167 (2016)CrossRefGoogle Scholar
  3. 3.
    Attia, S.: Regenerative and Positive Impact Architecture: Learning From Case Studies (2017)Google Scholar
  4. 4.
    Roshan, G.R., Farrokhzad, M., Attia, S.: Defining thermal comfort boundaries for heating and cooling demand estimation in Iran’s urban settlements. Build Environ 121, 168–189 (2017)CrossRefGoogle Scholar
  5. 5.
    Kim, K.-Y., Kim, B.J., Yi, G.S.: Reuse of imputed data in microarray analysis increases imputation efficiency. BMC Bioinf. 5, 160.  https://doi.org/10.1186/1471-2105-5-160CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Gholamreza Roshan
    • 1
    • 2
    Email author
  • José A. Orosa
    • 2
  • Ángel M. Costa
    • 2
  • Rebeca Bouzón
    • 2
  1. 1.Department of GeographyGolestan UniversityGorganIran
  2. 2.Energy and Propulsion Research GroupUniversity of a CoruñaA CoruñaSpain

Personalised recommendations