The effects of climate on energy consumption of the building's heating and cooling

Document Type : Research Article

Authors

1 School of Mechanical Engineering, Shiraz University, Shiraz, Iran

2 Faculty of New sciences and Technologies, University of Tehran, Tehran, Iran

3 Department of Energy Engineering, Sharif University of Technology, Tehran, Iran

Abstract

The paper examines the impact of climate change on the cooling and heating load of a sample building in 1000 locations across Iran. Although climate change affects the behavior of residents, building layers, tariffs of energy carriers, and other goods in addition to changing weather conditions, in this study only the effects of changing weather conditions on cooling and heating load have been studied. The results can be utilized to obtain a fair price for energy carriers in different climates, plan energy carriers' supply chains, and check the appropriate technologies to reduce energy consumption (insulations, water heaters, and other similar cases). In order to quantify the impact of climate changes on cooling and heating load, engineering software has been used. Investigating the cooling load and heating calculated shows that the range of the heating load is far greater than the range of the cooling load, and in general, the average cooling load is higher than the heating load. The maximum, average and minimum heating load was 198 , 7.2 , and close to zero, respectively. Moreover, the maximum, average and minimum cooling load was 166 , 67 , and 3.6 , respectively.

Keywords

References

  • Khatib, “IEA World Energy Outlook 2011—A comment,” Energy Policy, vol. 48, pp. 737–743, Sep. 2012, doi: 10.1016/J.ENPOL.2012.06.007.
  • K. Bui, T. N. Nguyen, T. D. Ngo, and H. Nguyen-Xuan, “An artificial neural network (ANN) expert system enhanced with the electromagnetism-based firefly algorithm (EFA) for predicting the energy consumption in buildings,” Energy, vol. 190, p. 116370, Jan. 2020, doi: 10.1016/J.ENERGY.2019.116370.
  • Pérez-Lombard, J. Ortiz, and C. Pout, “A review on buildings energy consumption information,” Energy Build., vol. 40, no. 3, pp. 394–398, Jan. 2008, doi: 10.1016/J.ENBUILD.2007.03.007.
  • Zemella, D. De March, M. Borrotti, and I. Poli, “Optimised design of energy efficient building façades via Evolutionary Neural Networks,” Energy Build., vol. 43, no. 12, pp. 3297–3302, Dec. 2011, doi: 10.1016/J.ENBUILD.2011.10.006.
  • P. Tootkaboni, I. Ballarini, M. Zinzi, V. C.- Climate, and undefined 2021, “A comparative analysis of different future weather data for building energy performance simulation,” mdpi.com, Accessed: Oct. 29, 2022. [Online]. Available: https://www.mdpi.com/1008604
  • Pérez-Andreu, C. Aparicio-Fernández, A. Martínez-Ibernón, and J. L. Vivancos, “Impact of climate change on heating and cooling energy demand in a residential building in a Mediterranean climate,” Energy, vol. 165, pp. 63–74, Dec. 2018, doi: 10.1016/J.ENERGY.2018.09.015.
  • Attia, C. G.- Energies, and undefined 2020, “Climate change effects on belgian households: a case study of a nearly zero energy building,” mdpi.com, Accessed: Oct. 29, 2022. [Online]. Available: https://www.mdpi.com/855878
  • Zheng and Q. Weng, “Modeling the effect of climate change on building energy demand in Los Angeles county by using a GIS-based high spatial- and temporal-resolution approach,” Energy, vol. 176, pp. 641–655, Jun. 2019, doi: 10.1016/J.ENERGY.2019.04.052.
  • Bamdad, M. E. Cholette, S. Omrani, and J. Bell, “Future energy-optimised buildings — Addressing the impact of climate change on buildings,” Energy Build., vol. 231, p. 110610, Jan. 2021, doi: 10.1016/J.ENBUILD.2020.110610.

 

  • Bienvenido-Huertas, C. Rubio-Bellido, F. Farinha, M. J. Oliveira, and J. L. Pérez-Ordóñez, “Evaluating the potential of adaptive comfort approach using historic data to reduce energy consumption in buildings in southern Spain,” Build. Environ., vol. 185, p. 107313, Nov. 2020, doi: 10.1016/J.BUILDENV.2020.107313.
  • K. Alghoul, H. G. Rijabo, and M. E. Mashena, “Energy consumption in buildings: A correlation for the influence of window to wall ratio and window orientation in Tripoli, Libya,” J. Build. Eng., vol. 11, pp. 82–86, May 2017, doi: 10.1016/J.JOBE.2017.04.003.
  • T. Nguyen, D. Rockwood, M. K. Doan, and T. K. Dung Le, “Performance assessment of contemporary energy-optimized office buildings under the impact of climate change,” J. Build. Eng., vol. 35, p. 102089, Mar. 2021, doi: 10.1016/J.JOBE.2020.102089.
  • Golkar, M. Baneshi, and A. Fathi, “An integrated framework for optimum planning and operating solar energy conversion technologies in buildings,” Int. J. Energy Res., vol. 46, no. 12, pp. 16476–16499, Oct. 2022, doi: 10.1002/ER.8310.
  • Heiple and D. J. Sailor, “Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles,” Energy Build., vol. 40, no. 8, pp. 1426–1436, Jan. 2008, doi: 10.1016/J.ENBUILD.2008.01.005.
  • M. Bhutta, “Application of smart energy technologies in building sector - Future prospects,” ICECE 2017 - 2017 Int. Conf. Energy Conserv. Effic. Proc., vol. 2018-January, pp. 7–10, Jun. 2017, doi: 10.1109/ECE.2017.8248820.
  • Ali, "Estimating the useful energy demand of the household sector in Iran by separating different household expenditure groups," sid.ir, Accessed: Oct. 29, 2022. [Online]. Available: https://www.sid.ir/fa/Journal/ViewPaper.aspx?ID=109282
  • C. Bhattacharyya and G. R. Timilsina, “Modelling energy demand of developing countries: Are the specific features adequately captured?,” Energy Policy, vol. 38, no. 4, pp. 1979–1990, Apr. 2010, doi: 10.1016/j.enpol.2009.11.079.
  • A. Aziz, N. Hashim, N. Mustapha, and R. Ismail, “Factors Affecting Energy Demand in Developing Countries: A Dynamic Panel Analysis,” Int. J. Energy Econ. Policy, vol. 3, no. 4, pp. 1–6, Dec. 2013, Accessed: Oct. 29, 2022. [Online]. Available: https://dergipark.org.tr/en/pub/ijeeep/issue/31907/350757
  • Moslehi H. Design and Load Calculation Book of Mechanical Installations in Design Builder. 2017. - Google Search https://www.google.com/search?client=firefox-b-d&q (accessed Oct. 29, 2022).
  • Golkar, M. Banshi and A. Fathi, "Developing a technical-economic model for choosing the cooling system of office buildings in hot and dry regions - the investigated example of water and sewage building in Fars province." The 6th Annual Clean Energy Conference, Oct. 01, 1398. Accessed: Oct. 29, 2022. [Online]. Available: https://civilica.com/doc/969617/certificate/print/
  • Office of National Construction Regulations, "The Fifth Topic of Iran's National Construction Regulations, Construction Materials and Products," p. 260, 1392.
  • L. Wong, K. K. W. Wan, D. H. W. Li, and J. C. Lam, “Impact of climate change on residential building envelope cooling loads in subtropical climates,” Energy Build., vol. 42, no. 11, pp. 2098–2103, Nov. 2010, doi: 10.1016/J.ENBUILD.2010.06.021.
  • Wang, H. Lin, W. Wang, Y. Liu, R. Wennersten, and Q. Sun, “Impacts of climate change on the cooling loads of residential buildings differences between occupants with different age,” Energy Procedia, vol. 142, pp. 2677–2682, Dec. 2017, doi: 10.1016/J.EGYPRO.2017.12.210.

 

 

Iranian journal of Ecohydrology
Volume 9, Issue 3
October 2022
Pages 691-703

Files

History

  • Receive Date: 31 March 2022
  • Revise Date: 30 April 2022
  • Accept Date: 20 June 2022
  • First Publish Date: 23 September 2022
  • Publish Date: 23 September 2022

Share

How to cite

Statistics