Optimization of Window Sizes based on Different Climatic Conditions

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Different climatic conditions have an impact on a building’s performance. Climate-related factors will also affect how energy-efficient a structure is. As a result, making comparisons between buildings in various climate zones will produce inappropriate results. It is crucial to understand how much a building’s energy performance can vary depending on the climate. By running energy simulation on the typical building, the climatic condition ratio is established for various climate zones of India in order to increase the accuracy of building assessment rating tools. The purpose of this paper is to study the effect of the size, position and direction of windows on the amount of energy required for cooling and heating of an indoor room situated within different climatic conditions in India, According to the study’s findings, the size of a building’s windows is the important and the primary factor responsible for influencing the cooling and heating load requirements and energy efficiency of a building or a single room. By selecting the ideal window size, which for an autonomous façade is between 10% and 50%, one can minimise energy usage by 40% and CO2 emissions by 30%. An autonomous façade’s cooling and heating demand is significantly impacted by orientation. The worst heating and cooling load requirement is at an orientation of 70°E to the south-east. The findings indicate that the south is the optimum direction for the amount of energy needed for winter heating and the north is the best direction for summer cooling.

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Different climatic conditions have an impact on a building’s performance. Climate-related factors will also affect how energy-efficient a structure is. As a result, making comparisons between buildings in various climate zones will produce inappropriate results. It is crucial to understand how much a building’s energy performance can vary depending on the climate. By running energy simulation on the typical building, the climatic condition ratio is established for various climate zones of India in order to increase the accuracy of building assessment rating tools. The purpose of this paper is to study the effect of the size, position and direction of windows on the amount of energy required for cooling and heating of an indoor room situated within different climatic conditions in India, According to the study’s findings, the size of a building’s windows is the important and the primary factor responsible for influencing the cooling and heating load requirements and energy efficiency of a building or a single room. By selecting the ideal window size, which for an autonomous façade is between 10% and 50%, one can minimise energy usage by 40% and CO2 emissions by 30%. An autonomous façade’s cooling and heating demand is significantly impacted by orientation. The worst heating and cooling load requirement is at an orientation of 70°E to the south-east. The findings indicate that the south is the optimum direction for the amount of energy needed for winter heating and the north is the best direction for summer cooling.

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Different climatic conditions have an impact on a building’s performance. Climate-related factors will also affect how energy-efficient a structure is. As a result, making comparisons between buildings in various climate zones will produce inappropriate results. It is crucial to understand how much a building’s energy performance can vary depending on the climate. By running energy simulation on the typical building, the climatic condition ratio is established for various climate zones of India in order to increase the accuracy of building assessment rating tools. The purpose of this paper is to study the effect of the size, position and direction of windows on the amount of energy required for cooling and heating of an indoor room situated within different climatic conditions in India, According to the study’s findings, the size of a building’s windows is the important and the primary factor responsible for influencing the cooling and heating load requirements and energy efficiency of a building or a single room. By selecting the ideal window size, which for an autonomous façade is between 10% and 50%, one can minimise energy usage by 40% and CO2 emissions by 30%. An autonomous façade’s cooling and heating demand is significantly impacted by orientation. The worst heating and cooling load requirement is at an orientation of 70°E to the south-east. The findings indicate that the south is the optimum direction for the amount of energy needed for winter heating and the north is the best direction for summer cooling.

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    Anshika Jain

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  1. PG Scholar,Department of Building Engineering and Management, School of Planning and Architecture,New Delhi,India
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Abstract

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Different climatic conditions have an impact on a building’s performance. Climate-related factors will also affect how energy-efficient a structure is. As a result, making comparisons between buildings in various climate zones will produce inappropriate results. It is crucial to understand how much a building’s energy performance can vary depending on the climate. By running energy simulation on the typical building, the climatic condition ratio is established for various climate zones of India in order to increase the accuracy of building assessment rating tools. The purpose of this paper is to study the effect of the size, position and direction of windows on the amount of energy required for cooling and heating of an indoor room situated within different climatic conditions in India, According to the study’s findings, the size of a building’s windows is the important and the primary factor responsible for influencing the cooling and heating load requirements and energy efficiency of a building or a single room. By selecting the ideal window size, which for an autonomous façade is between 10% and 50%, one can minimise energy usage by 40% and CO2 emissions by 30%. An autonomous façade’s cooling and heating demand is significantly impacted by orientation. The worst heating and cooling load requirement is at an orientation of 70°E to the south-east. The findings indicate that the south is the optimum direction for the amount of energy needed for winter heating and the north is the best direction for summer cooling.

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Keywords: Window to wall ratio, Optimization criteria of Windows, energy efficiency, Visual comfort

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https://storage.googleapis.com/journals-stmjournals-com-wp-media-to-gcp-offload/2023/06/90645023-33-43-optimization-of-window-sizing-based-on-different-climatic-conditions_ed.pdf

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References

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1. Dept. of Energy. Office, “Windows and Building Envelope Research and Development A Roadmap for Emerging Technologies,” Office of Energy Efficiency and Renewable Energy, Wahington, 2014.
2. A. k. Eljojo, “Effect of Windows Size, Position and Orientation on the Amount of Energy,” Journal of Engineering Research and Technology, Volume 1, Issue 1, December 2017, 2017.
3. X. S. Xu Zhang, “Environmental performance optimization of window–wall ratio for different window type in hot summer and cold winter zone in China based on life cycle assessment,” Energy and Buildings, Feb 2010.
4. S. A. Samar Jaber, “Thermal and economic windows design for different climate zones,” Energy and Buildings, 2011.
5. A. SH, “Critical Analysis of Energy Efficiency Assessment by International Green Building Rating Tools and Its Effects on Local Adaptation,” Journal for Science and Engineering 44 8599-613, 2019.
6. G. R. a. Q. L. X. H. H. Wang, ““Energy saving effect of building envelope in summer,”,” Journal of Cen-tral South University of Technology (English Edition), vol. 19, no. 5, pp. 1370-1376, 2012.
7. M. S. Al-Homoud, ““Optimum thermal design of office buildings,” International Journal of Energy Research, vol. 21, pp. 941-957, 1997.

8. A. H. M. S. Sana Sayadi, “Optimization ofWindow-to-Wall Ratio for Buildings Located in Different Climates: An IDA-Indoor Climate and Energy,” Energies 2021, 2021.
9. “Natinal Building Code,” Vols. vol.1, part 3, 2016.
10. Sawyer K. Windows and building envelope research and development. Roadmap for emerging technologies, US Department of Energy, Office of Energy Efficiency and Renewable Energy. 2014.

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Regular Issue Subscription Review Article

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Volume 01
Issue 01
Received April 3, 2023
Accepted April 24, 2023
Published April 30, 2023

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