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A Model for Designing Climate Adaptive Shading Devices: The Case of Bayrakli Tower

Year 2021, , 1419 - 1431, 01.12.2021
https://doi.org/10.2339/politeknik.634771

Abstract

Façade is accepted as a determinant component on energy performance of a building, forming the boundaries between inner and outer conditions. With an intention to improve the building energy performance of an existing office building, façade integrated shading devices are examined through the cooling energy consumptions. OpenStudio simulation software is used for calculating heating and cooling electricity consumptions. The ilding simulation model is validated by comparing the simulation results with monthly electricity consumption bills. Shading device requirements are determined by using the building model without shading devices and simulation results are studied together with the sun path diagram analysis results. Hourly and seasonal solar movements are considered as the main parameters affecting the ‘transparency’ and ‘elevation angles’ of the shading devices. As a result of the shading device requirement analysis, climate adaptive shading device (CASD) scenarios are presented for the case building. Consequently, existing shading devices and proposed CASD scenarios are compared and discussed in terms of electricity consumptions and window solar radiation energy parameters. As a result of the comparisons, shading devices that are adaptable to both hourly and seasonal solar movements gave the highest improvement results in terms of decreasing cooling energy consumptions. Also, suggestions are given for developing the best performing façade for further studies.

References

  • OECD. (2001). Climate Change. The Organisation for Economic Co-operation and Development. Retrieved 5 August, 2017, from http://www.oecd.org/env/cc/2002529.pdf.
  • European Commission. (2018). European Commission. Retrieved from https://ec.europa.eu/
  • T.C. Çevre ve Şehircilik Bakanlığı. (2017). TMOBB Elektrik Mühendisleri Odası, Retrieved from http://www.emo.org.tr/ekler/e90ef5143376f7e_ek.pdf
  • T825, “Binalarda Isı Yalıtım Kuralları Standardı”, (1999).
  • Van Dijk, R. “Adaptables- An Adapative Façade for the Future”, Delft: Delft University of Technology, (2010)
  • Loonen, R.C.G.M., “Overview of 100 climate adaptive building shells”, Master Thesis, Eindhoven University of Technology, (2010).
  • Loonen, R., Trcka, M., & Hensen, M., “Exploring the potential of climate adaptive building shells”, Sydney: International Building Performance Simulation Association, 2148-2155, (2011).
  • Loonen, R., Trcka, M., Costola, D., & Hensen, J., “Climate adaptive building shells: State-of-the-art and future challenges”, Renewable and Sustainable Energy Reviews, 25: 483-493, (2013).
  • Loonen, R., Rico-Martinez, J., Favoino, F., Brzezicki, M., Menezo, C., La Ferla, G., & Aelenei, L. “Design for façade adaptability- Towards a unified and systematic characterization”, 10th Conference on Building Skins, Bern, 1284-1294, (2015).
  • Attia, S., Favoino, F., Loonen, R., Petrovski, A., & Monge-Barrio, “A. Adaptive façades system assessment: An initial review”, Building Skins, 1265-1273, (2015).
  • Aelenei, D., Aelenei, L., & Vieira, C., “Adaptive façade: concept, applications, research questions”, Energy Procedia, 91: 269-275, (2016).
  • Loonen, R., Favoino, F., Hensen, J., & Overend, M., “Review of current status, requirements and opportunities for building performance simulation of adaptive façades”, Journal of Building Performance Simulation, 10(2): 205-223, (2017).
  • Loonen, R., Trcka, M., Costola, D., & Hensen, J., “Performance simulation of climate adaptive building shells-Smart Energy Glass as a case study”, Proceedings of the Ninth International Conference on System Simulation in Buildings, Liege: Université de Liège - Atelier des Presses, 1-19, (2010).
  • Kim, K.-H., “A comparative life cycle assessment of a transparent composite façade system and a glass curtain wall system”, Energy and Buildings, 12: 3436-3445, (2011).
  • Abboushi, B. K., “The effects of adaptive shading and the selective reflector light shelf on office building energy efficiency and daylight performance in hot arid regions”, Master Thesis, University of Arizona, (2013).
  • Bianco, L., Komerska, A., Cascone, Y., Serra, V., Zinzi, M., Carnielo, E., & Ksionek, D., “Thermal and optical characterisation of dynamic shading systems with PCMs through laboratory experimental measurements”, Energy and Buildings, 163: 92-110, (2018).
  • Ganiç, N., “Calculation of cost optimal levels of minimum Energy Performance Requirements for Office Building Retrofits”, Master Thesis, İstanbul Technical University, (2012).
  • ASHRAE, “Nonresidential Cooling and Heating Load Calculation Procedures, Handbook- Fundamentals”, ASHRAE (American Society of Heating, Refrigerating and Air-Conditioning Engineers), Atlanta, USA, (2009).
  • Climate.OneBuilding. (2019) WMO Region 6 – Europe Repository of free climate data for building performance simulation: retrieved from http://climate.onebuilding.org/.
  • Krieder, J.F. & Haberl, J.S., “Predicting hourly building energy use: The great energy predictor shootout - Overview and discussion of results”, ASHRAE Journal, 36:6, United States, (1994).
  • McCray, J.A., Bailey, P.L., Parker, J.L. & Gillman, R., “Using Data Visualization Tools for the Calibration of Hourly DOE-2.1E Simulations”, Proceeding of Building Simulation, 95: 461- 466, (1995).
  • Cohen, D. A., & Bailey, P., “An approach to calibrating DOE-2 simulation models using hourly end-use data and data visualization software”, ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA (US), (1998).
  • SunEarthTools. (2017, December). Solar tools. April 17, 2017 from Sun position: https://www.sunearthtools.com/dp/tools/pos_sun.php.
  • Jin, Q., Overend, M., & Favoino, F., “Towards an ideal adaptive glazed façade for office buildings”, Energy Procedia, 62, (2014).
  • Favoino, F., Overend, M., & Jin, Q., “The optimal thermo-optical properties and energy saving potential of adaptive glazing technologies”, Applied Energy, 156: 1-15, (2015).
  • De Boer, B. J., Ruijg, G. J., Loonen, R. C. G. M., Trcka, M., Hensen, J. L. M., & Kornaat, W., “Climate adaptive building shells for the future–optimization with an inverse modelling approach”, Energy efficiency first: The foundation of a low-carbon society, 1413-1422, (2011).
  • Ferguson, S., Siddiqi, A., Lewis, K., & de Weck, O., “Flexible and reconfigurable systems: Nomenclature and review”, ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers, 249-263, (2007).
  • Gür, N. V. & Aygün, M., “Mimaride sürdürülebilirlik kapsamında değişken yapı kabukları için bir tasarım destek sistemi”, İTÜdergisi/a mimarlık, planlama, tasarım, 7(1): 74-82, (2008).
  • Orhon, A. V., “Akıllı Yapı Kabukları”, 11. Ulusal Tesisat Mühendisliği Kongresi, İzmir Chamber of Mechanical Engineers, 1481-1487, (2013).
  • Gür, N. V., “Mimaride sürdürülebilirlik kapsamında değişken yapı kabukları için bir tasarım destek sistemi”, Phd Thesis, İstanbul Technical University, (2007).

A Model for Designing Climate Adaptive Shading Devices: The Case of Bayrakli Tower

Year 2021, , 1419 - 1431, 01.12.2021
https://doi.org/10.2339/politeknik.634771

Abstract

Façade is accepted as a determinant component on energy performance of a building, forming the boundaries between inner and outer conditions. With an intention to improve the building energy performance of an existing office building, façade integrated shading devices are examined through the cooling energy consumptions. OpenStudio simulation software is used for calculating heating and cooling electricity consumptions. The ilding simulation model is validated by comparing the simulation results with monthly electricity consumption bills. Shading device requirements are determined by using the building model without shading devices and simulation results are studied together with the sun path diagram analysis results. Hourly and seasonal solar movements are considered as the main parameters affecting the ‘transparency’ and ‘elevation angles’ of the shading devices. As a result of the shading device requirement analysis, climate adaptive shading device (CASD) scenarios are presented for the case building. Consequently, existing shading devices and proposed CASD scenarios are compared and discussed in terms of electricity consumptions and window solar radiation energy parameters. As a result of the comparisons, shading devices that are adaptable to both hourly and seasonal solar movements gave the highest improvement results in terms of decreasing cooling energy consumptions. Also, suggestions are given for developing the best performing façade for further studies.

References

  • OECD. (2001). Climate Change. The Organisation for Economic Co-operation and Development. Retrieved 5 August, 2017, from http://www.oecd.org/env/cc/2002529.pdf.
  • European Commission. (2018). European Commission. Retrieved from https://ec.europa.eu/
  • T.C. Çevre ve Şehircilik Bakanlığı. (2017). TMOBB Elektrik Mühendisleri Odası, Retrieved from http://www.emo.org.tr/ekler/e90ef5143376f7e_ek.pdf
  • T825, “Binalarda Isı Yalıtım Kuralları Standardı”, (1999).
  • Van Dijk, R. “Adaptables- An Adapative Façade for the Future”, Delft: Delft University of Technology, (2010)
  • Loonen, R.C.G.M., “Overview of 100 climate adaptive building shells”, Master Thesis, Eindhoven University of Technology, (2010).
  • Loonen, R., Trcka, M., & Hensen, M., “Exploring the potential of climate adaptive building shells”, Sydney: International Building Performance Simulation Association, 2148-2155, (2011).
  • Loonen, R., Trcka, M., Costola, D., & Hensen, J., “Climate adaptive building shells: State-of-the-art and future challenges”, Renewable and Sustainable Energy Reviews, 25: 483-493, (2013).
  • Loonen, R., Rico-Martinez, J., Favoino, F., Brzezicki, M., Menezo, C., La Ferla, G., & Aelenei, L. “Design for façade adaptability- Towards a unified and systematic characterization”, 10th Conference on Building Skins, Bern, 1284-1294, (2015).
  • Attia, S., Favoino, F., Loonen, R., Petrovski, A., & Monge-Barrio, “A. Adaptive façades system assessment: An initial review”, Building Skins, 1265-1273, (2015).
  • Aelenei, D., Aelenei, L., & Vieira, C., “Adaptive façade: concept, applications, research questions”, Energy Procedia, 91: 269-275, (2016).
  • Loonen, R., Favoino, F., Hensen, J., & Overend, M., “Review of current status, requirements and opportunities for building performance simulation of adaptive façades”, Journal of Building Performance Simulation, 10(2): 205-223, (2017).
  • Loonen, R., Trcka, M., Costola, D., & Hensen, J., “Performance simulation of climate adaptive building shells-Smart Energy Glass as a case study”, Proceedings of the Ninth International Conference on System Simulation in Buildings, Liege: Université de Liège - Atelier des Presses, 1-19, (2010).
  • Kim, K.-H., “A comparative life cycle assessment of a transparent composite façade system and a glass curtain wall system”, Energy and Buildings, 12: 3436-3445, (2011).
  • Abboushi, B. K., “The effects of adaptive shading and the selective reflector light shelf on office building energy efficiency and daylight performance in hot arid regions”, Master Thesis, University of Arizona, (2013).
  • Bianco, L., Komerska, A., Cascone, Y., Serra, V., Zinzi, M., Carnielo, E., & Ksionek, D., “Thermal and optical characterisation of dynamic shading systems with PCMs through laboratory experimental measurements”, Energy and Buildings, 163: 92-110, (2018).
  • Ganiç, N., “Calculation of cost optimal levels of minimum Energy Performance Requirements for Office Building Retrofits”, Master Thesis, İstanbul Technical University, (2012).
  • ASHRAE, “Nonresidential Cooling and Heating Load Calculation Procedures, Handbook- Fundamentals”, ASHRAE (American Society of Heating, Refrigerating and Air-Conditioning Engineers), Atlanta, USA, (2009).
  • Climate.OneBuilding. (2019) WMO Region 6 – Europe Repository of free climate data for building performance simulation: retrieved from http://climate.onebuilding.org/.
  • Krieder, J.F. & Haberl, J.S., “Predicting hourly building energy use: The great energy predictor shootout - Overview and discussion of results”, ASHRAE Journal, 36:6, United States, (1994).
  • McCray, J.A., Bailey, P.L., Parker, J.L. & Gillman, R., “Using Data Visualization Tools for the Calibration of Hourly DOE-2.1E Simulations”, Proceeding of Building Simulation, 95: 461- 466, (1995).
  • Cohen, D. A., & Bailey, P., “An approach to calibrating DOE-2 simulation models using hourly end-use data and data visualization software”, ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA (US), (1998).
  • SunEarthTools. (2017, December). Solar tools. April 17, 2017 from Sun position: https://www.sunearthtools.com/dp/tools/pos_sun.php.
  • Jin, Q., Overend, M., & Favoino, F., “Towards an ideal adaptive glazed façade for office buildings”, Energy Procedia, 62, (2014).
  • Favoino, F., Overend, M., & Jin, Q., “The optimal thermo-optical properties and energy saving potential of adaptive glazing technologies”, Applied Energy, 156: 1-15, (2015).
  • De Boer, B. J., Ruijg, G. J., Loonen, R. C. G. M., Trcka, M., Hensen, J. L. M., & Kornaat, W., “Climate adaptive building shells for the future–optimization with an inverse modelling approach”, Energy efficiency first: The foundation of a low-carbon society, 1413-1422, (2011).
  • Ferguson, S., Siddiqi, A., Lewis, K., & de Weck, O., “Flexible and reconfigurable systems: Nomenclature and review”, ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers, 249-263, (2007).
  • Gür, N. V. & Aygün, M., “Mimaride sürdürülebilirlik kapsamında değişken yapı kabukları için bir tasarım destek sistemi”, İTÜdergisi/a mimarlık, planlama, tasarım, 7(1): 74-82, (2008).
  • Orhon, A. V., “Akıllı Yapı Kabukları”, 11. Ulusal Tesisat Mühendisliği Kongresi, İzmir Chamber of Mechanical Engineers, 1481-1487, (2013).
  • Gür, N. V., “Mimaride sürdürülebilirlik kapsamında değişken yapı kabukları için bir tasarım destek sistemi”, Phd Thesis, İstanbul Technical University, (2007).
There are 30 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Article
Authors

Hande Odaman Kaya 0000-0002-4450-6922

Müjde Altın 0000-0001-6948-9463

Publication Date December 1, 2021
Submission Date October 18, 2019
Published in Issue Year 2021

Cite

APA Odaman Kaya, H., & Altın, M. (2021). A Model for Designing Climate Adaptive Shading Devices: The Case of Bayrakli Tower. Politeknik Dergisi, 24(4), 1419-1431. https://doi.org/10.2339/politeknik.634771
AMA Odaman Kaya H, Altın M. A Model for Designing Climate Adaptive Shading Devices: The Case of Bayrakli Tower. Politeknik Dergisi. December 2021;24(4):1419-1431. doi:10.2339/politeknik.634771
Chicago Odaman Kaya, Hande, and Müjde Altın. “A Model for Designing Climate Adaptive Shading Devices: The Case of Bayrakli Tower”. Politeknik Dergisi 24, no. 4 (December 2021): 1419-31. https://doi.org/10.2339/politeknik.634771.
EndNote Odaman Kaya H, Altın M (December 1, 2021) A Model for Designing Climate Adaptive Shading Devices: The Case of Bayrakli Tower. Politeknik Dergisi 24 4 1419–1431.
IEEE H. Odaman Kaya and M. Altın, “A Model for Designing Climate Adaptive Shading Devices: The Case of Bayrakli Tower”, Politeknik Dergisi, vol. 24, no. 4, pp. 1419–1431, 2021, doi: 10.2339/politeknik.634771.
ISNAD Odaman Kaya, Hande - Altın, Müjde. “A Model for Designing Climate Adaptive Shading Devices: The Case of Bayrakli Tower”. Politeknik Dergisi 24/4 (December 2021), 1419-1431. https://doi.org/10.2339/politeknik.634771.
JAMA Odaman Kaya H, Altın M. A Model for Designing Climate Adaptive Shading Devices: The Case of Bayrakli Tower. Politeknik Dergisi. 2021;24:1419–1431.
MLA Odaman Kaya, Hande and Müjde Altın. “A Model for Designing Climate Adaptive Shading Devices: The Case of Bayrakli Tower”. Politeknik Dergisi, vol. 24, no. 4, 2021, pp. 1419-31, doi:10.2339/politeknik.634771.
Vancouver Odaman Kaya H, Altın M. A Model for Designing Climate Adaptive Shading Devices: The Case of Bayrakli Tower. Politeknik Dergisi. 2021;24(4):1419-31.
 
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