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Environmental Performance-Driven Urban Design: Parametric Design Method for the Integration of Daylight and Urban Comfort Analysis in Cold Climates

  • Francesco De LucaEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1028)

Abstract

Shape of built environment and image of cities are significantly influenced by environmental factors such as access to natural light, air temperature and wind. Adequate quantity of daylight in building interiors is important for occupant wellbeing and energy saving. In Estonia minimum quantity of daylight is required by building standards. Wind speed increased by urban environment at northern latitudes can significantly reduce pedestrian perceived temperature during winter inducing strong cold stress. This paper presents a method for the integration of parametric modeling and environmental simulations to analyze interiors and exteriors comfort of tower building cluster variations in different urban areas in Tallinn. Optimal pattern characteristics such as buildings distance and alignment favoring improvement of interiors daylight and decrease of pedestrian cold stress are presented and discussed.

Keywords

Daylight Urban comfort Environmental analysis Performance-driven urban design Parametric design 

Notes

Acknowledgements

The research has been supported by the European Regional Development Fund grant ZEBE 2014-2020.4.01.15-0016.

References

  1. 1.
    Butti, K., Perlin, J.: A Golden Thread: 2500 Years of Solar Architecture and Technology. Cheshire Books, Palo Alto (1980)Google Scholar
  2. 2.
    Morgan, M.H.: Vitruvius. The Ten Books on Architecture. Translation of Marcus Vitruvius Pollio: De Architectura (15 BC). Harvard University Press, Cambridge (1914)Google Scholar
  3. 3.
    Krautheim, M., Pasel, R., Pfeiffer, S., Schultz-Granberg, J.: City and Wind: Climate as an Architectural Instrument. DOM Publishers, Berlin (2014)Google Scholar
  4. 4.
    Willis, C.: Form Follows Finance: Skyscrapers and Skylines in New York and Chicago. Princeton Architectural Press, New York (1995)Google Scholar
  5. 5.
    Howard, D.: The future of ancient light. J. Arch. Plan. Res. 6(2), 132–153 (1989)Google Scholar
  6. 6.
    Andersen, M., Mardaljevic, J., Lockley, S.M.: A framework for predicting the non-visual effects of daylight – Part I. Light. Res. Technol. 44(1), 37–53 (2012)CrossRefGoogle Scholar
  7. 7.
    Reinhart, C.F.: Daylighting Handbook I: Fundamentals Designing with the Sun. Building Technology Press, Cambridge (2014)Google Scholar
  8. 8.
    De Luca, F.: Solar form finding: subtractive solar envelope and integrated solar collection computational method for high-rise buildings in urban environments. In: Disciplines and Disruption - Proceedings Catalog of the 37th Annual Conference of the Association for Computer Aided Design in Architecture, ACADIA 2017, pp. 212–221, Cambridge (2017)Google Scholar
  9. 9.
    Estonian Centre for Standardization: Standard 894:2008/A2:2015. EVS, Tallinn (2015)Google Scholar
  10. 10.
    Voll, H., De Luca, F., Pavlovas, V.: Analysis of the insolation criteria for nearly-zero energy buildings in Estonia. Sci. Technol. Built Environ. 22(7), 939–950 (2016)CrossRefGoogle Scholar
  11. 11.
    Voll, H., Thalfeldt, M., De Luca, F., Kurnitski, J., Olesk, T.: Urban planning principles of nearly-zero energy residential buildings in Estonia. Manag. Environ. Qual.: Int. J. 27(6), 634–648 (2016)CrossRefGoogle Scholar
  12. 12.
    Ebrahimabadi, S., Nilsson, K.L., Johansson, C.: The problems of addressing microclimate factors in urban planning of the subarctic regions. Environ. Plan. B: Plan. Des. 42, 415–430 (2015)CrossRefGoogle Scholar
  13. 13.
    Shishegar, N.: Street design and urban microclimate: analyzing the effects of street geometry and orientation on airflow and solar access in urban canyons. J. Clean Energy Technol. 1(1), 52–56 (2013)CrossRefGoogle Scholar
  14. 14.
    Gendemer, J.: Discomfort Due to Wind Near Buildings: Aerodynamic Concepts. U.S. Department of Commerce/National Bureau of Standards, Washington (1978)Google Scholar
  15. 15.
    Hyungkeun, K., Kyungsoo, L., Taeyeon, K.: Investigation of pedestrian comfort with wind chill during winter. Sustainability 10(1), 274–286 (2018)CrossRefGoogle Scholar
  16. 16.
    Osczevski, R., Bluestein, M.: The new wind chill equivalent temperature chart. Bull. Am. Meteorol. Soc. 86(10), 1453–1458 (2005)CrossRefGoogle Scholar
  17. 17.
    Bröde, P., Jendritzky, G., Fiala, D., Havenith, G.: The universal thermal climate index UTCI in operational use. In: Proceedings of Adapting to Change: New Thinking on Comfort, Windsor (2010)Google Scholar
  18. 18.
    Grasshopper. http://www.grasshopper3d.com. Accessed 28 Mar 2019
  19. 19.
    DIVA. http://solemma.net. Accessed 28 Mar 2019
  20. 20.
    Sadeghipour, M., Pak, M.: Ladybug: a parametric environmental plugin for grasshopper to help designers create an environmentally-conscious design. In: Proceedings of IBPSA 2013, pp. 3128–3135, Chambéry (2013)Google Scholar
  21. 21.
    Swift. https://www.ods-engineering.com/Accessed 28 Mar 2019
  22. 22.
    Franke, J., Hellsten, A., Schlünzen, H., Carissimo, B.: Best Practice Guideline for the CFD Simulation of Flows in the Urban Environment. COST Office, Brussels (2007)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Tallinn University of TechnologyTallinnEstonia

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