Environmental Performance Assessment - The Optimisation of High-Rises in Vienna

Serjoscha Benjamin Düring (Vortragende:r), Theresa Rosina Fink, Angelos Chronis, Reinhard König

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

Our cities are facing different kinds of challenges - in parallel to the urban transformation and densification, climate targets and objectives of decision-makers are on the daily agenda of planning. Therefore, the planning of new neighbourhoods and buildings in high-density areas is complex in many ways. It requires intelligent processes that automate specific aspects of planning and thus enable impact-oriented planning in the early phases. The impacts on environment, economy and society have to be considered for a sustainable planning result in order to make responsible decisions. The objective of this paper is to explore pathways towards a framework for the environmental performance assessment and the optimisation of high-rise buildings with a particular focus on processing large amounts of data in order to derive actionable insights. A development area in the urban centre of Vienna serves as case study to exemplify the potential of automated model generation and applying ML algorithm to accelerate simulation time and extend the design space of possible solutions. As a result, the generated designs are screened on the basis of their performance using a Design Space Exploration approach. The potential for optimisation is evaluated in terms of their environmental impact on the immediate environment.
OriginalspracheEnglisch
TitelPOST-CARBON - Proceedings of the 27th CAADRIA Conference
Redakteure/-innenJeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Urvi Sheth
Seiten545-554
Seitenumfang10
DOIs
PublikationsstatusVeröffentlicht - 2022
VeranstaltungCAADRIA 2022 -
Dauer: 9 Apr. 202215 Apr. 2022

Konferenz

KonferenzCAADRIA 2022
Zeitraum9/04/2215/04/22

Research Field

  • Ehemaliges Research Field - Integrated Digital Urban Planning

Schlagwörter

  • imulation
  • prediction and evaluation
  • machine learning
  • computational modelling
  • digital design
  • high-rises
  • SGD 11
  • SDG 13

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