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Towards data-driven sustainable design : decision support based on knowledge discovery in disparate building data

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Abstract
Sustainable building design requires an interplay between multidisciplinary input and fulfilment of diverse criteria to align into one high-performing whole. BIM has already brought a profound change in that direction, by allowing execution of efficient collaborative workflows. However, design decision-making still relies heavily on rules of thumb and previous experiences, and not on sound evidence. To improve the design process and effectively build towards a sustainable future, we need to rely on the multiplicity of data available from our existing building stock. The objective of this research is, therefore, to transform existing data, discover new knowledge and inform future design decision-making in an evidence-based manner. This article looks specifically into this task by (1) outlining and distinguishing between the diverse building data sources and types, (2) indicating how the data can be analysed, (3) demonstrating how the discovered knowledge can be implemented in a semantic integration layer and (4) how it can be brought back to design professionals through the design aids they use. We, therefore, propose a performance-oriented design decision support system, relying on BIM, data mining and semantic data modelling, thereby allowing customized information retrieval according to a defined goal.
Keywords
BIM, sustainability, building design, semantics, data mining, pattern recognition, knowledge discovery, information retrieval

Citation

Please use this url to cite or link to this publication:

Chicago
Petrova, Ekaterina, Pieter Pauwels, Kjeld Svidt, and Rasmus Lund Jensen. 2018. “Towards Data-driven Sustainable Design : Decision Support Based on Knowledge Discovery in Disparate Building Data.” Architectural Engineering and Design Management: 1–23.
APA
Petrova, E., Pauwels, P., Svidt, K., & Jensen, R. L. (2018). Towards data-driven sustainable design : decision support based on knowledge discovery in disparate building data. ARCHITECTURAL ENGINEERING AND DESIGN MANAGEMENT, 1–23.
Vancouver
1.
Petrova E, Pauwels P, Svidt K, Jensen RL. Towards data-driven sustainable design : decision support based on knowledge discovery in disparate building data. ARCHITECTURAL ENGINEERING AND DESIGN MANAGEMENT. Informa UK Limited; 2018;1–23.
MLA
Petrova, Ekaterina et al. “Towards Data-driven Sustainable Design : Decision Support Based on Knowledge Discovery in Disparate Building Data.” ARCHITECTURAL ENGINEERING AND DESIGN MANAGEMENT (2018): 1–23. Print.
@article{8576830,
  abstract     = {Sustainable building design requires an interplay between multidisciplinary input and fulfilment of diverse criteria to align into one high-performing whole. BIM has already brought a profound change in that direction, by allowing execution of efficient collaborative workflows. However, design decision-making still relies heavily on rules of thumb and previous experiences, and not on sound evidence. To improve the design process and effectively build towards a sustainable future, we need to rely on the multiplicity of data available from our existing building stock. The objective of this research is, therefore, to transform existing data, discover new knowledge and inform future design decision-making in an evidence-based manner. This article looks specifically into this task by (1) outlining and distinguishing between the diverse building data sources and types, (2) indicating how the data can be analysed, (3) demonstrating how the discovered knowledge can be implemented in a semantic integration layer and (4) how it can be brought back to design professionals through the design aids they use. We, therefore, propose a performance-oriented design decision support
system, relying on BIM, data mining and semantic data modelling, thereby allowing customized information retrieval according to a defined goal.},
  author       = {Petrova, Ekaterina and Pauwels, Pieter and Svidt, Kjeld and Jensen, Rasmus Lund},
  issn         = {1745-2007},
  journal      = {ARCHITECTURAL ENGINEERING AND DESIGN MANAGEMENT},
  language     = {eng},
  pages        = {1--23},
  publisher    = {Informa UK Limited},
  title        = {Towards data-driven sustainable design : decision support based on knowledge discovery in disparate building data},
  url          = {http://dx.doi.org/10.1080/17452007.2018.1530092},
  year         = {2018},
}

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