Lifecycle Building Cost and Carbon Impact Analysis and Visualization: Design Sampling and Predictive Modeling
Abstract
($) and carbon impact (kgCO2eq). The workflow can analyze conceptual geometries in the early design stage when there is limited information. By following recommended ranges of numerical attributes and options of categorical attributes, the workflow helps save on average 15%
on cost and 25% on carbon impact. Cutting-edge technologies are applied including design sampling, predictive modeling, data analysis and
visualization.
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[1] Gabriele Lobaccaro, et al."Parametric design to minimize the embodied GHG emissions in a ZEB."Energy & Buildings 167.(2018):106-
123.
[2] Ghattas, R., & Miller, T. R. (2015). The decision-making process in the design of residential structures. Engineering, Environmental Science. https://api.semanticscholar.org/CorpusID:114938526.
[3] Roberts M, Allen S, Coley D. Life cycle assessment in the building design process A systematic literature review[J]. Building and Environment, 2020.
[4] Joshua Hester, et al."Building design-space exploration through quasi-optimization of life cycle impacts and costs."Building and Environment 144.(2018):34-44.
[5] Joshua Hester, Jeremy Gregory, and Randolph Kirchain."Sequential early-design guidance for residential single-family buildings using a
probabilistic metamodel of energy consumption."Energy & Buildings 134.(2017):202-211.
[6] Nathan C Brown, and Caitlin T Mueller."Design variable analysis and generation for performance-based parametric modeling in
architecture."International Journal of Architectural Computing 17.1(2019):36-52.
[7] Clemens Preisinger."Linking Structure and Parametric Geometry."Architectural Design 83.2(2013):110-113.
DOI: http://dx.doi.org/10.70711/frim.v3i12.7881
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