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supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id caadria2019_093
authors Shahsavari, Fatemeh, Koosha, Rasool and Yan, Wei
year 2019
title Uncertainty and Sensitivity Analysis Using Building Information Modeling - (An Energy Analysis Test Case)
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 615-624
summary Building design decision-making is associated with uncertainties due to variations over time and unpredictable parameters. There is a growing demand for probabilistic methods, i.e., uncertainty and sensitivity analyses to handle the uncertainties in building design. This research intends to encourage the application of Building Information Modeling (BIM) for addressing design uncertainties affecting building energy performance. The mapping between BIM (Revit and Dynamo) and a customized model-based energy analysis tool in Excel is investigated to translate architectural models to energy models and conduct the probabilistic analyses. The application of this method is demonstrated with a test case of a hypothetical residential unit in College Station, Texas, USA. Input variables in this example are the thermal properties of building elements, and the two simulation outputs are annual heating and cooling energy consumption, and deviation from comfort temperature. The results indicate the probability distribution of simulation outputs and the importance factor of each design input. This method deals with uncertainties and provides a more reliable and robust basis for design decision-making.
keywords building design decision-making ; Building Information Modeling (BIM); Parametric design; Uncertainty and sensitivity analysis; Building performance analysis
series CAADRIA
email fatemeh.shahsavari@tamu.edu
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100%; open Asl, MR, Stoupine, A, Zarrinmehr, S and Yan, W (2015) Find in CUMINCAD Optimo?: A BIM-Based Multi-Objective Optimization Tool Utilizing Visual Programming for High Performance Building Design , Proceedings of eCAADe 2015, pp. 673-682

100%; open Bordbari, MJ, Seifi, AR and Rastegar, M (2018) Find in CUMINCAD Probabilistic Energy Consumption Analysis in Buildings Using Point Estimate Method , Energy, 142, pp. 716-722

100%; open Delgarm, N, Sajadi, B, Azarbad, K and Delgarm, S (2018) Find in CUMINCAD Sensitivity Analysis of Building Energy Performance: A Simulation-Based Approach Using OFAT and Variance-Based Sensitivity Analysis Methods , Journal of Building Engineering, 15, pp. 181-193

100%; open Du, J, Zou, Z, Shi, Y and Zhau, D (2018) Find in CUMINCAD Zero Latency: Real-Time Synchronization of BIM Data in Virtual Reality for Collaborative Decision-Making , Automation in Construction, 85, pp. 51-64

100%; open Lim, Y, Shahsavari, F, Azli, F, Ossen, D and Ahmad, M (2015) Find in CUMINCAD Developing a BIM-Based Process-Driven Decision-Making Framework for Sustainable Building Envelope Design in the Tropics , International Conference on Building Information Modelling (BIM) in Design, Construction and Operations, Bristol

100%; open MacDonald, IA (2002) Find in CUMINCAD Quantifying the Effects of Uncertainty in Building Simulation , Ph.D. Thesis, University of Strathclyde

100%; open Ott, RL and Longnecker, MT (2015) Find in CUMINCAD An Introduction to Statistical Methods and Data Analysis , Nelson Education

100%; open Rezaee, R, Brown, J, Augenbroe, G and Kim, J (2015) Find in CUMINCAD A New Approach to the Integration of Energy Assessment Tools in CAD for Early Stage of Design Decision-Making Considering Uncertainty , Proceedings of the 10th European Conference on Product and Process Modelling, ECPPM, pp. 367-373

100%; open Shahsavari, F, Koosha, R, Vahid, MR, Yan, W and Clayton, MJ (2018) Find in CUMINCAD Towards the Application of Uncertainty Analysis in Architectural Design Decision-Making, (A Probabilistic Model and Applications) , Proceedings of eCAADe 2018, Lodz, Poland, pp. 295-304

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