Application of Surrogate Models for Building Envelope Design Exploration and Optimization

Application of Surrogate Models for Building Envelope Design Exploration and Optimization

Yang, D. (TU Delft Design Informatics; South China University of Technology)
Sileryte, R. (TU Delft Design Informatics)
D'Aquilio, A. (TU Delft Design Informatics)
Turrin, M. (TU Delft Design Informatics; South China University of Technology)

Attar, Ramtin (editor)
Chronis, Angelos (editor)
Hanna, Sean (editor)
Turrin, Michela (editor)

2016

Building performance simulations are usually timeconsuming. They may account for the major portion of time spent in Computational Design Optimization (CDO), for instance, annual hourly daylight and energy simulations. In this case, the optimization may become less efficient or even infeasible within a limited time frame of real-world projects, due to the computationally expensive simulations. To handle the problem, this research aims to investigate the potentials of surrogate models (i.e. Response Surface
Methodology - RSM) to be used in the building envelope design exploration and optimization that consider visual and energy performance. Specifically, the work investigates how, and to what extent, 1) problem scales may affect the application of RSM, and 2) different ways of using RSM may affect the quality of Pareto Front approximations. Thus, a series of multi-objective optimization tests are carried out; preliminary discussion is made based on the current results.

multi-objective optimization
building envelope
urrogate models
design of experiments (DoE)
response surface methodology (RSM)

http://resolver.tudelft.nl/uuid:a3fe57bc-a054-4960-88f5-0eb2f36d327b

simAUD

978-1-365-05872-1

Proceedings of the Symposium on Simulation for Architecture and Urban Design (simAUD 2016)

SimAUD EU 2016: 7th annual Symposium on Simulation for Architecture and Urban Design, 2016-05-16 → 2016-05-18, London, United Kingdom

Institutional Repository

conference paper

© 2016 D. Yang, R. Sileryte, A. D'Aquilio, M. Turrin