Application of Surrogate Models for Building Envelope Design Exploration and Optimization

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Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the Symposium on Simulation for Architecture and Urban Design (simAUD 2016)
EditorsRamtin Attar, Angelos Chronis, Sean Hanna, Michela Turrin
PublishersimAUD
Pages11-14
ISBN (Print)978-1-365-05872-1
Publication statusPublished - 2016
EventSimAUD EU 2016: 7th annual Symposium on Simulation for Architecture and Urban Design - London, United Kingdom
Duration: 16 May 201618 May 2016

Conference

ConferenceSimAUD EU 2016: 7th annual Symposium on Simulation for Architecture and Urban Design
CountryUnited Kingdom
CityLondon
Period16/05/1618/05/16

Keywords

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

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    Yang, D., Šileryte, R., D'Aquilio, A., & Turrin, M. (2016). Application of Surrogate Models for Building Envelope Design Exploration and Optimization. In R. Attar, A. Chronis, S. Hanna, & M. Turrin (Eds.), Proceedings of the Symposium on Simulation for Architecture and Urban Design (simAUD 2016) (pp. 11-14). simAUD.