ANALYSIS OF THE PERFORMANCE OPTIMIZATION PROCESS OF HOUSING UNITS USING HONEYBEE

Authors

  • Íris Loche Universidade Estadual de Campinas
  • Joyce Correna Carlo Universidade Federal de Viçosa

DOI:

https://doi.org/10.4013/arq.2021.172.03

Abstract

The Simulation-Based Optimization (SBO) method differs from conventional design methodology, as its main focus is the building’s performance, without failing to take into account the traditional aspects of design. When associated with parameterization, it can be explored to create solutions appropriated for specific shape and performance criteria. This method is achievable through the interoperability between digital performance and modeling software, such as Grasshopper, a parametric modeling plug-in for Rhinoceros, and HoneyBee, a plug-in for Grasshopper that connects the parameterized model to Energy Plus. Octopus is a plug-in connected to Grasshopper that allows trade-offs between variables to be combined by genetic algorithms and indicates modifications to the model based on the data provided. This study aims to analyze the thermal performance optimization process of an autonomous housing unit through the SBO method. Shape variation parameters were evaluated in function of thermal performance criteria depending on two objectives: reducing the cooling and heating degree-hours. The results enabled the shape analysis of the models and the identification of predominant characteristics of best and worst solutions for winter and summer conditions, as well as a study of simulation controlling termination criteria.

Keywords: Parameterization, Thermal Performance,  Simulation-based Optimization; Grasshopper; Octopus

Downloads

Published

2021-09-21

How to Cite

Loche, Íris ., & Carlo, J. C. (2021). ANALYSIS OF THE PERFORMANCE OPTIMIZATION PROCESS OF HOUSING UNITS USING HONEYBEE. Arquitetura Revista, 17(2), 219–234. https://doi.org/10.4013/arq.2021.172.03

Issue

Vol. 17 No. 2 (2021): JUL-DEZ

Section

Articles

License

I grant the journal Arquiteturarevista the first publication of my article, licensed under Creative Commons Attribution license (which allows sharing of work, recognition of authorship and initial publication in this journal).

I also take full responsibility for the copyright of images, photos and data included in the submitted work. I confirm that my article is not being submitted to another publication and has not been published in its entirely on another journal. I take full responsibility for its originality and I will also claim responsibility for charges from claims by third parties concerning the authorship of the article, its data and images.

I am responsible for approval in the specific ethics boards for each purpose, whenever necessary.