Sensitivity analysis and optimization of a typical passively designed residential building with hybrid ventilation in hot and humid climates

Xi Chen, Hongxing Yang

Research output: Journal article publicationConference articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Passive design strategies are preferable for constructing low-energy buildings given their significant influences on the building energy consumption. The building layout, envelop thermophysics, building geometry and infiltration & air-tightness are major considerations of the passive design to achieve building sustainability. In this paper, modelling experiments on a generic residential building in hot and humid climates are conducted to integrate a robust variance-based sensitivity analyses with an early-stage design optimization process. Daylight, ventilation and thermal conditions are simulated with EnergyPlus to obtain the total lighting and cooling energy consumption under the hybrid ventilation and daylight dimming control algorithm. The non-dominated sorting genetic algorithm (NSGA-II) is then coupled with the modelling experiment to obtain the Pareto frontier as well as the final optimum solution. Furthermore, different settings of NSGA-II are investigated to improve the computational efficiency of the optimization process. Findings from this study will guide decision-makers through a holistic optimization process for energy-saving targets in a passively designed green building.
Original languageEnglish
Pages (from-to)1781-1786
Number of pages6
JournalEnergy Procedia
Volume142
DOIs
Publication statusPublished - 1 Jan 2017
Event9th International Conference on Applied Energy, ICAE 2017 - Cardiff, United Kingdom
Duration: 21 Aug 201724 Aug 2017

Keywords

  • Green building
  • NSGA-II
  • Optimization
  • Passive design
  • Sensitivity analysis

ASJC Scopus subject areas

  • Energy(all)

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