Sustainability through Optimal Design of Buildings for Natural Ventilation using Updated Comfort and Occupancy Models

Jihoon Chung; Nastaran Shahmansouri; Rhys Goldstein; James Stoddart; John Locke

Sustainability through Optimal Design of Buildings for Natural Ventilation using Updated Comfort and Occupancy Models

Computational Engineering, Finance, and Science 2023-12-12 v1 Systems and Control Systems and Control

Authors: Jihoon Chung , Nastaran Shahmansouri , Rhys Goldstein , James Stoddart , John Locke

Abstract

This paper explores the benefits of incorporating natural ventilation (NV) simulation into a generative process of designing residential buildings to improve energy efficiency and indoor thermal comfort. Our proposed workflow uses the Wave Function Collapse algorithm to generate a diverse set of plausible floor plans. It also includes post-COVID occupant presence models while incorporating adaptive comfort models. We conduct four sets of experiments using the workflow, and the simulated results suggest that multi-mode cooling strategies combining conventional air conditioning with NV can often significantly reduce energy use while introducing only slight reductions in thermal comfort.

Keywords

natural ventilation generative design building energy efficiency thermal comfort adaptive comfort model occupancy model Wave Function Collapse

Cite

@article{arxiv.2312.06498,
  title  = {Sustainability through Optimal Design of Buildings for Natural Ventilation using Updated Comfort and Occupancy Models},
  author = {Jihoon Chung and Nastaran Shahmansouri and Rhys Goldstein and James Stoddart and John Locke},
  journal= {arXiv preprint arXiv:2312.06498},
  year   = {2023}
}

Comments

12 pages, 14 figures

Sustainability through Optimal Design of Buildings for Natural Ventilation using Updated Comfort and Occupancy Models

Abstract

Keywords

Cite

Comments

Related papers