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

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 pla...

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Bibliographic Details
Published inarXiv.org
Main Authors Chung, Jihoon, Shahmansouri, Nastaran, Goldstein, Rhys, Stoddart, James, Locke, John
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 11.12.2023
Subjects
Air conditioning
Algorithms
Building design
Energy consumption
Residential buildings
Residential energy
Thermal comfort
Ventilation
Wave functions
Workflow
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Summary: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.
ISSN:2331-8422