Evaluating the Impact of Climate Change on HVAC Energy Profiles of Residential Dorms Using Generative Adversarial Network

Pratik Raj Pandey, Bing Dong

Research output: Chapter in Book/Entry/PoemConference contribution

Abstract

The global climate change is poised to increase the global temperatures in near future. It is estimated that the average global temperatures are expected to increase by 0.50 °F (0.28 °C) to 8.60 °F (4.78 °C) by the year 2100. Climate change is also responsible for the change of weather patterns and extreme events across the globe. This can have implications on preliminary HVAC systems design as it can be over/undersized resulting in discomfort or decreased energy efficiency. We purpose to create a Generative Adversarial Network (GAN) model to generate the HVAC energy usage profile of the residential dorms during the heating months. Multiple generative models for both before and after the building energy retrofit are created. The discriminators are trained using the real HVAC data obtained from seven residential dorms located in Syracuse, NY, both before and after the retrofit. The model also takes month of the year and outdoor temperature as inputs. It is essential to take month as an input variable as college dorms remain empty during holidays. The generated HVAC load is validated using the methodologies established in earlier studies. The future Typical Meteorological Year (fTMY) file developed by Oak Ridge National Laboratory (ORNL) is used as an input to the validated GAN models to generate the future HVAC energy consumption. The generated results from both models will help to quantify the potential energy savings from building retrofit in the future.

Original languageEnglish (US)
Title of host publicationMultiphysics and Multiscale Building Physics - Proceedings of the 9th International Building Physics Conference IBPC 2024
Subtitle of host publicationUrban Physics and Energy Efficiency
EditorsUmberto Berardi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages264-271
Number of pages8
ISBN (Print)9789819783083
DOIs
StatePublished - 2025
Externally publishedYes
Event9th International Building Physics Conference, IBPC 2024 - Toronto, Canada
Duration: Jul 25 2024Jul 27 2024

Publication series

NameLecture Notes in Civil Engineering
Volume553 LNCE
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference9th International Building Physics Conference, IBPC 2024
Country/TerritoryCanada
CityToronto
Period7/25/247/27/24

Keywords

  • Climate Change
  • Future Weather
  • GAN
  • Generative Adversarial Network
  • HVAC Energy

ASJC Scopus subject areas

  • Civil and Structural Engineering

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