The Interactive Indoor-Outdoor Building Energy Modeling for Enhancing the Predictions of Urban Microclimates and Building Energy Demands: Article No. 111059

Liping Wang, Lichen Wu, Leslie Norford, Amir Aliabadi, Edwin Lee

Research output: Contribution to journalArticlepeer-review

2 Scopus Citations

Abstract

There is a lack of an urban building energy modeling framework that considers the influence of surrounding buildings and local urban climate on building thermal performance. This can lead to inaccurate results since the thermal performance of individual buildings is heavily influenced by their surrounding built and climatic environment. This study establishes an interactive indoor-outdoor building energy modeling method to enhance the predictions of urban microclimates and building energy demands by coupling an urban physics model with a physics-based building energy model. Validation of the interactive coupling scheme uses field measurement datasets. Parametric simulation and analysis are conducted to understand the influence of the roof-to-canyon width ratio, canyon orientation, and ground vegetation fraction on canyon temperature, building energy consumption, and energy demand. Furthermore, the impacts of building energy model complexity (e.g., detailed vs. simplified building models) and coupling approaches on canyon temperature and building energy profiles are demonstrated using two case study buildings. In comparison with the one-way coupling approach, cooling energy consumption predicted with the dynamic two-way coupling approach varies by 3.5% and 0.5% for the detailed medium office building model and high-rise building model, respectively, and peak cooling demand varies by 8.4% and 7.0% for the detailed medium office building model and high-rise building model, respectively. This study also suggests that adopting a complex two-way coupling approach with environmental data exchange at various elevations is necessary for modeling tall buildings at the urban scale.
Original languageAmerican English
Number of pages13
JournalBuilding and Environment
Volume248
DOIs
StatePublished - 2024

NREL Publication Number

  • NREL/JA-5500-88641

Keywords

  • building energy model
  • coupling
  • microclimate

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