Combined gis, cfd and neural network multi-zone model for urban planning and building simulation

Meng Kong, Mingshi Yu, Ning Liu, Peng Gao, Yanzhi Wang, Jianshun Zhang

Research output: Chapter in Book/Entry/PoemConference contribution

3 Scopus citations

Abstract

This study developed a methodology using Geographic Information System (GIS), Computational Fluid Dynamics (CFD) and neural network to help predict the microclimate of the building. The geographic representation of an urban area in Syracuse generated in GIS was converted to the computational domain used in CFD simulation. The flow field around the building was simulated using the CFD model under different wind speeds and directions. Results from CFD simulation could be well presented in GIS using anchored coordinate system. The flow patterns were very similar when the wind speed was varied, while they were highly dependent on the wind directions. However, predicting the flow fields of different wind directions requires running the CFD simulation for each case. A neural network for machine learning was adopted to help predict the microclimate around the building so that much time can be saved. The results show that the proposed neural network has the potential to help predict the microclimate. The predicted microclimate could be used for further study of the building performance.

Original languageEnglish (US)
Title of host publication15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017
EditorsCharles S. Barnaby, Michael Wetter
PublisherInternational Building Performance Simulation Association
Pages2392-2397
Number of pages6
ISBN (Electronic)9781510870673
DOIs
StatePublished - 2017
Event15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017 - San Francisco, United States
Duration: Aug 7 2017Aug 9 2017

Publication series

NameBuilding Simulation Conference Proceedings
Volume5
ISSN (Print)2522-2708

Conference

Conference15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017
Country/TerritoryUnited States
CitySan Francisco
Period8/7/178/9/17

ASJC Scopus subject areas

  • Building and Construction
  • Architecture
  • Modeling and Simulation
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Combined gis, cfd and neural network multi-zone model for urban planning and building simulation'. Together they form a unique fingerprint.

Cite this