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Optimizing a parametric energy model for use in citywide residential overheating analysis

  • University of Hartford

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

City-wide urban building energy modeling may help estimate which residential buildings in a city are at risk of occupant overheating during a heat wave. Six parametric energy modeling methods are presented for use in an automated analysis to generate energy models using existing building information or GIS data. An evaluation of the six methods generates models that mimic detailed energy models for three existing homes in Cleveland, Ohio, USA. A comparison of parametric to detailed models using R2 and CV-RMSE indicates that five out of six models adequately represent the detailed models when analyzing operative temperature and wetbulb globe temperature.

Original languageEnglish
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
Pages2283-2292
Number of pages10
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 2017 → Aug 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
Period08/7/17 → 08/9/17

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