Case study of applying different energy use modeling methods to commissioning

Bin Yan, Ali M. Malkawi, Yun Kyu Yi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Various building energy use modeling methods have been applied to existing buildings in order to understand building energy performance and improve energy efficiency. There are widely used models based on physical principles and historical data. This study has used temperature-based regression, artificial neural network and EnergyPlus models to predict energy use of a laboratory building. The paper discusses the accuracy of different methods when predicting short-term and long-term whole building energy use. It also discusses the feasibility and limitation of analyzing component level energy use and evaluating energy savings potential.

Original languageEnglish (US)
Title of host publicationProceedings of Building Simulation 2011
Subtitle of host publication12th Conference of International Building Performance Simulation Association
Pages743-749
Number of pages7
StatePublished - Dec 1 2011
Event12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011 - Sydney, NSW, Australia
Duration: Nov 14 2011Nov 16 2011

Other

Other12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011
CountryAustralia
CitySydney, NSW
Period11/14/1111/16/11

ASJC Scopus subject areas

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

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