Predicting annual energy use in buildings using short-term monitoring: The dry-bulb temperature analysis (DBTA) method

Vipul Singh, T Agami Reddy, Bass Abushakra

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

17 Scopus citations


This paper summarizes findings of a recently completed ASHRAE research project (RP-1404) meant to develop and assess methods by which short-term in-situ monitoring of building energy use can be used as a workable alternative to yearlong data collection in monitoring and verification (M&V) projects. A new and simple approach, called the Dry-Bulb Temperature Analysis (DBTA) method, is proposed which, based on dry-bulb ambient temperature data alone, allows one to design a sound short-term monitoring protocol for verifying annual savings from M&V projects. It provides insights into how a model identified from a data period initiated at a certain month of the year and covering a specified number of months is likely to fare in terms of annual predictive ability. The DBTA approach can be used to identify the best two to three months of the year that would provide a data set rich enough for inverse statistical models to be identified, resulting in accurate daily predictions over the whole year. Finally, the DBTA approach can also be used in M&V projects that are constrained to start monitoring at a specific time of the year, wherein the intent is to determine the least monitoring length needed to obtain accurate predictive models.

Original languageEnglish (US)
Title of host publicationASHRAE Transactions - ASHRAE Winter Conference
Number of pages9
EditionPART 1
ISBN (Print)9781936504701
StatePublished - 2014
Event2014 ASHRAE Winter Conference - New York, NY, United States
Duration: Jan 18 2014Jan 22 2014

Publication series

NameASHRAE Transactions
NumberPART 1
ISSN (Print)0001-2505


Other2014 ASHRAE Winter Conference
Country/TerritoryUnited States
CityNew York, NY

ASJC Scopus subject areas

  • Building and Construction
  • Mechanical Engineering


Dive into the research topics of 'Predicting annual energy use in buildings using short-term monitoring: The dry-bulb temperature analysis (DBTA) method'. Together they form a unique fingerprint.

Cite this