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

9 Citations (Scopus)

Abstract

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
PublisherAmer. Soc. Heating, Ref. Air-Conditoning Eng. Inc.
Pages397-405
Number of pages9
Volume120
EditionPART 1
ISBN (Print)9781936504701
StatePublished - 2014
Event2014 ASHRAE Winter Conference - New York, NY, United States
Duration: Jan 18 2014Jan 22 2014

Other

Other2014 ASHRAE Winter Conference
CountryUnited States
CityNew York, NY
Period1/18/141/22/14

Fingerprint

Monitoring
Temperature
Acoustic waves
Network protocols
Statistical Models

ASJC Scopus subject areas

  • Mechanical Engineering
  • Building and Construction

Cite this

Singh, V., Reddy, T. A., & Abushakra, B. (2014). Predicting annual energy use in buildings using short-term monitoring: The dry-bulb temperature analysis (DBTA) method. In ASHRAE Transactions (PART 1 ed., Vol. 120, pp. 397-405). Amer. Soc. Heating, Ref. Air-Conditoning Eng. Inc..

Predicting annual energy use in buildings using short-term monitoring : The dry-bulb temperature analysis (DBTA) method. / Singh, Vipul; Reddy, T Agami; Abushakra, Bass.

ASHRAE Transactions. Vol. 120 PART 1. ed. Amer. Soc. Heating, Ref. Air-Conditoning Eng. Inc., 2014. p. 397-405.

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

Singh, V, Reddy, TA & Abushakra, B 2014, Predicting annual energy use in buildings using short-term monitoring: The dry-bulb temperature analysis (DBTA) method. in ASHRAE Transactions. PART 1 edn, vol. 120, Amer. Soc. Heating, Ref. Air-Conditoning Eng. Inc., pp. 397-405, 2014 ASHRAE Winter Conference, New York, NY, United States, 1/18/14.
Singh V, Reddy TA, Abushakra B. Predicting annual energy use in buildings using short-term monitoring: The dry-bulb temperature analysis (DBTA) method. In ASHRAE Transactions. PART 1 ed. Vol. 120. Amer. Soc. Heating, Ref. Air-Conditoning Eng. Inc. 2014. p. 397-405
Singh, Vipul ; Reddy, T Agami ; Abushakra, Bass. / Predicting annual energy use in buildings using short-term monitoring : The dry-bulb temperature analysis (DBTA) method. ASHRAE Transactions. Vol. 120 PART 1. ed. Amer. Soc. Heating, Ref. Air-Conditoning Eng. Inc., 2014. pp. 397-405
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