accuris store logo
  • Browse all
  • 3A
  • 9000
  • A3
  • A4A
  • AA
  • AAMI
  • AASHTO
  • AATCC
  • ABCB
  • ABMA
  • ABMA-BOILER
  • ACC
  • ACGIH
  • ACI
  • ADA
  • ADS
  • AEIC
  • AENOR
  • AES
  • AFCEN
  • AGA
  • AGMA
  • AHAM
  • AHP
  • AHRI
  • AIA
  • AIAA
  • AICHE
  • AIHA
  • AIIM
  • AISC
  • ALI
  • ALPEMA
  • AMCA
  • ANS
  • ANSI
  • ANSI/ANSLG
  • ANSI/NEMA
  • ANSI/TCNA
  • ANSI/UAMA
  • API
  • APWA
  • AREMA
  • ARINC
  • ARMY
  • AS
  • ASA
  • ASABE
  • ASCE
  • ASD-STAN prEN
  • ASHE
  • ASHRAE
  • ASIS
  • ASM
  • ASME
  • ASNT
  • ASQ
  • ASSE (Plumbing)
  • ASSP
  • ASTM
  • ATIS
  • AVIXA
  • AWC
  • AWI
  • AWPA
  • AWS
  • AWWA
  • B11
  • BHMA
  • BICSI
  • BIFMA
  • BioWorld
  • BMI
  • BS
  • CAN/CGSB
  • CAN/ULC
  • CEI
  • CFR
  • CGA
  • CGSB
  • CIE
  • CII
  • CISPR
  • CLSI
  • CMAA
  • CRANE
  • CRSI
  • CSA
  • CTA
  • CTI
  • DID
  • DIN
  • DNV
  • DOD
  • DOXPUB
  • DVS
  • ECIA
  • EEC
  • EEMUA
  • ESD
  • ETSI
  • FCI
  • FED
  • FM Approvals
  • FORD
  • FRPI
  • GMW
  • GPA
  • HEI
  • HFES
  • HI
  • HIR
  • HPS
  • I3A
  • IADC
  • IAPMO
  • IATA
  • ICAO
  • ICC
  • ICEA
  • ICML
  • IEC
  • IEEE
  • IEEE/UL
  • IES
  • IEST
  • IFI
  • IICRC
  • INCITS
  • INTERN
  • IPC
  • ISA
  • ISEA
  • ISO
  • ISO/IEC/IEEE
  • ISPE
  • ISTA
  • ISUZU
  • JEDEC
  • JIS
  • LIA
  • MBMA
  • MCGRAW-HILL
  • MIL
  • MPIF
  • MSS
  • NAAMM
  • NACE
  • NADCA
  • NAS
  • NASA
  • NBBI
  • NCSL
  • NECA
  • NEMA
  • NETA
  • NFPA (Fire)
  • NFPA (Fluid)
  • NFSI
  • NG
  • NGA
  • NISO
  • NORSOK
  • NRC
  • NSC
  • NSF
  • NZS
  • OPEI
  • PCI
  • PDA
  • PEI
  • PIA
  • PIP
  • PPI
  • RTCA
  • SAE
  • SAIA
  • SCTE
  • SDI
  • SES
  • SIA
  • SJI
  • SMACNA
  • SME
  • SMPTE
  • SN EN
  • SPC
  • SPI
  • SSPC
  • STI/SPFA
  • TAPPI
  • TCIA
  • TEMA
  • THHILL
  • TIA
  • TMS
  • UL
  • ULC
  • UOP
  • WILEY
  • WRC
  • X9
Publishers
Need Help?
Log in
Create Account
Cart

Your shopping cart is empty.

Log in or create account

  1. Home
  2. DA-13-005 -- A Statistical Approach to Detect Abnormal Building Energy Consumption with ABCAT

DA-13-005 -- A Statistical Approach to Detect Abnormal Building Energy Consumption with ABCAT ✓ Most Recent

1855922

Conference Proceeding by ASHRAE , 2013

Guanjing Lin; David E. Claridge

Track This

Full Description

The persistence of savings generated from commissioning is a significant topic of concern. The Automated Building Commissioning Analysis Tool (ABCAT) is a prototype tool that continuously monitors building energy consumption after commissioning, alerts operations personnel to significant increases in consumption, and assists them in identifying the problem. This paper introduces a statistical method using a Days Exceeding Threshold plot to detect abnormal wholebuilding energy consumption with ABCAT. The paper reviews the methodology of ABCAT, describes the application of the Days Exceeding Threshold plot in ABCAT, and then presents the results of a simulation test and a retrospective field test. In the simulation test, the Days Exceeding Threshold plot successfully identified eight abnormal energy consumption faults caused by five synthetic control changes. In the retrospective field test, 30 abnormal energy consumption faults were detected in 15 years of building energy consumption data. The causes of some of the detected faults are verified with historical documentation.

See more

Also Bought By Customers

  • 1855881

    DA-13-011 (RP-1344) -- Cleanroom Pressurization Strategy ...
    Priced From $16.00

  • 1855911

    DA-13-014 -- Modeling of Proposed Changes to the SIUC Cen...
    Priced From $16.00

  • 1855943

    DA-13-012 (RP-1344) -- Cleanroom Pressurization Strategy ...
    Priced From $16.00

  • 1855948

    DA-13-009 -- Experimental Study of Surgical Wound Tempera...
    Priced From $16.00

Browse related products from ASHRAE

  • ASHRAE > Conferences > ASHRAE Conferences > 2013 Winter Conference, Dallas, TX > Transactions 2013, Vol. 119, pt. 1 > Technical Papers
  • ASHRAE > Transactions > Transactions 2013, Vol. 119, pt. 1 > Technical Papers

Order Options

Delivery Options
Price: $16.00
Available for Immediate Download

Product Details

Published:

2013

Number of Pages:

9

File Size:

1 file

Product Code(s):

D-DA-13-005

Note:

This product is restricted and cannot be purchased in the following countries Russia, Belarus
✕

Document Delivery Options

PDF
A Portable Document Format which is electronic and downloadable. All PDF's can be downloaded from your My Downloads page in your Accuris Store account. Refer to Help Center for more details.
✕

What is a Secured PDF?

Secured PDFs are equipped with Digital Rights Management (DRM) software, by request of the Publisher to protect the copyright of the Publication, preventing unauthorized duplication and distribution.

What does this mean?

To view the PDF, a DRM tool, FileOpen must be installed. FileOpen is a free plugin which is compatible with Adobe Acrobat Reader DC and Pro DC, as well as other PDF Readers noted on the FileOpen website.

What can you do with a Secured PDF?

  • Print (except for IADC, ICML)
  • Search
  • Highlight
  • Bookmark

Restrictions:

  • Some Publishers do not allow printing.
  • Most Publishers do not permit copy and pasting from the PDF.
  • Sharing, Duplicating and Distribution prohibited.
  • For further information on restrictions, please click here.

PRODUCTS & SERVICES

  1. BPVC 2025
  2. BPVC Previous Editions
  3. Engineering Workbench
  4. Track It

CUSTOMER CARE

  1. Help Center
  2. Glossary
  3. Search Tips

CONNECT WITH US

  1. Contact Us

COMPANY INFORMATION

  1. About Accuris
  2. Press
  • © Copyright 2026 ACCURIS
  • Privacy Policy
  • System Information
Device/OS: Unknown
Browser: Unknown Browser 0.0
User Agent: Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
Store Name: css
Page: /standards/da-13-005-a-statistical-approach-to-detect-abnormal-building-energy-consumption-with-abcat?product_id=1855922
Referrer: Direct Navigation
IP: 216.73.216.4
Language: en
Customer #: Not Logged In
Member?: NO
Cart #: 1463692332
Order #: None
Cookies: YES
×