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Analysis of a simplified calibration procedure for 18 design-phase building energy models.

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Title: Analysis of a simplified calibration procedure for 18 design-phase building energy models.
Authors: Samuelson, Holly W.1, Ghorayshi, Arash2, Reinhart, Christoph F.3
Source: Journal of Building Performance Simulation. Jan2016, Vol. 9 Issue 1, p17-29. 13p.
Subjects: Calibration, Leadership in Energy & Environmental Design, Energy consumption, Standard deviations, Weather, Heating & ventilation industry
Abstract: This paper evaluates the accuracy of 18 design-phase building energy models, built according to LEED Canada protocol, and investigates the effectiveness of model calibration steps to improve simulation predictions with respect to measured energy data. These calibration steps, applied in professional practice, included inputting actual weather data, adding unregulated loads, revising plug loads (often with submetered data), and other simple updates. In sum, the design-phase energy models underpredicted the total measured energy consumption by 36%. Following the calibration steps, this error was reduced to a net 7% underprediction. For the monthly energy use intensity (EUI), the coefficient of variation of the root mean square error improved from 45% to 24%. Revising plug loads made the largest impact in these cases. This step increased the EUI by 15% median (32% mean) in the models. This impact far exceeded that of calibrating the weather data, even in a sensitivity test using extreme weather years. [ABSTRACT FROM PUBLISHER]
Copyright of Journal of Building Performance Simulation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 112462949
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Analysis of a simplified calibration procedure for 18 design-phase building energy models.
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  Data: <searchLink fieldCode="AR" term="%22Samuelson%2C+Holly+W%2E%22">Samuelson, Holly W.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ghorayshi%2C+Arash%22">Ghorayshi, Arash</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Reinhart%2C+Christoph+F%2E%22">Reinhart, Christoph F.</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Building+Performance+Simulation%22">Journal of Building Performance Simulation</searchLink>. Jan2016, Vol. 9 Issue 1, p17-29. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Calibration%22">Calibration</searchLink><br /><searchLink fieldCode="DE" term="%22Leadership+in+Energy+%26+Environmental+Design%22">Leadership in Energy & Environmental Design</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Standard+deviations%22">Standard deviations</searchLink><br /><searchLink fieldCode="DE" term="%22Weather%22">Weather</searchLink><br /><searchLink fieldCode="DE" term="%22Heating+%26+ventilation+industry%22">Heating & ventilation industry</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper evaluates the accuracy of 18 design-phase building energy models, built according to LEED Canada protocol, and investigates the effectiveness of model calibration steps to improve simulation predictions with respect to measured energy data. These calibration steps, applied in professional practice, included inputting actual weather data, adding unregulated loads, revising plug loads (often with submetered data), and other simple updates. In sum, the design-phase energy models underpredicted the total measured energy consumption by 36%. Following the calibration steps, this error was reduced to a net 7% underprediction. For the monthly energy use intensity (EUI), the coefficient of variation of the root mean square error improved from 45% to 24%. Revising plug loads made the largest impact in these cases. This step increased the EUI by 15% median (32% mean) in the models. This impact far exceeded that of calibrating the weather data, even in a sensitivity test using extreme weather years. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Building Performance Simulation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=112462949
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/19401493.2014.988752
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 13
        StartPage: 17
    Subjects:
      – SubjectFull: Calibration
        Type: general
      – SubjectFull: Leadership in Energy & Environmental Design
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Standard deviations
        Type: general
      – SubjectFull: Weather
        Type: general
      – SubjectFull: Heating & ventilation industry
        Type: general
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      – TitleFull: Analysis of a simplified calibration procedure for 18 design-phase building energy models.
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            NameFull: Samuelson, Holly W.
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            NameFull: Ghorayshi, Arash
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            NameFull: Reinhart, Christoph F.
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            – D: 01
              M: 01
              Text: Jan2016
              Type: published
              Y: 2016
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