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Using building and occupant characteristics to predict residential residual miscellaneous electrical loads: a comparison between an asset label and an occupant-based operational model for homes in Florida.

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Title: Using building and occupant characteristics to predict residential residual miscellaneous electrical loads: a comparison between an asset label and an occupant-based operational model for homes in Florida.
Authors: Burgett, Joseph M.1, Chini, Abdol R.2
Source: Journal of Building Performance Simulation. Jan2016, Vol. 9 Issue 1, p84-100. 17p.
Subjects: Residential energy conservation, Electrical load, Energy consumption, Hydronics, Dwellings
Geographic Terms: Florida
Abstract: Over the past thirty years, the intensity of all major energy-use categories has decreased in the residential market with the exception of residual Miscellaneous Electrical Loads (MELs). MELs include primarily plug loads and some hard wired loads. The Home Energy Rating System (HERS) index is the most widely used residential energy rating system in the USA. It provides a home asset label using standardized occupant-dependent behaviour. Standardized occupant behaviour allows for the comparison of other HERS-rated homes, but may not predict actual energy consumption well. This study created the Residual Miscellaneous Electrical Load Model (RMELM) to predict the MEL by regressing an equation from a 12,000 household survey. The RMELM was then tested on 24 existing homes and compared with the MEL model of the HERS index. The RMELM more closely predicted the actual MEL in 71% of the test houses and explained 55% more of the MEL variation. [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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  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 112462955
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Using building and occupant characteristics to predict residential residual miscellaneous electrical loads: a comparison between an asset label and an occupant-based operational model for homes in Florida.
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  Data: <searchLink fieldCode="AR" term="%22Burgett%2C+Joseph+M%2E%22">Burgett, Joseph M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Chini%2C+Abdol+R%2E%22">Chini, Abdol R.</searchLink><relatesTo>2</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, p84-100. 17p.
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  Data: <searchLink fieldCode="DE" term="%22Residential+energy+conservation%22">Residential energy conservation</searchLink><br /><searchLink fieldCode="DE" term="%22Electrical+load%22">Electrical load</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Hydronics%22">Hydronics</searchLink><br /><searchLink fieldCode="DE" term="%22Dwellings%22">Dwellings</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Florida%22">Florida</searchLink>
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  Data: Over the past thirty years, the intensity of all major energy-use categories has decreased in the residential market with the exception of residual Miscellaneous Electrical Loads (MELs). MELs include primarily plug loads and some hard wired loads. The Home Energy Rating System (HERS) index is the most widely used residential energy rating system in the USA. It provides a home asset label using standardized occupant-dependent behaviour. Standardized occupant behaviour allows for the comparison of other HERS-rated homes, but may not predict actual energy consumption well. This study created the Residual Miscellaneous Electrical Load Model (RMELM) to predict the MEL by regressing an equation from a 12,000 household survey. The RMELM was then tested on 24 existing homes and compared with the MEL model of the HERS index. The RMELM more closely predicted the actual MEL in 71% of the test houses and explained 55% more of the MEL variation. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
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  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=112462955
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/19401493.2014.999122
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 17
        StartPage: 84
    Subjects:
      – SubjectFull: Residential energy conservation
        Type: general
      – SubjectFull: Electrical load
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Hydronics
        Type: general
      – SubjectFull: Dwellings
        Type: general
      – SubjectFull: Florida
        Type: general
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      – TitleFull: Using building and occupant characteristics to predict residential residual miscellaneous electrical loads: a comparison between an asset label and an occupant-based operational model for homes in Florida.
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            NameFull: Chini, Abdol R.
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              Text: Jan2016
              Type: published
              Y: 2016
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