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On the development of multi-linear regression analysis to assess energy consumption in the early stages of building design

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Τίτλος: On the development of multi-linear regression analysis to assess energy consumption in the early stages of building design
Συγγραφείς: Amiri, Shideh Shams
Στοιχεία εκδότη: Texas A&M University-Kingsville
Έτος έκδοσης: 2014
Συλλογή: Texas A&M University-Kingsville: AKM Digital Repository
Θεματικοί όροι: Regression analysis -- Mathematical models, Regression analysis -- Computer programs, Commercial buildings -- Energy consumption -- Computer simulation, Sustainable buildings -- Design and construction
Περιγραφή: Modeling of energy consumption in buildings is essential for different applications such as building energy management and establishing baselines. This makes building energy consumption estimation as a key tool to reduce energy consumption and emissions. Energy performance of building is complex, since it depends on several parameters related to the building characteristics, equipment and systems, weather, occupants, and sociological influences. This paper presents a new model to predict and quantify energy consumption in commercial buildings in the early stages of building design. Building simulation software including eQUEST and DOE-2 was used to build and simulate individual building configuration that were generated using Monte Carlo simulation techniques. Ten thousands simulations for seven building shapes were performed to create a comprehensive dataset covering the full ranges of design parameters. The present study considered building materials, their thickness, building shape, and occupant schedule as design variables since building energy performance is sensitive to these variables. Then, the results of the energy simulations were implemented into a set of regression equation to predict the energy consumption in each design scenario. A good agreement was seen between the predicted data based on the developed regression model and DOE simulation and the maximum error was less than 5%. It is envisioned that the developed regression models can be used to estimate the total energy consumption in the early stages of the design when different building schemes and design concepts are being considered.
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Περιγραφή αρχείου: pdf; 2,698,333 bytes
Γλώσσα: English
Relation: http://cdm16771.contentdm.oclc.org/u?/p16771coll2,1215
Διαθεσιμότητα: http://cdm16771.contentdm.oclc.org/u?/p16771coll2,1215
Rights: The right to download or print any of the pages of this thesis (Material) is granted by the copyright owner only for personal or classroom use. The author retains all proprietary rights, including copyright ownership. Any reproduction or editing or other use of this Material by any means requires the express written permission of the copyright owner. Except as provided above, or any use beyond what is allowed by fair use (Title 17 Section 107 U.S.C.), you may not reproduce, republish, post, transmit or distribute any Material from this web site in any physical or digital form without the permission of the copyright owner of the Material. Inquiries regarding any further use of these materials should be addressed to Administration, Jernigan Library, Texas A&M University-Kingsville, 700 University Blvd. Kingsville, Texas 78363-8202, (361)593-3416.
Αριθμός Καταχώρησης: edsbas.39CBAB46
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  Data: On the development of multi-linear regression analysis to assess energy consumption in the early stages of building design
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  Data: <searchLink fieldCode="AR" term="%22Amiri%2C+Shideh+Shams%22">Amiri, Shideh Shams</searchLink>
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  Data: Texas A&M University-Kingsville
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  Data: 2014
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  Data: <searchLink fieldCode="DE" term="%22Regression+analysis+--+Mathematical+models%22">Regression analysis -- Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis+--+Computer+programs%22">Regression analysis -- Computer programs</searchLink><br /><searchLink fieldCode="DE" term="%22Commercial+buildings+--+Energy+consumption+--+Computer+simulation%22">Commercial buildings -- Energy consumption -- Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainable+buildings+--+Design+and+construction%22">Sustainable buildings -- Design and construction</searchLink>
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  Data: Modeling of energy consumption in buildings is essential for different applications such as building energy management and establishing baselines. This makes building energy consumption estimation as a key tool to reduce energy consumption and emissions. Energy performance of building is complex, since it depends on several parameters related to the building characteristics, equipment and systems, weather, occupants, and sociological influences. This paper presents a new model to predict and quantify energy consumption in commercial buildings in the early stages of building design. Building simulation software including eQUEST and DOE-2 was used to build and simulate individual building configuration that were generated using Monte Carlo simulation techniques. Ten thousands simulations for seven building shapes were performed to create a comprehensive dataset covering the full ranges of design parameters. The present study considered building materials, their thickness, building shape, and occupant schedule as design variables since building energy performance is sensitive to these variables. Then, the results of the energy simulations were implemented into a set of regression equation to predict the energy consumption in each design scenario. A good agreement was seen between the predicted data based on the developed regression model and DOE simulation and the maximum error was less than 5%. It is envisioned that the developed regression models can be used to estimate the total energy consumption in the early stages of the design when different building schemes and design concepts are being considered.
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  Data: The right to download or print any of the pages of this thesis (Material) is granted by the copyright owner only for personal or classroom use. The author retains all proprietary rights, including copyright ownership. Any reproduction or editing or other use of this Material by any means requires the express written permission of the copyright owner. Except as provided above, or any use beyond what is allowed by fair use (Title 17 Section 107 U.S.C.), you may not reproduce, republish, post, transmit or distribute any Material from this web site in any physical or digital form without the permission of the copyright owner of the Material. Inquiries regarding any further use of these materials should be addressed to Administration, Jernigan Library, Texas A&M University-Kingsville, 700 University Blvd. Kingsville, Texas 78363-8202, (361)593-3416.
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      – Text: English
    Subjects:
      – SubjectFull: Regression analysis -- Mathematical models
        Type: general
      – SubjectFull: Regression analysis -- Computer programs
        Type: general
      – SubjectFull: Commercial buildings -- Energy consumption -- Computer simulation
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      – SubjectFull: Sustainable buildings -- Design and construction
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      – TitleFull: On the development of multi-linear regression analysis to assess energy consumption in the early stages of building design
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            NameFull: Amiri, Shideh Shams
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              M: 01
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              Y: 2014
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