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On the development of multi-linear regression analysis to assess energy consumption in the early stages of building design
| 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. |
| Τύπος εγγράφου: | other/unknown material |
| 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 |
| Βάση Δεδομένων: | BASE |
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