Conducting Retrospective Analyses of Building Energy Models with Various Levels of Available Data
| Autor: | Fernanda Leite, Christopher M. Stoppel |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Visual Arts and Performing Arts business.industry 020209 energy 0211 other engineering and technologies Building energy 02 engineering and technology Building and Construction Energy consumption Environmental design Civil engineering 021105 building & construction Architecture 0202 electrical engineering electronic engineering information engineering Errors-in-variables models Sources of error business Energy (signal processing) Civil and Structural Engineering Efficient energy use |
| Zdroj: | Journal of Architectural Engineering. 22 |
| ISSN: | 1943-5568 1076-0431 |
| Popis: | Building owners and design teams rely greatly on building energy models to identify effective strategies for maximizing building energy performance. However, past studies of building energy-model performance, particularly among Leadership in Energy and Environmental Design (LEED)-certified buildings, have shown that models can vary significantly at the individual building level. Conducting retrospective analyses of building energy models can provide more insight regarding empirical variation and models’ sources of error than past studies that reported the observed difference between predicted and actual annual energy performances. This paper describes a method for conducting retrospective analyses on building-energy models, and then applies the method to three LEED-certified dormitory buildings that are owned and operated by the U.S. Department of Defense. All three buildings contained varying levels of actual building-energy data, which served to illustrate the extent to which model error may be ... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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