| Description |
1 online resource (8 p.) : ill. |
| Series |
NREL/CP-550-48386 |
|
Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-550-48386.
|
| System Details |
Full text available via Internet in .pdf format. Adobe Acrobat Reader required. |
| Note |
Title from title screen (NREL, viewed Sept. 20, 2010). |
|
"August 2010." |
|
"Presented at SimBuild 2010, New York, New York, August 15-19, 2010." |
| Summary |
Numerical optimization is a powerful method for identifying energy-efficient building designs. Automating the search process facilitates the evaluation of many more options than is possible with one-off parametric simulation runs. However, input data uncertainties and qualitative aspects of building design work against standard optimization formulations that return a single, so-called optimal design. This paper presents a method for harnessing a discrete optimization algorithm to obtain significantly different, economically viable building designs that satisfy an energy efficiency goal. The method is demonstrated using NREL's first-generation building analysis platform, Opt-E-Plus, and two example problems. We discuss the information content of the results, and the computational effort required by the algorithm. |
| Bibliography |
Includes bibliographical references. |
| Funding |
DE-AC36-08-GO28308. BEC7.1204 |
| Subject |
Buildings -- Energy consumption -- Computer simulation -- Congresses.
|
|
Opt-E-Plus (Computer software).
|
| Added Author |
Long, Nicholas.
|
|
National Renewable Energy Laboratory (U.S.)
|
| Gpo Item No. |
0430-P-04 (online) |
| Sudoc No. |
E 9.17:NREL/CP-550-48386 |
|
