Enumerating a diverse set of building designs using discrete optimization : preprint / Elaine Hale and Nicholas Long.

Format:

• Book
• Government document

Author/Creator:

• Hale, Elaine T., author.
• Long, Nicholas (Nicholas L.), author.

Contributor:

• National Renewable Energy Laboratory (U.S.)

Series:

• Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-550-48386.
• NREL/CP-550-48386

Language:

English

Subjects (All):

• Buildings--Energy consumption--Computer simulation--Congresses.
• Opt-E-Plus (Computer software).

Genre:

• Congresses.
• technical reports.
• Technical reports
• Conference papers and proceedings
• Technical reports.

Physical Description:

1 online resource (8 pages) : illustrations.

Place of Publication:

Golden, CO : National Renewable Energy Laboratory, [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.

Notes:

• Title from title screen (NREL, viewed Sept. 20, 2010).
• "August 2010."
• "Presented at SimBuild 2010, New York, New York, August 15-19, 2010."
• Includes bibliographical references.

OCLC:

664576022