Shoeboxer: An algorithm for abstracted rapid multi-zone urban building energy model generation and simulation
Name
Shoeboxer_An_algorithm_for_abstracted_rapid_multi-.pdf
Description
Accepted version
Size
5.41 MB
Format
Adobe PDF
Checksum (MD5)
7f7032331de5f76c75b37a7702b8a31d
Author(s)
Reinhart, Christoph
Date Issued
February 2017
Journal
Energy and buildings
Publisher
Elsevier BV
Citation
Dogan, Timur and Christoph Reinhart. “Shoeboxer: An algorithm for abstracted rapid multi-zone urban building energy model generation and simulation.” Energy and buildings, vol. 140, 2017 © 2017 The Author(s)
Version
Author's final manuscript
Abstract
In this paper the authors present an algorithm that abstracts an arbitrarily shaped set of building volumes into a group of simplified ‘shoebox’ building energy models. It is shown that for generic perimeter and core floorplans the algorithm provides a faster but comparably accurate simulation results of annual load profiles vis-à-vis multi-zone thermal models generated according to ASHRAE90.1 Appendix G guidelines. Envisioned applications range from rapid thermal model generation for urban building energy modelling to schematic architectural design. Following a description of the algorithm, its ability to produce load profiles for a mixed-use neighborhood of 121 fully conditioned buildings for a variety of climates is demonstrated. The comparison yields relative mean square errors in simulated annual building energy use intensity of five to 10 percent compared to ASHRAE 90.1 compliant building energy models while reducing simulation times by a factor of 296.
MIT Department
Massachusetts Institute of Technology. Department of Architecture
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.ENBUILD.2017.01.030
