Loading…

Advances in building data management for building performance standards using the SEED platform

Reducing energy consumption and greenhouse gas emissions in the built environment is a critical step in achieving emission goals to mitigate climate change impacts. Local, federal, and international jurisdictions are deploying several methods to reduce energy and emissions such as voluntary and mand...

Full description

Saved in:
Bibliographic Details
Published in:Developments in the built environment 2024-12, Vol.20, p.100530, Article 100530
Main Authors: Long, Nicholas, Fleming, Katherine, Swindler, Alex, Held, Andrew, Mitchell, Robin, Henze, Gregor P.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Reducing energy consumption and greenhouse gas emissions in the built environment is a critical step in achieving emission goals to mitigate climate change impacts. Local, federal, and international jurisdictions are deploying several methods to reduce energy and emissions such as voluntary and mandatory benchmarking and building performance standards, requiring building owners to reach energy and emission targets. Jurisdictions leveraging benchmarking and building performance standards require knowledge of the buildings covered; which is a large task due to staffing constraints, limited information on building characteristics and tax parcel data, and the need for advanced data management techniques to align datasets. This paper describes an open-source platform's recent advances to create consistent taxonomies, identify erroneous data, enable auditability, and track building performance. The paper concludes with two use cases on how the platform has been used by jurisdictions. [Display omitted] •Discuss the status of benchmarking and building performance standards.•Describe the processes that are used to manage building performance datasets.•Present the SEED platform as a solution to manage building performance datasets.
ISSN:2666-1659
2666-1659
DOI:10.1016/j.dibe.2024.100530