Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
Characterizing Water and Water-Related Energy in Multi-Unit Residential Structures with High Resolution Smart Meter Data
Authors: |
|
|
---|---|---|
Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
Type: | Resource | |
Storage: | The size of this resource is 1.0 GB | |
Created: | Jul 16, 2020 at 2:26 a.m. | |
Last updated: | Mar 02, 2021 at 9:36 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
---|---|
Views: | 1618 |
Downloads: | 65 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
Abstract
As global populations continue to increase and become more urbanized, relationships between water and energy are becoming more important. Both are limited in supply, but both are required to satisfy the needs of residential water users. In the context of urbanization and residential water use, domestic hot water (DHW), which is a resource consumed in nearly every residential structure in the developed world, represents one of the most significant water-related uses of energy. However, quantifying hot water use and the energy associated with heating it can be difficult. Water and energy use are typically evaluated separately, and paired datasets that enable direct evaluation of hot water use and its associated energy consumption are rare. Yet, quantifying water and water-related energy use are important in better understanding how they are linked and in identifying opportunities for conservation. We collected high resolution water use and water temperature data within five multi-unit residential structures on a college campus and then developed a water and energy budget model for quantifying water and water-related energy consumption within each building. Results showed varying behavioral consumption patterns across the buildings. Results also showed tradeoffs between data volume and ability to quantify use associated with sampling and data recording frequency. This resource is the result of an effort to establish reproducibility of the methods undertaken to quantify and characterize water and water-related energy with high-resolution smart meter data in multi-unit residential structures. This undertaking was a part of the research obligations associated with a Masters thesis completed at Utah State University in Aug 2020.
Subject Keywords
Coverage
Spatial
Temporal
Start Date: | |
---|---|
End Date: |
Content
Related Resources
This resource is referenced by | Brewer, J.C. (2020). Characterizing Water and Water-Related Energy Use in Multi-Unit Residential Structures with High Resolution Smart Metering Data, All Graduate Theses and Dissertations, 7976, https://digitalcommons.usu.edu/etd/7976 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
---|---|---|
National Science Foundation | Cyberinfrastructure for Intelligent Water Supply (CIWS): Shrinking Big Data for Sustainable Urban Water | 1552444 |
Utah Water Research Laboratory |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment