Document Type
Article
Source Publication Title
The 15th ACM International Conference on Future and Sustainable Energy Systems
DOI
https://dl.acm.org/doi/10.1145/3632775.3661962
Abstract
Freshwater scarcity is a global problem that requires collective efforts across all industry sectors. Nevertheless, a lack of access to operational water footprint data bars many applications from exploring optimization opportunities hidden within the temporal and spatial variations. To break this barrier into research in water sustainability, we build a dataset for operation direct water usage in the cooling systems and indirect water embedded in electricity generation. Our dataset consists of the hourly water efficiency of major U.S. cities and states from 2019 to 2023. We also offer cooling system models that capture the impact of weather on water efficiency. We present a preliminary analysis of our dataset and discuss three potential applications that can benefit from it. Our dataset is publicly available at Open Science Framework (OSF).
Publication Date
5-31-2024
Language
English
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Gupta, Pranjol Sen; Hossen, Md Rajib; Islam, Mohammad A.; Li, Pengfei; and Ren, Shaolei, "A Dataset for Research on Water Sustainability" (2024). Association of Computing Machinery Open Access Agreement Publications-Archive. 88.
https://mavmatrix.uta.edu/utalibraries_acmoapubs/88