Spatially-Resolved Analysis of Water Use for Vapor Compression and Evaporative Air Conditioning Systems for Commercial Buildings in the United States

Shifting from electricity-reliant vapor compression (VC) air conditioning systems toward alternatives like evaporative cooling (EC) is one strategy being considered to reduce energy use and electricity demand associated with space cooling in the United States (U.S.). However, little work has been done to understand other environmental consequences of this potential shift. In this work, we assess the consumptive water use of these two technologies for nine commercial building archetypes across the continental U.S. To do so, we modeled on-site water use for EC, electric energy consumed by both VC and EC systems, and water consumed by electricity generation at a regional level. We find that while indirect water use for EC systems is less than that of VC systems by approximately 50%, EC systems consume around 5-8 times as much water overall, owing to their on-site water use. The largest differences occur in the hot, humid climates of the Southeastern U.S. due to the region's large cooling needs and saturated atmosphere. Together, these findings indicate the need to design EC systems that include condensation steps in more closed-loop designs.

Authors

Institutions

Publication Details

Journal
Environmental Science & Technology
Published
2025-04-03
DOI
https://doi.org/10.1021/acs.est.4c09452
Citations
1
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
1.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatially-Resolved Analysis of Water Use for Vapor Compression and Evaporative Air Conditioning Systems for Commercial Buildings in the United States

Daniel B. Gingerich, Sreenand Sreedevi, Narmada Ponnamperuma, Jordan D. Clark
1 citations
Environmental Science & Technology
Building Energy and Comfort Optimization
1.01
article

Spatially-Resolved Analysis of Water Use for Vapor Compression and Evaporative Air Conditioning Systems for Commercial Buildings in the United States

Daniel B. Gingerich, Sreenand Sreedevi, Narmada Ponnamperuma, Jordan D. Clark
article en
1 citations

Abstract

Shifting from electricity-reliant vapor compression (VC) air conditioning systems toward alternatives like evaporative cooling (EC) is one strategy being considered to reduce energy use and electricity demand associated with space cooling in the United States (U.S.). However, little work has been done to understand other environmental consequences of this potential shift. In this work, we assess the consumptive water use of these two technologies for nine commercial building archetypes across the continental U.S. To do so, we modeled on-site water use for EC, electric energy consumed by both VC and EC systems, and water consumed by electricity generation at a regional level. We find that while indirect water use for EC systems is less than that of VC systems by approximately 50%, EC systems consume around 5-8 times as much water overall, owing to their on-site water use. The largest differences occur in the hot, humid climates of the Southeastern U.S. due to the region's large cooling needs and saturated atmosphere. Together, these findings indicate the need to design EC systems that include condensation steps in more closed-loop designs.

Environmental Science & TechnologyVol. 59(14)
Geodetic Institute of Slovenia (SI), Agriculture and Food (AU), The Ohio State University (US), Graduate School USA (US)
Clean water and sanitation
Openalex Percentile: Top 27%
Building Energy and Comfort Optimization
1.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.