Published January 2021 | Version v1
Journal article

Evaluation of sector-specific AWARE characterization factors for water scarcity footprint of electricity generation

  • 1. Department of Civil Engineering, Lassonde School of Engineering, York University, Toronto, Ontario (Canada)
  • 2. CIRAIG, Chemical Engineering Department, Polytechnique Montreal, Montreal, Quebec H3T 1J4 (Canada)
  • 3. CIRAIG, Department of Strategy and Corporate Social Responsibility, ESG, UQAM, Montreal, Quebec H3C 3P8 (Canada)

Description

Highlights: • Water consumption varies greatly among various sources of electricity. • The regional Characterization Factors (CFs) for water-use in Life Cycle Impact Assessment (LCIA) varies greatly in the US. • The tempo-spatial distribution of electricity and its sub-sectors has a notable impact on the total impact score. • Across the US, the use of generic water-use CF for electricity leads to under-estimation of impact score in LCIA. • Hydroelectricity and coal-based electricity have the highest CFs among other electricity sub-sectors. Life Cycle Impact Assessment (LCIA) links the emissions and resource abstractions of a product system or process to potential impacts on the environment through characterization factors (CF). For regionalized impact categories like water-use, the regional CFs can vary over several orders of magnitude within the same country. The aggregated country-level CF, often used in LCIA, represents an average of local CF weighted by the local water consumption of all (or most) human water use including water use by all (or most) economic sectors. There is, however, great variability in spatio-temporal distribution of human water consumption across different industries. This study provides industry-specific water-use CFs for the electricity sector across the US. Our analysis shows that for electricity generation, the use of all-sector aggregated water-use CF would lead to an underestimation of impact scores compared to industry-specific CFs, by two folds. Even within the electricity sector, for two of the major subsectors, electricity based on natural gas and hydroelectricity, the country-level CFs can be significantly different due to the geographic distribution of powerplants. Our findings signify that the use of industry-specific CF can have a high influence in LCIA, especially for impact categories, such as water-use, with great spatio-temporal heterogeneity.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2020.142063

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2020.142063;
PII
S0048969720355923;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
753
Journal Page Range
vp.
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54061689
Subject category
S13: HYDRO ENERGY; S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
ELECTRICITY; FRESH WATER; HYDROELECTRIC POWER; SPATIAL DISTRIBUTION; WATER USE
Descriptors DEC
DISTRIBUTION; ELECTRIC POWER; ENERGY SOURCES; HYDROGEN COMPOUNDS; OXYGEN COMPOUNDS; POWER; RENEWABLE ENERGY SOURCES; WATER

Optional Information

Copyright
Copyright (c) 2020 Elsevier B.V. All rights reserved.