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评估特定部门的 AWARE 特征因子在发电的水资源稀缺足迹中的应用。

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

机构信息

Department of Civil Engineering, Lassonde School of Engineering, York University, Toronto, Ontario, Canada.

CIRAIG, Chemical Engineering Department, Polytechnique Montreal, Montreal, Quebec H3T 1J4, Canada.

出版信息

Sci Total Environ. 2021 Jan 20;753:142063. doi: 10.1016/j.scitotenv.2020.142063. Epub 2020 Aug 28.

DOI:10.1016/j.scitotenv.2020.142063
PMID:33207441
Abstract

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.

摘要

生命周期影响评估 (LCIA) 通过特征化因子 (CF) 将产品系统或过程的排放和资源提取与对环境的潜在影响联系起来。对于像水利用这样的区域化影响类别,同一国家内的区域 CF 可能会有几个数量级的变化。在 LCIA 中经常使用的综合国家级 CF 是根据所有(或大多数)人类水利用(包括所有(或大多数)经济部门的水利用)的当地水消耗对当地 CF 进行加权的平均值。然而,不同行业的人类水消耗在时空分布上存在很大差异。本研究提供了美国电力行业特定的水利用 CF。我们的分析表明,对于发电,与特定行业的 CF 相比,使用所有部门综合水利用 CF 将导致影响得分低估两倍。即使在电力部门内,对于两个主要的子部门,即基于天然气和水力的电力,由于发电厂的地理位置分布,国家级 CF 也可能有很大差异。我们的研究结果表明,在 LCIA 中使用特定行业的 CF 可能会产生重大影响,特别是对于水利用等具有较大时空异质性的影响类别。

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