Decarbonization of academic laboratories: On the trade-offs between CO2 emissions, spending, and research output

IF 6.1 Q2 ENGINEERING, ENVIRONMENTAL Cleaner Environmental Systems Pub Date : 2024-03-01 DOI:10.1016/j.cesys.2024.100168
Xavier Capet , Olivier Aumont
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Abstract

University laboratories and research institutes are progressively engaging in reducing greenhouse gas (GHG) emissions from their operations. It can be difficult to target all sources of GHG emissions at once, given the diversity of problems posed by each source individually. However, targeting only one or a subset of emissions sources can lead to reallocation of expenditures and thus transfers between emissions items when the financial budget is constant. A simple toy model with 2 or 3 expenditure items and 2 classes of laboratory personnel allows us to explore the communicating vessels effects associated with the partial decarbonization of research entities in different scenarios. More generally, the model highlights the trade-offs between CO2 emissions, expenditures, and output/research production. Decarbonization measures must be carefully planned based on thorough identification and quantification of direct emissions sources inside and outside the laboratory. Examples pertaining to air travel and use of labware are discussed in detail. Redefining expectations in terms of research production could allow for a greater emphasis on environmental constraints but this requires institutional as well as ethical transformations.

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学术实验室的去碳化:二氧化碳排放、支出和研究成果之间的权衡
大学实验室和研究机构正在逐步减少其运营过程中的温室气体排放。由于每个排放源所造成的问题各不相同,因此很难同时针对所有温室气体排放源。但是,如果只针对一个或部分排放源,就会导致支出的重新分配,从而在财政预算不变的情况下,在排放项目之间进行转移。通过一个包含 2 或 3 个支出项目和 2 类实验室人员的简单玩具模型,我们可以探索在不同情况下与研究实体部分去碳化相关的交流船只效应。更广泛地说,该模型强调了二氧化碳排放、支出和产出/研究成果之间的权衡。必须在彻底识别和量化实验室内外直接排放源的基础上,认真规划去碳化措施。本文详细讨论了与航空旅行和实验室器皿使用有关的例子。重新定义对研究生产的期望,可以让人们更加重视环境约束,但这需要制度和道德的转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cleaner Environmental Systems
Cleaner Environmental Systems Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
0.00%
发文量
32
审稿时长
52 days
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