将大规模部署的新兴技术纳入预期生命周期评估

IF 10.9 1区 环境科学与生态学 Q1 ENVIRONMENTAL STUDIES
Margarita A. Charalambous , Romain Sacchi , Victor Tulus , Gonzalo Guillén-Gosálbez
{"title":"将大规模部署的新兴技术纳入预期生命周期评估","authors":"Margarita A. Charalambous ,&nbsp;Romain Sacchi ,&nbsp;Victor Tulus ,&nbsp;Gonzalo Guillén-Gosálbez","doi":"10.1016/j.spc.2024.08.016","DOIUrl":null,"url":null,"abstract":"<div><p>Climate policies will strongly affect future supply chains in ways that can be predicted using integrated assessment models (IAMs). The outcomes of IAMs are now being used to conduct prospective life cycle assessments (pLCA) where the background data reflects expected future changes in the economy. However, the technological representation of emerging technologies is often limited in IAMs, which cover a reduced number of routes, thus offering limited insights into their role in future scenarios. This study addresses this gap by integrating emerging technologies omitted in IAMs into future markets, providing a more robust foundation for pLCAs. Diesel, widely used in transportation, heating, and power systems, has established itself as an integral part of the world's infrastructure. Hence, to illustrate our approach, here we analyze the future environmental impacts of heavy-duty trucks fueled with synthetic Fischer-Tropsch e-diesel, incorporating our technology in the diesel market of the background system, through an integrated LCA approach. The standard non-integrated LCA would analyze these technologies in the foreground, assuming that the background is given. In contrast, our integrated LCA, which is particularly suited for cases where technologies in the foreground are deployed at scale, makes both systems consistent with each other. Our findings reveal mismatches in climate impacts depending on the climate pathway and technology of up to 35 % between the integrated and non-integrated approaches, which increase over time, particularly from 2020 to 2050, and are more pronounced when assessing highly carbon-negative or carbon-positive technologies. Overall, we stress the importance of having consistent foreground and background systems for performing more meaningful and accurate LCAs. Moreover, we provide detailed guidelines on implementing such integrated analysis in current software packages, aiming to enhance the reliability of pLCAs for emerging technologies.</p></div>","PeriodicalId":48619,"journal":{"name":"Sustainable Production and Consumption","volume":"50 ","pages":"Pages 499-510"},"PeriodicalIF":10.9000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352550924002422/pdfft?md5=8c245655417c3e4e28aaa500a506cec3&pid=1-s2.0-S2352550924002422-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Integrating emerging technologies deployed at scale within prospective life cycle assessments\",\"authors\":\"Margarita A. Charalambous ,&nbsp;Romain Sacchi ,&nbsp;Victor Tulus ,&nbsp;Gonzalo Guillén-Gosálbez\",\"doi\":\"10.1016/j.spc.2024.08.016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Climate policies will strongly affect future supply chains in ways that can be predicted using integrated assessment models (IAMs). The outcomes of IAMs are now being used to conduct prospective life cycle assessments (pLCA) where the background data reflects expected future changes in the economy. However, the technological representation of emerging technologies is often limited in IAMs, which cover a reduced number of routes, thus offering limited insights into their role in future scenarios. This study addresses this gap by integrating emerging technologies omitted in IAMs into future markets, providing a more robust foundation for pLCAs. Diesel, widely used in transportation, heating, and power systems, has established itself as an integral part of the world's infrastructure. Hence, to illustrate our approach, here we analyze the future environmental impacts of heavy-duty trucks fueled with synthetic Fischer-Tropsch e-diesel, incorporating our technology in the diesel market of the background system, through an integrated LCA approach. The standard non-integrated LCA would analyze these technologies in the foreground, assuming that the background is given. In contrast, our integrated LCA, which is particularly suited for cases where technologies in the foreground are deployed at scale, makes both systems consistent with each other. Our findings reveal mismatches in climate impacts depending on the climate pathway and technology of up to 35 % between the integrated and non-integrated approaches, which increase over time, particularly from 2020 to 2050, and are more pronounced when assessing highly carbon-negative or carbon-positive technologies. Overall, we stress the importance of having consistent foreground and background systems for performing more meaningful and accurate LCAs. Moreover, we provide detailed guidelines on implementing such integrated analysis in current software packages, aiming to enhance the reliability of pLCAs for emerging technologies.</p></div>\",\"PeriodicalId\":48619,\"journal\":{\"name\":\"Sustainable Production and Consumption\",\"volume\":\"50 \",\"pages\":\"Pages 499-510\"},\"PeriodicalIF\":10.9000,\"publicationDate\":\"2024-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2352550924002422/pdfft?md5=8c245655417c3e4e28aaa500a506cec3&pid=1-s2.0-S2352550924002422-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Production and Consumption\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352550924002422\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Production and Consumption","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352550924002422","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0

摘要

气候政策将对未来的供应链产生重大影响,而这些影响的方式可以通过综合评估模型(IAMs)进行预测。目前,综合评估模型的结果正被用于开展前瞻性生命周期评估(pLCA),其背景数据反映了未来经济的预期变化。然而,在综合评估模型中,新兴技术的技术代表性往往有限,所涵盖的路线数量也较少,因此对新兴技术在未来情景中的作用所提供的见解有限。本研究通过将 IAMs 中遗漏的新兴技术整合到未来市场中,为 pLCAs 提供了更坚实的基础,从而弥补了这一不足。柴油广泛应用于交通、供热和电力系统,已成为全球基础设施不可或缺的一部分。因此,为了说明我们的方法,我们在此通过综合生命周期评估方法,分析以合成费托合成电子柴油为燃料的重型卡车的未来环境影响,并将我们的技术纳入背景系统的柴油市场。标准的非综合生命周期评估将在假设背景已给定的情况下,对前景中的这些技术进行分析。相比之下,我们的综合生命周期评估特别适用于前景技术大规模部署的情况,使两个系统相互一致。我们的研究结果表明,根据不同的气候路径和技术,综合方法与非综合方法之间的气候影响不匹配程度高达 35%,这种不匹配程度随着时间的推移而增加,尤其是从 2020 年到 2050 年,在评估高碳负或碳正技术时这种不匹配程度更为明显。总之,我们强调了拥有一致的前景和背景系统对于执行更有意义、更准确的生命周期评估的重要性。此外,我们还提供了在现有软件包中实施此类综合分析的详细指南,旨在提高新兴技术的 pLCAs 的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Integrating emerging technologies deployed at scale within prospective life cycle assessments

Integrating emerging technologies deployed at scale within prospective life cycle assessments

Climate policies will strongly affect future supply chains in ways that can be predicted using integrated assessment models (IAMs). The outcomes of IAMs are now being used to conduct prospective life cycle assessments (pLCA) where the background data reflects expected future changes in the economy. However, the technological representation of emerging technologies is often limited in IAMs, which cover a reduced number of routes, thus offering limited insights into their role in future scenarios. This study addresses this gap by integrating emerging technologies omitted in IAMs into future markets, providing a more robust foundation for pLCAs. Diesel, widely used in transportation, heating, and power systems, has established itself as an integral part of the world's infrastructure. Hence, to illustrate our approach, here we analyze the future environmental impacts of heavy-duty trucks fueled with synthetic Fischer-Tropsch e-diesel, incorporating our technology in the diesel market of the background system, through an integrated LCA approach. The standard non-integrated LCA would analyze these technologies in the foreground, assuming that the background is given. In contrast, our integrated LCA, which is particularly suited for cases where technologies in the foreground are deployed at scale, makes both systems consistent with each other. Our findings reveal mismatches in climate impacts depending on the climate pathway and technology of up to 35 % between the integrated and non-integrated approaches, which increase over time, particularly from 2020 to 2050, and are more pronounced when assessing highly carbon-negative or carbon-positive technologies. Overall, we stress the importance of having consistent foreground and background systems for performing more meaningful and accurate LCAs. Moreover, we provide detailed guidelines on implementing such integrated analysis in current software packages, aiming to enhance the reliability of pLCAs for emerging technologies.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Sustainable Production and Consumption
Sustainable Production and Consumption Environmental Science-Environmental Engineering
CiteScore
17.40
自引率
7.40%
发文量
389
审稿时长
13 days
期刊介绍: Sustainable production and consumption refers to the production and utilization of goods and services in a way that benefits society, is economically viable, and has minimal environmental impact throughout its entire lifespan. Our journal is dedicated to publishing top-notch interdisciplinary research and practical studies in this emerging field. We take a distinctive approach by examining the interplay between technology, consumption patterns, and policy to identify sustainable solutions for both production and consumption systems.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信