可持续航空燃料系统的前瞻性生命周期评估

IF 11.3 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
David Quiroz*, Jonah M. Greene, Braden J. Limb and Jason C. Quinn, 
{"title":"可持续航空燃料系统的前瞻性生命周期评估","authors":"David Quiroz*,&nbsp;Jonah M. Greene,&nbsp;Braden J. Limb and Jason C. Quinn,&nbsp;","doi":"10.1021/acs.est.5c09113","DOIUrl":null,"url":null,"abstract":"<p >Sustainable aviation fuels (SAFs) are critical for reducing the greenhouse gas emissions of aviation. However, many SAF feedstocks and biorefining technologies are still in the research and development stages, which complicates accurate predictions of their long-term environmental impacts through traditional life cycle assessments (LCAs). Prospective LCA (pLCA) methods, which use dynamic life cycle inventory models, offer a solution to static LCA by evaluating impacts within a future context. This study leverages pLCA to assess the decarbonization potential of three SAF pathways using corn, miscanthus, and algae biomass across three future scenarios. The miscanthus pathway consistently demonstrates the lowest carbon intensity, starting at approximately 14 g CO<sub>2</sub>e MJ<sup>–1</sup> and maintaining this low level across all scenarios by 2050. This stability is attributed to its simpler and more mature conversion technology. In contrast, the algal and corn pathways, which initially present higher emissions (98.1 g CO<sub>2</sub>e MJ<sup>–1</sup> and 71.8 g CO<sub>2</sub>e MJ<sup>–1</sup> respectively), show significant reductions by 2050. Specifically, algal and corn-based SAF drop to 33.1 g CO<sub>2</sub>e MJ<sup>–1</sup> and 49 g CO<sub>2</sub>e MJ<sup>–1</sup>, respectively, particularly under aggressive climate policy scenarios. These findings highlight the importance of pLCA for evaluating emerging technologies, as results are shown to significantly change from 2020 to 2050.</p>","PeriodicalId":36,"journal":{"name":"环境科学与技术","volume":"59 36","pages":"19269–19282"},"PeriodicalIF":11.3000,"publicationDate":"2025-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prospective Life Cycle Assessment of Sustainable Aviation Fuel Systems\",\"authors\":\"David Quiroz*,&nbsp;Jonah M. Greene,&nbsp;Braden J. Limb and Jason C. Quinn,&nbsp;\",\"doi\":\"10.1021/acs.est.5c09113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Sustainable aviation fuels (SAFs) are critical for reducing the greenhouse gas emissions of aviation. However, many SAF feedstocks and biorefining technologies are still in the research and development stages, which complicates accurate predictions of their long-term environmental impacts through traditional life cycle assessments (LCAs). Prospective LCA (pLCA) methods, which use dynamic life cycle inventory models, offer a solution to static LCA by evaluating impacts within a future context. This study leverages pLCA to assess the decarbonization potential of three SAF pathways using corn, miscanthus, and algae biomass across three future scenarios. The miscanthus pathway consistently demonstrates the lowest carbon intensity, starting at approximately 14 g CO<sub>2</sub>e MJ<sup>–1</sup> and maintaining this low level across all scenarios by 2050. This stability is attributed to its simpler and more mature conversion technology. In contrast, the algal and corn pathways, which initially present higher emissions (98.1 g CO<sub>2</sub>e MJ<sup>–1</sup> and 71.8 g CO<sub>2</sub>e MJ<sup>–1</sup> respectively), show significant reductions by 2050. Specifically, algal and corn-based SAF drop to 33.1 g CO<sub>2</sub>e MJ<sup>–1</sup> and 49 g CO<sub>2</sub>e MJ<sup>–1</sup>, respectively, particularly under aggressive climate policy scenarios. These findings highlight the importance of pLCA for evaluating emerging technologies, as results are shown to significantly change from 2020 to 2050.</p>\",\"PeriodicalId\":36,\"journal\":{\"name\":\"环境科学与技术\",\"volume\":\"59 36\",\"pages\":\"19269–19282\"},\"PeriodicalIF\":11.3000,\"publicationDate\":\"2025-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"环境科学与技术\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acs.est.5c09113\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学与技术","FirstCategoryId":"1","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.est.5c09113","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

可持续航空燃料(SAFs)对于减少航空温室气体排放至关重要。然而,许多SAF原料和生物精炼技术仍处于研究和开发阶段,这使得通过传统的生命周期评估(lca)准确预测其长期环境影响变得复杂。前瞻性LCA (pLCA)方法使用动态生命周期清单模型,通过评估未来环境下的影响,为静态LCA提供了解决方案。本研究利用pLCA来评估玉米、芒草和藻类生物量在未来三种情况下三种SAF途径的脱碳潜力。芒草途径始终表现出最低的碳强度,从大约14 g CO2e MJ-1开始,到2050年在所有情景中保持这一低水平。这种稳定性归功于其更简单和更成熟的转换技术。相比之下,藻类和玉米途径最初的排放量较高(分别为98.1 g CO2e MJ-1和71.8 g CO2e MJ-1),到2050年将显著减少。具体而言,藻类和玉米基SAF分别降至33.1 g CO2e MJ-1和49 g CO2e MJ-1,特别是在积极的气候政策情景下。这些发现强调了pLCA对评估新兴技术的重要性,因为结果显示,从2020年到2050年,pLCA将发生显著变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Prospective Life Cycle Assessment of Sustainable Aviation Fuel Systems

Prospective Life Cycle Assessment of Sustainable Aviation Fuel Systems

Prospective Life Cycle Assessment of Sustainable Aviation Fuel Systems

Sustainable aviation fuels (SAFs) are critical for reducing the greenhouse gas emissions of aviation. However, many SAF feedstocks and biorefining technologies are still in the research and development stages, which complicates accurate predictions of their long-term environmental impacts through traditional life cycle assessments (LCAs). Prospective LCA (pLCA) methods, which use dynamic life cycle inventory models, offer a solution to static LCA by evaluating impacts within a future context. This study leverages pLCA to assess the decarbonization potential of three SAF pathways using corn, miscanthus, and algae biomass across three future scenarios. The miscanthus pathway consistently demonstrates the lowest carbon intensity, starting at approximately 14 g CO2e MJ–1 and maintaining this low level across all scenarios by 2050. This stability is attributed to its simpler and more mature conversion technology. In contrast, the algal and corn pathways, which initially present higher emissions (98.1 g CO2e MJ–1 and 71.8 g CO2e MJ–1 respectively), show significant reductions by 2050. Specifically, algal and corn-based SAF drop to 33.1 g CO2e MJ–1 and 49 g CO2e MJ–1, respectively, particularly under aggressive climate policy scenarios. These findings highlight the importance of pLCA for evaluating emerging technologies, as results are shown to significantly change from 2020 to 2050.

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
环境科学与技术
环境科学与技术 环境科学-工程:环境
CiteScore
17.50
自引率
9.60%
发文量
12359
审稿时长
2.8 months
期刊介绍: Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences. Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.
×
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:604180095
Book学术官方微信