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高等教育车队电气化的多尺度生命周期与技术经济框架。

A multi-scale lifecycle and technoeconomic framework for higher education fleet electrification.

作者信息

Juang Jason, Williams Wyatt Green, Ramshankar Arjun T, Schmidt John, Xuan Kendrick, Bozeman Joe F

机构信息

College of Business, Georgia Institute of Technology, Atlanta, GA, 30322, USA.

Georgia Institute of Technology, Civil and Environmental Engineering, Atlanta, GA, 30322, USA.

出版信息

Sci Rep. 2024 Feb 28;14(1):4938. doi: 10.1038/s41598-024-54752-z.

Abstract

Transportation accounts for one-quarter of all energy related greenhouse gas emissions. As it pertains to transport electrification, higher education institutions-such as universities-can model solutions that affect broader society. Despite this, higher education's role in fleet electrification adoption has been understudied. We, therefore, modeled an archetypical higher education institution to analyze the carbon and economic payback periods of three electrification scenarios (Business-as-Usual, Targeted Electrification, and Full Electrification) using a cradle-to-grave lifecycle and technoeconomic approach. Given the archetypical higher education institution fleet of 368 vehicles, results show an economic ratio plateau point of about 8 years at 20 fuel-based cars replaced by electric vehicles and a carbon payback period peak of roughly 10 months at 50 fuel-based cars replaced. We then performed a multi-scalar analysis by leveraging implementation theory. We find that higher education institutions that adhere to the tenets of implementation theory are poised to be pro-environmental change agents in many regions and countries. The methods and findings herein can be adapted to other institutions, regardless of fleet size, and can bolster relevant decision-making outcomes now.

摘要

交通运输占所有与能源相关的温室气体排放的四分之一。就交通电气化而言,高等教育机构,如大学,可以塑造影响更广泛社会的解决方案。尽管如此,高等教育在车队电气化采用方面的作用尚未得到充分研究。因此,我们构建了一个典型的高等教育机构模型,采用从摇篮到坟墓的生命周期和技术经济方法,分析三种电气化情景(照常营业、有针对性的电气化和全面电气化)的碳回收期和经济回收期。对于拥有368辆车的典型高等教育机构车队,结果显示,当20辆燃油汽车被电动汽车取代时,经济比率平稳点约为8年;当50辆燃油汽车被取代时,碳回收期峰值约为10个月。然后,我们利用实施理论进行了多尺度分析。我们发现,坚持实施理论原则的高等教育机构有能力在许多地区和国家成为促进环境变化的推动者。本文的方法和研究结果可适用于其他机构,无论车队规模如何,并且现在可以加强相关的决策结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a6a/10901860/a5c96b88b341/41598_2024_54752_Fig1_HTML.jpg

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