Public Transit Fleet and Energy Transition: A Road Towards Net-Zero

公共交通车队和能源转型：迈向净零之路

• 批准号: 577243-2022
• 负责人: Mérida, WalterWR
• 金额: $ 36.06万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=760014
• 关键词: Public; Transit; Fleet; Energy; Transition

In this Alliance Missions project, we partner with TransLink, BC Hydro, and the Vancouver Economic Commission (VEC) to develop novel and unique datasets and models that will inform transportation sector GHG emission reduction strategies in the context of new propulsion technologies integration in public transit fleets. The $24M Hydrogen Hub on UBC Vancouver campus is a comprehensive testbed research platform for the integration, testing, and deployment of smart and renewable energy technologies for clean, connected, and safe transportation. This project will develop a Digital Twin of the testbed and expand it to an integrated platform that will simulate transportation routes, processes, operations, and related energy requirements for the public transit fleet to and from the UBC campus. This will allow the development of modeled scenarios for estimating potential GHG emission reductions vis-à-vis possible fuel switching approaches (e.g., battery, fuel cells) across the TransLink fleet. With crucial data provided in-kind by our partners on bus fleet routes to/from UBC (e.g. energy consumption, ridership, GHG emission inventories, operational and scheduling - TransLink) and on electrical grid features (e.g. feeders layout and loadings, transformer size/location - BC Hydro), we will develop machine learning (ML)-based scenarios quantifying anticipated fleet-scale GHG emission reductions in the event of increased EV/FC bus adoption. We will also map power requirements and anticipated constraints across the electric/transportation grids needed to sustain increased uptake of EV/FC buses. In parallel we will estimate costs associated with different scenarios, and investigate equitable mechanisms to minimize impact on end users through a socioeconomic analysis of the processes modeled on the Digital Twin. We anticipate that this study will result in the production of software, models and scenarios that will assist our partners in assessing the most effective pathways to decarbonize bus fleets, anticipate future infrastructural needs, and enable decision-making based on approaches that ensure equity and affordability for communities and end-users.

在这个联盟使命项目中，我们与TransLink、BC Hydro和温哥华经济委员会（VEC）合作，开发新颖独特的数据集和模型，在公共交通车队集成新推进技术的背景下，为交通部门的温室气体减排战略提供信息。位于UBC温哥华校区的价值2400万美元的氢能中心是一个综合性的试验台研究平台，用于集成、测试和部署智能和可再生能源技术，以实现清洁、互联和安全的交通。该项目将开发测试平台的数字孪生模型，并将其扩展为一个集成平台，模拟往返UBC校园的公共交通车队的运输路线、流程、运营和相关能源需求。这将有助于制定模拟情景，以维斯维斯可能的燃料转换办法（例如，电池、燃料电池）。通过我们的合作伙伴提供的关于往返UBC的巴士车队路线的实物关键数据（例如，能源消耗、乘客量、温室气体排放清单、运营和调度- TransLink）和电网特征（例如馈线布局和负载、Transformer尺寸/位置- BC Hydro），我们将开发基于机器学习（ML）的情景，量化在电动汽车/燃料电池公交车采用增加的情况下预期的车队规模温室气体减排量。我们还将绘制电力需求和预期的限制，以维持EV/FC公交车的增加。与此同时，我们将估计与不同场景相关的成本，并通过对数字孪生模型的过程进行社会经济分析，研究公平的机制，以最大限度地减少对最终用户的影响。我们预计，这项研究将产生软件，模型和场景，帮助我们的合作伙伴评估最有效的公交车脱碳途径，预测未来的基础设施需求，并根据确保社区和最终用户公平和负担能力的方法进行决策。