A tool for rapid simulation and sizing of hybrid traction systems with fuel cells

Author:

Pugi Luca1ORCID,Berzi Lorenzo1ORCID,Cirillo Francesco2,Vecchi Alessandro2,Pagliazzi Viola2

Affiliation:

1. Dept. of Industrial Engineering, University of Florence, Italy

2. Hitachi Rail SPA, Italy

Abstract

Diesel multiple units (DMU) offer an affordable alternative to electric trains on lines in which infrastructural and maintenance costs of electrification are not justified. A further improvement of sustainability involves the abandonment of internal combustion engines in favour of an electric power train sustained by an on-board storage system. In this work, the authors propose a model to perform a rapid simulation of hybrid storage systems based on hydrogen fuel cells,a technology that should be complementary with respect to battery-operated trains. The proposed tool is applied, as a benchmark test case, to a modular passenger train devoted to regional service. Obtained results clearly demonstrate the capabilities of proposed tools and give useful indications for a feasible optimization and integration of fuel cells for railway applications.

Publisher

SAGE Publications

Subject

Mechanical Engineering

Reference45 articles.

1. Techno-economic analysis of freight railway electrification by overhead line, hydrogen and batteries: Case studies in Norway and USA

2. Development and control of a rail vehicle model to reduce energy consumption and carbon dioxide emissions

3. Psgenkopf J, Bohm M, Hass JL, et al. Analysis of German diesel operated regional railway lines’ patterns with regard to the application of battery and fuel cell electric trains. In: The Fourth International Conference on Railway Technology - Railways 2018, September 2018.

4. Speed profile optimization of catenary-free electric trains with lithium-ion batteries

5. Fuel cell hybrid powertrains for use in Southern Italian railways

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3