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Battery Electric Bus System Schedule-Based Optimization

delete2021-10-22
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PRE
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M
Mohammad Kharouf *
M
Morad Abdelaziz
DOI:10.1109/EPEC52095.2021.9621449delete
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Abstract

Abstract

En 中文
Battery electric buses are a promising substitute for diesel buses that can help in reducing GHG emissions. In order to help municipalities and transit authorities in making informed decisions about their transit bus system electrification, this work presents a mixed integer linear programming model that is developed to find the optimal transit bus system electrification decisions taking into consideration the actual operation bus schedule and electric utility demand charges. The proposed model identifies the optimal size of each bus battery, the type and distribution of fast charging infrastructure, as well as energy storage systems capacity and location. The ideal combination of flash and opportunity charging modes is considered in the model.
Keywords:
Battery electric buses
fast-charging stations
demand charges
energy storage systems
schedule-based optimization
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

I
IEEE Electrical Power and Energy Conference
IF:
0
Papers:
35
Citations:
0

Organization

U
University of British Columbia
Scholars:
7.0W
Papers: 6.1W
Citations: 8.6W
Cited Papers

Cited Papers

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Real-world performance of battery electric buses and their life-cycle benefits with respect to energy consumption and carbon dioxide emissions
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err2016-02-01
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errZhou, Boya; Wu, Ye; Zhou, Bin; Wang, Renjie; Ke, Wenwei; Zhang, Shaojun; Hao, Jiming
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Computationally efficient model for energy demand prediction of electric city bus in varying operating conditions
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IF9.4
err2019-02-01
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errVepsalainen, Jari; Otto, Kevin; Lajunen, Antti; Tammi, Kari
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