Charging system analysis, energy consumption, and carbon dioxide emissions of battery electric buses in Beijing
Bus rides have become a routine choice for the large population to travel in Beijing. By the end of November 2020, 82.84% of all buses in Beijing had switched to electric vehicles. A solution to the problem of charging a huge number of battery electric buses (BEBs) in urban areas, especially in crow...
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2021-08-01
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doaj-b20ad5cbb1f74ed68747fad2422fb7262021-07-09T04:44:13ZengElsevierCase Studies in Thermal Engineering2214-157X2021-08-0126101197Charging system analysis, energy consumption, and carbon dioxide emissions of battery electric buses in BeijingXinxin Zhang0Shangyang Nie1Maogang He2Jingfu Wang3MOE Key Laboratory of Enhanced Heat Transfer and Energy Conservation, Beijing University of Technology, Beijing 100124, PR China; Beijing Key Laboratory of Heat Transfer and Energy Conversion, Beijing University of Technology, Beijing, 100124, PR China; Corresponding author. MOE Key Laboratory of Enhanced Heat Transfer and Energy Conservation, Beijing University of Technology, Beijing 100124, PR ChinaMOE Key Laboratory of Enhanced Heat Transfer and Energy Conservation, Beijing University of Technology, Beijing 100124, PR China; Beijing Key Laboratory of Heat Transfer and Energy Conversion, Beijing University of Technology, Beijing, 100124, PR ChinaMOE Key Laboratory of Thermo-Fluid Science and Engineering, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, 710049, ChinaMOE Key Laboratory of Enhanced Heat Transfer and Energy Conservation, Beijing University of Technology, Beijing 100124, PR China; Beijing Key Laboratory of Heat Transfer and Energy Conversion, Beijing University of Technology, Beijing, 100124, PR ChinaBus rides have become a routine choice for the large population to travel in Beijing. By the end of November 2020, 82.84% of all buses in Beijing had switched to electric vehicles. A solution to the problem of charging a huge number of battery electric buses (BEBs) in urban areas, especially in crowded cities with large populations, has to be found. In the present paper, a calculation model based on the levelized cost of electricity (LCOE) is established for comparison and analysis of the BEB charging. The calculation results show that the hybrid charging mode is economically feasible. Moreover, from the perspectives of optimizing operation shifts and responding to emergency situations, hybrid charging mode is applicable to the current electric bus system. The calculation results also show that the use of BEBs as the main ground public transportation in Beijing can substantially reduce CO2 emissions and save huge fuel costs. Its application is a very wise choice. The analogy calculation on Tongzhou District, the sub center of Beijing which is under construction, shows that the use of BEBs in Tongzhou can reduce CO2 emissions by about 34.6% on average compared with fuel buses. The population is the main influencing factor of analogy calculation.http://www.sciencedirect.com/science/article/pii/S2214157X21003609Charging systemEnergy consumptionCarbon dioxide emissionBattery electric busBeijing cityTongzhou district |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xinxin Zhang Shangyang Nie Maogang He Jingfu Wang |
spellingShingle |
Xinxin Zhang Shangyang Nie Maogang He Jingfu Wang Charging system analysis, energy consumption, and carbon dioxide emissions of battery electric buses in Beijing Case Studies in Thermal Engineering Charging system Energy consumption Carbon dioxide emission Battery electric bus Beijing city Tongzhou district |
author_facet |
Xinxin Zhang Shangyang Nie Maogang He Jingfu Wang |
author_sort |
Xinxin Zhang |
title |
Charging system analysis, energy consumption, and carbon dioxide emissions of battery electric buses in Beijing |
title_short |
Charging system analysis, energy consumption, and carbon dioxide emissions of battery electric buses in Beijing |
title_full |
Charging system analysis, energy consumption, and carbon dioxide emissions of battery electric buses in Beijing |
title_fullStr |
Charging system analysis, energy consumption, and carbon dioxide emissions of battery electric buses in Beijing |
title_full_unstemmed |
Charging system analysis, energy consumption, and carbon dioxide emissions of battery electric buses in Beijing |
title_sort |
charging system analysis, energy consumption, and carbon dioxide emissions of battery electric buses in beijing |
publisher |
Elsevier |
series |
Case Studies in Thermal Engineering |
issn |
2214-157X |
publishDate |
2021-08-01 |
description |
Bus rides have become a routine choice for the large population to travel in Beijing. By the end of November 2020, 82.84% of all buses in Beijing had switched to electric vehicles. A solution to the problem of charging a huge number of battery electric buses (BEBs) in urban areas, especially in crowded cities with large populations, has to be found. In the present paper, a calculation model based on the levelized cost of electricity (LCOE) is established for comparison and analysis of the BEB charging. The calculation results show that the hybrid charging mode is economically feasible. Moreover, from the perspectives of optimizing operation shifts and responding to emergency situations, hybrid charging mode is applicable to the current electric bus system. The calculation results also show that the use of BEBs as the main ground public transportation in Beijing can substantially reduce CO2 emissions and save huge fuel costs. Its application is a very wise choice. The analogy calculation on Tongzhou District, the sub center of Beijing which is under construction, shows that the use of BEBs in Tongzhou can reduce CO2 emissions by about 34.6% on average compared with fuel buses. The population is the main influencing factor of analogy calculation. |
topic |
Charging system Energy consumption Carbon dioxide emission Battery electric bus Beijing city Tongzhou district |
url |
http://www.sciencedirect.com/science/article/pii/S2214157X21003609 |
work_keys_str_mv |
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