Direct and Indirect Environmental Aspects of an Electric Bus Fleet Under Service

Varga, Bogdan Ovidiu; Mariașiu, Florin; Miclea, Cristian Daniel; Szabo, Ioan; Sirca, Anamaria Andreea; Vlad, Nicolae

doi:10.3390/en13020336

Cited by 22 publications

(18 citation statements)

References 32 publications

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“…Table 4 presents a comparison with other assessments on the influence of moving to electric vehicles. Minet [46] applied an approach based on changes in emissions when assessing the effects in São Paulo (Brazil) and Cluj-Napoca (Romania), respectively. These assessments, summarized in Table 4, reported decreases in NOx emissions.…”

Section: Shift From Diesel To Electric Busesmentioning

confidence: 99%

Insights for Air Quality Management from Modeling and Record Studies in Cuenca, Ecuador

Parra

Espinoza

2020

Atmosphere

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On-road traffic is the primary source of air pollutants in Cuenca (2500 m. a.s.l.), an Andean city in Ecuador. Most of the buses in the country run on diesel, emitting high amounts of NOx (NO + NO2) and PM2.5, among other air pollutants. Currently, an electric tram system is beginning to operate in this city, accompanied by new routes for urban buses, changing the spatial distribution of the city’s emissions, and alleviating the impact in the historic center. The Ecuadorian energy efficiency law requires that all vehicles incorporated into the public transportation system must be electric by 2025. As an early and preliminary assessment of the impact of this shift, we simulated the air quality during two scenarios: (1) A reference scenario corresponding to buses running on diesel (DB) and (2) the future scenario with electric buses (EB). We used the Eulerian Weather Research and Forecasting with Chemistry (WRF-Chem) model for simulating the air quality during September, based on the last available emission inventory (year 2014). The difference in the results of the two scenarios (DB-EB) showed decreases in the daily maximum hourly NO2 (between 0.8 to 16.4 µg m−3, median 7.1 µg m−3), and in the 24-h mean PM2.5 (0.2 to 1.8 µg m−3, median 0.9 µg m−3) concentrations. However, the daily maximum 8-h mean ozone (O3) increased (1.1 to 8.0 µg m−3, median 3.5 µg m−3). Apart from the primary air quality benefits acquired due to decreases in NO2 and PM2.5 levels, and owing to the volatile organic compounds (VOC)-limited regime for O3 production in this city, modeling suggests that VOC controls should accompany future NOx reduction for avoiding increases in O3. Modeled tendencies of these pollutants when moving from the DB to EB scenario were consistent with the tendencies observed during the COVID-19 lockdown in this city, which is a unique reference for appreciating the potentiality and identifying insights for air quality improvements. This consistency supports the approach and results of this contribution, which provides early insights into the effects on air quality due to the recent operability of the electric tram and the future shift from diesel to electric buses in Cuenca.

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Section: Shift From Diesel To Electric Busesmentioning

confidence: 99%

Insights for Air Quality Management from Modeling and Record Studies in Cuenca, Ecuador

Parra

Espinoza

2020

Atmosphere

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“…In terms of environmental impact assessment, Todorut et al [4] believe that public transport needs to alleviate the problem of carbon emission pollution and use CO 2 emissions as an evaluation indicator for pure electric buses. Subsequently, Varga et al [5] increased the NOx emission indicator. On this basis, Shauna et al [6] used fuel economy and emission efficiency as evaluation indicators, conducted comparison experiments between pure electric buses and diesel buses in the cities of Nevada and Iowa, and found that the fuel economy of electric buses increased by at least 29%.…”

Section: Introductionmentioning

confidence: 99%

Research on Application Performance Index System of Pure Electric Buses Based on Extensible Cloud Model

Zheng

Zhao

et al. 2022

WEVJ

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In order to help select high-quality electric buses, we established a performance index system for pure electric buses based on an extensible cloud model. With the rapid development of electric buses, choosing a suitable pure electric bus considering its applicability is challenging. Based on the analysis of the characteristics of the passenger car industry, a preliminary evaluation index system for pure electric passenger cars was constructed. The preliminary indicator system was formed based on the optimization of the main points of current laws and regulations, and divided into four aspects: safety assistance system, comfort, convenience, and economy. Then, the index system was determined from multiple perspectives, and the analytic hierarchy process and the entropy weight method were applied to determine the comprehensive weight. Meanwhile, the evaluation level of the index system of pure electric buses was calculated by the extensible cloud model. At last, six electric buses were selected from Chinese electric bus companies as examples to determine the relevant level. The results show that the method has satisfactory feasibility and applicability in the comprehensive evaluation and that it provides a reference for pure electric bus selection based on application performance.

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“…The authors of the study [8] work on a real case by monitoring an electric bus fleet and analyzing the direct and indirect environmental aspects impacting the emission and health of citizens in Cluj-Napoca, Romania. Study [9] presents a new paradigm regarding Electric Vehicles (EVs) and the management distribution grids.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Transportation Systems for Electric Vehicles

Elvas

Ferreira

2021

Energies

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Direct and Indirect Environmental Aspects of an Electric Bus Fleet Under Service

Cited by 22 publications

References 32 publications

Insights for Air Quality Management from Modeling and Record Studies in Cuenca, Ecuador

Insights for Air Quality Management from Modeling and Record Studies in Cuenca, Ecuador

Research on Application Performance Index System of Pure Electric Buses Based on Extensible Cloud Model

Intelligent Transportation Systems for Electric Vehicles

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