An estimation of heavy-duty vehicle fleet CO2 emissions based on sampled data

Zacharof, Nikiforos; Fontaras, Georgios; Ciuffo, Biagio; Tansini, Alessandro; Prado-Rujas, Ignacio-Iker

doi:10.1016/j.trd.2021.102784

Cited by 18 publications

(6 citation statements)

References 16 publications

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“…In addition to the above, emissions, specifically CO 2 , have been analyzed from different perspectives, initially taking information about the vehicle, either in the field with real data of both the complete vehicle or some components of several different vehicles, as well as taking theoretical statistical data of the vehicle components to later carry out simulations, obtaining as a result that both methods showed good performances in representing global fleet trends and therefore are acceptable for short-and long-term prediction studies [32]. On the other hand, CO 2 emissions have also been analyzed from the perspective of the road, obtaining that roads without sudden changes in curvature or slopes allow for smoother and more efficient driving resulting in a reduction in vehicle emissions; that is, a consistent road leads to lower emissions, regardless of the vehicle [33].…”

Section: Generation Of Polluting Emissionsmentioning

confidence: 99%

Measurement of Road Transport Emissions, Case Study: Centinela-La Rumorosa Road, Baja California, México

Calderón-Ramírez,

Gutiérrez-Moreno,

Montoya-Alcaraz

et al. 2024

Applied Sciences

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Air pollution is a global issue, and the transportation sector is recognized as the third-largest contributor to anthropogenic greenhouse gas emissions. Vehicles emit a range of chemical compounds because of the combustion process. The nature and quantity of these emissions depend on the vehicle’s characteristics, the road, and weather conditions. These emissions require special attention due to the adverse effects contributing to global warming and human health. In this regard, diagnosing and monitoring air quality is crucial for understanding the number of emissions generated by various sources. However, in developing countries, the necessary data for conducting such analyses are not always available. The purpose of this study is to estimate emissions specifically generated from road operations. To achieve this, the HDM-4 calculation tool is utilized to estimate emissions. This tool was applied in Baja California, Mexico, on the Centinela-La Rumorosa highway. The results obtained show that annually, 372.5 tons of pollutant emissions are generated, composed of HC, CO, CO2, NOx, PM, SO2, and PB, covering a mere 128 km of length within a state road network spanning 11,429 km. This highlights the necessity of implementing strategies to reduce the environmental impact generated by vehicular operations on roads in developing countries.

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Section: Generation Of Polluting Emissionsmentioning

confidence: 99%

Measurement of Road Transport Emissions, Case Study: Centinela-La Rumorosa Road, Baja California, México

Calderón-Ramírez,

Gutiérrez-Moreno,

Montoya-Alcaraz

et al. 2024

Applied Sciences

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“…Mining production reports forecast that diesel consumption for hauling will remain a significant share of operating costs [ 4 ]. Consequently, assessing fuel consumption parameters to identify measures to improve fuel consumption can reduce operating costs and environmental impacts like GHG emissions from mining [ 4 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Energy and exergy assessment of heavy-duty mining trucks. Discussion of saving opportunities

Ibañez Noriega,

Sagastume Gutiérrez,

Cabello Eras

2024

Heliyon

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“…Therefore, the GB / T 27840-2011 "Fuel consumption test method for heavy-duty commercial vehicles" requires that the chassis dynamometer method be used to measure the fuel consumption for basic vehicles, and the simulation calculation method can be used for variant vehicles [4] . Software simulation calculation method is also widely used in developed countries , such as the GEM (Greenhouse Gas Emission Model) in the United States and the VECTO (Vehicle Energy Consumption Calculation Tool) in the European Union [5][6][7][8][9] .…”

Section: Introductionmentioning

confidence: 99%

Fuel consumption comparison of heavy-duty commercial vehicles under CHTC and C-WTVC cycles based on VECTO

Wang

Jing

et al. 2022

E3S Web Conf.

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In this paper, the simulation method of calculating the fuel consumption of heavy-duty commercial vehicles based on VECTO (Vehicle Energy Consumption Calculation Tool) was introduced, and the fuel consumption of four vehicles under C-WTVC and CHTC cycles was calculated with VECTO. The differences between C-WTVC and CHTC cycles were analyzed by comparing the characteristic parameters, and the fuel consumption map and driving acceleration of two cycles were compared, so as to explore the influence of different test cycles on fuel consumption. The results show that compared with the C-WTVC cycle, the fuel consumption of CHTC cycle increases by 17.08g/km~28.12g/km, with an increase of 6.42%~17.26%. Most of the engine working points in the CHTC cycle work in the middle and low speed and torque regions and the acceleration range of CHTC cycle is wider are important reasons for the increase of fuel consumption.

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An estimation of heavy-duty vehicle fleet CO2 emissions based on sampled data

Cited by 18 publications

References 16 publications

Measurement of Road Transport Emissions, Case Study: Centinela-La Rumorosa Road, Baja California, México

Measurement of Road Transport Emissions, Case Study: Centinela-La Rumorosa Road, Baja California, México

Energy and exergy assessment of heavy-duty mining trucks. Discussion of saving opportunities

Fuel consumption comparison of heavy-duty commercial vehicles under CHTC and C-WTVC cycles based on VECTO

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