Fuel consumption and CO2 emissions of passenger cars over the New Worldwide Harmonized Test Protocol

Uncertainty of data during environmental monitoring prevents with confidently and objectively assessing the current condition of the environment, the influence of factors affecting the fuel consumption of vehicles during operation. In addition, it creates a serious problem in assessing the dynamics of this condition, especially when it comes to relatively small levels of pollution that are on the verge of the sensitivity of systems and devices in the car. It is precisely these tasks that include the determination of atmospheric pollution by emissions from road transport in conditions of variable weather and climatic conditions, carrying out routine maintenance, changing a configuration of an engine or transmission. The article discusses: a) factors related to the characteristics and vehicle systems, with the maintenance of vehicles. This category focuses on fuel consumption and CO2 emissions, which depend on the technical and operational characteristics of the vehicle, its weight and aerodynamics, tires and auxiliary systems, the quality and timeliness of maintenance and repairs; b) factors related to the environment and traffic conditions (weather conditions, road morphology and traffic conditions); c) factors related to a driver of a vehicle (driver qualifications, driving style). Optimization of factors related to vehicle systems and their characteristics has been performed; by using fuel of optimum quality and driving efficiently, you can achieve savings in fuel (financial) consumption and CO2 emissions. The article proposes the solution to a complex problem of managing the transport process while minimizing fuel consumption and CO2 emissions from passenger cars, depending on the road and climatic conditions and the driver's qualifications, based on the theory of fuzzy sets. This approach made it possible to largely compensate for the lack of objective information about the process due to its uncertainty by subjective expert data.

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CO2 control by means of the increased penetration of diesel passenger cars in Finland

Global NEST Journal ◽

10.30955/gnj.000475 ◽

2013 ◽

Vol 10 (2) ◽

pp. 174-182

Keyword(s):

European Union ◽

Fuel Consumption ◽

Co2 Emissions ◽

The Other ◽

Transport Sector ◽

The European Union ◽

Passenger Cars ◽

Passenger Car

One efficient way to control the CO2 emissions from the transport sector is the replacement of gasoline passenger cars by Diesel ones, which emit less CO2. This can be more effective in Finland, where the Diesel penetration is only 13.6%, which is very low compared to the other member countries of the European Union. The benefit in CO2 emitted from the new passenger cars is studied in the case of an increased Diesel penetration in this country, after several scenarios using the current and estimated future passenger car registrations and the fuel consumption. The results show that, in the case of new passenger cars, a CO2 benefit of more than 2.6% can be achieved, if a Diesel penetration higher than 30% occurs in the case of the current fleet. If the penetration reaches 50%, this benefit reaches 5.9%. Future total CO2 emissions from transport sector will increase significantly and can be partially controlled by the introduction of Diesel passenger cars or the replacement of heavy passenger cars by lighter ones.

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Electrification and Automation of Manual Gearbox Technology to Reduce Fuel Consumption and CO2-Emissions of Passenger Cars

10.4271/2019-26-0140 ◽

2019 ◽

Author(s):

Andre Uhle

Keyword(s):

Fuel Consumption ◽

Co2 Emissions ◽

Reduce Fuel Consumption ◽

Passenger Cars ◽

Manual Gearbox

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The Use of a Water/Lube Oil Heat Exchanger and Enhanced Cooling Water Heating to Increase Water and Lube Oil Heating Rates in Passenger Cars for Reduced Fuel Consumption and CO2 Emissions During Cold Start.

10.4271/2007-01-2067 ◽

2007 ◽

Cited By ~ 29

Author(s):

Gordon E. Andrews ◽

Ali. M. Ounzain ◽

Hu Li ◽

Margaret Bell ◽

James Tate ◽

...

Keyword(s):

Heat Exchanger ◽

Fuel Consumption ◽

Co2 Emissions ◽

Cooling Water ◽

Cold Start ◽

Water Heating ◽

Heating Rates ◽

Passenger Cars

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Using Quantile Regression to Analyze the Relationship between Socioeconomic Indicators and Carbon Dioxide Emissions in G20 Countries

Sustainability ◽

10.3390/su13137011 ◽

2021 ◽

Vol 13 (13) ◽

pp. 7011

Author(s):

Abdulaziz A. Alotaibi ◽

Naif Alajlan

Keyword(s):

Carbon Dioxide ◽

Quantile Regression ◽

Fuel Consumption ◽

Co2 Emissions ◽

Fossil Fuel ◽

Trade Openness ◽

Policy Coordination ◽

Socioeconomic Indicators ◽

Control Variables ◽

Fossil Fuel Consumption

Numerous studies addressed the impacts of social development and economic growth on the environment. This paper presents a study about the inclusive impact of social and economic factors on the environment by analyzing the association between carbon dioxide (CO2) emissions and two socioeconomic indicators, namely, Human Development Index (HDI) and Legatum Prosperity Index (LPI), under the Environmental Kuznets Curve (EKC) framework. To this end, we developed a two-stage methodology. At first, a multivariate model was constructed that accurately explains CO2 emissions by selecting the appropriate set of control variables based on model quality statistics. The control variables include GDP per capita, urbanization, fossil fuel consumption, and trade openness. Then, quantile regression was used to empirically analyze the inclusive relationship between CO2 emissions and the socioeconomic indicators, which revealed many interesting results. First, decreasing CO2 emissions was coupled with inclusive socioeconomic development. Both LPI and HDI had a negative marginal relationship with CO2 emissions at quantiles from 0.2 to 1. Second, the EKC hypothesis was valid for G20 countries during the study period with an inflection point around quantile 0.15. Third, the fossil fuel consumption had a significant positive relation with CO2 emissions, whereas urbanization and trade openness had a negative relation during the study period. Finally, this study empirically indicates that effective policies and policy coordination on broad social, living, and economic dimensions can lead to reductions in CO2 emissions while preserving inclusive growth.

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