Variability of fuel consumption and CO2 emissions of a gasoline passenger car under multiple in-laboratory and on-road testing conditions

Author(s):  
Boya Zhou ◽  
Liqiang He ◽  
Shijian Zhang ◽  
Rui Wang ◽  
Luowei Zhang ◽  
...  
2013 ◽  
Vol 10 (2) ◽  
pp. 174-182

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.


2021 ◽  
Vol 13 (13) ◽  
pp. 7011
Author(s):  
Abdulaziz A. Alotaibi ◽  
Naif Alajlan

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.


Author(s):  
Rencheng Zhu ◽  
Jingnan Hu ◽  
Xiaofeng Bao ◽  
Liqiang He ◽  
Lei Zu ◽  
...  

Energy Policy ◽  
2012 ◽  
Vol 40 ◽  
pp. 422-431 ◽  
Author(s):  
Andreas Ziegler ◽  
Julia Schwarzkopf ◽  
Volker H. Hoffmann

Energy Policy ◽  
2012 ◽  
Vol 41 ◽  
pp. 66-74 ◽  
Author(s):  
Ina Meyer ◽  
Serguei Kaniovski ◽  
Jürgen Scheffran
Keyword(s):  

2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Alessio Facello ◽  
Eugenio Cavallo ◽  
Raffaele Spinelli

Air pollution and fossil fuel reserves exhaustion are increasing the importance of the biomass-derived products, in particular wood, as source of clean and renewable energy for the production of electricity or steam. In order to improve the global efficiency and the entire production chain, we have to evaluate the energetic aspects linked to the process of transformation, handling and transport of these materials. This paper reports results on a comparison between two chippers of similar size using different cutting technology: disc and drum tool respectively. During trials, fuel consumption, PTO torque and speed, processing time and weight of processed material were recorded. Power demand, fuel consumption, specific energy and productivity were computed. The machine was fed with four different feedstock types (chestnut logs, poplar logs, poplar branches, poplar sawmill residues). 15 repetitions for each combination of feedstock-tool were carried out. The results of this study show that the disc tool requires, depending on the processed material, from 12 to 18% less fuel per unit of material processed than the drum tool, and consequently, from 12 to 16% less specific energy. In particular, the highest difference between tools was found in branches processing whereas the smallest was in poplar logs. Furthermore the results of the investigation indicate, that, in testing conditions, the productivity of drum tool is higher (8%) than disc tool.


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