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The road freight transport sector is one of the main responsible for the air pollution (as the case of particulate matter) and greenhouse gases emissions worldwide. Different types of fuel technologies have been developed in order to improve efficiency, reduce air pollution impacts, such as the case of liquefied natural gas (LNG) for heavy-duty vehicles. Many studies show the relationship between the effects of short and long-term exposure to particulate matter (PM) and, according to the World Health Organization (WHO), premature deaths worldwide as well as cardiorespiratory diseases in elderly population are related to this pollutant. In this context, this paper aims at evaluating the atmospheric dispersion of PM in a stretch of a highway (Anhanguera-Bandeirantes) in the São Paulo State in Brazil due to the road freight transport considering the use of diesel and LNG in heavy-duty vehicles and the impacts on human health. The software AERMOD designed by U.S.

This paper presents a Well-to-Wheels (WTW) analysis of equivalent carbon dioxide (CO2eq) emissions in different scenarios of replacement of a conventional taxi fleet by electric vehicles. Two battery electric vehicles and one hybrid electric vehicle were used in the comparison with the conventional vehicle fleet. A numeric model was developed to evaluate CO2eq emissions in the fuel production, electricity supply, and vehicle operation phases. Gasoline and sugarcane ethanol were considered as fuels for the conventional and hybrid electric vehicles. Six scenarios of conventional vehicles replacement by electric vehicles in the taxi fleet were evaluated. The results showed that the replacement of nearly 13% of the current taxi fleet of a major city by the three electric vehicle models considered in the analysis could reduce CO2eq emissions by about 6%. If the entire fleet was replaced in a 5 years period, CO2eq emission could reach a reduction up to 82%.

In Brazil, since the purchase cost of an electric vehicle (EV) is still very high, the exchange of a conventional vehicle by an EV would only be worth if the vehicle was used as source income, such as the case of taxis. Short run distances and high daily mileage make conventional taxis ideal candidates to be replaced by battery EVs. Recently, São Paulo and Rio de Janeiro received EVs as a test project, but other major cities, such as Belo Horizonte, have yet to be tested. The taxi fleet in this city has currently 7,152 vehicles, all powered by internal combustion engines, significantly contributing to equivalent carbon dioxide (CO2eq) emissions since the daily distance traveled is high. With the aim to characterize the fleet and evaluate taxi driver’s option to EVs, data was collected from a systematic sample of taxi stands, of a total of 375, through a structured interview with the drivers, considering a finite and homogeneous population.

In a scenario with growing population, increasing demand for energy and volatile prices of fossil fuel, there is a high incentive for the use of biofuels, especially those produced from waste material. In this context, second and third generation bioethanol (2G/3G) are interesting alternatives, as they can be produced from different raw material such as corn and rice straw, sugarcane bagasse, waste from pulp industry and microalgae. This paper presents an overview of the available technologies for both 2G and 3G bioethanol production, including lignocellulosic biomass feedstock, biocatalysts and cogeneration processes.