Giorgio Martini
Agip
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Featured researches published by Giorgio Martini.
Aerosol Science and Technology | 2012
Barouch Giechaskiel; Athanasios Mamakos; Jon Andersson; Panagiota Dilara; Giorgio Martini; Wolfgang Schindler; Alexander Bergmann
In 2011, the European Commission introduced a limit for nonvolatile particle number (PN) emissions >23 nm from light-duty (LD) vehicles and the stated intent is to implement similar legislation for on-road heavy-duty (HD) engines at the next legislative stage. This paper reviews the recent literature regarding the operation-dependent emission of PN from LD vehicles and HD engines, and the measurement procedure used for regulatory purposes. The repeatability of the PN method is of the order of 5% and higher scatter of the results can easily be explained by the effect of the vehicles or the aftertreatment devices on the PN emissions (e.g., the fill state of the diesel particulate filters). Reproducibility remains an issue since it may exceed 30%. These high-variability levels are mainly associated with calibration uncertainties of the PN instruments. Correlation measurements between the full-flow dilution tunnels (constant-volume samplers, CVS) and the proportional partial-flow dilution systems (PFDS) showed agreement within 15% for the PN method down to 1 × 1011 p/kWh. At lower concentrations, the PN background of the CVS and/or the PFDS can result in larger inconsistencies. The filter-based particulate matter (PM) mass and the PN emissions correlate well down to 1–2 mg/km for LD vehicles and to 2–3 mg/kWh for HD applications. The correlation improves when only elemental carbon mass is considered: it is relatively good down to 0.1–0.3 mg/km or mg/kWh. Copyright 2012 American Association for Aerosol Research
Science of The Total Environment | 2014
Georgios Fontaras; Vicente Franco; Panagiota Dilara; Giorgio Martini; Urbano Manfredi
The emissions of CO2 and regulated pollutants (NOx, HC, CO, PM) of thirteen Euro 5 compliant passenger cars (seven gasoline, six Diesel) were measured on a chassis dynamometer. The vehicles were driven repeatedly over the European type-approval driving cycle (NEDC) and the more dynamic WMTC and CADC driving cycles. Distance-specific emission factors were derived for each pollutant and sub-cycle, and these were subsequently compared to the corresponding emission factors provided by the reference European models used for vehicle emission inventory compilation (COPERT and HBEFA) and put in context with the applicable European emission limits. The measured emissions stayed below the legal emission limits when the type-approval cycle (NEDC) was used. Over the more dynamic cycles (considered more representative of real-world driving) the emissions were consistently higher but in most cases remained below the type-approval limit. The high NOx emissions of Diesel vehicles under real-world driving conditions remain the main cause for environmental concern regarding the emission profile of Euro 5 passenger cars. Measured emissions of NOx exceeded the type-approval limits (up to 5 times in extreme cases) and presented significantly increased average values (0.35 g/km for urban driving and 0.56 g/km for motorway driving). The comparison with the reference models showed good correlation in all cases, a positive finding considering the importance of these tools in emission monitoring and policy-making processes.
Science of The Total Environment | 2012
Georgios Fontaras; Giorgio Martini; Urbano Manfredi; Alessandro Marotta; A. Krasenbrink; Francesco Maffioletti; Roberto Terenghi; Mauro Colombo
This paper summarizes the results of an extensive experimental study aiming to evaluate the performance and pollutant emissions of diesel and CNG waste collection trucks under realistic and controlled operating conditions in order to support a fleet renewal initiative in the city of Milan. Four vehicles (1 diesel and 3 CNG) were tested in two phases using a portable emission measurement system. The first phase included real world operation in the city of Milan while the second involved controlled conditions in a closed track. Emissions recorded from the diesel truck were on average 2.4 kg/km for CO(2), 0.21 g/km for HC, 7.4 g/km for CO, 32.3 g/km for NO(x) and 46.4 mg/km for PM. For the CNG the values were 3.6 kg/km for CO(2), 2.19 g/km for HC, 15.8 g/km for CO, 4.38 g/km for NO(x) and 11.4 mg/km for PM. CNG vehicles presented an important advantage with regards to NO(x) and PM emissions but lack the efficiency of their diesel counterparts when it comes to CO, HC and particularly greenhouse gas emissions. This tradeoff needs to be carefully analyzed prior to deciding if a fleet should be shifted towards either technology. In addition it was shown that existing emission factors, used in Europe for environmental assessment studies, reflect well the operation for CNG but were not so accurate when it came to the diesel engine truck particularly for CO(2) and NO(x). With regard to NO(x), it was also shown that the limits imposed by current emission standards are not necessarily reflected in real world operation, under which the diesel vehicle presented almost 4 times higher emissions. Regarding CO(2), appropriate use of PEMS data and vehicle information allows for accurate emission monitoring through computer simulation.
Analytica Chimica Acta | 2012
M. Clairotte; Thomas Adam; R. Chirico; B. Giechaskiel; U. Manfredi; M. Elsasser; Martin Sklorz; P. F. DeCarlo; Maarten F. Heringa; Ralf Zimmermann; Giorgio Martini; A. Krasenbrink; A. Vicet; E. Tournié; André S. H. Prévôt; C. Astorga
Two-stroke mopeds are a popular and convenient mean of transport in particular in the highly populated cities. These vehicles can emit potentially toxic gaseous and aerosol pollutants due to their engine technology. The legislative measurements of moped emissions are based on offline methods; however, the online characterization of gas and particulate phases offers great possibilities to understand aerosol formation mechanism and to adapt future emission standards. The purpose of this work was to study the emission behavior of two mopeds complying with different European emission standards (EURO-1 and EURO-2). A sophisticated set of online analyzers was applied to simultaneously monitor the gas phase and particulate phase of exhaust on a real time basis. The gaseous emission was analyzed with a high resolution Fourier transform infrared spectrometer (FTIR; nitrogen species) and a resonance-enhanced multiphoton ionization time-of-flight mass spectrometer (REMPI-ToF-MS; polycyclic aromatic hydrocarbons: PAH), whereas the particulate phase was chemically characterized by a high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS; organic, nitrate and chloride aerosol) and a multiangle absorption photometer (MAAP; black carbon). The physical characterization of the aerosol was carried out with a condensation particle counter (CPC; particle number concentration) and a fast mobility particle sizer (FMPS; size distribution in real time). In order to extract underlying correlation between gas and solid emissions, principal component analysis was applied to the comprehensive online dataset. Multivariate analysis highlighted the considerable effect of the exhaust temperature on the particles and heavy PAH emissions. The results showed that the after-treatment used to comply with the latest EURO-2 emission standard may be responsible for the production of more potentially harmful particles compared to the EURO-1 moped emissions.
Transportmetrica | 2015
Elena Paffumi; Michele De Gennaro; Giorgio Martini; Harald Scholz
To integrate electromobility into modern urban mobility, it is necessary to assess the usability and potential of hybrid, plug-in and battery electric vehicles (BEVs) to meet urban mobility requirements, as well as their impact on electric distribution grid. Despite the progress that has been made in this field over the last decade, many technical issues still need to be addressed. This paper presents the results of a large-scale analysis of real-world driving data from activity databases, anonymously collected by Global Positioning System devices installed on conventional fuel vehicles. These data were processed to derive whether different types of BEVs and recharging strategies can meet urban mobility needs. The impact of the electric energy demand on the grid from a partially electrified urban fleet has also been addressed. The study involves approximately 28,000 vehicles, 4.5 million trips and 36 million kilometres in the Italian provinces of Modena and Firenze, monitored over a one-month period (i.e. May 2011). The results can contribute to assess the future integration of the electromobility in urban environment, their impact on the electric energy demand profile as well as possible scenarios for future European transport policies.
Biomarkers | 2009
Giorgio Martini; Barouch Giechaskiel; Panagiota Dilara
Traffic-related emissions of fine particles represent one of the main sources of air pollution especially in urban areas. In particular, diesel engines are blamed as one of the main contributors for their inherent high particulate emissions. In order to reduce the impact on human health of particulate emissions from vehicles, new stricter emission standards were considered necessary for Europe. The introduction of very low particulate emission limits has required the development of an improved measurement procedure for particulate mass and a new measurement procedure for particle number. The Particle Measurement Programme (PMP) was established in 2001 on the initiative of some European states to achieve this target. The interlaboratory comparison exercise for light duty vehicles, co-managed by the Joint Research Centre (JRC) of the European Commission and the UK Department of Transport, was completed in 2007, and the results have provided the scientific basis for the new Euro 5/6 limits for particle number and particulate mass. The heavy-duty interlaboratory exercise was started in the second half of 2007 with an exploratory work carried out at the JRC and is still on-going.
Analytical Chemistry | 2011
Thomas Adam; R. Chirico; M. Clairotte; M. Elsasser; U. Manfredi; Giorgio Martini; Martin Sklorz; Thorsten Streibel; Maarten F. Heringa; P. F. DeCarlo; U. Baltensperger; G. De Santi; A. Krasenbrink; Ralf Zimmermann; André S. H. Prévôt; C. Astorga
The European Commission recently established a novel test facility for heavy-duty vehicles to enhance more sustainable transport. The facility enables the study of energy efficiency of various fuels/scenarios as well as the chemical composition of evolved exhaust emissions. Sophisticated instrumentation for real-time analysis of the gas and particulate phases of exhaust has been implemented. Thereby, gas-phase characterization was carried out by a Fourier transform infrared spectrometer (FT-IR; carbonyls, nitrogen-containing species, small hydrocarbons) and a resonance-enhanced multiphoton ionization time-of-flight mass spectrometer (REMPI-TOFMS; monocyclic and polycyclic aromatic hydrocarbons). For analysis of the particulate phase, a high-resolution time-of-flight aerosol mass spectrometer (HR-TOF-AMS; organic matter, chloride, nitrate), a condensation particle counter (CPC; particle number), and a multiangle absorption photometer (MAAP; black carbon) were applied. In this paper, the first application of the new facility in combination with the described instruments is presented, whereby a medium-size truck was investigated by applying different driving cycles. The goal was simultaneous chemical characterization of a great variety of gaseous compounds and particulate matter in exhaust on a real-time basis. The time-resolved data allowed new approaches to view the results; for example, emission factors were normalized to time-resolved consumption of fuel and were related to emission factors evolved during high speeds. Compounds could be identified that followed the fuel consumption, others showed very different behavior. In particular, engine cold start, engine ignition (unburned fuel), and high-speed events resulted in unique emission patterns.
Science of The Total Environment | 2014
Giorgio Martini; Elena Paffumi; Michele De Gennaro; Giorgos Mellios
This paper presents an evaluation of the European type-approval test procedure for evaporative emissions from passenger cars based on real-world mobility data. The study relies on two large databases of driving patterns from conventional fuel vehicles collected by means of on-board GPS systems in the Italian provinces of Modena and Firenze. Approximately 28,000 vehicles were monitored, corresponding to approximately 36 million kilometres over a period of one month. The driving pattern of each vehicle was processed to derive the relation between trip length and parking duration, and the rate of occurrence of parking events against multiple evaporative cycles, defined on the basis of the type-approval test procedure as 12-hour diurnal time windows. These results are used as input for an emission simulation model, which calculates the total evaporative emissions given the characteristics of the evaporative emission control system of the vehicle and the ambient temperature conditions. The results suggest that the evaporative emission control system, fitted to the vehicles from Euro 3 step and optimised for the current type-approval test procedure, could not efficiently work under real-world conditions, resulting in evaporative emissions well above the type-approval limit, especially for small size vehicles and warm climate conditions. This calls for a revision of the type-approval test procedure in order to address real-world evaporative emissions.
Big Data Research | 2016
Michele De Gennaro; Elena Paffumi; Giorgio Martini
Abstract Big data is among the most promising research trends of the decade, drawing attention from every segment of the market and society. This paper provides the scientific community with a comprehensive overview of the applications of a data processing platform designed to harness the potential of big data in the field of road transport policies in Europe. This platform relies on datasets of driving and mobility patterns collected by means of navigation systems. Two datasets from conventional fuel vehicles collected with on-board GPS systems have been used to perform an initial pilot study and develop its core algorithms. They consist of 4.5 million trips and parking events recorded by monitoring 28,000 vehicles over one month. The presented analyses address: (1) large-scale mobility statistics, (2) potential of electric vehicles in replacing conventional fuel vehicles and related modal shift, (3) energy demand coming from electric vehicles, (4) smart design of the recharge infrastructure and Vehicle-to-Grid, and (5) real-world driving and evaporative emissions assessment and mapping. The developed methodology and the presented outcomes demonstrate the potential of big data for policy assessment and better governance, focusing on the challenges and on the huge opportunities offered for future developments. This paper ultimately aims to show how big data can inspire smart policies together with public and private investments to enable the large scale deployment of the next generation of green vehicles, offering an unprecedented opportunity to shape policies for future mobility and smart cities.
Environmental Science & Technology | 2010
Thomas Adam; A. Farfaletti; L. Montero; Giorgio Martini; U. Manfredi; Bo Larsen; G. De Santi; A. Krasenbrink; C. Astorga
In view of a new amendment to the European legislative regulation on emissions from two-stroke mopeds a study was carried out to comprehensively characterize exhaust gases of mopeds complying current EURO-2 emission standards. Three mopeds with different engine types (carburetor, direct injection, and electronic carburetion system ECS) where investigated by applying two different driving cycles, the legislative cycle ECE47 and the worldwide motorcycle test cycle WMTC. Thereby, particulate matter (PM), regulated compounds, carbonyls, volatile hydrocarbons (VOC), and particle-associated polyaromatic hydrocarbons (PAH) were analyzed and ozone formation potentials (OFP) as well as toxicity equivalents (TEQ) determined. The ECE47 emission factors for almost all species and moped types were much higher in the nonregulated, prior cold phase than in the hot phase, which is considered for legislation. Great differences for the mopeds could be observed for NO(x), VOC, and PM, whereas discrepancies between the driving cycles ECE47 and WMTC were smaller. In addition, a positive influence on exhaust composition caused by technical modifications of the ECS engine was determined. Results indicate that regulation of total hydrocarbons (THC) alone might not be sufficient to regulate PM, especially for direct injection engines. Moreover, recommendations for a revised future test protocol are demonstrated and discussed, whereby the cold phase and the hot phase are taken into account.