scholarly journals Well-to-Wheels Approach for the Environmental Impact Assessment of Road Freight Services

2018 ◽  
Vol 10 (12) ◽  
pp. 4487 ◽  
Author(s):  
Jose Luis Osorio-Tejada ◽  
Eva Llera-Sastresa ◽  
Ahmad Hariza Hashim
Keyword(s):  
Road Transport ◽  
Emission Factors ◽  
Environmental Accounting ◽  
Operating Conditions ◽  
Vehicle Speed ◽  
Industrialized Countries ◽  
Heavy Vehicles ◽  
Fuel Production ◽  
Accounting Systems ◽  
Road Gradient

The diffuse nature of road transport and the heterogeneity of heavy vehicles have hindered the implementation of emissions accounting systems. Even though there are emission factors in well-known databases, these factors have commonly been designed in industrialized countries, which might have geography, type of roads, and operating conditions different to other countries. This paper proposes a method for the energy consumption and emissions estimation based on vehicle operating conditions in regions with different topology, such as Colombia, Malaysia, and Spain, as case studies. Moreover, the environmental impacts of fuel production in each country are calculated. The diesel consumption on mountainous roads for a full loaded rigid truck in Colombia was 45 L/100 km, compared to averages between 22–26 L/100 km from other sources usually applied. In contrast, the diesel consumption for an articulated truck on a hilly road in Spain from both the proposed method and generic databases coincided in 31 L/100 km. The vehicle speed, load, and road gradient also generated large variations up to 145% in the air pollutants’ estimation. This study contributes to the need for more research about emission factors and tools that facilitate and reduce uncertainty in the environmental accounting in freight companies in different geographies.

scholarly journals Analysis of exhaust emission measurements in rural conditions from heavy-duty vehicle

2020 ◽  
Vol 182 (3) ◽  
pp. 54-58
Author(s):  
Andrzej Ziółkowski ◽  
Paweł Fuć ◽  
Piotr Lijewski ◽  
Łukasz Rymaniak ◽  
Paweł Daszkiewicz ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Road Transport ◽  
Exhaust Emissions ◽  
Operating Conditions ◽  
Transport Sector ◽  
Exhaust Emission ◽  
Heavy Vehicles ◽  
Heavy Duty Vehicle ◽  
Emission Norm ◽  
Test Route

Road transport holds for the largest share in the freight transport sector in Europe. This work is carried out by heavy vehicles of various types. It is assumed that, in principle, transport should take place on the main road connections, such as motorways or national roads. Their share in the polish road infrastructure is not dominant. Rural and communal roads roads are the most prevalent. This fact formed the basis of the exhaust emissions and fuel consumption tests of heavy vehicles in real operating conditions. A set of vehicles (truck tractor with a semi-trailer) meeting the Euro V emission norm, transporting a load of 24,800 kg, was selected for the tests. The research was carried out on an non-urban route, the test route length was 22 km. A mobile Semtech DS instrument was used, which was used to measure the exhaust emissions. Based on the obtained results, the emission characteristics were determined in relation to the operating parameters of the vehicles drive system. Road emission, specific emission and fuel consumption values were also calculated.

scholarly journals Prediction of Exhaust Emission Costs in Air and Road Transportation

2019 ◽  
Vol 11 (17) ◽  
pp. 4688 ◽  
Author(s):  
Olja Čokorilo ◽  
Ivan Ivković ◽  
Snežana Kaplanović
Keyword(s):  
Carbon Dioxide ◽  
Road Transport ◽  
Structure Type ◽  
Influential Factors ◽  
Operating Conditions ◽  
Air Transport ◽  
Transport Sector ◽  
Exhaust Emission ◽  
Vehicle Speed ◽  
Road Transportation

In this paper, the calculation of exhaust emission costs originating from aircraft and road vehicles in the base year 2017 and in the forecasting year 2032, in the Republic of Serbia, was carried out. The presented methodology includes a number of influential factors for air transport (airport capacity, number of operations, aircraft type, relevant engine, range) and for road transport (changing of traffic volumes, design and operating speeds, the quality of the pavement structure, type of terrain and category of road sections, dependence of exhaust emission from changes in vehicle speed). It was found that in the current operating conditions, the dominant costs in the total exhaust emission costs are the costs of nitrogen oxides (61%) in road transport, whilst carbon dioxide costs are dominant in air transport (52%). In the future, carbon dioxide costs will have a share of over 80% in the road transport sector and over 58% in the air transport sector in total exhaust emission costs. The average exhaust emission costs per one aircraft operation (international flights) will range from 141 to 145€. In road transport, the average exhaust emission costs at 100 km in 2032 will range from 1.8 to 2.2€.

scholarly journals Modeling research of city bus fuel consumption for different driving cycles

2021 ◽  
Vol 2130 (1) ◽  
pp. 012001
Author(s):  
L Grabowski
Keyword(s):  
Carbon Dioxide ◽  
Fuel Consumption ◽  
Carbon Dioxide Emissions ◽  
Operating Conditions ◽  
Urban Traffic ◽  
Pollutant Emissions ◽  
Vehicle Speed ◽  
Traffic Conditions ◽  
Driving Cycles ◽  
Road Gradient

Abstract Simulation studies can be used to determine the fuel consumption and carbon dioxide emissions of city buses. The operating conditions of such vehicles are characterised by a very high variability of vehicle speed due to the large number of stops along the route of the bus. During vehicle testing, driving cycles are used to replicate the real-world conditions and to achieve repeatable test conditions. Such a driving cycle is a profile of speed represented as a function of time or as a function of distance. The speed profile over time can be an advantageous determinant, based on laboratory tests, for estimating fuel consumption and pollutant emissions of city buses. The research subject of this paper was the simulation of bus driving under simulated urban traffic conditions, carried out by means of the VECTO software. VECTO is a tool designed to perform the calculations of fuel consumption and carbon dioxide emissions of vehicles. It enables to model the powertrain of trucks and buses and to carry out simulations on various routes defined by driving cycles. The test object was a mega class bus, equipped with a 225 kW engine. The bus has three axles, including the rear drive axle. The scope of research included four cycles: urban, interurban, urbandelivery and interurban. Each of these was analysed in terms of speed and road gradient. The aim of this work was to perform a simulation study of the effect of the vehicle traffic conditions on the amount of CO2 emitted and fuel consumption. The obtained results were analysed.

scholarly journals Sensitivity Analysis of Emission Models of Parcel Lockers vs. Home Delivery Based on HBEFA

2021 ◽  
Vol 18 (12) ◽  
pp. 6325
Author(s):  
Maren Schnieder ◽  
Chris Hinde ◽  
Andrew West
Keyword(s):  
New York ◽  
Road Transport ◽  
Emission Factors ◽  
Home Delivery ◽  
Demand Model ◽  
External Effects ◽  
Last Mile ◽  
Emission Models ◽  
Home Deliveries ◽  
Parcel Deliveries

Global concerns about the environmental effects (e.g., pollution, land use, noise) of last-mile deliveries are increasing. Parcel lockers are seen as an option to reduce these external effects of last-mile deliveries. The contributions of this paper are threefold: firstly, the research studies simulating the emissions caused by parcel delivery to lockers are summarized. Secondly, a demand model for parcel deliveries in New York City (NYC) is created for 365 days and delivery trips to lockers and homes are optimized for 20 “real-world” scenarios. Thirdly, using the emission factors included in the HandBook Emission Factors for Road Transport (HBEFA) database, the maximum percentage of customers who could pick up a parcel by car from parcel lockers that would result in fewer total emissions (driving customers + walking customers) than if home deliveries were adopted is calculated for various pollutants and scenario assumptions (i.e., street types, temperature, parking duration, level of service and vehicle drivetrain). This paper highlights how small changes in the calibration can significantly change the results and therefore using average values for emission factors or only considering one pollutant like most studies may not be appropriate.

scholarly journals Non-Stoichiometric Redox Active Perovskite Materials for Solar Thermochemical Fuel Production: A Review

Catalysts ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. 611 ◽  
Author(s):  
Anita Haeussler ◽  
Stéphane Abanades ◽  
Julien Jouannaux ◽  
Anne Julbe
Keyword(s):  
Carbon Dioxide ◽  
Solar Energy ◽  
Energy Conversion ◽  
Operating Conditions ◽  
Solar Fuel ◽  
Fuel Production ◽  
Concentrated Solar Energy ◽  
Redox Active ◽  
Conversion Rates ◽  
Wide Range

Due to the requirement to develop carbon-free energy, solar energy conversion into chemical energy carriers is a promising solution. Thermochemical fuel production cycles are particularly interesting because they can convert carbon dioxide or water into CO or H2 with concentrated solar energy as a high-temperature process heat source. This process further valorizes and upgrades carbon dioxide into valuable and storable fuels. Development of redox active catalysts is the key challenge for the success of thermochemical cycles for solar-driven H2O and CO2 splitting. Ultimately, the achievement of economically viable solar fuel production relies on increasing the attainable solar-to-fuel energy conversion efficiency. This necessitates the discovery of novel redox-active and thermally-stable materials able to split H2O and CO2 with both high-fuel productivities and chemical conversion rates. Perovskites have recently emerged as promising reactive materials for this application as they feature high non-stoichiometric oxygen exchange capacities and diffusion rates while maintaining their crystallographic structure during cycling over a wide range of operating conditions and reduction extents. This paper provides an overview of the best performing perovskite formulations considered in recent studies, with special focus on their non-stoichiometry extent, their ability to produce solar fuel with high yield and performance stability, and the different methods developed to study the reaction kinetics.

The Impact of Electric Hybrid Compressor to Make Transport Environmentally Friendly

2013 ◽  
Vol 391 ◽  
pp. 207-212
Author(s):  
Maciej Bajerlein
Keyword(s):  
Energy Consumption ◽  
Operating Conditions ◽  
Vehicle Speed ◽  
Suspension Systems ◽  
Actual Operating ◽  
Vehicle Operation ◽  
Total Energy Balance ◽  
The Impact ◽  
Road Emission ◽  
Speed Engine

This paper presents the investigations, whose aim was to determine the influence of the operation of electric and mechanical compressors on the energy consumption of city buses in public transport. The tests were performed on pneumatic systems used in city transit vehicles whose underlying component is a compressor generating pressure for the brake and suspension systems. Owing to the application of a portable analyzer - SEMTECH DS the emissions (with a secondly resolution) of CO, HC, NOx, CO2 in the exhaust gases were measured. The on-road emission tests were performed in the actual operating conditions in SORT driving tests. These tests reflect the actual vehicle operation in a real task through preset procedures of their realization and measurements determining the energy consumption and exhaust emissions or the influence of the vehicle accessories and all variables (vehicle speed, engine load, acceleration or distance covered) on the total energy balance. The on-road tests were performed on a runway of the Bednary airstrip in Poland.

SYSTEMIC CONDITIONS OF EFFICIENCY AND DURABILITY OF ROAD TRANSPORT ENTERPRISES

2018 ◽  
Vol 73 ◽  
pp. 69-78
Author(s):  
Andrzej Letkiewicz ◽  
Michał Suchanek
Keyword(s):  
Decision Making ◽  
Road Transport ◽  
Management Systems ◽  
Accounting Systems ◽  
Record Keeping ◽  
Input And Output ◽  
Decision Making System ◽  
Decision Making Processes ◽  
Formal Strategy ◽  
Basic Input

The basic condition for the proper configuration of inputs and outputs in a transport company is the ability to optimise, build, and implement a strategy based on carefully selected components of the information and decision-making system, capable of taking into account the different optimisation criteria for each level and of gathering and generating information useful in the process of developing a strategy. Within this system, IT tools that increase the efficiency of the technical dimension of decision-making processes are useful. For Polish road transport companies, economically speaking, the basic input and output record-keeping systems are accounting systems, used by nearly 89% of the surveyed entities. In the operational context, 58% of the entities declare using resource management systems. Nearly 18% of the companies possess a formal strategy.

scholarly journals Rollover Warning for Articulated Heavy Vehicles Based on a Time-to-Rollover Metric

2004 ◽  
Vol 127 (3) ◽  
pp. 406-414 ◽  
Author(s):  
Bo-Chiuan Chen ◽  
Huei Peng
Keyword(s):  
Neural Network ◽  
Simple Model ◽  
Design Process ◽  
The Other ◽  
Roll Angle ◽  
Heavy Vehicle ◽  
Vehicle Speed ◽  
Heavy Vehicles ◽  
The One ◽  
Accuracy Problem

A Time-To-Rollover (TTR) metric is proposed as the basis to assess rollover threat for an articulated heavy vehicle. The TTR metric accurately “counts-down” toward rollover regardless of vehicle speed and steering patterns, so that the level of rollover threat is accurately assessed. There are two conflicting requirements in the implementation of TTR. On the one hand, a model significantly faster than real-time is needed. On the other hand, the TTR predicted by this model needs to be accurate enough under all driving scenarios. An innovative approach is proposed in this paper to solve this dilemma and the design process is illustrated in an example. First, a simple yet reasonably accurate yaw∕roll model is identified. A Neural Network (NN) is then developed to mitigate the accuracy problem of this simple model. The NN takes the TTR generated by the simple model, vehicle roll angle, and change of roll angle to generate an enhanced NN-TTR index. The NN was trained and verified under a variety of driving patterns. It was found that an accurate TTR is achieved across all the driving scenarios we tested.

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