Real World Fleet Test to Determine the Impact of Low Viscosity Engine Oils from Heavy-Duty CNG and Diesel Buses - Part I: Fuel Consumption

2017 ◽  
Author(s):  
Bernardo Tormos ◽  
Leonardo Ramirez ◽  
Guillermo Miró ◽  
Tomás Pérez
Keyword(s):  
Fuel Consumption ◽  
Real World ◽  
Heavy Duty ◽  
Engine Oils ◽  
Low Viscosity ◽  
Diesel Buses ◽  
The Impact

Fuel consumption and friction benefits of low viscosity engine oils for heavy duty applications

2017 ◽  
Vol 110 ◽  
pp. 23-34 ◽  
Author(s):  
Bernardo Tormos ◽  
Leonardo Ramírez ◽  
Jens Johansson ◽  
Marcus Björling ◽  
Roland Larsson
Keyword(s):  
Fuel Consumption ◽  
Heavy Duty ◽  
Engine Oils ◽  
Low Viscosity

scholarly journals Characterization of Real-World Pollutant Emissions and Fuel Consumption of Heavy-Duty Diesel Trucks with Latest Emissions Control

Atmosphere ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 535 ◽  
Author(s):  
Christos Keramydas ◽  
Leonidas Ntziachristos ◽  
Christos Tziourtzioumis ◽  
Georgios Papadopoulos ◽  
Ting-Shek Lo ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Real World ◽  
Emission Factors ◽  
Pollutant Emissions ◽  
Particulate Filter ◽  
Emission Measurement ◽  
Heavy Duty ◽  
Heavy Duty Diesel ◽  
Diesel Trucks ◽  
The Impact

Heavy-duty diesel trucks (HDDTs) comprise a key source of road transport emissions and energy consumption worldwide mainly due to the growth of road freight traffic during the last two decades. Addressing their air pollutant and greenhouse gas emissions is therefore required, while accurate emission factors are needed to logistically optimize their operation. This study characterizes real-world emissions and fuel consumption (FC) of HDDTs and investigates the factors that affect their performance. Twenty-two diesel-fueled, Euro IV to Euro VI, HDDTs of six different manufacturers were measured in the road network of the Hong Kong metropolitan area, using portable emission measurement systems (PEMS). The testing routes included urban, highway and mixed urban/highway driving. The data collected corresponds to a wide range of driving, operating, and ambient conditions. Real-world distance- and energy-based emission levels are presented in a comparative manner to capture the effect of after-treatment technologies and the role of the evolution of Euro standards on emissions performance. The emission factors’ uncertainty is analyzed. The impact of speed, road grade and vehicle weight loading on FC and emissions is investigated. An analysis of diesel particulate filter (DPF) regenerations and ammonia (NH3) slip events are presented along with the study of Nitrous oxide (N2O) formation. The results reveal deviations of real-world HDDTs emissions from emission limits, as well as the significant impact of different operating and driving factors on their performance. The occasional high levels of N2O emissions from selective catalytic reduction equipped HDDTs is also revealed, an issue that has not been thoroughly considered so far.

scholarly journals Low viscosity engine oils: Study of wear effects and oil key parameters in a heavy duty engine fleet test

2016 ◽  
Vol 94 ◽  
pp. 240-248 ◽  
Author(s):  
Vicente Macián ◽  
Bernardo Tormos ◽  
Santiago Ruiz ◽  
Guillermo Miró
Keyword(s):  
Heavy Duty ◽  
Engine Oils ◽  
Low Viscosity

scholarly journals Analysis of Real-World Fuel Consumption Characteristics of Heavy-Duty Commercial Diesel Vehicle Based on OBD Method

2020 ◽  
Vol 774 ◽  
pp. 012137
Author(s):  
Weinan He ◽  
Ying Cheng ◽  
Ying Liu ◽  
Changyuan Wang ◽  
Xiyu Fang ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Real World ◽  
Heavy Duty ◽  
Diesel Vehicle

Life Cycle Assessment of Complex Heavy Duty Equipment

2012 ◽  
Author(s):  
Minjung Kwak ◽  
Louis Kim ◽  
Obaid Sarvana ◽  
Harrison M. Kim ◽  
Peter Finamore ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Impact ◽  
Fuel Consumption ◽  
Sensitivity Analyses ◽  
Load Factor ◽  
Heavy Duty ◽  
Fuel Consumption Rate ◽  
Usage Patterns ◽  
The Impact

This paper presents a comprehensive life cycle assessment (LCA) study of heavy duty off-road equipment. The machine studied here is a typical piece of diesel construction machinery equipped with the iT4 (interim Tier 4) certified diesel engine. Two life cycle impact assessment methods, Eco-Indicator 99 and IPCC 2007, are used to calculate the environmental impact and global warming potential associated with the machine’s life cycle, from material extraction to end-of-life recycling and disposal. Due to fuel consumption and emissions, machine utilization during the usage phase is expected to account for most of the total environmental impact. However, the impact from usage can vary greatly, depending on how customers use the machine. To take into account various machine usage patterns, this LCA study performs two sensitivity analyses, varying the load factor and varying the fuel consumption rate, respectively.

scholarly journals Estimation of Real-world Fuel Consumption Rate of Light-duty Vehicles Based on Big Data

2021 ◽  
Author(s):  
Isabella Yunfei Zeng ◽  
Shiqi Tan ◽  
Jianliang Xiong ◽  
Xuesong Ding ◽  
Yawen Li ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Real World ◽  
Consumption Rate ◽  
Effective Control ◽  
Fuel Consumption Rate ◽  
Light Duty ◽  
Light Duty Vehicle ◽  
Light Duty Vehicles ◽  
The Impact ◽  
Engine Power

Private vehicle travel is the most basic mode of transportation, and the effective control of the real-world fuel consumption rate of light-duty vehicles plays a vital role in promoting sustainable economic development as well as achieving a green low-carbon society. Therefore, the impact factors of individual carbon emission must be elucidated. This study builds five different models to estimate real-world fuel consumption rate of light-duty vehicles in China. The results reveal that the Light Gradient Boosting Machine (LightGBM) model performs better than the linear regression, Naïve Bayes regression, Neural Network regression, and Decision Tree regression models, with mean absolute error of 0.911 L/100 km, mean absolute percentage error of 10.4%, mean square error of 1.536, and R squared (R2) of 0.642. This study also assesses a large number of factors, from which three most important factors are extracted, namely, reference fuel consumption rate value, engine power and light-duty vehicle brand. Furthermore, a comparative analysis reveals that the vehicle factors with greater impact on real-world fuel consumption rate are vehicle brand, engine power, and engine displacement. Average air pressure, average temperature, and sunshine time are the three most important climate factors.

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