Article
Environmental Sciences
Luiz C. Daemme, Renato Penteado, Rodrigo S. Ferreira, Marcelo R. Errera, Sergio M. Correa, Igor F. Ostapiuk
Summary: The use of varying ethanol-gasoline blends in GDI vehicles affects particulate matter emissions, with the quality and composition of emissions being dependent on the type of fuel used.
ATMOSPHERIC POLLUTION RESEARCH
(2021)
Article
Chemistry, Applied
Chenxi Wang, Yiqiang Pei, Zhijun Peng, Xiang Li
Summary: This study utilized the LIF method and PM spectrometer analyzer to investigate the effects of direct injection timing on fuel film characteristics and engine PM emissions. The results showed that both impingement distance and injection duration had significant impacts on the fuel film mass and area. Optimal direct injection timing can effectively reduce PM emissions.
FUEL PROCESSING TECHNOLOGY
(2022)
Article
Energy & Fuels
Nikhil Sharma, Avinash Kumar Agarwal
Summary: Optimizing fuel injection timings is crucial for reducing particulate emissions from GDI engines.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
(2022)
Article
Green & Sustainable Science & Technology
Xiang Li, Dayou Li, Jingyin Liu, Tahmina Ajmal, Abdel Aitouche, Raouf Mobasheri, Oyuna Rybdylova, Yiqiang Pei, Zhijun Peng
Summary: This paper systematically explores the potential benefits of Ethanol Direct Injection (EDI) timing and pressure on particulate emission characteristics in a Dual-Fuel Spark Ignition (DFSI) engine. The experimental results demonstrate that delaying EDI timing and increasing EDI pressure can significantly reduce both the number and mass concentration of particulate matter, as well as alter the size distribution of particles. The effect of EDI pressure on reducing particulate number is more prominent.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Thermodynamics
Ebrahim Nadimi, Grzegorz Przybyla, Terese Lovas, Grzegorz Peczkis, Wojciech Adamczyk
Summary: This study investigates the combustion, emissions, and engine performance of liquid ammonia compared to pure biodiesel in a diesel engine. The results show that increasing ammonia energy share can significantly reduce cylinder temperature but deteriorate indicated thermal efficiency. Furthermore, retarding ammonia injection timing can effectively reduce emissions of nitrogen oxides, carbon monoxide, and ammonia.
Article
Energy & Fuels
Yan Su, Yulin Zhang, Fangxi Xie, Jiaquan Duan, Xiaoping Li, Yu Liu
Summary: This study investigates the impact of ethanol blending on engine particulate matter, finding that E20 exhibits distinct behavior in exhaust particle emissions and soot volume fraction distribution.
Article
Energy & Fuels
Hayder A. Dhahad, Mohammed A. Fayad, Miqdam T. Chaichan, Alaa Abdulhady Jaber, T. Megaritis
Summary: The study found that there are differences in combustion characteristics and emissions between biodiesel and diesel under different engine conditions. Biodiesel showed better emission performance in some aspects compared to diesel, and advanced injection timing has a positive effect on reducing CO and THC but increases NOX emissions.
Article
Environmental Sciences
Sofia Caumo, Aleinnys B. Yera, Ana Vicente, Celia Alves, Deborah A. Roubicek, Perola de Castro Vasconcellos
Summary: Increased industrialization and fossil fuel consumption in the Metropolitan Region of Sao Paulo have led to an increase in particulate matter emissions and population health problems. A study found high concentrations of organic carbon, elemental carbon, and polycyclic aromatic hydrocarbons in this area, with benzo(a)pyrene being one of the most abundant compounds. Pesticide concentrations and estimated risks also suggest potential dangers to human health.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Environmental
Fei Yao, Paul Palmer
Summary: Reducing PM sources from residential, on-road, and energy sectors is the most effective approach to mitigate PV energy losses caused by PM. Deep cuts in emissions from these sectors can lead to significant increases in PV energy production in China and India.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Review
Environmental Sciences
Daniel Nicklin, Hamidreza Gohari Darabkhani
Summary: This review article provides an overview of methods for measuring mass concentration of particulate matter emissions from stationary sources, highlighting the importance of operator considerations and offering guidance for future research and equipment selection.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Environmental
Rishabh U. Shah, Lauren E. Padilla, Daniel R. Peters, Megan Dupuy-Todd, Elizabeth R. Fonseca, Geoffrey Q. Ma, Olalekan A. M. Popoola, Roderic L. Jones, Jim Mills, Nicholas A. Martin, Ramon A. Alvarez
Summary: This study conducted mobile measurements over a year to assess the concentration of LDSA, PM2.5, BC, and NO2 in central London. The results show that PM2.5 is not a reliable indicator of tailpipe emissions on major roadways, but higher concentrations of PM2.5 and NO2 are found in commercial neighborhoods with more restaurants. By isolating the impacts of traffic and restaurants, it is demonstrated that both sources have comparable effects on LDSA.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Review
Environmental Sciences
Bethan Owen, Julien G. Anet, Nicolas Bertier, Simon Christie, Michele Cremaschi, Stijn Dellaert, Jacinta Edebeli, Ulf Janicke, Jeroen Kuenen, Ling Lim, Etienne Terrenoire
Summary: This review article discusses the significance of particulate emissions from aircraft engines on ambient ultrafine particle concentration and identifies gaps in current knowledge. The article also reviews the current methods for emission inventory and dispersion modeling, and highlights the need for improvements and further research.
Article
Energy & Fuels
Seokwon Cho, Dario Lopez Pintor
Summary: This study investigates the effects of doping E10 gasoline with 2-ethlyhexyl nitrate (EHN) under homogeneous charge compression ignition conditions. Both experimental and numerical studies show that adding EHN reduces the required initial temperature and increases the production of 3-heptyl radicals, enhancing low-to-intermediate chemistry and accelerating OH production. However, an increase in NOx emissions is observed with increasing fuel-doping.
Article
Engineering, Mechanical
Bin Wang, Fangxi Xie, Jiaquan Duan, Yu Liu, Xiaoping Li, Yan Su
Summary: By optimizing the injection strategy and exhaust variable valve timing, it is possible to reduce the fuel consumption and emissions of a gasoline direct injection engine, while improving its performance.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Michael Barbour, Devin Udesen, Sam Bentson, Anamol Pundle, Casey Tackman, David Evitt, Paul Means, Peter Scott, Dean Still, John Kramlich, Jonathan D. Posner, Daniel Lieberman
Summary: Nearly 40% of the world's population relies on biomass stoves for indoor cooking, which can lead to harmful emissions. Proper air injection technology has been found to significantly reduce emissions and improve combustion efficiency. Forced air injection shows potential for both emission reductions and increased burn rate in biomass stoves.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2021)
Article
Energy & Fuels
Tawfik Badawy, Hongming Xu, Yanfei Li
Summary: This study investigates the impact of fuel temperature, ambient pressure, and fuel properties on the spray characteristics of a 6-hole gasoline direct injector. Results show that as the ambient/saturation pressure ratio decreases, spray width decreases and cone angle becomes smaller; interstitial streams appear in the spray at ratios below 0.28.
Article
Energy & Fuels
Ji Li, Quan Zhou, Huw Williams, Pu Xu, Hongming Xu, Guoxiang Lu
Summary: This paper proposes a new methodology of fuzzy-tree-constructed data-efficient modeling to precisely quantify the air mass flow through the engine, aiming to achieve better performance, lower emissions, and reduced fuel consumption.
Article
Energy & Fuels
Jingjing He, Hao Chen, Yisong Chen, Xin Su, Peng Zhang, Hongming Xu, Chenglong Zhou
Summary: The addition of cyclopentanol in diesel fuel improves the atomization and combustion characteristics, reducing soot formation and enhancing combustion efficiency. The effects vary with different injection pressures.
Article
Automation & Control Systems
Ji Li, Quan Zhou, Huw Williams, Hongming Xu, Changqing Du
Summary: This article proposes a new algorithm environment for the multiobjective optimization of energy management systems in plug-in hybrid vehicles. By using physical and virtual data and introducing a confidence factor, the proposed algorithm achieves more accurate optimization. Experimental results show that the proposed algorithm requires lower R&D costs and can save more energy compared to other methods.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Ji Li, Yingqi Gu, Chongming Wang, Mingming Liu, Quan Zhou, Guoxiang Lu, Duc Truong Pham, Hongming Xu
Summary: This paper presents a pedestrian-aware supervisory control system for connected hybrid electric vehicles, which aims to minimize pedestrians' exposure to vehicle emissions and pollutants.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Engineering, Electrical & Electronic
Ji Li, Quan Zhou, Yinglong He, Huw Williams, Hongming Xu, Guoxiang Lu
Summary: This article develops a distributed cooperative energy management system for plug-in hybrid electric vehicles, which can adaptively adjust power-split control parameters based on personalized driving behavior and vehicle state information. The proposed system demonstrates strong robustness in experimentation with offline optimization of personalized control parameters and real-time driving style recognition.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Energy & Fuels
Bingzheng Wang, Xiaoli Yu, Hongming Xu, Qian Wu, Lei Wang, Rui Huang, Zhi Li, Quan Zhou
Summary: This paper proposes a new concept of 'Vehicle-to-Micro-Grid (V2 mu G) network' and investigates its impact on energy efficiency and environmental impacts through rule-based energy management strategy, scenario analysis, and NSGA-II algorithm. The study suggests that V2 mu G network can reduce the battery degradation in BEV and carbon dioxide emissions.
Article
Thermodynamics
Yifei Gong, Xiao Ma, Kai Hong Luo, Hongming Xu, Shijin Shuai
Summary: This study investigates the evaporation of a multicomponent fuel droplet under supercritical conditions using molecular dynamics simulations. The study focuses on the effects of multicomponent ambient gases and the relative motion between the droplet and the ambient. The results show that the transition from evaporation to diffusion mode depends on the temperature, pressure, ambient gases, and relative velocities.
Article
Energy & Fuels
Jianshu Mao, Xiao Ma, Hongming Xu, Yanfei Li, Zhi Wang, Shijin Shuai
Summary: This study investigated the combustion characteristics and flame instability of Polyoxymethylene dimethyl ether (PODEn) as a diesel substitute fuel through experiments and numerical simulations. The results showed that the laminar burning speed of PODE3 decreased with initial pressure, and the laminar burning speed of PODE3/iso-octane blends was linearly related to the PODE3 volume fractions. In addition, PODE3 exhibited improved flame stability, and flame instability decreased with increased PODE3 volume fractions but increased with increased initial pressure and equivalence ratio.
Review
Energy & Fuels
Hao Chen, Hui Wang, Zhaoyang Chen, Huicong Zhao, Limin Geng, Nan Gao, Chengshan Yi, Hongming Xu
Summary: Polyoxymethylene dimethyl ethers (PODEn) is a promising blend fuel for diesel, which improves combustion efficiency, increases thermal efficiency, and reduces emissions.
Article
Chemistry, Applied
Hao Chen, Xin Su, Fengyu Sun, Jingjing He, Zhanming Chen, Peng Zhang, Hongming Xu
Summary: This study experimentally investigated the combustion and emission characteristics of a diesel engine fueled with diesel cyclopentanol blends. The addition of cyclopentanol altered the combustion process and resulted in changes in particle and NOx emissions.
FUEL PROCESSING TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Jianbo Wang, Hongming Xu, Xianjun Hou, Changqing Du, Quan Zhou
Summary: This article aims to develop an MoI-driven engine start-up method for a 4WD vehicle, achieving fuel consumption improvement and drivability optimization through modeling and optimization algorithms.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Thermodynamics
Ji Li, Quan Zhou, Xu He, Wan Chen, Hongming Xu
Summary: Under the dual thrust of decarbonisation and digitalisation, data-driven enabling technologies are suggested as the most promising solutions to accelerate the development of modern internal combustion engines (ICEs) by reducing experimental effort and model complexity. This paper outlines the progress in data-driven modelling of ICEs, including data acquisition methods, data processing methods, machine learning methods, and model validation methods, while also analysing the challenges in establishing ICE models with high accuracy and robustness for real-time control. The perspectives on versatility, practicality, and autonomy are presented, and the use of physics/data-enhanced machine learning and digital twin technology is recommended to empower soft sensors used for modern ICEs.
Article
Automation & Control Systems
Ji Li, Quan Zhou, Huw Williams, Guoxiang Lu, Hongming Xu
Summary: Accurately predicting soft sensors is crucial for the development of modern combustion engines to achieve better performance, lower emissions, and reduced fuel consumption. In this article, a novel data-driven approach called statistics-guided accelerated swarm feature selection is proposed to find the most effective features for engine soft sensors.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Metallurgy & Metallurgical Engineering
Shuai Bin, Li Yan-fei, Zhou Quan, Xu Hong-ming, Shuai Shi-jin
Summary: This paper studied a supervisory control system for a hybrid off-highway electric vehicle and proposed a new predictive double Q-learning with backup models scheme (PDQL) to improve energy efficiency. Experimental evaluations showed that PDQL achieved better energy efficiency in fewer learning iterations compared to the standard double Q-learning scheme.
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2022)