Article
Environmental Studies
A. Chatzipanagi, J. Pavlovic, M. A. Ktistakis, D. Komnos, G. Fontaras
Summary: This study analyzed vehicle data from the European Union (EU) in 2019 and 2020 to examine the impact of the introduction of the WLTP on CO2 emissions. The results showed that the average increase in CO2 emissions for all vehicles sold in 2020 was 21% for passenger cars and 27% for vans. Diesel vehicles were more affected than gasoline vehicles, and the impact on hybrid vehicles varied between different years.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Chemistry, Physical
Aidin Teimouri, Kaveh Zayer Kabeh, Sina Changizian, Pouria Ahmadi, Mehdi Mortazavi
Summary: This research study analyzes the role of personal vehicles in transportation and investigates the performance and emissions of different types of vehicles under different driving conditions. The results show that hydrogen fuel cell vehicles perform the best in terms of overall performance and emissions.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Energy & Fuels
Mao Lin, Xiaoteng Zhang, Mingsheng Wen, Chuanqi Zhang, Xiangen Kong, Zhiyang Jin, Zunqing Zheng, Haifeng Liu
Summary: Upgrading fuel quality has become one of the most important trends in the development of internal combustion engines in order to meet stricter emissions and fuel consumption regulations. This study found that adding unconventional additives to gasoline can decrease fuel consumption and gaseous emissions, as well as shorten acceleration time.
Article
Engineering, Civil
Minrui Zhao, Hongni Gao, Qi Han, Jiaang Ge, Wei Wang, Jue Qu
Summary: The driving cycle is a speed-to-time curve developed based on firsthand driving data, which goes through a series of processes including data preprocessing, smoothing, interpolation, kinematic fragment extraction, feature parameter evaluation, clustering, and optimization to select the optimal fragments for development. The experiment result indicates that the developed driving cycle accurately represents the kinematic features of the experiment car.
JOURNAL OF ADVANCED TRANSPORTATION
(2021)
Article
Environmental Studies
Weichang Yuan, Christopher Frey, Tongchuan Wei
Summary: Eco-driving has the potential to reduce fuel consumption and emissions for light-duty gasoline vehicles. This study quantifies the potential reduction of fuel consumption and emission rates at the route and segment level through eco-driving. The results show that eco-driving can reduce fuel consumption and emission rates by 6-40% compared to average rates. Moreover, eco-driving typically reduces air emissions and may also reduce segment-level fuel consumption and emission rates.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Engineering, Environmental
Yu Gan, Zifeng Lu, Qingru Wu, Xin He, Qiang Dai, Jarod C. Kelly, Sharath K. Ankathi, Michael Wang
Summary: China's promotion of vehicle electrification has led to an increase in mercury emissions. With current technologies, the life-cycle mercury emissions of battery electric vehicles are 92% higher than conventional gasoline vehicles, primarily due to high mercury emissions from coal-based electricity generation. Measures such as decarbonizing the electric grid and implementing mercury-specific emission control can help mitigate this unintended increase in mercury emissions caused by vehicle electrification.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Article
Chemistry, Physical
Ozgun Balci, Yasin Karagoz, Sefa Kale, Seckin Damar, Azade Attar, Hasan Koten, Ahmet Selim Dalkilic, Somchai Wongwises
Summary: Researchers are interested in investigating vehicles with alternative power sources due to current environmental concerns on nitrogen oxides and particulate matter emissions caused by diesel engines. SI engine models were adopted in the study, with different engine models for different vehicle types and detailed analysis on emissions and fuel consumption.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Environmental Sciences
Liang Qu, Weiwei Wang, Mengliang Li, Xiaohong Xu, Zongbo Shi, Hongjun Mao, Taosheng Jin
Summary: Vehicle types, technologies, and driving conditions play crucial roles in determining emission factors and fuel consumption. Vehicles with carburetor technology exhibit significantly higher emission factors and fuel consumption compared to vehicles with multipoint injection technology and exhaust gas recirculation devices. The correlation between vehicle-specific power and fuel consumption rate is significant in impacting emissions.
ATMOSPHERIC POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Yuhan Huang, Elvin C. Y. Ng, John L. Zhou, Nic C. Surawski, Xingcai Lu, Bo Du, Hugh Forehead, Pascal Perez, Edward F. C. Chan
Summary: The study found that novice drivers are less skilled or more aggressive in using the accelerator pedal compared to experienced drivers, leading to slightly higher fuel consumption rates for novices and significant exceedance of NOx and PM emissions limits for some drivers. The experimental results suggest that driver experience is not a key factor in influencing fuel consumption performance.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Thermodynamics
Hector Climent, Vicente Dolz, Benjamin Pla, David Gonzalez-Dominguez
Summary: The increased concern for environmental problems has led to the electrification of passenger cars, primarily through hybrid powertrains. Automotive manufacturers have chosen hybrids due to limitations and cost factors of battery electric vehicles and diesel vehicles. The exhaust gas recirculation (EGR) strategy reduces fuel consumption and CO2 emissions in gasoline engines. This research aimed to quantify the fuel saving achieved with EGR in a gasoline-electric hybrid powertrain under driving cycle conditions.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Thermodynamics
Yuepeng Cui, Fumin Zou, Hao Xu, Zhihui Chen, Kuangmin Gong
Summary: The lack of representativeness in existing driving cycles has led to concerns about the increasing gap between real-world fuel consumption and type-approval. This study proposes a novel data-driven driving cycle development method to improve the representativeness of driving cycles. The research finds significant differences in cycle parameters under different driving conditions, resulting in a large deviation in fuel consumption rate estimation.
Article
Economics
Pengfei Fan, Hang Yin, Hongyu Lu, Yizheng Wu, Zhiqiang Zhai, Lei Yu, Guohua Song
Summary: This study confirms the gap in vehicle fuel consumption between in-laboratory and real-world driving conditions and identifies the contributions of different factors to the gap. The fuel consumption rate, engine load, and road grade discrepancies contribute to 20.7%, 17.0%, and 3.2% of the gap, respectively. The findings highlight the importance of developing more realistic test procedures to evaluate vehicle economy.
Article
Green & Sustainable Science & Technology
Triluck Kusalaphirom, Thaned Satiennam, Wichuda Satiennam, Atthapol Seedam
Summary: This research focuses on developing a real-world eco-driving cycle for motorcycles to reduce fuel consumption and CO2 emissions, using onboard measuring equipment to collect real-world data and analyzing it to show the benefits of the eco-driving cycle compared to non-eco-driving cycles.
Article
Thermodynamics
Pataparambath Noyalraj Shanu, Subramaniam Senthilkumar
Summary: The study focuses on the development of Dual Control Strategy (DCS) for a retrofitted 48 V P3 hybrid AMT vehicle to improve performance and fuel economy. By considering mode shift decision, optimal torque distribution, and global constraints, the vehicle achieves better driving performance and real-time fuel economy in Bangalore city Driving Cycle (BDC).
Article
Environmental Sciences
Yuan -Chung Lin, Sheng-Lun Lin, Syu-Ruei Jhang, Kang-Shin Chen, Chaio-Wen Su, Chien -Er Huang
Summary: Adding hydrogen as an alternative fuel can reduce tailpipe emissions from combustion engines, with better results observed under urban driving conditions.
AEROSOL AND AIR QUALITY RESEARCH
(2022)
Article
Energy & Fuels
Du Wang, Changwei Ji, Shuofeng Wang, Jinxin Yang, Zhe Wang
Article
Energy & Fuels
Du Wang, Changwei Ji, Shuofeng Wang, Zhe Wang, Jinxin Yang, Qankun Zhao
Article
Energy & Fuels
Huipeng Niu, Changwei Ji, Shuofeng Wang, Du Wang, Yongyi Bai, Chen Liang
Summary: The subzero start-up of PEMFC faces challenges due to water freezing during the oxygen reduction reaction, affecting the active sites and gas diffusion. Sensitivity analysis showed that the cold start process is most influenced by R-BP/CL and lambda(ini), and can be improved by adjusting these factors. Additionally, adjusting V-ini, T-in, epsilon(CL), omega(CL), theta(mem), and rho c(pBP) can also contribute to better cold start performance.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Chemistry, Physical
Du Wang, Changwei Ji, Shuofeng Wang, Jinxin Yang, Zhe Wang
Summary: This study extensively investigated the combustion properties of ammonia/hydrogen/air premixed combustion and found that most properties of ammonia/hydrogen combustion could be comparable to that of hydrocarbon fuels, except for a slightly lower mixture heating value. The NO mole fraction of stoichiometric ammonia/hydrogen could be even lower than that of hydrocarbons. Promising working conditions for ammonia/hydrogen mixtures are phi from 1.0 to 1.05 and alpha from 40% to 60%.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Energy & Fuels
Hao Meng, Changwei Ji, Shuofeng Wang, Du Wang, Jinxin Yang
Summary: This study aimed to improve the idle performance of the n-butanol rotary engine by blending hydrogen and reducing idle speed. Results showed that hydrogen could enhance engine stability and economy, as well as effectively reduce CO and HC emissions. In addition, hydrogen enrichment could compensate for the negative effects of reducing idle speed on combustion and emissions.
Article
Thermodynamics
Ling-Nan Wu, Zhen-Yu Tian, Kai-Ru Jin, Zhi-Hao Zheng, Du Wang, Bing-Zhi Liu, Qiang Xu, Zhan-Dong Wang
Summary: This study provides a detailed analysis of the oxidation process of pyridine under fuel-lean conditions through experiments and model predictions. A new pyridine LTO 2.0 model is proposed and successfully predicts the experimental data of pyridine and its major oxidation products. The results are of significant importance for understanding the nitrogen evolution mechanism of pyridine in real coal combustion processes.
COMBUSTION AND FLAME
(2022)
Article
Energy & Fuels
Zhe Wang, Changwei Ji, Du Wang, Ruifeng Hou, Tianyue Zhang, Shuofeng Wang
Summary: Adding dissociated ammonia can improve the combustion properties of NH3, but may slightly reduce combustion efficiency. Markstein length, heat release reactions, and NO formation are related to the dissociating degree under different conditions.
Article
Energy & Fuels
Changwei Ji, Ke Chang, Shuofeng Wang, Jinxin Yang, Du Wang, Hao Meng, Huaiyu Wang
Summary: The study found that injection positions near the top dead center and increasing injection angles can change the rich zone of fuel and local equivalence ratio, with upper injection positions concentrating fuel near the spark plugs for better combustion and higher peak pressure.
Article
Chemistry, Physical
Changwei Ji, Zhe Wang, Du Wang, Ruifeng Hou, Tianyue Zhang, Shuofeng Wang
Summary: This study measured the laminar burning velocity at various equivalence ratios and dissociation degrees of ammonia using the constant pressure spherical flame method, and compared fifteen kinetic models with the experimental data to find the model with the best consistency.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Chemistry, Physical
Hao Meng, Changwei Ji, Du Wang, Gu Xin, Ke Chang, Jinxin Yang, Shuofeng Wang
Summary: This study investigates the application of quantitative and qualitative control on a hydrogen-fueled Wankel rotary engine (WRE). The results show that the combination of qualitative control and quantitative control is an effective way to improve the performance of a hydrogen-fueled WRE and address its drawbacks.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Thermodynamics
Ling-Nan Wu, Zhen-Yu Tian, Du Wang, Zhi-Hao Zheng, Kai-Ru Jin, Bing-Zhi Liu, Cheng Xie, Qiang Xu, Zhan-Dong Wang
Summary: This study investigated the pyrolysis mechanism and kinetics of pyrrole, a typical fuel nitrogen model compound, and provided new data on the pyrolysis products. The study identified new nitriles and quantified the mole fractions of various nitrogenous products. An updated pyrrole kinetic model was proposed, and the importance of nitriles and dinitriles during pyrrole pyrolysis was confirmed.
COMBUSTION AND FLAME
(2022)
Article
Energy & Fuels
Du Wang, Zhe Wang, Tianyue Zhang, Yifan Zhai, Ruifeng Hou, Zhen-Yu Tian, Changwei Ji
Summary: This study compares the effects of NH3 blending on the combustion of different alkanes and finds that NH3 has a significant impact on the burning velocity and burned gas length. Larger alkanes are less affected by NH3 blending, while smaller alkanes are more affected. In addition, the energy fraction of NH3 may be a more suitable criterion for practical engineering applications.
Article
Chemistry, Analytical
Jiu-Jie Kuang, Zhen-Yu Tian, Du Wang, Kai-Ru Jin, Bing Qian, Yang Pan
Summary: This study utilized an online synchrotron radiation photoionization mass spectrometry to investigate the dynamic processes of moxa pyrolysis, identifying over 70 species and highlighting both potentially beneficial and harmful substances produced at different temperatures.
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
(2022)
Article
Energy & Fuels
Zhe Wang, Changwei Ji, Du Wang, Tianyue Zhang, Yifan Zhai, Shuofeng Wang
Summary: This study provides new laminar burning velocity data for NH3/C3H8/air mixtures and investigates the premixed combustion characteristics in detail. The results show that propane promotes the combustion intensity of ammonia, but has no significant effect on the mixture heating value. NH3 substitution effectively reduces CO and CO2 emissions.
Article
Energy & Fuels
Du Wang, Changwei Ji, Zhe Wang, Shuofeng Wang, Tianyue Zhang, Jinxin Yang
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.
