Article
Thermodynamics
S. Janakiraman, T. Lakshmanan, P. Raghu
Summary: The ternary fuel blends with metal-doped TiO2 nano additives can reduce fuel usage and emissions of diesel engines, with Blend 6 (20% Biodiesel + 10% Bio-ethanol + 70% Diesel fuel+ TiO2(65 ppm)) showing superior performance in terms of minimal BTE, higher BSEC, higher cylinder pressure and lower emissions compared to 100% diesel fuel.
Article
Energy & Fuels
Zhanming Chen, Jingjing He, Hao Chen, Limin Geng, Peng Zhang
Summary: A comparative study on the effects of energy substitution ratio (ESR) on the combustion characteristics and performance of a dual fuel engine fueled with diesel/alcohols was conducted. Premixed combustion of diesel was influenced by alcohol enrichment, affecting ignition delay and combustion duration. Methanol was found to be most beneficial in prolonging ignition delay and shortening combustion duration. Energy substitution ratio also affected brake thermal efficiency (BTE) and NOx emissions differently for different alcohol types.
Article
Thermodynamics
Xinyi Zhou, Tie Li, Ping Yi
Summary: This study examines the optimization of scaled model experiments for marine diesel engines to reduce costs, energy consumption, and project cycles. The effects of similarity ratio on design target parameters are investigated, with a focus on the relationship between indicated thermal efficiency and maximum in-cylinder pressure with similarity ratio. Different scaling laws are found to be suitable for predicting various design target parameters accurately.
Article
Green & Sustainable Science & Technology
Nurul Hanim Razak, Haslenda Hashim, Nor Alafiza Yunus, Jiri Jaromir Klemes
Summary: The study demonstrates that a blend of 70% diesel, 20% biodiesel, and 10% butanol is the optimal choice, providing similar performance to diesel with reduced NOx emissions of 7% to 15% at a lower cost.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Lei Zuo, Junfeng Wang, Deqing Mei, Shengchao Dai, Derick Adu-Mensah
Summary: This study aimed to establish a partial hydrogenated biodiesel-ethanol-diesel ternary blend and investigate its combustion performance and emissions. The results revealed that the ternary blend exhibited different properties compared to the binary blend in certain aspects.
Article
Thermodynamics
Zhiqing Zhang, Jiangtao Li, Jie Tian, Rui Dong, Zhi Zou, Sheng Gao, Dongli Tan
Summary: This study investigates the effects of diesel/ethanol/n-butanol blends on combustion and emission characteristics of a diesel engine. The results showed that blended fuels improved brake thermal efficiency and reduced nitrogen oxides, carbon monoxide, and soot emissions.
Article
Energy & Fuels
Amin Yousefi, Hongsheng Guo, Shouvik Dev, Simon Lafrance, Brian Liko
Summary: This study investigates the effect of split diesel injection strategy on an ammonia/diesel dual-fuel engine under medium load conditions. Results show that the use of split diesel injection strategy increases the thermal efficiency and reduces the unburned ammonia emissions. Two optimized split diesel injection strategies are suggested to reduce greenhouse gas emissions while improving combustion efficiency, although they result in higher nitrogen oxides emissions.
Article
Thermodynamics
Mujdat Firat, Sehmus Altun, Mutlu Okcu, Yasin Varol
Summary: This study compares the combustion characteristics of conventional diesel, reactivity controlled compression ignition (RCCI), and dual direct injection (DI2) combustion modes. The results show that while both DI2 and RCCI modes are successful in reducing NO x and Smoke Opacity, they also result in higher CO and unburned HC emissions.
Article
Thermodynamics
Mustafa Vargun, Ilker Turgut Yilmaz, Cenk Sayin
Summary: The study found that adding clean fuels such as methanol, ethanol, and n-heptane to diesel can effectively reduce emissions, improve fuel economy, and increase maximum brake thermal efficiency. Results from using blended fuels showed a significant decrease in CO2 emissions and a reduction in HC emissions with an increase in engine load.
Article
Thermodynamics
Harish Venu, V. Dhana Raju, S. Lingesan, Manzoore Elahi M. Soudagar
Summary: The research shows that adding 20 ppm alumina nano additive in ternary fuel blend can enhance engine performance and combustion efficiency, while reducing exhaust emissions.
Article
Energy & Fuels
Jichao Liang, Quanchang Zhang, Zheng Chen, Zunqing Zheng, Chao Yang, Qixin Ma
Summary: The use of Tetrahydrofuran (THF) and ethanol as co-solvents for diesel fuel can increase combustion efficiency and reduce emissions, especially at low EGR rates, in diesel engine tests.
Article
Green & Sustainable Science & Technology
Mostafa M. El-Sheekh, Mohammed Y. Bedaiwy, Aya A. El-Nagar, Medhat ElKelawy, Hagar Alm-Eldin Bastawissi
Summary: In this study, bioethanol production was increased by optimizing the conditions for commercial Saccharomyces cerevisiae on hydrolysate obtained from the enzymatic saccharification of Aspergillus niger. Large-scale production of bioethanol was achieved, and the produced bioethanol was characterized using GC analysis and H-1 NMR. The testing of new fuel blends showed that bioethanol addition improved engine performance but led to increased emissions in certain ratios.
Article
Engineering, Chemical
Tiantian Yang, Dongdong Chen, Lei Liu, Longyan Zhang, Tie Wang, Guoxing Li, Haiwei Chen, Yao Chen
Summary: To reduce emissions and save energy, alternative fuel and dual-fuel mode have been widely applied in diesel engines. The effects of a diesel fuel pilot injection strategy on the performance of an ethanol/F-T diesel dual-fuel engine were experimentally investigated. The results show that pilot injection timing has a small effect on combustion characteristics parameters but tends to decrease soot, NOx, and CO emissions.
Article
Energy & Fuels
Maria D. Redel-Macias, David E. Leiva-Candia, Jose A. Soriano, Jose M. Herreros, Antonio J. Cubero-Atienza, Sara Pinzi
Summary: Oxygenated fuels, specifically short carbon-chain alcohols, can be produced from renewable resources and have significant effects on performance and emissions of compression ignition engines. Increasing alcohol content in blends reduces emission of particulate matter and soluble organic material, but also increases noise emissions; alcohol fuels exhibit higher thermodynamic efficiency compared to diesel fuel.
Article
Energy & Fuels
Amin Yousefi, Hongsheng Guo, Shouvik Dev, Brian Liko, Simon Lafrance
Summary: This study investigates the feasibility of an ammonia/diesel dual-fuel engine in reducing greenhouse gas emissions while maintaining diesel-like efficiency. Results show that increasing the ammonia energy fraction reduces nitrogen oxide emissions but increases nitrous oxide emissions, resulting in higher overall greenhouse gas emissions compared to diesel-only combustion. Advancing the start of diesel injection helps reduce nitrous oxide and overall greenhouse gas emissions while achieving diesel-like thermal efficiency.
Article
Energy & Fuels
Chiara Guido, Michela Alfe, Valentina Gargiulo, Pierpaolo Napolitano, Carlo Beatrice, Nicola Del Giacomo
Article
Energy & Fuels
Pierpaolo Napolitano, Chiara Guido, Carlo Beatrice, Leonardo Pellegrini
Article
Energy & Fuels
Giacomo Belgiorno, Gabriele Di Blasio, Carlo Beatrice
Article
Energy & Fuels
Giacomo Belgiorno, Nikolaos Dimitrakopoulos, Gabriele Di Blasio, Carlo Beatrice, Per Tunestal, Martin Tuner
Article
Environmental Sciences
Maria Vittoria Prati, Maria Antonietta Costagliola, Andrea Zuccheroso, Pierpaolo Napolitano
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2019)
Article
Energy & Fuels
Pierpaolo Napolitano, Valentina Fraioli, Chiara Guido, Carlo Beatrice
Article
Energy & Fuels
Pierpaolo Napolitano, Michela Alfe, Chiara Guido, Valentina Gargiulo, Valentina Fraioli, Carlo Beatrice
Article
Thermodynamics
Chiara Guido, Pierpaolo Napolitano, Salvatore Alfuso, Corrado Corsetti, Carlo Beatrice
Summary: The study investigates the relationship among piston-liner oil leakage, engine operations, and particle emission, and suggests that improvements in piston ring pack design can greatly reduce particle emissions.
Article
Thermodynamics
Gessica Onofrio, Pierpaolo Napolitano, Per Tunestal, Carlo Beatrice
Summary: Active pre-chamber configurations are considered a valuable solution for improving the operation of internal combustion engines, especially when combined with natural gas as a fuel. Testing different pre-chamber nozzles in a stationary engine revealed varying performance under different operating conditions, with analysis of combustion characteristics used to evaluate engine performance.
Article
Chemistry, Physical
Pierpaolo Napolitano, Leonarda Francesca Liotta, Chiara Guido, Cinzia Tornatore, Giuseppe Pantaleo, Valeria La Parola, Carlo Beatrice
Summary: This study investigates the application of a commercial SCR in marine engine exhaust and identifies an efficient solution for controlling NOx emissions.
Article
Environmental Sciences
Pierpaolo Napolitano, Davide Di Domenico, Dario Di Maio, Chiara Guido, Stefano Golini
Summary: This paper discusses strategies to reduce emissions from the transport sector and evaluates two approaches to reduce particle emissions from natural gas heavy-duty engines. The study finds that modifying lubricant formulations and using a CNG particle filter can significantly reduce emissions. These technologies provide valuable insights for improving natural gas heavy-duty engines.
Article
Thermodynamics
Lorenzo Sforza, Tommaso Lucchini, Gianluca D'Errico, Giovanni Gianetti, Carlo Beatrice, Per Tunestal
Summary: A computational fluid dynamics (CFD) methodology is proposed for the design of active prechambers (APCHs) in spark-ignition engines. The methodology includes simulating the fuel injection process in the APCH and simulating the power-cycle in the entire closed-valves domain. Experimental data validation showed that the proposed methodology is consistent and reliable.
COMBUSTION SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Dario Di Maio, Elena Stramaccioni, Daniela Anna Misul, Pierpaolo Napolitano, Carlo Beatrice
Summary: In order to meet the increasingly stringent emission regulations, the automotive sector requires robust and reliable engine and aftertreatment models. This paper presents a methodology for co-simulating an engine model and a catalyst model to accurately reproduce engine performance and evaluate pollutant conversion efficiency. The model was validated using experimental tests in various operating conditions and showed good agreement with experimental data.
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.
