Article
Thermodynamics
Jun Cong Ge, Guirong Wu, Byeong-O Yoo, Nag Jung Choi
Summary: This study investigates the combustion, engine performance, and emission characteristics of an old diesel engine fueled with DPE ternary blended fuels under low idling conditions. The results show that increasing ethanol concentrations in DPE blends lead to increased fuel consumption and HC emissions, while reducing NOx and smoke emissions.
Review
Energy & Fuels
Chuanhao Jin, Jiangjun Wei
Summary: In recent years, the search for new clean fuels to replace fossil diesel has become crucial due to the shortage of fossil oil resources and environmental pollution problems. Biodiesel has gained attention for its environmental friendliness, renewable features, and wide range of sources. However, the use of biodiesel often leads to higher NOx emissions. Water, as a fuel additive, can lower the combustion temperature and reduce NOx emissions but also brings new challenges like increased CO and HC emissions. Nanoparticles are expected to address these issues with their higher surface area-to-volume ratio and catalytic properties. Therefore, it is important to investigate the effects of nanoparticles and water on the performance of biodiesel and its blends with diesel.
Article
Engineering, Multidisciplinary
Siraj Sayyed, Randip Kumar Das, Kishor Kulkarni, Tabish Alam, Sayed M. Eldin
Summary: Automobile pollution has caused significant environmental degradation and climate change. Research is being done to find alternative fuels that can improve efficiency and reduce emissions. This study focuses on the performance and emission characteristics of a DICI-VCR engine using ethanol and Al2O3 nanoparticle blended biodiesel. The results show a decrease in performance and an increase in certain emissions compared to pure diesel.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Thermodynamics
M. Vergel-Ortega, G. Valencia-Ochoa, J. Duarte-Forero
Summary: This study investigates the use of ethanol as an additive in biodiesel blends derived from palm oil and sunflower oil residues, finding that ethanol incorporation can improve thermal efficiency and reduce emissions levels in diesel engines. Integrating biodiesel and ethanol emerges as a promising alternative for reliable and sustainable operation.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Energy & Fuels
P. Pavan, K. Bhaskar, S. Sekar
Summary: The experimental investigation demonstrated that a 40% reduction in NO emission was observed by introducing 10% pilot fuel and higher injection pressure at 32°bTDC compared with single injection mode at 23°bTDC. Smoke, HC, and CO emissions were found to be lower at 34°bTDC by 26.2%, 19.2%, and 21.5% respectively, with the same strategy. A slight increase in CO2 emission by 1.62% was noticed at 500 bar injection pressure at this injection timing compared to single injection mode.
Article
Energy & Fuels
B. Karpanai Selvan, Soni Das, M. Chandrasekar, R. Girija, S. John Vennison, N. Jaya, P. Saravanan, M. Rajasimman, Yasser Vasseghian, N. Rajamohan
Summary: The study investigates the performance and emission characteristics of various biomass blends in a diesel engine. The results show that the AO10D blend performs well with higher thermal efficiency and lower emissions at 50% load.
Article
Energy & Fuels
Devaraj Rangabashiam, H. Suresh Babu Rao, Ganesan Subbiah, Mohanavel Vinayagam
Summary: This study investigates the effects of adding nano biochar derived from sugarcane to custard seed biodiesel on the emission and performance of a compression ignition engine. The experimental results show that adding 50 ppm of biochar reduces smoke, CO, and HC emissions, while improving brake thermal efficiency.
BIOMASS CONVERSION AND BIOREFINERY
(2023)
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
Energy & Fuels
Qixin Ma, Quanchang Zhang, Jichao Liang, Chao Yang
Summary: The study found that adding alcohol to diesel-biodiesel blends can reduce engine power loss, improve stability, and lower emissions. Compared to other tested fuels, the B10P10 blend exhibited better stability and combustion state at various speeds.
Article
Thermodynamics
Erkan Ozturk, Ozer Can
Summary: Biodiesel fuels produce higher NOx emissions in diesel engines, and this study investigated three techniques to mitigate the issue. The results showed that exhaust gas recirculation and injection retardation are effective methods, while ethanol addition did not significantly improve performance.
Article
Engineering, Environmental
M. S. Gad, A. S. El-Shafay, H. M. Abu Hashish
Summary: The study investigates the use of non-edible oils as alternative fuels, with the screw press extraction method showing higher oil yield and improved properties. Blending biodiesel with diesel oil at different ratios resulted in varying effects on engine performance and emissions.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Thermodynamics
Cho-Yu Lee, Jhe-Kai Lin, Wei-Cheng Wang, Rong-Hong Chen, Kun-Mo Lin, Herman Saputro, Huynh Thanh Cong, Thong Duc Hong, Manida Tongroon
Summary: The development of hydro-processed renewable diesel (HRD) was carried out in a lab-scale fixed-bed catalytic reactor. The performance and emissions of D100, H20, and B20 were evaluated using a turbocharged diesel engine. HRD showed little impact on CO and NOx emissions, reduced CO2 emissions by 7.4% compared to D100, and had lower HC emissions than D100 at high engine speeds. HRD also significantly reduced smoke emissions compared to biodiesel. The engine using H20 had better combustion stability and performance compared to D100 and B20.
Article
Energy & Fuels
Neeraj Kumar, Hifjur Raheman
Summary: The study suggests that biodiesel-diesel blend dispersed with water and CeO2 nanoparticles could be a promising alternative fuel for diesel engine with lower emissions. This blend can reduce HC, CO, and NOx emissions, while enhancing fuel thermal efficiency and energy saving effects.
Article
Environmental Sciences
Ali Zare, Svetlana Stevanovic, Mohammad Jafari, Puneet Verma, Meisam Babaie, Liping Yang, M. M. Rahman, Zoran D. Ristovski, Richard J. Brown, Timothy A. Bodisco
Summary: The study found that the use of biofuels significantly affects NOx emissions, especially during cold-start. During cold-start, NO2 and NOx emissions were higher than during hot-operation; diesel fuel had lower levels of NO2 and NOx emissions, while an increase in biofuel blend ratio led to higher emissions.
ENVIRONMENTAL POLLUTION
(2021)
Article
Thermodynamics
Hanbey Hazar, Tugay Telceken, Huseyin Sevinc
Summary: In this study, safflower methyl ester (SME) was obtained from safflower seed oil for a CI engine through transesterification, which showed promising results in terms of emissions reduction compared to diesel fuel. However, improvements are still needed in terms of fuel efficiency and NOx emissions.
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.