Article
Thermodynamics
Desiree Alcazar-Garcia, Jose Luis Romeral Martinez
Summary: This paper presents an adaptive and high-accuracy methodology that utilizes genetic algorithms to accelerate the design and implementation of ecological vehicles in smart cities. The methodology maximizes vehicle range with minimal computational effort and provides predictive information on cost, volume, and weight. The reliability and precision of the model have been verified using commercially available vehicles.
Article
Energy & Fuels
V. Prasanna Moorthy, S. Siva Subramanian, V Tamilselvan, S. Muthubalaji, P. Rajesh, Francis H. Shajin
Summary: In this article, a novel hybrid method combining the Kernel Wingsuit Flying Search Algorithm and Sea Lion Optimization Algorithm is proposed to optimize energy management in a hybrid electric vehicle system. Through parameter investigation and performance evaluation, the proposed method is shown to be more efficient in reducing fuel consumption.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
R. Saravanan, O. Sobhana, M. Lakshmanan, P. Arulkumar
Summary: This manuscript proposes a hybrid technique, called JSO-RSA method, for the energy management of a battery-based FC electric vehicle system. The method aims to minimize the equivalent consumption by controlling the operational mode, state machine, and dynamic power factor. The proposed method demonstrates high efficiency (90.2%) and low operating cost ($568) compared to existing methods.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Multidisciplinary
Gulnora Yakhshilikova, Sanjarbek Ruzimov, Ethelbert Ezemobi, Andrea Tonoli, Nicola Amati
Summary: This paper investigates the impact of engine transient characteristics on fuel consumption in hybrid electric vehicles and proposes a penalty factor introduced in the controller to optimize engine usage. Through simulation experiments, it is proven that reducing transient engine operation can lead to a decrease in fuel consumption.
APPLIED SCIENCES-BASEL
(2022)
Article
Green & Sustainable Science & Technology
Aissa Benhammou, Hamza Tedjini, Mohammed Amine Hartani, Rania M. Ghoniem, Ali Alahmer
Summary: The development of hybrid electric vehicles (HEVs) is gaining momentum as a solution for reducing carbon emissions and improving fuel efficiency. The fuel cell/battery/supercapacitor HEV (FC/Bat/SC HEV) has emerged as a particularly promising choice due to its efficient energy management and adaptability to different driving requirements. This study presents a novel approach for harnessing the kinetic energy of a sensorless HEV, utilizing a combination of fuel cell, supercapacitor, and lithium-ion battery energy storage banks. By exploiting additional DC and AC generators linked to the vehicle's front wheels, the system is able to capture free kinetic energy and achieve high supply efficiency, reducing the reliance on fuel cells and batteries and resulting in significant fuel consumption reduction.
Article
Computer Science, Information Systems
Yousra Abdul Alsahib S. Aldeen, Mustafa Musa Jaber, Mohammed Hasan Ali, Sura Khalil Abd, Ahmed Alkhayyat, R. Q. Malik
Summary: Environmentally friendly and sustainable transportation options have been developed to tackle pollution and fuel shortages. However, there are still obstacles to overcome before green transportation goals can be fully achieved. A research study focuses on electric vehicle-centric approach and proposes using IoT-CC to improve EVCS location selection.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Energy & Fuels
Koray Erhan, Engin Ozdemir
Summary: Conventional electric vehicles and hybrid electric vehicles can only store a small part of kinetic energy, necessitating the use of a flywheel energy storage system (FESS) for regenerative braking. Experimental studies show that the proposed purely electrical power transmission system for FESS is more efficient, lighter, cost-effective, requires less space, and maintenance-free compared to traditional mechanical systems.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Engineering, Marine
Francesco Mauro, Elia Ghigliossi, Vittorio Bucci, Alberto Marino
Summary: This paper focuses on the environmental performance of megayachts by analyzing the adoption of hybrid-electric propulsion systems and onboard storage devices, comparing the fuel consumption of different configurations for reference megayachts.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Environmental Sciences
Patrick Ploetz, Cornelius Moll, Georg Bieker, Peter Mock
Summary: The study shows that the real-world average CO2 emissions of PHEVs vary depending on factors such as all-electric range, user group, and country. For private vehicles, the real-world CO2 emissions are significantly higher than test cycle values, mainly due to low charging frequency.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Energy & Fuels
Hao Lan, Xiaobing Wang, Weijian Hao, Dong Hao, Yuntang He, Nuo Xu
Summary: Energy consumption is crucial for evaluating the competitiveness of fuel cell electric vehicles. The flowmeter method, due to its simplicity, low cost, and real-time performance, has been a focus of research. The short-cut method has also been explored to improve testing efficiency. This study evaluates the flowmeter method based on the short-cut method for measuring hydrogen consumption in real driving cycles. The results show that the short-cut method can significantly reduce test time and achieve accurate measurements with the proper solutions for different scenarios.
Article
Engineering, Mechanical
Yongzheng Sun, Zhiyu Han, Jian Feng, Zhenkuo Wu
Summary: This paper proposes a range-extender in-the-loop (REIL) method to predict vehicle fuel consumption more accurately. By integrating the vehicle plant model, electric-drive control strategy, and range-extender control strategy, a vehicle control unit (VCU) is developed for range-extender control. Experimental verification is conducted to validate the REIL method.
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY
(2023)
Article
Engineering, Multidisciplinary
Ozgun Balci, Yasin Karagoz, Onur Gezer, Sefa Kale, Hasan Koten, Saban Pusat, Levent Yuksek
Summary: In this study, fuel consumption and CO2 maps were created using high-speed data acquisition and artificial neural networks. Hybrid and conventional vehicle models were compared on different routes, showing higher improvements with the hybrid system in urban conditions.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Thermodynamics
Shengwei Quan, Hongwen He, Jinzhou Chen, Zhendong Zhang, Ruoyan Han, Ya-Xiong Wang
Summary: In this paper, a health-aware model predictive control (HA-MPC) energy management strategy is proposed for fuel cell electric vehicles. By considering the important parameters inside the fuel cell stack and establishing a health state model, the proposed strategy can accurately evaluate the fuel cell lifetime. Compared with conventional strategies, the HA-MPC can effectively reduce the steep drop of impedance in low power region, thereby protecting the fuel cell system lifetime.
Article
Thermodynamics
Hadi Taghavifar
Summary: The study analyzed and compared the potential of E-transportation technology in phasing out internal combustion engines. Results showed significant improvements in mileage, fuel consumption, and emissions reduction in hybrid mode compared to traditional ICE alone mode.
Article
Energy & Fuels
Haroune Aouzellag, Bessam Amrouche, Koussaila Iffouzar, Djamal Aouzellag
Summary: This paper proposes an energy management strategy based on hysteresis control, using the expression of the energy storage system converter efficiency as the sole input variable. Simulation results show that the strategy allows energy distribution and reduces energy consumption.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
T. Seljak, M. Buffi, A. Valera-Medina, C. T. Chong, D. Chiaramonti, T. Katrasnik
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2020)
Article
Thermodynamics
A. Znidarcic, T. Katrasnik, I. G. Zsely, T. Nagy, T. Seljak
Summary: The study introduces an innovative approach to extend existing surrogate model methods for small-scale systems, incorporating simplified combustion kinetic mechanisms tailored to the specific thermodynamic conditions and surrogate compositions of sewage sludge combustion. This extension has been confirmed to offer an efficient tool for affordable and accurate design of small-scale combustion systems using fuels with complex compositions, maintaining accuracy and flexibility while reducing computational time.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Tomaz Katrasnik, Igor Mele, Klemen Zelic
Summary: The multi-scale battery modelling framework presented in the paper integrates nanoscopic transport phenomena and heat generation, providing insights into the complex mechanisms leading to thermal runaway. This framework enhances understanding of the interplay between electric and thermal boundary conditions, cell design, materials properties, and side reactions, ultimately contributing to tailored battery design for specific applications.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Energy & Fuels
Ogbonnaya Agwu, Agustin Valera-Medina, Tomaz Katrasnik, Tine Seljak
Summary: This study investigates the utilization of glycerol in power generation applications, where stable flames were achieved by combusting glycerol blended with methanol. The 50/50 combination of methanol/glycerol exhibited greater flame stability compared with the 70/30 combination, as indicated by CH* chemiluminescence data and spectral analysis.
Article
Chemistry, Physical
Andraz Kravos, Daniel Ritzberger, Christoph Hametner, Stefan Jakubek, Tomaz Katrasnik
Summary: The paper proposes an innovative methodology based on the electrochemical FC model and parameter sensitivity analysis to determine the optimal experimental design using a D-optimal design plan, which reduces the parametrisation dataset, minimizes costs, and effort. This approach improves calibration parameters information resulting in lower relative standard errors on smaller datasets and enhances the identifiability and robustness of the FC electrochemical model.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Thermodynamics
Luka Lorbek, Tomaz Katrasnik, Andrej Kitanovski
Summary: The study found that explicitly correlating the friction factor with relative surface roughness is unnecessary in capillary tube models. The accuracy of the model was not significantly decreased when relative surface roughnesses were not individually specified for each capillary tube. Experimental results supported the conclusion that the impacts of relative surface roughness can be averaged out when correlating friction factor solely with the Reynolds number.
INTERNATIONAL JOURNAL OF REFRIGERATION
(2021)
Article
Energy & Fuels
Carlo Caligiuri, Urban Zvar Baskovic, Massimiliano Renzi, Tine Seljak, Samuel Rodman Opresnik, Marco Baratieri, Tomaz Katrasnik
Summary: The study found that the impact of different fuel mixtures on BTE is negligible compared to the influence of spark advance variation on BTE in spark ignition engines using natural gas and syngas. Power derating has been proven to be a limiting factor, becoming more significant with increasing SES. Increasing SES results in higher CO and CO2 emissions, while NOx and THC emissions decrease.
Article
Energy & Fuels
Andraz Kravos, Ambroz Kregar, Kurt Mayer, Viktor Hacker, Tomaz Katrasnik
Summary: The study demonstrates the application of a mechanistically based modeling framework for LT-PEMFCs, which includes real-time fuel cell performance, platinum and carbon support degradation models, to simulate transient CO2 release rates. The results confirm the credibility of the proposed modeling framework and its prediction and extrapolation capabilities, with only a 29% increase in root mean square deviations values when using a model calibrated on all three data sets compared to one data set calibration. The analysis also enables optimal reduction of calibration parameters, speeding up the process while retaining full extrapolation capabilities.
Article
Electrochemistry
Klemen Zelic, Tomaz Katrasnik, Miran Gaberscek
Summary: The study presents a derivation method for constructing a transmission line model directly from the concentrated solution theory for porous electrodes. By applying the derived TLM to three standard porous electrode cases, its utility in devices such as batteries, fuel cells, and supercapacitors is demonstrated. The validity of the derived TLMs is confirmed through direct comparison with analytical expressions for impedance response of CST for porous electrodes.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2021)
Article
Energy & Fuels
Zhang Peng Du, Andraz Kravos, Christoph Steindl, Tomaz Katrasnik, Stefan Jakubek, Christoph Hametner
Summary: This paper introduces a control-oriented PEMFC stack model with a focus on physically motivated water modeling, providing valuable insights into water mechanisms for deriving efficient water management control strategies.
Article
Thermodynamics
Brandon Han Hoe Goh, Cheng Tung Chong, Hwai Chyuan Ong, Tine Seljak, Tomaz Katrasnik, Viktor Jozsa, Jo-Han Ng, Bo Tian, Srinibas Karmarkar, Veeramuthu Ashokkumar
Summary: This study reviews technologies and catalysts for producing synthetic jet fuels, as well as the use of biomass resources as feedstock. It discusses the production process and challenges for uncertified biojet fuels.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Chemistry, Physical
Ambroz Kregar, Matija Gatalo, Nik Maselj, Nejc Hodnik, Tomaz Katrasnik
Summary: Mathematical modelling is crucial for understanding the degradation of platinum-based carbon-supported catalysts in PEMFC, helping in the development of new materials and mitigation strategies, as well as improving the understanding of individual degradation mechanisms. According to the model, platinum dissolution and redeposition are strongly affected by temperature, being the main mechanism of particle growth at temperatures below 60 degrees C.
JOURNAL OF POWER SOURCES
(2021)
Article
Chemistry, Physical
Andraz Kravos, Tomaz Katrasnik
Summary: To achieve efficient and degradation-free operation of solid oxide fuel cells, it is crucial to develop precise online monitoring and control tools based on predictive, computationally fast models. The proposed modeling approach offers a thermodynamically consistent multi-species electrochemical model that considers the co-oxidation of carbon monoxide and hydrogen. The model also accounts for diffusive transport of gaseous species, resulting in computational efficiency.
Article
Energy & Fuels
Urban Zvar Baskovi, Rok Vihar, Samuel Rodman Opresnik, Tine Seljak, Tomaz Katrasnik
Summary: This article presents a feasible approach to minimize negative impacts of combustion by achieving low net carbon emissions and ultra-low engine-out exhaust emissions using Reactivity Controlled Compression Ignition (RCCI) combustion concept and an advanced fuel mix. The study used an experimental setup and conducted sensitivity analysis to optimize combustion and engine operation, resulting in simultaneous ultra-low emissions of NOx, PM, and PN. This innovative fuel mix also leads to a significant decrease in life-cycle carbon emissions compared to conventional fuels.
Article
Engineering, Mechanical
Ziga Rosec, Veronique Dias, Francesco Contino, Tomaz Katrasnik, Tine Seljak
FRONTIERS IN MECHANICAL ENGINEERING-SWITZERLAND
(2020)
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.
