Article
Engineering, Electrical & Electronic
Jianwei Li, Hanxiao Wang, Hongwen He, Zhongbao Wei, Qingqing Yang, Petar Igic
Summary: This article proposes a synergistic approach that optimizes the battery optimal size and power management using deep reinforcement learning (DRL). By studying a fuel cell hybrid electric vehicle (FC-HEV), it is found that the battery plays a crucial role in transportation electrification, and the optimal sizing and power distribution are critical for system performance and economic benefits.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Energy & Fuels
Guisen Ye, Feng Gao, Jingyang Fang
Summary: This paper proposes a mission-driven two-step virtual machine commitment method, which effectively reduces the total power consumption of data centers by considering the characteristics of UPS power losses in virtual machine allocation.
Article
Engineering, Electrical & Electronic
Camilo Sanabria, David Florez, Hubert Piquet, Rafael Diez
Summary: This article analyzes the principles and equations of a full-bridge voltage inverter used for supplying dielectric barrier discharges, providing design guidelines to meet the requirements of plasma processes.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Environmental Sciences
Jyoti Gupta, Parag Nijhawan, Souvik Ganguli
Summary: Global energy demand is increasing, making it crucial to develop innovative non-renewable energy systems to lessen reliance on fossil fuels. A hybrid off-grid renewable energy system can effectively reduce dependence on traditional energy sources.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Thermodynamics
Poonam Singh, Manjaree Pandit, Laxmi Srivastava
Summary: In this study, an optimal sizing model is developed for a hybrid micro-grid system (HMGS) that includes solar photovoltaic, wind turbine, diesel generator, and battery. A tri-objective formulation considering techno-socio-economic factors is proposed to find the optimal size and configuration. Dynamic domain search employing a hybrid intelligent computational technique is used to improve the search efficiency. The best solution is identified using a fuzzy attainment module. The optimal sizing is analyzed considering the effect of selected optimization objectives, and multiple choices are offered to the designer based on preferences. The results show that a system with solar PV capacity of 78.44 kW, wind turbine of 95 kW, and a battery of 2 kW is the best option.
Article
Engineering, Electrical & Electronic
Qian Xun, Nikolce Murgovski, Yujing Liu
Summary: This paper proposes a cost-effective way to design and operate fuel cell hybrid electric trucks (FCHETs) through sequential convex programming to minimize costs. The results show that the power rating of the electric machine is drastically reduced when the delivered power is satisfied in a probabilistic sense.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Thermodynamics
Samuel Filgueira da Silva, Jony Javorski Eckert, Fabricio Leonardo Silva, Fernanda Cristina Correa, Ludmila C. A. Silva, Andre Valente Bueno, Franco Giuseppe Dedini
Summary: The study presents a comprehensive approach for optimizing the power distribution control and design of a Fuel Cell Hybrid Electric Vehicle (FCHEV) using a multi-objective evolutionary algorithm. The method aims to maximize the vehicle's driving range and the lifetimes of the fuel cell stack and battery while minimizing hydrogen fuel consumption and storage system size. The optimized FCHEV configuration achieved a driving range of 444 km and exhibited improved energy efficiency, driving autonomy, and power sources lifespan in real-world driving conditions.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Mathematics
Luis Fernando Grisales-Norena, Oscar Danilo Montoya, Ricardo Alberto Hincapie-Isaza, Mauricio Granada Echeverri, Alberto-Jesus Perea-Moreno
Summary: The paper proposes a master-slave methodology to address the optimal integration of Distributed Generators in Direct Current networks, using different optimization methods and algorithms. The results show that the hybrid method provides the best trade-off between solution quality and processing time.
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
Thermodynamics
Qian Ma, Xiang Huang, Feng Wang, Chao Xu, Reza Babaei, Hossein Ahmadian
Summary: This paper presents a sustainable framework and techno-feasibility evaluation of stand-alone hybrid power options for electrification in Persian Gulf Islands. It explores new patterns in renewable behavior using cycle charging and load following strategies, with the optimal solution found to be the integration of various renewable energy components on Lavan Island.
Article
Thermodynamics
Sihem Amara, Sana Toumi, Chokri Ben Salah, Abdelaziz Salah Saidi
Summary: This paper presents an improved techno-economic optimal sizing of a hybrid off-grid micro grid system, which optimizes system reliability and cost through iterative algorithm and energy management. It is found that the battery capacity is insufficient to cover load demand when considering autonomy days, leading to the use of a diesel generator as a secondary power supply to overcome this issue.
Article
Automation & Control Systems
Leonardo Gobel Fernandes, Alceu Andre Badin, Daniel Flores Cortez, Roger Gules, Eduardo Felix Ribeiro Romaneli, Amauri Assef
Summary: This article proposes a single-phase transformerless online UPS based on new technology, which operates efficiently with ac and dc input sources through switched capacitor operation. It improves power factor, balances dc bus capacitor voltages, and eliminates common mode current, reducing electromagnetic interference issues. Experimental results from a 2.5-kW prototype verify the feasibility with an efficiency of up to 94.9% and unity power factor.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Green & Sustainable Science & Technology
Dahe Zhang, Yang Yang, Jie Fang, Ahmed Alkhayyat
Summary: This study proposes a new methodology to enhance the power quality of a 1200 W PEM fuel cell connected to the grid. It utilizes a buck converter to reduce the voltage and an inverter for optimal firing of the controllers. The performance of the suggested Amended Penguin Optimization algorithm (APOA) is compared with other techniques, showing higher efficiency in terms of maximum overshoot, minimum error, and steady-state error.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Green & Sustainable Science & Technology
Ali Keyvandarian, Ahmed Saif
Summary: This paper presents and compares three approaches to deal with the uncertain nature of energy supply and demand in the problem of optimal sizing of a stand-alone, reliability-constrained hybrid renewable energy system. The proposed approaches are adaptive robust optimization, scenario-based robust satisficing, and stochastic-free robust satisficing. Numerical results show that the proposed robust satisficing approaches outperform the adaptive robust optimization approach in terms of computational time and solution performance, providing strong justification for their application.
Article
Computer Science, Information Systems
Hyukjoon Kwon, Yeongil Choi, Woulsun Choi, Seungwook Lee
Summary: This study proposes a novel multimode power split hybrid architecture to achieve fuel efficiency improvement and sizing optimization through multiple driving modes. The invented system shows potential in improving fuel efficiency and reducing production costs when compared with the Toyota Hybrid System (THS).
Article
Energy & Fuels
Julio Jose Caparros Mancera, Jaime Luis Saenz, Eduardo Lopez, Jose Manuel Andujar, Francisca Segura Manzano, Francisco Jose Vivas, Fernando Isorna
Summary: This paper presents a comprehensive experimental analysis on the influence of using supercapacitor banks as energy storage system in renewable energy sources-based microgrids with high voltage DC bus. The results demonstrate that the supercapacitor banks provide a smooth dynamic response, more efficient and flexible power management, and greater voltage stability, while also protecting the equipment from current peaks.
Review
Energy & Fuels
Julio Jose Caparros Mancera, Francisca Segura Manzano, Jose Manuel Andujar, Eduardo Lopez, Fernando Isorna
Summary: This paper presents a critical analysis of water-based hydrogen production technologies and their evolution over time. Electrolysis has reached a high level of maturity while other techniques still have room for further development. The paper offers a global and comparative vision, helping identify the different paths towards advancing water-based hydrogen production.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Review
Energy & Fuels
Jose Manuel Andujar, Francisca Segura, Jesus Rey, Francisco Jose Vivas
Summary: This paper analyzes the two energy storage methods, batteries and hydrogen storage technologies, and discusses their complementary and opposing aspects. It provides a detailed technical description of each technology, explores their development trends, and proposes a mathematical model for integrating energy storage systems in hybrid energy storage systems. From a technical perspective, batteries are easier to operate, while hydrogen storage methods have different operating conditions.
Article
Engineering, Electrical & Electronic
J. M. Andujar, F. J. Vivas, F. Segura, A. J. Calderon
Summary: The objective of this work is to develop a turnkey solution for the integration of air-cooled multi-stack fuel cells (AC-MSFCs) in renewable microgrids. The experimental results show the correct operation of AC-MSFCs and quantify the degradation of the stacks. The developed power converter demonstrates excellent electrical and thermal performance, efficiently supplying regulated power to the high-voltage DC bus.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Construction & Building Technology
Marta Videras Rodriguez, Sergio Gomez Melgar, Jose Manuel Andujar Marquez
Summary: Urban public spaces play a crucial role in supporting social relationships and promoting a healthy lifestyle. However, over-urbanisation has led to increased urban heat stress and reduced public spaces. To improve thermal comfort in urban areas, this study introduces a new method using aerial thermography to assess radiant heat transfer. Surface temperatures captured by an unmanned aerial vehicle (UAV) equipped with a thermal infrared device were used to estimate mean radiant temperature (TMRT). The accuracy of the proposed method was verified through a comparative analysis with a microclimate urban simulation. The results showed that aerial thermography is applicable for measuring radiant heat transfer, with high R2 values.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Energy & Fuels
F. J. Vivas, F. Segura, J. M. Andujar
Summary: This paper proposes a fuzzy logic-based energy management system (EMS) to address the complexity of hybrid energy storage systems (HESS) in renewable residential DC microgrids. The proposed EMS improves the performance of the microgrid in terms of efficiency, operating costs, and lifespan of the HESS by considering multiple variables and stages using fuzzy logic control.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Agronomy
Miguel Noguera, Borja Millan, Jose Manuel Andujar
Summary: This study presents a low-cost, handheld multispectral device for assessing crop ripeness. The device, based on a development board, demonstrates good performance in predicting the indicators of soluble solid content and titratable acidity, as validated through experiments with 80 grape samples.
Article
Education & Educational Research
Ramon Tirado-Morueta, Yolanda Ceada-Garrido, Antonio J. Barragan, Juan M. Enrique, Jose M. Andujar
Summary: This study analyzed the Sustainable Urban Race project and found a positive association between a challenging and support-enriched context and student engagement, partially mediated by the satisfaction of competence needs, peer relationships, and group autonomy.
JOURNAL OF EDUCATIONAL RESEARCH
(2022)
Article
Electrochemistry
Jose M. Andujar, Antonio J. J. Barragan, Francisco J. J. Vivas, Juan M. M. Enrique, Francisca Segura
Summary: Electric vehicles have become the main alternative for decarbonizing the vehicle fleet, and their technology is closely linked to lithium-ion battery technology. It is crucial to have an accurate mathematical model to predict the dynamic behavior of lithium-ion batteries in demanding applications such as electric vehicles. This paper presents a methodology using the extended Kalman filter to iteratively improve a fuzzy model applied to a real lithium-ion battery, adapting the model to the battery's characteristics throughout its operating cycle.
Article
Computer Science, Information Systems
Macarena Martinez, Francisca Segura, Jose Manuel Andujar
Summary: This paper presents a standardized training platform supported by five European universities, which includes a remote laboratory experience. Each university develops a training module focused on renewable energy, and together they create a European network for teachers and students to access teaching materials in the new digital era.
APPLIED SYSTEM INNOVATION
(2023)
Review
Energy & Fuels
Jesus Rey, Francisca Segura, Jose Manuel Andujar
Summary: The current climate crisis highlights the urgent need to reduce carbon emissions, leading to an increased reliance on renewable energy sources. However, the intermittent nature of these sources makes controllability challenging. Green hydrogen, produced through water electrolysis using renewable energy, is emerging as a potential solution. This research focuses on analyzing the water and energy footprint, technological maturity, and regulatory framework of green hydrogen, highlighting its deployment and existing disparities worldwide.
Article
Chemistry, Multidisciplinary
Francisco Jose Vivas, Francisca Segura, Jose Manuel Andujar
Summary: This article presents a generalized, complete, accurate and versatile model of real push-pull converters for the analysis, simulation, and control of power systems. The proposed model considers practical non-idealities and has excellent performance with low relative errors.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Jesus Rey, Francisca Segura, Jose Manuel Andujar, Andrea Monforti Ferrario
Summary: This paper presents an economic impact analysis and carbon footprint study of a hydrogen-based microgrid. The results show that the hydrogen-based strategy has higher replacement costs and operation and maintenance costs, but provides better annual savings and a lower carbon footprint than the battery-based strategy. Furthermore, in a scenario where CO2 emission prices are increasing, the hydrogen-based strategy will bring even higher annual cost savings in the coming years.
Article
Agronomy
Ricardo Egipto, Arturo Aquino, Joaquim Miguel Costa, Jose Manuel Andujar
Summary: This study assesses the accuracy of supervised machine learning regression algorithms in predicting crop evapotranspiration, with satisfactory results. The research shows that these algorithms can accurately estimate crop evapotranspiration for vineyards while reducing data requirements.
Article
Education & Educational Research
Macarena Martinez, Francisca Segura, Jose Manuel Andujar, Yolanda Ceada
Summary: The number of job offers in STEM careers is increasing while the number of graduates, especially women graduates, in these fields is decreasing. This research analyzes the causes of low participation of women in STEM fields using the expectancy-value theory of motivation, social role theory, and gender stereotypes theory. The findings suggest that social patterns and educational environment play crucial roles in young people's decision to pursue STEM careers.
EDUCATION SCIENCES
(2023)
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.
