Article
Engineering, Electrical & Electronic
Mohammed H. Qais, Hany M. Hasanien, Saad Alghuwainem
Summary: This article introduces a novel adaptive control scheme using PI controllers and the new LMSRE algorithm. By applying the LMSRE algorithm for adaptive control, the performance of PMSG wind turbines can be enhanced, with better dynamic responses observed in real-world testing compared to traditional methods.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Marine
Yueyang Ben, Qianqian Gao, Tingxiao Wei, Sheng Gong, Qian Li
Summary: A novel heave measurement method is proposed in this study, which uses a band-pass filter instead of the high-pass filter used in traditional methods. The weighted-frequency Fourier linear combiner method ensures algorithm accuracy under unknown sea conditions. The proposed method eliminates the peak-to-peak error existing in traditional methods and avoids phase correction.
Article
Thermodynamics
Xianmei Liu, Rui Peng, Caiquan Bai, Yuanying Chi, Yuxiang Liu
Summary: This study assesses the economic cost and energy transition effects of different policy scenarios based on an improved dynamic computable general equilibrium (CGE) model. The results show that energy structure optimization and integrated policy scenarios could achieve the carbon neutrality target, and carbon sink is another critical factor that can offset the remaining emissions. The study also highlights the varying impacts on GDP losses, energy consumption, and air pollutant reduction potential under different scenarios.
Article
Chemistry, Multidisciplinary
Piotr Szwed, Pawel Rzucidlo, Tomasz Rogalski
Summary: Currently, accurate measurement of atmospheric gusts is only available near runways. This paper introduces an algorithm to estimate the magnitude of headwind gusts based on aircraft response using data from existing on-board systems. The algorithm eliminates the need for additional sensors or ground and satellite systems, improving efficiency and reducing costs. The proposed algorithm improves the accuracy of wind shear detection and response time of flight control systems, enhancing safety during take-off, approach, and encounters with significant changes in wind speed at cruising altitudes.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Qi Zhang, Jinghua Li, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin
Summary: This paper proposes a novel graph neural network called AFGNN, which can capture all frequency information on large-scale graphs. AFGNN consists of two stages: the first stage extracts comprehensive frequency information using low-, middle-, and high-pass graph filters, while the second stage generates customized graph filters for each node using node-level attention-based feature combination. Experimental results demonstrate the superiority of AFGNN over other scalable GNNs and spectral GNNs.
Article
Green & Sustainable Science & Technology
Mostafa Naemi, Dominic Davis, Michael J. Brear
Summary: This paper examines the optimal performance of a wind farm and integrated battery storage system in a wholesale electricity market, considering participation in both energy and FCAS markets as well as imperfect generation forecasting. It is found that advanced approaches to integration and control can provide significant financial benefits and improve the wind farm's ability to regulate its own power generation.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Lei Qin, Na Sun, Haiying Dong
Summary: In this paper, a control strategy based on double Kalman filters with adaptive adjustment of the state of charge (SOC) is proposed to smooth wind power fluctuations and improve the utilization of fluctuating power.
Article
Engineering, Manufacturing
Charalampos Loukas, Veronica Williams, Richard Jones, Momchil Vasilev, Charles N. MacLeod, Gordon Dobie, Jim Sibson, Stephen G. Pierce, Anthony Gachagan
Summary: This paper introduces a new automated weld parameter and pass deposition sequencing framework, which enables automatic planning of multi-pass welding for single-sided V-groove geometries through user-driven weighting.
JOURNAL OF MANUFACTURING PROCESSES
(2021)
Article
Engineering, Aerospace
Weishuang Lu, Peiqing Liu, Hao Guo
Summary: This paper investigates the noise characteristics and generation mechanism of tonal noise produced by a Krueger storage cavity. Experimental results show that low-frequency noise dominates when the Krueger flap is deployed without a gap. For the Krueger configuration with a closed gap, multiple low-frequency tones are observed at a free-stream velocity above 45 m/s, and they satisfy the oscillation mode switching mechanism.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Thermodynamics
Chun Sing Lai, Giorgio Locatelli
Summary: The study compares the economic and financial merits of Generation Integrated Energy Storage system (GIES) and non-GIES systems, showing that the key driver for GIES economics is generator capital cost and for non-GIES it is energy storage capital cost. The levelized cost of electricity values for GIES and non-GIES range between 0.05 pound/kWh - 0.12 pound/kWh and 0.07 pound/kWh - 0.11 pound/kWh, respectively, while internal rate of return values are uncertain for both systems, ranging between 2%-22% for GIES and 5%-14% for non-GIES.
Review
Energy & Fuels
Wei Wang, Baoqiang Yuan, Qie Sun, Ronald Wennersten
Summary: This paper provides a comprehensive overview of the applications of various energy storage technologies in mitigating the fluctuation and uncertainty of renewable energy, analyzing their techno-economic characteristics.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Computer Science, Hardware & Architecture
Bo Peng, Jianguo Yao, Yaozu Dong, Haibing Guan
Summary: This article introduces MDev-NVMe, a new virtualization solution for improving the NVMe storage in modern data centers. By providing comprehensive storage virtualization, mediated pass-through mechanism, and adaptive configuration of active polling optimization, MDev-NVMe achieves high throughput, low latency performance, and substantial device scalability. Through a comparison with other virtualization mechanisms, it is demonstrated that MDev-NVMe significantly improves performance.
IEEE TRANSACTIONS ON COMPUTERS
(2022)
Article
Green & Sustainable Science & Technology
Jayanta Bhusan Basu, Subhojit Dawn, Pradip Kumar Saha, Mitul Ranjan Chakraborty, Taha Selim Ustun
Summary: Studying the integration of renewable energy sources in existing power systems, especially in deregulated systems, is crucial due to the uncertainty of these sources. This study investigates the impacts of wind farm integration and pumped hydroelectric storage system on electric losses, voltage profiles, generation costs, and system economy in a deregulated power market. The results show the importance of considering the imbalance cost resulting from the mismatch between predicted and actual wind speeds in evaluating system economy. Economic risk analysis using heuristic algorithms and sequential quadratic programming is presented, and the use of PHES to compensate for deviation in wind farm integration is also discussed.
Article
Green & Sustainable Science & Technology
Gaurav Modi, Bhim Singh
Summary: This paper investigates the power quality issues of a grid-integrated rooftop solar photovoltaic (SPV) system under local nonlinear loads and proposes a fractional least mean square (F-LMS) based power management strategy. By using the power converter of the SPV system, the load currents are compensated locally, ensuring distortion-free grid voltages and currents. Moreover, this method enables autonomous operation of the SPV system during grid disruption, enhancing power resilience.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Thermodynamics
Adel Merabet, Ahmed Al-Durra, Ehab F. El-Saadany
Summary: The paper introduces an improved energy management system to reduce energy costs and increase battery lifespan in a hybrid solar and wind microgrid. By analyzing different contribution factor profiles and implementing load shifting mechanism, the system shows superiority in reducing costs and improving battery degradation compared to conventional systems. Linear contribution factor and load shifting result in daily costs of $68.27 for energy and $0.81 for degradation, representing significant decreases compared to traditional systems.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
M. Ahmadifar, K. Benfriha, M. Shirinbayan, A. Aoussat, J. Fitoussi
Summary: This study investigates the impact of innovative polymer-metal interface treatment on the reliability and robustness of hydrogen storage technology. A scaled-down demonstrator was fabricated using rotomolding to examine the mechanical characteristics, damage, and fatigue behaviors of the metal-polymer interface. The findings reveal that sandblasting treatment enhances the resilience of the interface.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
A. A. Kandil, Mohamed M. Awad, Gamal I. Sultan, Mohamed S. Salem
Summary: This paper proposes a novel hybrid system that splits solar radiation into visible and thermal components using a beam splitter and integrates a phase change material (PCM) packed bed with a PV cell. Experimental and theoretical analyses show that the hybrid configuration significantly increases the net power output of the system compared to using a PV system alone.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Jinchao Li, Ya Xiao, Shiqiang Lu
Summary: The combination of energy storage and microgrids is crucial in addressing the uncertainty of distributed wind and solar resources. This article proposes a multi microgrid interaction system with electric-hydrogen hybrid energy storage, which optimizes the system's capacity configuration to improve its economy and reliability.
JOURNAL OF ENERGY STORAGE
(2024)
Review
Energy & Fuels
Shri Hari S. Pai, Sarvesh Kumar Pandey, E. James Jebaseelan Samuel, Jin Uk Jang, Arpan Kumar Nayak, HyukSu Han
Summary: This review discusses the structure-property relationship of nickel oxide nanostructures as excellent supercapacitive materials and provides an overview of various preparation methods and strategies to enhance specific capacitance. It comprehensively analyzes the current status, challenges, and future prospects of nickel oxide electrode materials for energy storage devices.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Xiaowei Wu, Xin Dong, Ziqin Liu, Xinyi Wang, Pu Hu, Chaoqun Shang
Summary: The growth of Li dendrites in lithium metal batteries is effectively controlled by constructing a three-dimensional framework on the surface of Li using Ni(OH)2 nanosheets modified Prussian blue tubes. This method provides a homogenous Li+ flux and sufficient space to accommodate the volume change of Li, resulting in suppressed dendrite growth and improved cycling performance.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Yan-Jie Liao, Yi-Yen Hsieh, Yi-Chun Yang, Hsing-Yu Tuan
Summary: We present two-dimensional AgInP2Se6 (AIPSe) bimetallic phosphorus trichalcogenides nanosheets as anodes for advanced alkali metal ion batteries (AMIBs). The introduction of bimetallic components enhances the electronic/ionic conductivity and optimizes the redox dynamics, resulting in superior electrochemical performance. The AIPSe@G anodes achieve high specific capacity, excellent cycle stability, and rate capability in both lithium-ion (LIBs) and potassium-ion batteries (PIBs). The comprehensive full cell tests further demonstrate the stability of AIPSe@G anodes under diverse current regimes.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Chenghu Wu, Weiwei Li, Tong Qian, Xuehua Xie, Jian Wang, Wenhu Tang, Xianfu Gong
Summary: In the context of increasing global environmental pollution and constant increase of carbon emission, hydrogen production from surplus renewable energy and hydrogen transportation using existing natural gas pipelines are effective means to mitigate renewable energy fluctuation, build a decarbonized gas network, and achieve the goal of carbon peak and carbon neutral in China. This paper proposes a quasi-steady-state modeling method of a hydrogen blended integrated electricity-gas system (HBIEGS) considering gas linepack and a sequential second-order cone programming (S-SOCP) method to solve the developed model. The results show that the proposed method improves computational efficiency by 91% compared with a general nonlinear solver.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Jingcen Zhang, Zhi Guo, Yazheng Zhu, Haifeng Zhang, Mengjie Yan, Dong Liu, Junjie Hao
Summary: In this study, a new type of sensible heat storage material was prepared using low-cost steel slag as the main component, providing an effective way of recycling steel slag. By analyzing the effects of different pretreatment steel slag content and sintering temperatures on the organization and properties of heat storage materials, the study found that the steel slag heat storage material exhibited excellent performance and stability under certain conditions.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
D. Carrillo-Pena, G. Pelaz, R. Mateos, A. Escapa
Summary: Methanogenic biocathodes have the potential to convert CO2 and electricity into methane, making them suitable for long-term electrical energy storage. They can also function as biological supercapacitors for short-term energy storage, although this aspect has received less attention. In this study, carbon-felt-based MB modified with graphene oxide were investigated for their electrical charge storage capabilities. Results showed that the potential of the electrode during discharging plays a significant role in determining the charge storage capacity.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Marco Gambini, Federica Guarnaccia, Michele Manno, Michela Vellini
Summary: This paper presents an analytical assessment of the energy-power relationship for different material-based hydrogen storage systems. It explores the impact of power demand on the amount of discharged hydrogen and the utilization factor. The results show that metal hydrides have higher specific power compared to liquid organic hydrogen carriers. The study provides insights into the discharge duration and energy utilization of hydrogen storage systems.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Shujahadeen B. Aziz, Rebar T. Abdulwahid, Pshko A. Mohammed, Srood O. Rashid, Ari A. Abdalrahman, Wrya O. Karim, Bandar A. Al-Asbahi, Abdullah A. A. Ahmed, M. F. Z. Kadir
Summary: This study investigates a novel biodegradable green polymer electrolyte for energy storage. Results show that the sample with added glycerol has the highest conductivity. The primary conduction species in the electrolyte are ions. Testing confirms that the sample can withstand a voltage suitable for practical applications.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Binit Kumar, Abhishek Awasthi, C. Suresh, Yongseok Jeon
Summary: This study presents a new numerical model for effective thermal conductivity that overcomes the limitations of previous models. The model can be applied to various shapes and phase change materials, using the same constants. By incorporating the natural convection effect, the model accurately calculates the thermal conductivity. The results of the study demonstrate the effectiveness of the model for different shapes and a wide range of alkanes.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Supak Pattaweepaiboon, Wisit Hirunpinyopas, Pawin Iamprasertkun, Katechanok Pimphor, Supacharee Roddecha, Dirayanti Dirayanti, Adisak Boonchun, Weekit Sirisaksoontorn
Summary: In this study, electrode powder from spent zinc-carbon/alkaline batteries was upcycled into LiMn2O4 cathode and carbon anode for rechargeable lithium-ion batteries. The results show that the upcycled LiMn2O4 exhibits improved electrochemical performance, with higher discharge capacity compared to pristine LiMn2O4. Additionally, the recovered carbon materials show superior cycling performance. This research provides great potential for upcycling waste battery electrodes to high-value cathode and anode materials for lithium-ion battery applications.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Pan Yang, H. D. Yang, X. B. Meng, C. R. Song, T. L. He, J. Y. Cai, Y. Y. Xie, K. K. Xu
Summary: This paper introduces a novel multi-task learning data-driven model called GBLS Booster for accurately assessing the state of health (SOH) and remaining useful life (RUL) of lithium batteries. The model combines the strengths of GBLS and the CNN-Transformers algorithm-based Booster, and the Tree-structured Parzen Estimator (TPE) algorithm is used for optimization. The study devises 10 healthy indicators (HIs) derived from readily available sensor data to capture variations in battery SOH. The random forest method (RF) is employed for feature refinement and data dimension reduction, while the complete empirical mode decomposition (CEEMDAN) method and the Pearson correlation coefficient are used for noise reduction and data point elimination in RUL prediction. The proposed model demonstrates exceptional accuracy, robustness, and generalization capabilities.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
M. Arrinda, M. Oyarbide, L. Lizaso, U. Osa, H. Macicior, H. J. Grande
Summary: This paper proposes a robust aging model generation methodology for lithium-ion batteries with any kind of lab-level aging data availability. The methodology involves four phases and ensures the robustness of the aging model through a verification process.
JOURNAL OF ENERGY STORAGE
(2024)