Article
Environmental Sciences
Beibei Xu, Jingjing Zhang, Monica Egusquiza, Junzhi Zhang, Diyi Chen, Eduard Egusquiza
Summary: In the forthcoming decades, wind-solar energy will significantly grow in the power system, leading to uncertainties in power fluctuations; Pumped Storage Power Plants are crucial for regulating these fluctuations. A mathematical model was used to assess the reliability of PSPP in regulating wind-solar power, identifying the inertia coefficient as the most sensitive parameter for regulation.
Article
Thermodynamics
Yasser F. Nassar, Mohammad J. Abdunnabi, Mohamed N. Sbeta, Ahmad A. Hafez, Khaled A. Amer, Abdulaziz Y. Ahmed, Basim Belgasim
Summary: This paper presents a simple and effective method to optimize the sizing of a PHS-integrated hybrid PV/Wind power system for sustainable electricity supply in an urban community in Brack city, Libya. Constraints such as operating conditions and output uncertainty of RESs are considered to determine the optimal size, showing that coupling hybrid systems with PHS is a cost competitive and reliable alternative for sustainable energy supply in suitable urban areas.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Yuwen Deng, Pengfei Wang, Alessandro Morabito, Wenfeng Feng, Apel Mahmud, Diyi Chen, Patrick Hendrick
Summary: This study evaluates the regulatory performance of variable-speed pumped storage plants in mitigating wind power fluctuations, contributing to the flexibility and reliability of the grid through simulations and analysis. The results demonstrate that VSPSPs have excellent performance in rapid power regulation.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Rajesh Kumar, Arun Kumar
Summary: The entry of renewable energy sources has significantly impacted the safety and stability of the power sector, with pumped storage hydro plants proving to be effective in balancing demand and generation. The study shows that variable speed operation can increase net profit compared to fixed speed operation.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2021)
Article
Engineering, Mechanical
Wencheng Guo, Jiening Li
Summary: This paper investigates the stability and multi-frequency dynamic characteristics of nonlinear grid-connected pumped storage-wind power interconnection system (PS-WPIS). The study establishes a nonlinear model, analyzes stable domain and dynamic response, explains the coupling mechanism, and studies the effects of various parameters. The results reveal the characteristics of the system, such as the stable domain, multi-frequency oscillations, and the impact of capacity ratio on stability.
NONLINEAR DYNAMICS
(2023)
Review
Energy & Fuels
Subrat Bhol, Nakul Charan Sahu
Summary: Distributed generation has great potential, but requires optimization for optimal configuration; deploying in unfavorable locations can lead to problems; the paper covers various renewable energy generation technologies such as solar PV, wind power, and pumped hydro storage systems.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Thermodynamics
Mario Petrollese, Mario Cascetta, Vittorio Tola, Daniele Cocco, Giorgio Cau
Summary: A novel Pumped Thermal Energy Storage (PTES) system integrated with a Concentrating Solar Power (CSP) plant is proposed and investigated. The system operates with the same working fluid as the CSP plant and includes a Thermal Energy Storage (TES) system composed of three packed-bed tanks. Mathematical models were developed to simulate the system's performance and evaluate the thermal profiles of the TES tanks. A feasible design with an exergetic roundtrip efficiency of about 60% was proposed based on the results.
Article
Thermodynamics
Shuozhuo Hu, Zhen Yang, Jian Li, Yuanyuan Duan
Summary: Pumped thermal energy storage (PTES) technology is studied in this research, revealing a trade-off relationship between storage efficiency, cost, and capacity. Integrating additional low-grade heat sources can enhance the performance coefficient of heat pumps, and optimizing system parameters can improve efficiency and reduce costs. Waste heat is identified as the most suitable heat source for PTES integration.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
M. A. Russo, D. Carvalho, N. Martins, A. Monteiro
Summary: The impact of climate change on wind and solar resources for renewable electricity production was assessed, showing significant changes in wind speed and solar radiation during different seasons. These changes may pose a threat to the stability of future renewable electricity production.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Energy & Fuels
Mario Cascetta, Fabio Licheri, Rosa P. Merchan, Mario Petrollese
Summary: This study analyzes the expected performance of an innovative PTES system integrated with a CSP plant. The results demonstrate the technical feasibility of the integration and the ability of the system to participate in energy arbitrage.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Evangelos Bellos, Christos Tzivanidis, Zafar Said
Summary: This work investigates a solar-assisted pumped thermal energy storage system which utilizes solar collectors, a heat pump, a storage system, and an organic Rankine cycle. By analyzing with a mathematical program, it was found that the optimum storage temperature is 150℃ and the optimum temperature in the evaporator of the heat pump is 75℃, resulting in a power recovery ratio of 68.48%, an organic Rankine cycle efficiency of 18.45%, and a heat pump coefficient of performance of 3.704.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Yu-Zhi Chen, Elias Tsoutsanis, Chen Wang, Lin-Feng Gou
Summary: In recent years, there has been an increasing interest in gas turbine fault diagnosis, especially under dynamic conditions. This is due to the evolving operating profile of gas turbines and the need for efficient and accurate diagnostic solutions in real-time. The main challenges of fault diagnosis in real-time include power imbalance, heat soakage phenomenon, and sudden failures during transient operation. This study proposes a novel gas turbine diagnostic approach based on time-series measurements, which effectively quantifies the power balance and accurately diagnoses faults under both steady-state and transient conditions.
Article
Green & Sustainable Science & Technology
H. C. Bloomfield, D. J. Brayshaw, A. Troccoli, C. M. Goodess, M. De Felice, L. Dubus, P. E. Bett, Y. -M. Saint-Drenan
Summary: Climate change will have a significant impact on future European power systems, especially in the energy balance after 2030. Under different power system scenarios, national power systems may be significantly affected by climate change, particularly in terms of seasonal variations in renewable resources.
Article
Thermodynamics
M. Basu
Summary: This study introduces a social group entropy optimization (SGEO) technique to solve fuel constrained dynamic economic dispatch, showing effective control of fuel consumption and superior-quality solutions compared to other optimization methods.
Article
Energy & Fuels
Giovanna Cavazzini, Alberto Benato, Giorgio Pavesi, Guido Ardizzon
Summary: Wind and solar energy are renewable sources with great potential but require energy storage solutions to address supply-demand mismatches. The hybridization of seawater PHES with a wind farm can improve revenue and resolve imbalances in power generation.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Green & Sustainable Science & Technology
Pengfei Wang, Yuwen Deng, Huanhuan Li, Diyi Chen
Summary: This study reveals the coupling relationship between subsystems in the transient process of hydropower generation system through information flow, which is bidirectional and unaffected by load changes. The most strongly coupled part of the information is the parameters at the end of the path, which can change the dynamic characteristics of the system.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Engineering, Marine
Cheng Siong Chin, Yan-Jie Tan, Mohan Venkatesh Kumar
Summary: Hybrid propulsion systems, incorporating sources such as diesel and batteries, have been widely adopted for land-based vehicles and marine vessels to reduce emissions and fuel consumption. Simulation of a large merchant ship's voyage showed successful application in reducing emissions and fuel consumption through peak shaving and boosting.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Physics, Multidisciplinary
Fei Chen, Wanfu Tian, Liyao Zhang, Jiazheng Li, Chen Ding, Diyi Chen, Weiyu Wang, Fengjiao Wu, Bin Wang
Summary: This paper proposes a transformer fault diagnosis method based on the combination of time-shift multiscale bubble entropy (TSMBE) and stochastic configuration network (SCN). The method successfully achieves accurate identification of different transformer state signals by using bubble entropy and TSMBE as fault feature extraction tools.
Article
Green & Sustainable Science & Technology
Tang Xin, Jiang Wei, Li Qiuying, Gaoyang Hou, Zhang Ning, Wang Yuchuan, Chen Diyi
Summary: The study analyzed the distribution of hydraulic losses in PAT using entropy generation theory. Results showed that energy losses mainly concentrate on guide vane, volute, and runner, with wall effect and velocity fluctuation as primary factors, guiding optimization of corresponding structures design.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Rui Jia, Mengjiao He, Xinyu Zhang, Ziwen Zhao, Shuo Han, Jakub Jurasz, Diyi Chen, Beibei Xu
Summary: This study proposes a vibration avoidance strategy based on unit commitment to solve the vibration issues in hydro-wind-photovoltaic complementary generation systems. Multi-objective optimization is used to minimize water consumption, the frequency of crossing vibration zones, and the number of units involved in regulation. The results show that photovoltaic power is more effective than wind power in avoiding vibration zones.
Article
Thermodynamics
Xingjin Zhang, Pietro Elia Campana, Xiaojian Bi, Monica Egusquiza, Beibei Xu, Cong Wang, Hongyan Guo, Diyi Chen, Eduard Egusquiza
Summary: The hydro-wind-solar-storage bundling system plays a critical role in solving the spatial and temporal mismatch problems between renewable energy resources and the electric load in China. This study compares the role of technical and economic indicators of capacity configuration and explores the constraint relationship between electricity price and transmission constraints. Three screening principles of capacity configuration are proposed to reveal the techno-economic interaction.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Xinyao Lan, Jiahui Jin, Beibei Xu, Diyi Chen, Monica Egusquiza, Jin-Hyuk Kim, Eduard Egusquiza, Nejadali Jafar, Lin Xu, Yuan Kuang
Summary: This study analyzes the influence of geometric and hydraulic parameters on the hydraulic characteristics of the Hydroelectric Generating Systems (HGS) with Coaxial Shaft Surge Tank (CSST) in the transient process. The results show that changing the diversion tunnel diameter and the impedance hole coefficient can adjust the hydraulic parameters and optimize the operational safety of the system.
Article
Green & Sustainable Science & Technology
Ziwen Zhao, Yichen Yuan, Mengjiao He, Jakub Jurasz, Jianan Wang, Monica Egusquiza, Eduard Egusquiza, Beibei Xu, Diyi Chen
Summary: This paper investigates the stability and efficiency performance of a pumped hydro energy storage system (PHESS) under various flexibility scenarios. A nonlinear model is established to study its stability and efficiency characteristics, and six flexibility scenarios are extracted based on historical power output. The results show that increased load variation negatively affects stability, with steeper parameter responses in the first 10 seconds compared to the later 30 seconds. Efficiency analysis reveals that friction loss is the dominant loss type in transient processes, except for the FL condition.
Article
Engineering, Mechanical
Wei Dong, Yan Dong, Jian Sun, Haichen Zhang, Diyi Chen
Summary: In this study, the IS 80-65-160 clean water centrifugal pump is investigated. By comparing the characteristics of flow, pressure pulsation, and radial force under different adjustment modes, it is found that frequency conversion adjustment can effectively reduce the amplitude of radial force pulsation, improving the stability of the pump.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF MECHANICAL ENGINEERING
(2023)
Article
Energy & Fuels
Weiyu Wang, Xunxin Zhao, Lijun Luo, Pei Zhang, Fan Mo, Fei Chen, Diyi Chen, Fengjiao Wu, Bin Wang
Summary: This paper proposes a rolling bearing diagnosis method by combining the attention entropy and adaptive deep kernel extreme learning machine (ADKELM). The method employs wavelet threshold denoising and empirical wavelet transform (EWT) to extract features, and optimizes the hyperparameters using the marine predators algorithm (MPA) for adaptive changes. The optimal ADKELM model is determined by analyzing the fault diagnosis performances.
Article
Energy & Fuels
Sha Li, Zezhou Cao, Kuangqing Hu, Diyi Chen
Summary: This paper focuses on the primary frequency regulation (PFR) performance of variable-speed pumped storage plants (VSPSPs) in isolated power systems. The hydraulic-mechanical-electrical numerical models are established to quantify the rotational speed stability of the pump-turbine and assess the effectiveness of variable-speed units (VSUs) in suppressing ultra-low frequency oscillation (ULFO). The results show that VSUs outperform fixed-speed units (FSUs) in the regulation process.
Article
Energy & Fuels
Shuo Han, Mengjiao He, Ziwen Zhao, Diyi Chen, Beibei Xu, Jakub Jurasz, Fusheng Liu, Hongxi Zheng
Summary: A day-ahead scheduling model is proposed for a hydro-wind hybrid power generation system, considering the power regulation flexibility and frequency response flexibility. The study shows that utilizing the flexibility of hydropower can reduce frequency deviation, wind power curtailment, and load loss. Decision makers can use the flexibility supply capacity of the hydropower station to determine the connected wind power capacity and system load for comprehensive benefits.
Article
Engineering, Mechanical
Pengfei Wang, Yixuan Guo, Zhenkun Xu, Weihao Wang, Diyi Chen
Summary: The hydropower generation system is a complex nonlinear system with hybrid state responses. This study proposes a data mining and data prediction strategy based on information causality and the PageRank algorithm, which is validated using a 250 MW hydropower unit. The results show that considering the information transfer sequences between variables improves prediction accuracy.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Thermodynamics
Yang Zhang, Wei Jiang, Yuchuan Wang, Ye Li, Diyi Chen
Summary: Pump-turbines are significant in modern power systems as they ensure power system frequency stability and compensate for the intermittent nature of new energy sources. The study investigates the vortex characteristics and pressure fluctuation intensity of the pump-turbine model operating in pump mode using the Large Eddy Simulation (LES) method. Results indicate that the impeller's wake vortex greatly influences the pump-turbine's internal flow field, originating from the vortex structure near the blade's suction surface. The distribution of trailing edge shedding vortex and shock vortex around the tongue is closely related to the impeller's wake vortex. The research emphasizes the importance of improving the pump-turbine's vortex structure for safe and stable operation.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Wenhui Dong, Zezhou Cao, Pengchong Zhao, Zhenbiao Yang, Yichen Yuan, Ziwen Zhao, Diyi Chen, Yajun Wu, Beibei Xu, M. Venkateshkumar
Summary: Due to its regulation flexibility and rapid response characteristics, hydropower has become the main force of grid frequency regulation. However, pursuing a faster response speed deteriorates the system's damping characteristics, causing low-frequency oscillations and threatening the safety and stability of the power station and the power grid. An improved quantized damping method is applied in this study, and a segmented optimal PID controller is proposed to balance the contradiction between regulation performance and damping characteristics. The results show that the proposed controller increases the damping of the hydropower system and ensures the safe and coordinated operation of the power grid and the power station.
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.
