Article
Energy & Fuels
Cao Zheng, Xia Qi, He Yang, Xu Yujie, Chen Haisheng, Deng Jianqiang
Summary: This paper investigates the characteristics of the A-CAES system for trigeneration and analyzes the load of a typical residential area in different seasons. By matching the load and trigeneration of the system, the efficiency of energy utilization is increased. Furthermore, economic analysis shows that the A-CAES system can significantly reduce the annual energy supply cost for residential areas and maximize daily profit.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Thermodynamics
Shucheng Huang, Amir Khajepour
Summary: The paper introduces a novel Adiabatic Compressed Air Energy Storage (ACAES) system to improve the stability in power output for wind farms and solar farms during peak demand. Compared to existing designs, the proposed system offers advantages in reduced cost, space, and operation simplicity.
Article
Thermodynamics
Pan Zhao, Peizi Wang, Wenpan Xu, Shiqiang Zhang, Jiangfeng Wang, Yiping Dai
Summary: The CH-CAES system, with compressors and electrical heaters handling different components of wind power fluctuations, features a dual power levels turbomachinery configuration that effectively smoothes out wind power fluctuations. Simulation results demonstrate the capability of the CH-CAES system to mitigate wind power fluctuations through spectral analysis and off-design models of key components.
Article
Thermodynamics
Longxiang Chen, Liugan Zhang, Huipeng Yang, Meina Xie, Kai Ye
Summary: This study proposes a novel re-compressed adiabatic compressed air energy storage (RA-CAES) system to increase the operating pressure of the expansion train. The system utilizes potential induced degradation control technology and outperforms conventional A-CAES in terms of round trip efficiency (RTE), with an increment of 4.66%.
Article
Energy & Fuels
Mahdi Zarnoush, Pezhman Pourmadadi Golaki, M. Soltani, Eliyad Yamini, Farbod Esmaeilion, Jatin Nathwani
Summary: Compressed air energy storage is a mature technology for electrical energy storage. A new study investigates the impact of different working fluids on the performance of the system, using hydrogen and nitrogen. The results show that changing the working fluid improves the system performance, with round-trip efficiencies ranging from 54.5% to 63.47% and payback periods ranging from 1.2 to 5.4 years.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Green & Sustainable Science & Technology
Marcus King, Anjali Jain, Rohit Bhakar, Jyotirmay Mathur, Jihong Wang
Summary: Compressed air energy storage (CAES) is a technology that can aid in achieving decarbonisation goals for electrical power systems, requiring locations with suitable geological features for development. In India, approximately 1.05% of land is deemed suitable for CAES plant development, but due to the presence of other competing energy storage technologies, the actual development potential is relatively low.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Energy & Fuels
Chao (Chris) Qin, Eric Loth
Summary: The study proposes a concept that leverages underground reservoirs of abandoned oil or gas wells to enhance the dispatchability of wind farms and reduce overall costs. This approach can not only lower the cost of generator sizing, but also increase energy production and decrease storage system costs, while attracting more infrastructure investments.
Article
Energy & Fuels
Fei Hu, Xisheng Zhan, Behdad Arandian
Summary: A microenergy grid system is proposed, including heat and power networks powered by adiabatic compressed air energy storage, considering uncertainties and a corrective forecasting algorithm.
ENERGY SCIENCE & ENGINEERING
(2021)
Article
Thermodynamics
Yang He, MengWang, Haisheng Chen, Yujie Xu, Jianqiang Deng
Summary: The study compared the performance of high-pressure stage turbines under different inlet pressures in NV-CAES system, demonstrating that turbine B has a wider operating range and higher performance, improving system efficiency. By establishing thermodynamic and exergy efficiency models, the performance of NV-CAES systems can be effectively simulated.
Article
Energy & Fuels
Ji Han, Shihong Miao, Zhe Chen, Zhou Liu, Yaowang Li, Weichen Yang, Ziwen Liu
Summary: This paper proposes a coordinated control framework for wind farms and adiabatic compressed air energy storage stations to balance power fluctuations, achieving improved system frequency nadirs. The three-level control method effectively distributes frequency regulation power and enhances system frequency nadirs across different wind power and A-CAES capacities.
Article
Energy & Fuels
Peng Ran, Haiyang Zhang, Yu Qiao, Jing Wang, Zheng Li, Yase Wang
Summary: The SI-ACAES system proposed in this paper aims to enhance the installed capacity and output of ACAES systems by preheating and humidifying the inlet working medium of the turbine. Energy and exergy analyses were conducted to evaluate the performance of the system, showing improvements in turbine power, round trip efficiency, compression heat utilization efficiency, and exergy round trip efficiency compared to traditional ACAES systems. The exergy efficiency increases with throttle valve outlet pressure, but also depends on the inlet water flowrate to the saturator and external inlet air flowrate to heat exchanger 8.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Xinjing Zhang, Chao(Chris) Qin, Yujie Xu, Wen Li, Xuezhi Zhou, Ruimin Li, Ye Huang, Haisheng Chen
Summary: A small-scale CAES system utilizing scroll machines was developed and integrated into a wind generation system. Simulation analysis revealed that the integration of distributed renewables with an energy storage system can enhance flexibility and meet fluctuating power demand. The energy utilization efficiency of the system reached as high as 88.75% in a typical day, with a 15% reduction in maximal installation capacity.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Nicolas Courtois, Mostafa Najafiyazdi, Reza Lotfalian, Richard Boudreault, Mathieu Picard
Summary: This study focuses on the cycle efficiency equation for Compressed Air Energy Storage (CAES) systems, considering the impact of pressure ratio and temperature on efficiency. It introduces a simple analytical expression applicable to A-CAES systems, providing a robust tool for preliminary sizing.
Article
Energy & Fuels
Ruixiong Li, Yan Zhang, Hao Chen, Haoran Zhang, Zhenshuai Yang, Erren Yao, Huanran Wang
Summary: This study proposed a novel thermal energy storage strategy using multiple phase change materials to reduce thermal energy loss in adiabatic compressed air energy storage. Results showed that using multiple phase change materials could increase efficiency by 4.7%.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Li Qingsheng, Li Zhen, Zhang Zhaofeng, Tao Yibin, Bian Ruien
Summary: The rapid development of wind power has posed challenges to the power system operation. Energy storage systems have great potential in promoting wind power integration into the grid, but their high cost limits their development. To address the power fluctuation issue in large-scale wind power grid connection, an allocation strategy for energy storage capacity in combined wind-storage systems is proposed, taking into account wind power output volatility and operational constraints of battery storage systems. The calculation results validate the effectiveness of the optimal allocation strategy.
Article
Energy & Fuels
Xueyu Chang, Yuxing Li, Jianlu Zhu, Xuehui Zhang, Wen Li, Chao Wang, Haisheng Chen, Jie Chen, Weiping Zeng
Summary: This study analyzes the effects of three different sloshing forms on the liquefaction performance and equipment of DMR system through sloshing experiments. The results show that sloshing reduces liquefaction performance, increases power consumption, and has adverse effects on fluid distribution and heat transfer in the heat exchanger.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2023)
Article
Nuclear Science & Technology
Dong Yang, Lin Chen, Yongchang Feng, Haisheng Chen
Summary: This paper investigates the heat transfer mechanism of supercritical water during the transition process from subcritical to supercritical states. The results reveal that the difference in thermophysical properties between the boundary layer and the core region is the main reason for the heat transfer behavior, and the flow structure on the buffer layer is a dominating factor for heat transfer deterioration.
NUCLEAR SCIENCE AND ENGINEERING
(2023)
Article
Thermodynamics
Han Zhang, Liang Wang, Xipeng Lin, Haisheng Chen
Summary: The Joule-Brayton cycle-based pumped thermal electricity storage (PTES) system has a simple structure, high energy density, and geographical independence, which has broad application prospects. This study conducted multi-dimensional optimization and detailed analysis of loss and thermo-economic performance for PTES systems with various charging/discharging durations. The results showed that longer charging/discharging duration enhances the economic performance and the optimal dimensions of the cold and hot reservoirs are different.
Article
Thermodynamics
Zi-Yu Liu, Lin Chen, Haisheng Chen
Summary: This study focused on the optimization of the CO2 potential model for molecular dynamics simulation in the supercritical region. The results showed that the optimized model provided accurate descriptions of CO2 properties and heat transfer in the supercritical state.
HEAT TRANSFER ENGINEERING
(2023)
Article
Energy & Fuels
Liang Wang, Xipeng Lin, Han Zhang, Long Peng, Haoshu Ling, Shuang Zhang, Haisheng Chen
Summary: A novel pumped thermal-liquid air energy storage (PTLAES) system is proposed in this paper, which converts electricity to heat and liquid air and re-converts them to electricity when needed. With a high energy storage density and no requirement for low-density cold storage devices, the PTLAES system shows round-trip efficiencies in the range of 58.7% to 63.8% and an energy storage density of 107.6 kWh/m3 when using basalt as the thermal energy storage material.
Article
Thermodynamics
Lin Lin, Liang Wang, Yakai Bai, Xipeng Lin, Shuang Zhang, Zhiwei Ge, Long Peng, Haisheng Chen
Summary: Thermal energy storage (TES) is an effective solution to the temporal mismatch between energy generation and users' requirements. The spray-type packed bed TES technology, with its high efficiency and low cost, shows promising development prospects. Experimental results indicate that the charging temperature and flow rate have minimal impact on the heat storage performance, and higher charging temperature and lower flow rate result in a more uniform temperature distribution.
APPLIED THERMAL ENGINEERING
(2023)
Article
Energy & Fuels
Ruijia Ren, Binlin Dou, Hua Zhang, Kai Wu, Yadong Wang, Haisheng Chen, Yujie Xu
Summary: In this study, a mesoporous Ni/CeO2 catalyst with high specific surface area was prepared and used for glycerol dry reforming. Thermodynamic analysis was conducted to minimize Gibbs's free energy. The characterization results showed that a higher Ni content resulted in weaker interaction between Ni and the CeO2 support. The 5Ni/CeO2 catalyst exhibited the best catalytic activity and glycerol conversion reached 84.1% at 750 degrees C. The catalysts also showed excellent stability during the 10-hour catalytic process. The activation energy of the Ni-based catalyst for glycerol dry reforming was calculated using a kinetic model assuming a power law as a first-order reaction.
Article
Thermodynamics
Chunyang Wang, Xiao Yang, Yanan Shen, Ting Zhang, Xinghua Zheng, Haisheng Chen
Summary: A three-dimensional numerical study was conducted to investigate the cooling performance of a thermoelectric module with multilayer pyramid thermoelectric legs. Two physical models, rectangular shaped and multilayer pyramid thermoelectric cooling modules, were compared. The study focused on the effect of leg height, side ratio, and the number of leg layers on the cooling performance. The results showed that the multilayer pyramid module had better cooling performance than the rectangular shaped module, with a maximum reduction of 11.25 K in the minimum averaged temperature of the cold surface. However, the cooling performance of the multilayer pyramid module was not very good when the values of side ratio and the number of leg layers were low. A recommended map for evaluating the cooling performance was presented based on the side ratio, the number of leg layers, and the heights of thermoelectric legs.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2023)
Article
Materials Science, Composites
Chang Liu, Hualiang Zhang, Haisheng Chen, Yujie Xu, Yangli Zhu
Summary: This work presents a beam element approach for the modeling and high-efficiency simulation of mechanical properties of 2.5D woven composite. A technical scheme for the parametric modeling of 2.5D woven fabrics was proposed, and a method for creating matrix beam elements was also developed. The mechanical properties of the 2.5D woven composite were then simulated using a beam element solver.
JOURNAL OF REINFORCED PLASTICS AND COMPOSITES
(2023)
Article
Thermodynamics
Xiuyan Yue, Yujie Xu, Xuezhi Zhou, Xinjing Zhang, Youqiang Linghu, Xiang Wang, Haisheng Chen
Summary: A novel combined cooling and heating storage system based on zeolite-water is proposed to effectively recover low and medium grade heat energy. The system combines zeolite-water adsorption process with water evaporation refrigeration process to generate cold energy and heat energy simultaneously. The study reveals the change laws of system performances during the discharging process, such as energy generated, energy conversion coefficient, and energy density. This research provides a way for efficient utilization of low and medium grade heat energy.
JOURNAL OF THERMAL SCIENCE
(2023)
Review
Materials Science, Multidisciplinary
Yanan Shen, Xue Han, Pengyu Zhang, Xinyi Chen, Xiao Yang, Ding Liu, Xiaona Yang, Xinghua Zheng, Haisheng Chen, Kun Zhang, Ting Zhang
Summary: With the development of IoT technology, wearable electronics have brought significant changes to our lives. The demand for low power consumption and mini-type power systems for wearable electronics is more urgent than ever. Thermoelectric materials are ideal candidates for wearable power systems as they can efficiently convert temperature difference into electrical energy without mechanical components. This review comprehensively introduces the complete process from thermoelectric materials to single-fiber/yarn devices to thermoelectric textiles, summarizing strategies for enhancing thermoelectric performance, processing techniques for fiber devices, and applications of thermoelectric textiles. Additionally, challenges and future prospects in the field are discussed.
ADVANCED FIBER MATERIALS
(2023)
Article
Energy & Fuels
Jixiang Chen, Zhitao Zuo, Xin Zhou, Wenbin Guo, Jianting Sun, Haisheng Chen
Summary: This article presents a multiobjective optimization design method for the radial inlet chamber (RIC) of the oblique flow compressor in CAES system. After optimization, the RIC area is expanded, the transition of the meridian profile is smoother, and both the distortion coefficient and total pressure loss coefficient are reduced. By using the optimized RIC, the performance of the oblique flow compressor has been improved.
Article
Energy & Fuels
Han Zhang, Liang Wang, Xipeng Lin, Haisheng Chen
Summary: This study innovatively proposes two operation modes for compressors and expanders operating at a constant rotational speed (CRS) and compares their performances with the traditional constant compression ratio (CCR) operation mode. The results show that the proposed CRS operation mode significantly improves the system storage performance. This research provides a theoretical basis for formulating appropriate system control schemes and further optimizing operational control strategies.
Article
Chemistry, Multidisciplinary
Yi Zhang, Yifu Li, Zhongchao Tan
Summary: Superhydrophobic surfaces based on electrospun fibrous structures offer advantages in additive manufacturing and gas passage. By studying droplet wetting behavior on directionally aligned fibers, this article achieves superhydrophobicity with adjustable adhesion.
Article
Chemistry, Multidisciplinary
Yuanyuan Jing, Jun Luo, Xue Han, Jiawei Yang, Qiulin Liu, Yuanyuan Zheng, Xinyi Chen, Fuli Huang, Jiawen Chen, Qinliang Zhuang, Yanan Shen, Haisheng Chen, Huaizhou Zhao, G. Jeffrey Snyder, Guodong Li, Ting Zhang, Kun Zhang
Summary: Researchers have developed a large-area, durable, washable, and skin-conformable wearable thermoelectric textile that can rapidly and stably cool the body surface and be powered by solar energy, reducing energy consumption.
ENERGY & ENVIRONMENTAL SCIENCE
(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.
