Article
Green & Sustainable Science & Technology
Shoaib Khanmohammadi, Mohammad Rahmani, Farayi Musharavati, Saber Khanmohammadi, Quang-Vu Bach
Summary: Researchers have studied an integrated energy system consisting of compressed air energy storage, Rankine cycle, PEM fuel cell, and TEG modules, which showed improved energy and exergy efficiency compared to conventional systems. Through parametric analysis and tri-objective optimization, the optimal performance values for energy efficiency, total useful output, and charge time were determined.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Energy & Fuels
Peng Li, Guoneng Li, Jianyang Liu, Hang Su, Xu Han, Zhonghe Han
Summary: The traditional AA-CAES-SC system with a solar collector has higher efficiency but significant air energy loss. A proposed improvement in the energy release process of the system showed a slight reduction in cycle efficiency but increased heating, cooling, net present value, and carbon emission reduction. Parameter sensitivity analysis explored the influence of various factors on the system evaluation index.
JOURNAL OF ENERGY STORAGE
(2023)
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.
Review
Green & Sustainable Science & Technology
Elaheh Bazdar, Mohammad Sameti, Fuzhan Nasiri, Fariborz Haghighat
Summary: This paper provides a comprehensive review of the technological developments and application potentials of compressed air energy storage (CAES) in energy systems. It also presents a detailed review of recent research progress and challenges of CAES technology, as well as discusses the limitations and future perspectives of CAES.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Yuxing Ding, Olumide Olumayegun, Yue Chai, Yurong Liu, Meihong Wang
Summary: This study proposed a novel combined cooling, heating and power system that improves the round-trip efficiency of the compressed air energy storage (CAES) system. Through the recovery of waste heat and the provision of cooling capacity, the proposed system showed higher electrical energy output and improved efficiency compared to commercially deployed CAES systems.
Article
Energy & Fuels
Zhan Liu, Jialu Ding, Xinyu Huang, Zhengguang Liu, Xuewen Yan, Xianglei Liu, Xiaohu Yang
Summary: Offshore wind power has gained attention in recent years for its advantages of high wind speed, constant wind direction, abundant wind energy resources, and sufficient utilization hours. The integration of underwater compressed air energy storage into offshore wind farms has been recognized as one of the most competitive technologies. However, the economics of this storage device become a challenge in shallow-water areas. To address this issue, a hybrid heat and underwater compressed air energy storage system is proposed to integrate with fluctuating renewable energies. The study examines both the thermodynamics and economics of the system under constant or varying power input and finds that the water depth has a significant impact on system behavior. The results demonstrate the greater value of the system integrating with solid thermal energy storage in managing offshore renewable powers. It also suggests that using a larger diameter underwater pipe can improve system performance.
Article
Thermodynamics
Giuseppe Lucarelli, Matteo Genovese, Gaetano Florio, Petronilla Fragiacomo
Summary: The article discusses the use of a novel multi-objective optimization model for tri-generative energy systems, considering technical, economic, and environmental objectives. The model was employed to simulate the daily operation of various system configurations and evaluate the data. A comparison was made among 22 technology sets, resulting in the identification of an optimal tri-generation plant for a large industrial user.
Article
Green & Sustainable Science & Technology
Shayan Sadeghi, Pouria Ahmadi
Summary: A novel CAES system integrated with CCHP using CO2 as working fluid is proposed and analyzed in this study. The system shows potential in reducing CO2 emissions and has been optimized for exergy efficiency, normalized CO2 emissions, and total cost rate. Results indicate that the system has the ability to efficiently produce cooling and heating while minimizing environmental impact.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Engineering, Electrical & Electronic
Mojtaba Jabbari Ghadi, Dillip Kumar Mishra, Ali Azizivahed, Li Li, Jiangfeng Zhang
Summary: This paper proposes the concept of mobile compressed air energy storage (MCAES) for electric distribution networks. It maps the grid configuration onto an urban region to overcome routing challenges for trucks. The application of MCAES is demonstrated on IEEE 136-bus and IEEE 33-bus distribution networks, showing its competence in optimizing the grid's operating profit, power loss, energy not supplied, and voltage stability index.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
A. Gouder, F. Podjaski, A. Jimenez-Solano, J. Kroeger, Y. Wang, B. V. Lotsch
Summary: We present an earth-abundant solar battery based on a carbon nitride photoanode, combined with organic hole transfer and storage materials. This concept allows charging with light during both electrical charge and discharge, significantly increasing the energy output of the cell.
ENERGY & ENVIRONMENTAL SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Haoshui Yu, Seiji Engelkemier, Emre Gencer
Summary: This study proposes two novel CAES systems and compares their thermodynamic performance with conventional CAES systems. The bottleneck of CAES plants is identified as the turbine inlet temperature and the maximum cavern storage pressure. The conflicting objectives are the round-trip efficiency and energy density. Pareto fronts are obtained based on a simulation-based multi-objective optimization framework developed in this study. The results show that the novel CAES systems improve the round-trip efficiency and provide potential solutions for CAES system performance improvement.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Fereydoun Bahramian, Amin Akbari, Miralireza Nabavi, Saeed Esfandi, Esfandiyar Naeiji, Alibek Issakhov
Summary: Transient performance assessment and techno-economic analysis were conducted for a novel smart energy system driven by hybrid solar-Hydrogen energies, and a cutting-edge optimization method was used to find the best solution point.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Engineering, Electrical & Electronic
Shixu Zhang, Shihong Miao, Yaowang Li, Binxin Yin, Chao Li
Summary: This study presents a schedule strategy for RIES considering multiple applications of AA-CAES to optimize the economic benefits of EHO. The results show that the multiple application capacity of AA-CAES can significantly increase the overall profit of EHO, enhance the operational flexibility of RIES, and optimize market trading strategies.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
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
Engineering, Multidisciplinary
TaiXiu Liu, ZhiMei Zheng, YuanLong Qin, Jun Sui, QiBin Liu
Summary: Multi-energy hybrid energy systems are crucial for achieving carbon neutrality by mitigating fluctuations in renewable energy supply. The utilization of solar-fuel thermochemical hybrid upgrades solar energy to chemical energy, improving solar energy utilization efficiency and reducing CO2 emissions. This study proposes a new operation strategy and optimization method for a mid-and-low temperature solar-fuel thermochemical hybrid CCHP system to enhance system performance.
SCIENCE CHINA-TECHNOLOGICAL 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.