Article
Energy & Fuels
Yu Yuan, Zhang Bai, Qibin Liu, Wenxin Hu, Bo Zheng
Summary: Driving the thermochemical recuperation enhances waste heat recovery and stores it in chemical form, proposing a new combined cooling, heating and power system. The power efficiency is improved by 7.8%-14.83% and there is a reasonable reduction in fuel consumption. The system operation flexibility is significantly improved by avoiding energy waste during off-design operation.
Article
Energy & Fuels
Yuan Zhou, Jiangjiang Wang, Fuxiang Dong, Yanbo Qin, Zherui Ma, Yanpeng Ma, Jianqiang Li
Summary: This paper proposes a novel operational strategy for CCHP systems by analyzing system flexibility and evaluating design and operational performance using a flexibility index. A multi-objective optimization model is constructed to improve the economic performance and flexibility of the system.
Article
Thermodynamics
Zepeng Han, Jiangjiang Wang, Zhiheng Cui, Chunyan Lu, Xiaoling Qi
Summary: The study introduces a novel full-spectrum solar-assisted methanol combined cooling, heating, and power system to improve comprehensive performance through optimization of energy efficiency, economics, and environmental impact. Results show that the comprehensive performance is optimal when the solar water heating area ratio is 0.5.
Article
Thermodynamics
Zhang Bai, Yu Yuan, Shengdong Zhou, Bo Zheng, Wenxin Hu
Summary: This study introduces the method of thermochemical recuperation (TCR) and integrates it into a typical CCHP system, aiming to enhance waste heat recovery and improve system power efficiencies. The results show that TCR can reduce irreversible loss and improve power efficiencies under different operation conditions.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Yu Yuan, Zhang Bai, Shengdong Zhou, Bo Zheng, Wenxin Hu
Summary: The integration of thermochemical recuperation (TCR) method into the CCHP system effectively improves the system operation flexibility and demand response characteristics through exhaust gas heat recovery and adjustable operation regulation.
Article
Green & Sustainable Science & Technology
Zheng Liang, Yingzong Liang, Xianglong Luo, Huasheng Wang, Wei Wu, Jianyong Chen, Ying Chen
Summary: The methanol-steam-reforming proton exchange membrane fuel cell system is a promising option for distributed cogeneration. The proposed equation-based optimization framework integrates heat and flowsheet optimization for the combined cooling, heating, and power system based on this fuel cell. Applying this framework to a 1000 kWe system achieved significantly higher energy and exergy efficiency, along with reduced levelized cost of electricity compared to a conventional design.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Energy & Fuels
Zhang Bai, Yu Yuan, Debin Kong, Shengdong Zhou, Qi Li, Shuoshuo Wang
Summary: This study applies thermochemical recuperation (TCR) to enhance the dynamic energy utilization performance of combined cooling, heating and power system (CCHP), and efficiently converts high-temperature exhaust gas heat into hydrogen-enrich syngas for further use. The results show that the TCR process effectively optimizes the system energy conversion, improves power efficiency, and enhances the flexibility to match fluctuating user loads. Therefore, the TCR technology has the potential to enhance the feasibility of distributed energy system applications.
Article
Energy & Fuels
Shengdong Zhou, Zhang Bai, Qi Li, Yu Yuan, Shuoshuo Wang
Summary: This paper proposes a regulation method combining thermochemical recuperation (TCR) and syngas storage to optimize the operation characteristics of combined cooling, heating, and power (CCHP) systems. The results show that this method can improve energy utilization efficiency and reduce fuel consumption.
Article
Thermodynamics
Shukun Wang, Lu Zhang, Chao Liu, Zuming Liu, Song Lan, Qibin Li, Xiaonan Wang
Summary: This study proposed a novel combined cooling, heating, and power system structure and discussed its techno-economic-environmental performance through comparative analysis, parametric study, and multi-objective optimization. The optimal results revealed the system's performance metrics, and a comparative study found that the proposed system structure exhibited excellent thermodynamic performance but worse economic performance compared to alternative integrated systems.
Article
Energy & Fuels
Xiaoyuan Chen, Yu Chen, Mingshun Zhang, Shan Jiang, Huayu Gou, Zhou Pang, Boyang Shen
Summary: This study introduces a hospital-oriented quad-generation (HOQG) concept for the combined cooling, heating, power, and gas needs of hospitals. By utilizing local renewable energy sources, high temperature superconducting power cables, and superconducting magnetic energy storage, a variety of clean energy sources are generated and supplied to hospitals.
Article
Automation & Control Systems
Yang Liu, Jun Zhao, Wei Wang
Summary: In this article, a controlled hierarchical relevance vector machine is proposed for identifying the scheduling events in the by-product gas system of a steel industry. A unified modeling approach is used to consider the multiple time scales and changing operational modes. An extended 2-learning approach with a hierarchical interval type-2 fuzzy system is designed for dynamically choosing the optimal controller's parameter. The performance of the proposed method is experimentally validated.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Thermodynamics
Zherui Ma, Jiangjiang Wang, Fuxiang Dong, Zepeng Han, Lei Tian, Rujing Yan, Zhanwei Liang
Summary: A novel solid-oxide-fuel-cell-based cooling, heating, and power system with integrated chemical looping hydrogen generation is proposed in this study. The system achieves high-efficiency CO2 capture and hydrogen supply to fuel cells, avoiding carbon deposition issues. By incorporating a high-temperature solar heat collector, the system can improve power generation efficiency and energy cascade utilization. The results show significant reductions in energy consumption of CO2 capture and potential improvements in energy and exergy efficiencies by optimizing system parameters such as SOFC operating temperature.
Article
Thermodynamics
Ke Chen, Ming Pan
Summary: This paper introduces a novel superstructure CCHP system and uses deterministic modeling and optimization methods for CCHP operations, which outperforms traditional stochastic algorithms like Genetic Algorithm in adhering to demand constraints. Case studies demonstrate that the superstructure CCHP system achieves greater energy savings in large energy demand scenarios compared to single-structure CCHP systems.
Article
Thermodynamics
Sara Borhani, Alibakhsh Kasaeian, Peyman Pourmoghadam, Mahmoud Omid
Summary: The goal of this research is to study a trigeneration solar system that can meet household energy demands. A reliable network is trained to forecast the system's functionality under different weather conditions, replacing the time-consuming simulation process. The research shows that warm regions like Ahwaz province have the most suitable weather conditions to effectively utilize the system.
APPLIED THERMAL ENGINEERING
(2023)
Article
Energy & Fuels
Bijing Liu
Summary: This paper proposes a comprehensive analysis of CHP-based microgrid (CBM) operation under a multi-objective optimization technique, using renewable-based resources and microgrid system to supply electricity, thermal, and cooling loads. The power-to-gas (PtG) technology is utilized to enhance overall operation and reduce CO2 emission.
JOURNAL OF ENERGY STORAGE
(2023)
Review
Engineering, Electrical & Electronic
Yongtong Li, Liang Gong, Minghai Xu, Yogendra Joshi
Summary: This paper reviews the research progress in thermohydraulic performance characterization of metal foams as heat sinks for electronics cooling, highlighting their capability for heat transfer enhancement and the need for further investigation into fundamental mechanisms to develop more efficient and compact heat sinks.
JOURNAL OF ELECTRONIC PACKAGING
(2021)
Article
Energy & Fuels
Liang Gong, Yuan Zhang, Na Li, Ze-Kai Gu, Bin Ding, Chuan-Yong Zhu
Summary: The study utilized molecular simulations to investigate the displacement characteristics of CH4 by different injection gases in shale reservoirs. Results showed that injection pressure and formation temperature influenced the displacement capacity of CH4 by CO2, while a synergistic effect was observed when CO2 and N-2 were simultaneously injected. This research provides guidance for the displacement exploitation of shale gas using injection gases.
Article
Thermodynamics
Yongtong Li, Liang Gong, Bin Ding, Minghai Xu, Yogendra Joshi
Summary: This paper presents a study on the performance of liquid cooled aluminum foam heat sinks using experimental and numerical methods. It is found that the permeability decreases and inertial coefficient increases with increasing pore density. The AF heat sink demonstrates significantly better thermal performance compared to an empty channel, and the enhancement by 20 PPI foam is negligible. The LTNE model provides more accurate predictions of temperature distributions than the LTE model.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2021)
Article
Engineering, Manufacturing
Zhimin Wang, Guigen Ye, Xinjian Li, Shifeng Xue, Liang Gong
Summary: The study investigates the thermal-mechanical performances of TSV structures in 3D IC devices under thermal cycling loads using finite element models. The influences of TSV structure parameters on maximum thermal stress and electrical resistance are analyzed, with optimized structures showing reductions in stress and resistance.
IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY
(2021)
Article
Thermodynamics
Yifan Zhang, Liang Gong, Tzu-Chen Hung
Summary: The concept of multiple ORCs arrangement resembles playing a jigsaw puzzle, aiming to improve energy utilization by filling the temperature gap. Research shows that the performance improvement depends on the reasonable selection of working fluids and the layout of ORCs.
APPLIED THERMAL ENGINEERING
(2021)
Article
Thermodynamics
Chuan-Yong Zhu, Ze-Kai Gu, Hai-Bo Xu, Bin Ding, Liang Gong, Zeng-Yao Li
Summary: This paper numerically investigates the influences of different parameters on the effective thermal conductivity of fiber-reinforced composites and proposes a correlation for composites with fibers randomly distributed in space. It is found that the most dominant factors affecting effective thermal conductivity are the thermal conductivity of fiber and coating layers.
Article
Thermodynamics
Liang Gong, Yifan Zhang, Zhang Bai
Summary: Geothermal-solar hybrid power generation is a promising technology for renewable energy utilization, aiming to improve energy efficiency and reduce the impact of solar intermittency. A novel hybrid power system with a double-pressure evaporation configuration demonstrates high efficiency and geothermal share under both design and off-design conditions. This research shows the potential of hybrid systems in achieving favorable energy outcomes and reducing solar investment costs.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Nanoscience & Nanotechnology
Chuan-Yong Zhu, Zhi-Yang He, Mu Du, Liang Gong, Xinyu Wang
Summary: The study analyzed the influence of different parameters on the effective thermal conductivity of soils, finding that porosity and water content have a significant impact. While the model with six parameters showed the highest accuracy, the model with only two input parameters (porosity and water content) could still predict the effective thermal conductivity with acceptable accuracy.
Article
Computer Science, Interdisciplinary Applications
Kaituo Jiao, Dongxu Han, Daobing Wang, Yujie Chen, Jingfa Li, Liang Gong, Bofeng Bai, Bo Yu
Summary: Rock damage has a significant influence on the thermal-hydro-mechanical (THM) coupled fracture propagation. A pore-scale THM coupling model is developed to study the synergistic effect of injected temperature difference and rock damage on shale fracture propagation. The model calculates the exchanged THM information and fluid conductivity accurately based on fracture and rock damage. It is found that the generation of branched cracks is closely related to temperature response frontier and the single bond failure increases with higher critical fracture energy (CFE). Hydraulic fracturing is more pronounced in low CFE while thermal fracturing shows the opposite trend. The fluid conductivity of fractured rock increases with higher injected temperature difference, but it weakens when rock damage is significant. Branched cracks propagating to adjacent layers are more difficult to form when the layer has significant rock damage.
COMPUTATIONAL GEOSCIENCES
(2022)
Article
Thermodynamics
Bin Ding, Wen-Chuang Feng, Jian Fang, Shu-Zhe Li, Liang Gong
Summary: This study investigates the quantified contribution of natural convection in phase change material (PCM) heat sinks, and discusses the effects of heat flux and physical parameters on temperature and safe working time. The results show that the cooling performance gradually shifts from heat conduction to natural convection during the temperature fluctuation stage. Natural convection can improve the heat dissipation performance, and correlations are established to predict natural convection under different heat flux conditions.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Thermodynamics
Zhang Dexin, Ding Bin, Zhu Chuanyong, Gong Liang
Summary: A numerical model was established to explore the cooling performance of the outdoor AAU device. The optimization of fin number, height, and other factors effectively reduced the device temperature and improved its cooling performance in outdoor conditions.
JOURNAL OF THERMAL SCIENCE
(2022)
Article
Thermodynamics
Xu Zhang, Zhaoqin Huang, Qinghua Lei, Jun Yao, Liang Gong, Wendong Yang
Summary: The geometry connectivity of fracture networks plays a dominant role in determining the thermal-hydro-mechanical (THM) behavior and thermal performance of Enhanced Geothermal Systems (EGSs). Satisfactory thermal performance can be achieved when the connectivity of fracture systems ranges from 15 to 35. By optimizing the fracture networks and designing appropriate production scenarios, the overall heat extraction performance of EGSs can be significantly improved.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
Yi-Fan Zhang, Ming-Jia Li, Xiao Ren, Xin-Yue Duan, Chia-Jung Wu, Huan Xi, Yong-Qiang Feng, Liang Gong, Tzu-Chen Hung
Summary: This study investigates the performance of ORC systems under different heat sources through experiments and theoretical analysis. It reveals that the heat source and heat sink significantly affect the system performance. Under similar structure and environmental conditions, larger systems perform better when there is sufficient heating supply, emphasizing the importance of coordination between system capacity, heat source, and heat sink.
Article
Multidisciplinary Sciences
Jian Fang, Wen-Chuang Feng, Bin Ding, Chuan-Yong Zhu, Liang Gong
Summary: The study indicates that using PCM heat sink can effectively reduce the risk of thermal shock to electronic devices and ensure safe operation. Experimental results show that by changing heating positions and adding copper foam, the thermal shock resistance of PCM heat sink can be significantly improved. By using copper foam, the temperature gradient inside paraffin can be smoothed, prolonging the protection time of the heat sink.
CHINESE SCIENCE BULLETIN-CHINESE
(2021)
Article
Thermodynamics
Bin Ding, Zhi-Hao Zhang, Liang Gong, Chuan-Yong Zhu, Ming-Hai Xu
Summary: By using a 3D-IC model with a real microprocessor structure under a liquid cooling condition, the study found that adopting a certain arrangement could balance the maximum temperature and pressure drop effectively.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2021)
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.