Article
Thermodynamics
Minghui Ge, Zhenhua Li, Yulong Zhao, Liyao Xie, Shixue Wang
Summary: A thermoelectric generator generates electricity by recovering waste heat from automobile exhaust, utilizing gasification and condensation of the medium to improve power density. The exhaust temperature affects maximum output power, while the optimal module area increases with increasing exhaust flow.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Energy & Fuels
Ding Luo, Yuying Yan, Ying Li, Ruochen Wang, Shan Cheng, Xuelin Yang, Dongxu Ji
Summary: This study proposes a hybrid transient CFD-thermoelectric numerical model to predict the dynamic response characteristics of an automobile thermoelectric generator system. Through transient numerical study, it is found that the dynamic output power changes smoothly while the conversion efficiency fluctuates greatly. The findings contribute to a better understanding of the dynamic response characteristics of the automobile thermoelectric generator system.
Article
Thermodynamics
Yulong Zhao, Yucong Fan, Minghui Ge, Liyao Xie, Zhenhua Li, Xiangyang Yan, Shixue Wang
Summary: This study established a mathematical model of an intermediate-fluid TEG system and analyzed the influences of cooling methods and condensed-boiling heat transfer performance in the cavity on the thermoelectric performance. The results showed that the new generator exhibited better characteristics under both water-cooling and air-cooling methods.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Thermodynamics
Bin Huang, Zu-Guo Shen
Summary: In this study, annular thermoelectric generators (ATEGs) that match the geometric shape of automobile exhaust pipes were proposed to recover waste heat from automobiles. A theoretical model was constructed to assess the performance of automotive exhaust ATEGs (AEATEGs) and compared to commonly used automotive exhaust flat-plate thermoelectric generators (AEFTEGs). The results showed that AEATEGs outperformed AEFTEGs in terms of performance.
Article
Energy & Fuels
Yulong Zhao, Mingjie Lu, Like Yue, Liyao Xie, Minghui Ge
Summary: This study proposes the addition of porous plates in vehicle exhaust to improve the thermoelectric conversion efficiency of waste heat. A coupled heat-electric-flow model is constructed and simulation results show that the addition of porous plates has a significant impact on the overall temperature of the exhaust channel. An optimal insertion position exists for maximum power generation.
Article
Thermodynamics
Zu-Guo Shen, Bin Huang, Xun Liu
Summary: This study examines the impact of five structural parameters on the power and net power density of automotive exhaust annular thermoelectric generators using a theoretical model and finite element method, and provides design recommendations based on the findings.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Thermodynamics
Rui Quan, Wenlong Liang, Shulang Quan, Zikang Huang, Zhizheng Liu, Yufang Chang, Baohua Tan
Summary: The structure optimization of heat exchanger can enhance the output performance of a thermoelectric generator (TEG) used for automobile exhaust recovery. However, connecting the heat exchanger to the internal combustion engine (ICE) may lead to increased backpressure and deteriorative performance. This study sets up and validates a comprehensive numerical model to assess the performance interaction between automobile exhaust thermoelectric generator (AETEG) and ICE with different heat exchangers. The results show that the operating condition and inner topology of ICE have obvious influences on the backpressure of the heat exchanger, with the chaos shape heat exchanger having the largest backpressure. The increased backpressure affects various parameters of ICE and AETEG, such as pumping mean effective pressure (PMEP), hot side temperature, output power, brake power, brake torque, volumetric efficiency, fuel economy, and emissions. The findings provide valuable insights for the development, topology optimization, and performance assessment of a low-backpressure AETEG without significantly impacting the ICE performance.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
Ding Luo, Ye Zhao, Yuying Yan, Hao Chen, Wei-Hsin Chen, Ruochen Wang, Ying Li, Xuelin Yang
Summary: In this study, two transient models, a transient fluid-thermal-electric multiphysics numerical model and a hybrid transient CFD-analytical model, are proposed to predict the dynamic performance of automobile thermoelectric generator systems. The models consider the heat source fluctuation, temperature dependence of thermoelectric materials, and the coupling of different physical fields. The results show that the dynamic output power is mainly related to the exhaust temperature due to thermal inertia, while the dynamic conversion efficiency is mainly related to the exhaust mass flow rate. The hybrid model overestimates the output performance, particularly the conversion efficiency, with average errors of 2.90% and 13.58% for output power and conversion efficiency, respectively, compared to the numerical model. The transient models predict lower output performance compared to steady-state analysis, and the models are experimentally verified. This work fills a gap in theoretical models for predicting the dynamic response characteristics of automobile thermoelectric generator systems.
APPLIED THERMAL ENGINEERING
(2023)
Article
Engineering, Chemical
Fei Li, Peng Sun, Jianlin Wu, Yin Zhang, Jiehua Wu, Guoqiang Liu, Haoyang Hu, Jun Hu, Xiaojian Tan, Shi He, Jun Jiang
Summary: This study uses a genetic algorithm to optimize a back propagation neural network for improved prediction accuracy in thermoelectric generator (TEG) performance. Experimental data sets are used to train the GA-BP model and avoid deviations caused by simulation software. The results show that the GA-BP model has higher prediction accuracy compared to the BP model.
Article
Engineering, Chemical
Wei Zhang, Wenjie Li, Shuqian Li, Liyao Xie, Minghui Ge, Yulong Zhao
Summary: The intermediate fluid thermoelectric generator (IFTEG) is a novel power generation method based on gravity heat pipe technology, offering high-power output and a compact module area. However, the variable exhaust parameters in automobile operation pose a challenge to the design process. This study presents a mathematical model to optimize the IFTEG design and establishes the relationship between the optimal module area, exhaust heat exchanger area, and exhaust flow rate. The concept of peak power deviation is introduced to address the challenge of determining the optimal module area.
Review
Thermodynamics
Nicolae Vlad Burnete, Florin Mariasiu, Christopher Depcik, Istvan Barabas, Dan Moldovanu
Summary: With the growing emphasis on electrified vehicles, the use of internal combustion engines (ICEs) as the primary propulsion source is being challenged, necessitating improvements in efficiency and emissions. Recovering waste heat from the ICE can enhance overall thermal efficiency, and thermoelectric generators offer advantages such as environmental friendliness, reliability, and direct conversion of thermal energy into electrical energy. This study provides a comprehensive overview of the use of thermoelectric generators for waste heat recovery in ICEs, presenting experimental and simulation results on power output, efficiency gains, and fuel consumption reduction. It also summarizes the design considerations for the hot side heat exchanger.
PROGRESS IN ENERGY AND COMBUSTION SCIENCE
(2022)
Article
Energy & Fuels
Rui Quan, Yousheng Yue, Zikang Huang, Yufang Chang, Yadong Deng
Summary: This study investigates the effects of adding fins to the heat exchanger of an automobile exhaust thermoelectric generator (AETEG) on the generated power. While fins increase the temperature difference of thermoelectric modules (TEMs) and enhance the power output, they also result in undesired backpressure that affects the performance of the internal combustion engine (ICE). Experimental results show that a heat exchanger with a chaos-shaped structure has a larger pressure drop compared to one with a fishbone-shaped structure, leading to increased power output and temperature of the AETEG.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
(2022)
Article
Thermodynamics
Ding Luo, Zeyu Sun, Ruochen Wang
Summary: A novel fluid-thermal-electric multiphysics numerical model is proposed in this paper to predict the performance of a thermoelectric generator system for automobile waste heat recovery. The study reveals that the position of thermoelectric modules on the hot side heat exchanger plays a crucial role in output uniformity, and output becomes more uniform as vehicle speed increases.
Article
Energy & Fuels
Yulong Zhao, Mingjie Lu, Yanzhe Li, Minghui Ge, Liyao Xie, Liansheng Liu
Summary: The article introduces a new design of thermoelectric generator, which improves overall thermoelectric performance by enhancing heat transfer in the exhaust channel. The research finds that the net output power of the new generator can be significantly increased, while the number of modules can be greatly reduced.
Article
Materials Science, Multidisciplinary
W. Sun, R. Sui, G. Yuan, H. Zheng, Z. Zeng, P. Xie, Le Yuan, Z. Ren, F. Cai, Q. Zhang
Summary: In a traditional thermoelectric is-type module, severe thermal stress reduces lifespan, but a new design can reduce stress, enhance lifespan by 68%, and also improve output performance.
MATERIALS TODAY PHYSICS
(2021)
Article
Thermodynamics
Wei He, Shixue Wang, Yulong Zhao, Yanzhe Li
ENERGY CONVERSION AND MANAGEMENT
(2016)
Article
Thermodynamics
Wei He, Shixue Wang, Yanzhe Li, Yulong Zhao
ENERGY CONVERSION AND MANAGEMENT
(2016)
Article
Thermodynamics
Minghui Ge, Shixue Wang, Jun Zhao, Yulong Zhao, Liansheng Liu
EXPERIMENTAL THERMAL AND FLUID SCIENCE
(2016)
Article
Thermodynamics
Yulong Zhao, Shixue Wang, Minghui Ge, Yanzhe Li, Zhaojun Liang
ENERGY CONVERSION AND MANAGEMENT
(2017)
Article
Thermodynamics
Yulong Zhao, Shixue Wang, Minghui Ge, Yanzhe Li, Yurong Yang
ENERGY CONVERSION AND MANAGEMENT
(2018)
Article
Thermodynamics
Yulong Zhao, Shixue Wang, Minghui Ge, Zhaojun Liang, Yifan Liang, Yanzhe Li
ENERGY CONVERSION AND MANAGEMENT
(2018)
Article
Thermodynamics
Minghui Ge, Shixue Wang, Jun Zhao, Yulong Zhao, Liansheng Liu
EXPERIMENTAL THERMAL AND FLUID SCIENCE
(2018)
Article
Thermodynamics
Yanzhe Li, Shixue Wang, Yulong Zhao
EXPERIMENTAL THERMAL AND FLUID SCIENCE
(2018)
Article
Energy & Fuels
Aibin Yan, Jun Zhao, Qingsong An, Yulong Zhao, Hailong Li, Yrjo Jun Huang
Article
Energy & Fuels
Yulong Zhao, Shixue Wang, Minghui Ge, Yanzhe Li, Zhaojun Liang, Yurong Yang
Article
Thermodynamics
Yulong Zhao, Like Yue, Shixue Wang, Linjun Li, Fei Wang
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2018)
Article
Thermodynamics
Minghui Ge, Zixuan Wang, Liansheng Liu, Jun Zhao, Yulong Zhao
ENERGY CONVERSION AND MANAGEMENT
(2018)
Article
Thermodynamics
Minghui Ge, Xiaowei Wang, Yulong Zhao, Shixue Wang, Liansheng Liu
ENERGY CONVERSION AND MANAGEMENT
(2019)
Article
Energy & Fuels
Yanzhe Li, Shixue Wang, Yulong Zhao, Chi Lu
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.
