Article
Economics
Waqar Ahmed Khan, Hoi-Lam Ma, Xu Ouyang, Daniel Y. Mo
Summary: The proposed CovB-ELM method aims to predict aircraft trajectories and estimate fuel consumption by maximizing the covariance between hidden unit and network errors. This approach improves convergence and accuracy by partially updating randomly generated hidden unit parameters. Experimental results show that CovB-ELM outperforms existing methods in terms of generalization performance.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Environmental Sciences
Gavaskar Thodda, Arun Kathapillai, Venkata Ramanan Madhavan, Murugapoopathi Saravanamuthu
Summary: The predicted scarcity, increasing cost of petroleum fuels, and environmental degradation are driving researchers to find alternative fuels. This study investigated the use of a dual-fuel system (acetylene gas and diesel) in a compression ignition engine to reduce emissions and improve fuel efficiency. The results showed that a gas rate of 6 lpm provided the best fuel consumption efficiency of 30.7%.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Binbin Wang, Chuanlei Yang, Hechun Wang, Deng Hu, Baoyin Duan, Yinyan Wang
Summary: This study aimed to investigate the injection strategy of ammonia/hydrogen dual fuel engine, optimize the engine performance, and find the optimal combination of compression ratio and injection timing. The results showed that delaying the injection timing could reduce power performance but improve NOx emissions, while increasing the compression ratio greatly improved power performance but slightly increased emissions. Under certain combinations, the NOx emissions could meet Tier II or Tier III emission standards.
Article
Green & Sustainable Science & Technology
Wanchen Sun, Mengqi Jiang, Liang Guo, Hao Zhang, Zhiqin Jia, Zhenshan Qin, Wenpeng Zeng, Shaodian Lin, Genan Zhu, Shenyue Ji, Yimo Zhu
Summary: This study explores the application potential of renewable methanol and direct dual fuel stratification (DDFS) technology in marine internal combustion engines. By optimizing the fuel injection strategy for a marine methanol/diesel DDFS engine, it is found that the fuel mixing process plays a crucial role in the combustion state switching. A strategy with earlier start of diesel injection (SOID) compared to the start of methanol injection (SOIM) and an appropriately extended injection interval achieves better engine performance. Furthermore, the optimized methanol two-stage injection strategy improves fuel economy while causing a decrease in combustion completeness and increase in emissions.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Chemistry, Physical
Mukund Kumar, Subrata Bhowmik, Abhishek Paul
Summary: This study highlights the impact of fuel injection pressure and timing on the performance, combustion, and emission of a hydrogen dual fuel engine using Jatropha biodiesel as pilot fuel. Higher fuel injection pressure and timing improve engine efficiency and combustion, while reducing unburned hydrocarbon and soot emissions. However, nitrogen oxide emissions increase.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Chemistry, Multidisciplinary
Farhad Salek, Meisam Babaie, Amin Shakeri, Seyed Vahid Hosseini, Timothy Bodisco, Ali Zare
Summary: The study found that ammonia port injection significantly reduces NOx emissions, but has negative impacts on engine efficiency, CO, and HC emissions. It also decreases the minimum octane number required to prevent knock when added to the fuel mixture.
APPLIED SCIENCES-BASEL
(2021)
Article
Automation & Control Systems
Kuo Yang, Pingen Chen
Summary: Model-based TWC controls, including dither control and MPC control, proposed in this paper effectively reduce fuel consumption and tailpipe emissions of gasoline engines while maintaining compliance with emission requirements. The efficacy of the controls is validated in simulation, with MPC control improving CO emission conversion efficiencies and maintaining NOx emission conversion efficiency above the required limit.
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
(2021)
Article
Energy & Fuels
Gu Xin, Changwei Ji, Shuofeng Wang, Chen Hong, Hao Meng, Jinxin Yang, Fangxu Su
Summary: The study shows that hybrid technology and zero-carbon fuels are effective in improving energy efficiency and reducing carbon emissions. The Miller cycle spark ignition engine was used in this study to experiment with four load control strategies - throttle, ammonia-hydrogen ratio, air-fuel ratio, and variable valve timing - for the ammonia-hydrogen engine. The results indicate that the throttle strategy provides the widest output range, the ammonia-hydrogen mixing ratio strategy is suitable for cold start conditions, the air-fuel ratio strategy provides the highest thermal efficiency, and the variable valve timing strategy allows for switching between different BMEP levels while maintaining high thermal efficiency. Finally, the study suggests different control strategies for different operating modes in the hybrid system.
Article
Computer Science, Information Systems
Kangkang Xu, Xi Tan, Bi Fan, Tengfei Xiao, Xi Jin, Chengjiu Zhu
Summary: This paper proposes an online spatiotemporal modeling method based on dual extreme learning machine with adaptive forgetting factor, which can effectively track time-varying dynamics in real time and improve online learning effects.
Article
Energy & Fuels
Changming Gong, Jiawei Yu, Fenghua Liu
Summary: This study experimentally investigated the combined impact of excess air ratio (lambda) and injection strategy on the performance of a spark-ignition port-plus direct-injection (PI + DI) dual-injection gasoline engine at half load. The experimental results showed that brake mean effective pressure decreased with increasing lambda, while brake thermal efficiency initially increased and then decreased with increasing lambda. The lambda also had significant effects on various emissions such as carbon monoxide, hydrocarbon, nitrogen oxides, and soot.
Article
Thermodynamics
Zhiyong Li, Yang Wang, Zibin Yin, Heming Geng, Rui Zhu, Xudong Zhen
Summary: This study investigates three injection strategies of methanol direct-injection method and compares the optimal settings at low load and high load. The results show differences in fuel economy and knock intensity among different injection strategies. Ultimately, M/D/M mode is found to be the best injection strategy at low load and high load.
APPLIED THERMAL ENGINEERING
(2021)
Article
Thermodynamics
Haowen Hu, Kai Ou, Wei-Wei Yuan
Summary: A fused multi-model predictive control (FM-MPC) with adaptive compensation is proposed for regulating the oxygen excess ratio (OER) in air supply systems. The FM-MPC is designed based on a linearized PEMFC model and combines two linear MPCs with adaptive featured weights. An adaptive compensation strategy is used to address imbalances and external load disturbances. Simulation results show that the proposed method outperforms conventional MPCs with reduced OER total sum-of-squares error (TSSE) by 59.4% and 87.7% for NEDC and UDDS conditions respectively. HIL experiments verify the real-time application potential with a mean relative error (MRE) of 1.12%.
Article
Computer Science, Artificial Intelligence
Haifeng Se, Kai Song, Hui Liu, Weiyan Zhang, Xuanhe Wang, Jijiang Liu
Summary: This study proposes a novel drift compensation framework for gas sensors, which combines cross-domain subspace learning with balanced distribution and cross-domain adaptive extreme learning machine (CSBD-CAELM). It achieves a dual drift compensation effect at the feature level and classifier level, reducing the labelling cost effectively.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Thermodynamics
Siqi Wang, Cheng Tung Chong, Tian Xie, Viktor Jozsa, Jo-Han Ng
Summary: The co-firing of ammonia with hydrocarbon fuel is a promising way to reduce carbon dioxide emissions. However, the conventional way of co-firing results in high NOx pollutant emissions, requiring an innovative mitigation strategy. This study examines the combustion characteristics and emissions performance of a partially-mix ammonia-methane dual flame, which shows reduced NO and CO emissions compared to the fully premixed flame.
Article
Energy & Fuels
Muhammad Arslan, Iftikhar Ahmad, Muhammad Kashif Azeem, Muwahida Liaquat
Summary: ATSMC is proposed for the control of HESS, ensuring rapid tracking of current references and regulation of DC-bus voltage for efficiency. Nonlinear stability analysis and simulations in MATLAB/SIMULINK demonstrate improved performance, with hardware-in-loop testing confirming real-time implementation.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Automation & Control Systems
Pak Kin Wong, Jiang Sai Biao
Summary: This article proposes a novel fault diagnosis framework that accurately diagnoses faults in induction motors under untrained loads through a training framework and an adaptation framework. By training the system with rated load data and using an adaptation framework, the system can adapt to the diagnostic needs of different loads.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Computer Science, Artificial Intelligence
Suhang Gu, Chi Man Vong, Pak Kin Wong, Shitong Wang
Summary: This article introduces a fast training algorithm FTA to improve the training speed and generalization capability of the deep fuzzy classifier DSA-FC on large-scale datasets. FTA downsizes fuzzy rules through gradient guided learning and trains the subclassifiers quickly at each layer.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Engineering, Mechanical
Di Ao, Pak Kin Wong, Wei Huang
Summary: A novel hierarchical direct yaw moment controller is developed to enhance lateral stability of four-wheel-drive electric vehicles. An upper-layer adaptive sliding mode control (ASMC) technique is employed to compute an additional yaw moment, which is distributed to each wheel using model predictive control allocation (MPCA) in the lower-layer controller. Co-simulation and hardware-in-the-loop (HIL) tests verify the superior performance of the proposed hierarchical ASMC-MPCA controller over sliding mode control MPCA (SMC-MPCA) and integrated nonlinear model predictive control (NMPC). The ASMC-MPCA controller also consumes less computational resources and effectively suppresses chattering phenomenon.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2023)
Article
Automation & Control Systems
Xiaolong Cui, Yifan Wu, Xiaoyuan Zhang, Jie Huang, Pak Kin Wong, Chaoshun Li
Summary: In this article, a new framework of fault diagnosis for the rotor with multiple bearings is proposed. By using multivariate complex variational mode decomposition (MCVMD) to decompose the complex-valued signals of multiple bearings, multiple orbit features are derived to construct fusion feature images. The deep convolutional network based on transfer learning is utilized for the fault diagnosis, and the experimental results demonstrate its superiority over existing approaches.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Engineering, Mechanical
Jing Zhao, Yajuan Zhu, Pak Kin Wong, Wenfeng Li, Zhixin Yang, Panshuo Li, Chonghui Song
Summary: This paper investigates the non-fragile output feedback control problem of the uncertain vehicle active suspension with stochastic network-induced delay. A novel output feedback method is proposed by employing a variable substitution approach, taking gain perturbations into account. The complexity of signal transmission delay in network control process is represented using a more generalized lumped delay form, and a Markovian process is introduced to describe the stochasticity of lumped delay. Numerical simulations and experimental tests are carried out to examine the effectiveness and practicability of the proposed controller.
NONLINEAR DYNAMICS
(2023)
Article
Engineering, Mechanical
Pak Kin Wong, Mengqi Deng, Jing Zhao, Meisam Ahmadi Ghadikolaei, Hang Wang
Summary: This study designs a damping force controller to improve the vehicle ride comfort, road holding, and stability, as well as handle unknown air spring pressure effectively. An improved skyhook suspension reference model is developed to generate desired dynamic criteria, and a novel damping force controller based on backstepping technique is proposed. A parameter estimation method is also designed to estimate the air spring pressure for obtaining the air spring force. Numerical results show that the semi-active air suspension system based on the proposed model reference backstepping controller significantly improves ride comfort compared to passive suspension systems and existing sliding mode control.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2023)
Article
Automation & Control Systems
Zhongchao Liang, Zhongnan Wang, Jing Zhao, Pak Kin Wong, Zhixin Yang, Zhengtao Ding
Summary: With the consideration of actuator faults, this article proposes a fixed-time control protocol for autonomous ground vehicles (AGVs) to follow reference paths and velocities with preset performance constraints. The proposed protocol, based on homeomorphic mapping and barrier Lyapunov theorem, integrates fault-tolerant scheme for the controlled AGV. Hardware-in-the-loop (HIL) test results show that the proposed control protocol always provides superior control performance for the AGV.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Xiaoqiang Sun, Yulin Wang, Yingfeng Cai, Pak Kin Wong, Long Chen, Shaoyi Bei
Summary: This article presents a precise, robust, and efficient DYC architecture for FWIA autonomous vehicles using the NTSM control method. It starts by establishing an accurate vehicle lateral dynamics model considering tire nonlinear mechanics. Then, it analyzes the vehicle lateral stability using the phase plane theory and calculates the optimal external yaw moments using the NTSM control algorithm. The proposed controller effectively improves the lateral stability of FWIA autonomous vehicles, eliminates steady errors, and achieves path tracking under extreme conditions.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Engineering, Electrical & Electronic
Jing Zhao, Kaiheng Yang, Yucong Cao, Zhongchao Liang, Wenfeng Li, Zhengchao Xie, Pak Kin Wong
Summary: This article proposes an observer-based discrete-time cascaded control (ODCC) strategy for lateral stabilization of Steer-by-Wire (SbW) vehicles with consideration of uncertainties and disturbances. The strategy includes an information fusion-based unscented Kalman filter (IFUKF) for observation, a discrete-time sliding mode predictive control (DSMPC) for eliminating control variables errors, and a combination of discrete-time fast terminal sliding mode and active disturbance rejection control for reducing tracking errors. Performance evaluations are conducted to examine the availability and practicability of the ODCC strategy.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Computer Science, Artificial Intelligence
Jing Zhao, Jincan Liu, Pak Kin Wong, Zhongchao Liang, Zhengchao Xie, Jing Na
Summary: This article proposes a generalized fuzzy subset (GFS) method to assess the time-varying multistate reliability. The method integrates all possible perturbations as inputs and constructs a GFS reliability model based on the composite limit state. The concept of uncertain subset boundary is introduced to conduct the reliability assessment using embedded interval type-2 fuzzy sets. A data-driven strategy is designed to address the deficiency of the GFS reliability model.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Zhongchao Liang, Zhongnan Wang, Jing Zhao, Pak Kin Wong, Zhixin Yang, Zhengtao Ding
Summary: This article investigates the fixed-time path-following control problem for autonomous ground vehicles (AGVs) with completely unknown parameters and preset error constraints. A fixed-time prescribed performance control (PPC) protocol is proposed to ensure the evolution of the selected nonsingular sliding manifold within the preset boundaries before converging the path-following errors. By satisfying the parameter inequality, the fixed-time PPC target for the preview error of the AGV can be achieved. Furthermore, the designed adaptive laws guarantee control accuracy without knowledge of vehicle parameters. Hardware-in-the-loop tests demonstrate the superior comprehensive path-following performance of the proposed fixed-time PPC protocol for the AGV compared to the conventional fixed-time controller, with no violation of the prescribed performance constraints on the preview error.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Multidisciplinary
Xiangqu Xiao, Chaoshun Li, Jie Huang, Tian Yu, Pak Kin Wong
Summary: Rolling bearings are essential for rotating equipment, but they are prone to failure due to their operating environment. This paper proposes an improved graph convolutional network (GCN) for limited labeled data in bearing fault diagnosis. The method simplifies the generated weighted graph-structured data by defining edge failure thresholds, thereby improving data quality and reducing training computation costs. The improved GCN effectively aggregates data features of different receptive field sizes without significantly increasing computational complexity. Experiments demonstrate the superiority and robustness of the proposed method on public datasets and an actual experimental platform.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2023)
Article
Biotechnology & Applied Microbiology
Tao Yan, Ye Ying Qin, Pak Kin Wong, Hao Ren, Chi Hong Wong, Liang Yao, Ying Hu, Cheok Chan, Shan Gao, Pui Pun Chan
Summary: Convolutional neural networks (CNNs) are increasingly being used in endoscopic images due to their advantages. This study focuses on semantic segmentation of gastric polyps using CNN. Seven different CNN models are constructed and evaluated, with UNet++ achieving the best results and being selected for an automated polyp-segmentation system. The study highlights the clinical value of semantic segmentation models in diagnosing gastric polyps and proposes an integrated evaluation approach for selecting models.
BIOENGINEERING-BASEL
(2023)
Article
Automation & Control Systems
Liang Yao, Baoliang Zhao, Xin Xu, Ziwen Wang, Pak Kin Wong, Ying Hu
Summary: Offline reinforcement learning (ORL) has gained attention in robot learning due to its ability to learn policies directly from precollected samples. This article proposes a novel incremental ORL approach called sparse broad critic approximation (BORL) that combines the advantages of broad learning system (BLS) and API methods. Simulation studies demonstrate that BORL achieves comparable or better performance than conventional methods without hyperparameter fine-tuning.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Zhijiang Gao, Pak Kin Wong, Jing Zhao, Zhixin Yang, Yingbo Huang, Jing Na
Summary: This article addresses the optimal control problem for magnetorheological fluid-based semiactive suspension systems with input saturation and time-varying delay. A robust switched H∞ method based on the Takagi-Sugeno fuzzy theory is proposed to handle this problem. A novel hybrid model incorporating the fluid flow mechanism and hysteresis phenomenon model is used to separate the passive and active components of the MRF damper. Linear matrix inequality conditions are derived to capture the features of input saturation and time-varying delay, and a Lyapunov-Krasovskii function is employed to ensure stability. Numerical examples demonstrate the effectiveness of the proposed method in dealing with the MRF-SAS system with input saturation and time-varying delay.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Thermodynamics
Pengcheng Zhao, Jingang Wang, Liming Sun, Yun Li, Haiting Xia, Wei He
Summary: The production of green hydrogen through water electrolysis is crucial for renewable energy utilization and decarbonization. This research explores the optimal electrode configuration and system design of compactly-assembled industrial electrolyzer. The findings provide valuable insights for industrial application of water electrolysis equipment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
V. Baiju, P. Abhishek, S. Harikrishnan
Summary: Thermally driven adsorption desalination systems (ADS) have gained attention as an eco-friendly solution for water scarcity. However, they face challenges related to low water productivity and scalability. To overcome these challenges, integrating ADS with other desalination technologies can create a small-scale hybrid system. This study proposes integrating ADS with a Thermo Electric Dehumidification (TED) unit to enhance its performance.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
C. X. He, Y. H. Liu, X. Y. Huang, S. B. Wan, Q. Chen, J. Sun, T. S. Zhao
Summary: A decentralized centroid multi-path RC network model is constructed to improve the temperature prediction accuracy compared to traditional RC models. By incorporating multiple heat flow paths and decentralizing thermal capacity, a more accurate prediction is achieved.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chaoying Li, Meng Wang, Nana Li, Di Gu, Chao Yan, Dandan Yuan, Hong Jiang, Baohui Wang, Xirui Wang
Summary: There is an urgent need to shift away from heavy dependence on fossil fuels and embrace renewable energy sources, particularly in the energy-intensive oil refining process. This study presents an innovative concept called the Solar Oil Refinery, which applies solar energy in oil refining. A solar multi-energies-driven hybrid chemical oil refining system that utilizes solar pyrolysis and electrolysis has been developed, significantly improving solar utilization efficiency, cracking rate, and hydrogen yield.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chao Ma, Guanghui Wang, Dingbiao Wang, Xu Peng, Yushen Yang, Xinxin Liu, Chongrui Yang, Jiaheng Chen
Summary: This study proposes a bio-inspired fish-tail wind rotor to improve the wind power efficiency of the traditional Savonius rotor. Through transient simulations and orthogonal experiments, the key factors affecting the performance are identified. A response surface model is constructed to optimize the power coefficient, resulting in an improvement of 9.4% and 6.6% compared to the Savonius rotor.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sina Bahmanziari, Abbas-Ali Zamani
Summary: This paper proposes a new framework for improving electrical energy harvesting from piezoelectric smart tiles through a combination of magnetic plucking, mechanical impact, and mechanical vibration force mechanisms. Experimental results demonstrate a significant increase in energy yield and average energy harvesting time compared to other mechanisms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Nanjiang Dong, Tao Zhang, Rui Wang
Summary: This study establishes a multiobjective mixed-variable configuration optimization model for a comprehensive combined cooling, heating, and power energy system, and proposes an efficient generating operator to optimize this model. The experimental results show that the proposed algorithm performs better than other state-of-the-art algorithms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Ahmed E. Mansy, Eman A. El Desouky, Tarek H. Taha, M. A. Abu-Saied, Hamada El-Gendi, Ranya A. Amer, Zhen-Yu Tian
Summary: This study aims to convert office paper waste into bioethanol through a sustainable pathway. The results show that physiochemical and enzymatic hydrolysis of the waste can yield a high glucose concentration. The optimal conditions were determined using the Box-Behnken design, and a blended membrane was used for ethanol purification.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sven Klute, Marcus Budt, Mathias van Beek, Christian Doetsch
Summary: Heat pumps are crucial for decarbonizing heat supply, and steam generating heat pumps have the potential to decarbonize the industrial sector. This paper presents the current state, technical and economic data, and modeling principles of steam generating heat pumps.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Le Zhang, To-Hung Tsui, Yen Wah Tong, Pruk Aggarangsi, Ronghou Liu
Summary: This study investigates the effectiveness of a current-carrying-coil-based magnetic field in promoting anaerobic digestion of chicken manure. The results show that the applied magnetic field increases methane yield, decreases carbon dioxide production, and reduces the concentration of ammonia nitrogen. Microbial community analysis reveals the enrichment of certain methanogenic genera and enhanced metabolic pathways. Pilot-scale experiments confirm the technical effectiveness of the magnetic field assistance in enhancing anaerobic digestion of chicken manure.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Bo Chen, Ruiqing Ma, Yang Zhou, Rui Ma, Wentao Jiang, Fan Yang
Summary: This paper presents an advanced energy management strategy for fuel cell hybrid electric heavy-duty vehicles, focusing on speed planning and energy allocation. By utilizing predictive co-optimization control, this strategy ensures safe inter-vehicle distance and minimizes energy demand. Simulation results demonstrate the effectiveness of the proposed method in reducing fuel cell degradation cost and overall operation cost.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Fabio Fatigati, Roberto Cipollone
Summary: Organic Rankine Cycle-based microcogeneration systems that use solar sources to generate electricity and hot water can help reduce CO2 emissions in residential energy-intensive sectors. The adoption of a recuperative heat exchanger in these systems improves efficiency, reduces thermal power requirements, and saves on electricity costs.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Lipeng He, Renwen Liu, Xuejin Liu, Xiaotian Zheng, Limin Zhang, Jieqiong Lin
Summary: This research proposes a piezoelectric-electromagnetic hybrid energy harvester (PEHEH) for low-frequency wave motion and self-sensing wave environment monitoring. The PEHEH shows promising power output and the ability to self-power and self-sense the wave environment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Shangling Chu, Yang Liu, Zipeng Xu, Heng Zhang, Haiping Chen, Dan Gao
Summary: This paper studies a distributed energy system integrated with solar and natural gas, analyzes the impact of different parameters on its energy utilization and emissions reduction, and obtains the optimal solution through an optimization algorithm. The results show that compared to traditional separation production systems, this integrated system achieves higher energy utilization and greater reduction in carbon emissions.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Qingpu Li, Yaqi Ding, Guangming Chen, Yongmei Xuan, Neng Gao, Nian Li, Xinyue Hao
Summary: This paper proposes and studies a piston-type thermally-driven pump with a structure similar to a linear compressor, aiming to eliminate the high-quality energy consumption of existing pumps and replace mechanical pumps. The coupling mechanism of working fluid flow and element dimension is analyzed based on force analysis, and experimental data analysis is used to determine the pump operation stroke. Theoretical simulation is conducted to analyze the correlation mechanism of the piston assembly. The research shows that the thermally-driven pump can greatly reduce power consumption and has potential for industrial applications.
ENERGY CONVERSION AND MANAGEMENT
(2024)
