Article
Green & Sustainable Science & Technology
Diogo do Carmo Zidan, Cristiana Brasil Maia, Mohammad Reza Safaei
Summary: Numerical simulations were conducted to predict the performance of PTC systems operating with eight different nanofluid compositions. The model also estimated daily incident solar radiation, beneficial energy gain, overall efficiency, thermal losses, and system pressure drop.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Review
Green & Sustainable Science & Technology
Alibakhsh Kasaeian, Koosha Mirjavadi, Peyman Pourmoghadam, Faezeh Asgari Sima, Yasaman Amirhaeri, Sara Borhani, Leila Fereidooni
Summary: This paper provides a detailed review of the literature on parabolic trough collectors (PTC) combined with organic Rankine cycles (ORC). It examines various aspects such as modeling and simulation, optimization, exergy, economics, and experimental studies. The review also highlights the impact of different parameters on the performance of the proposed systems.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Green & Sustainable Science & Technology
Oguz Arslan, Damla Kilic
Summary: This study investigated the Organic Rankine Cycle driven by parabolic trough collectors, evaluating six environmentally friendly refrigerants and conducting a dynamic energy and exergy analysis. The system was designed with a combination of solar field, thermal energy storage subsystem, and power block, optimized for 24 hours of operation without external energy sources. The best design was found to be the conventional cycle with a net present value of 9.012 million US$. The system showed reduced emissions of CO2, SO2, and NOx.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Chemistry, Physical
H. Derbal-Mokrane, F. Amrouche, M. N. Omari, I. Yahmi
Summary: This study investigates small-scale electrolytic hydrogen production using an Organic Rankine Cycle driven by a parabolic trough collector in the Algerian Sahara climate. The city of Ghardaia is identified as the most favorable location for implementing the proposed system, with benzene as the optimal working fluid for achieving the highest hydrogen production rate in July.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Energy & Fuels
T. Sathish, C. Sailaja, R. Saravanan, Pelluru Suresh, M. Anish, M. Rajasimman, Usha Sambath, N. Sabarirajan, K. Muthukumar, Sang-Woo Joo, Yasser Vasseghian
Summary: Sustainable energy development is a globally important research area that requires effective design processes and sustainable energy sources. A study conducted experiments using a solar heating system with two-parabolic trough collectors (PTC) to operate a Rankine cycle-based fuel cell for hydrogen production. The results showed that by optimizing the heat transfer rate and using a flow rate of 0.38 kg/s for the heat transfer fluid (HTF), the system achieved a thermal efficiency of 82% and a heat gain of 27589 kW. Increasing the flow velocity of the HTF improved both the solar collector's efficiency and the electrical energy output for the fuel cell, resulting in higher hydrogen production rates. The study also conducted a preliminary cost analysis using the solar advisor model (SAM) to determine the electric cost of the integrated system.
Article
Thermodynamics
Bahram Ghorbani, Armin Ebrahimi, Fatemeh Skandarzadeh, Masoud Ziabasharhagh
Summary: A hybrid system for LNG production, power generation, and NGL recovery was developed and analyzed in this paper. The system demonstrates high efficiency and low energy consumption, with adaptability to changes in natural gas composition.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Energy & Fuels
Peyman Pourmoghadam, Mehdi Mehrpooya
Summary: This study investigates the use of TCES system with calcium hydroxide as the material and a steam Rankine power cycle for power production in a parabolic dish solar power plant. It shows that controlling the steam turbine's inlet pressure can improve the system's performance by reducing energy losses and increasing the solar fraction. Additionally, economic analysis reveals that Yazd has the best economic results with a shorter payback period and lower LCOE compared to other cities.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Multidisciplinary Sciences
Mohamed Mahran Kasem
Summary: This study presents a novel multi-objective optimization model for the design optimization of PTCs, with thermal and exergetic efficiencies being the primary performance indicators. The optimization model effectively maximizes both thermal and exergetic efficiencies, with water and helium achieving the highest optimal values, respectively.
SCIENTIFIC REPORTS
(2022)
Article
Green & Sustainable Science & Technology
Pammi Raj Gupta, Arun Kumar Tiwari, Zafar Said
Summary: The solar Organic Rankine Cycle system is a reliable renewable energy technology that can generate various useful energy outputs by combining it with poly-generation units, including electricity, heating, cooling, drying, desalination, and hydrogen. This review study mainly focuses on the cogeneration, trigeneration, and poly-generation applications of the solar Organic Rankine Cycle.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Mehdi Mehrpooya, Bahram Ghorbani, Mohammadmahdi Khodaverdi
Summary: A novel integrated system for renewable energy production of hydrogen, power, and hot water from solar thermal energy has been developed, and its thermodynamic performance has been evaluated. The system demonstrates high energy efficiency and conversion efficiency.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Jun Fen Li, Hang Guo, Yu Ting Wu, Biao Lei, Fang Ye, Chong Fang Ma, Yu Zhang, Xin Liang Jiao
Summary: The study investigates the solar organic Rankine cycle using nitrate salt as heat transfer and storage fluid, highlighting operational issues and phenomena. Results show that using molten salt can stabilize temperature fluctuations and improve ORC system efficiency. Moreover, the research provides insights for future development in concentrated solar power generation systems.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Thermodynamics
Santosh Kumar Singh, Arun Kumar Tiwari, H. K. Paliwal
Summary: This study presents a solar powered hybrid power system using MXene-based nanofluid, which shows improved work utilization and energy efficiency. Although the overall cost is slightly higher compared to the Syltherm 800-based system, the MXene/Syltherm 800-based solar field has a slightly lower Levelized cost of electricity (LCOE) and shorter payback period.
THERMAL SCIENCE AND ENGINEERING PROGRESS
(2023)
Article
Green & Sustainable Science & Technology
Alireza Rafiei, Reyhaneh Loni, Shuhaimi B. Mahadzir, Gholamhassan Najafi, Milad Sadeghzadeh, Mohamed Mazlan, Mohammad Hossein Ahmadi
Summary: A hybrid energy conversion system was proposed and evaluated for power generation and freshwater production, with a focus on the influence of different nanofluids on system performance. Results showed improved thermal efficiency, freshwater production, and exergy efficiency with the application of specific nanofluids, while reducing CO2 emissions in the environment.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Mohsen Rostami, Mojtaba Dehghan Manshadi, Ebrahim Afshari
Summary: Due to the limitations with fossil fuels consumption, there is a need to focus more on clean energy sources like solar energy. This paper introduces and investigates a novel solar driven-polygeneration energy system with electrical energy storage. The system is capable of generating power and heat, and has the ability to store excess electricity for times of need.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Qiliang Wang, Yao Yao, Zhicheng Shen, Hongxing Yang
Summary: A novel parabolic trough collector-photovoltaic (PTC-PV) system is proposed to enhance the thermal performance and solar utilization efficiency. Mathematical models are established and experiments are conducted to validate the superior performance of the hybrid PTC-PV system.
Article
Computer Science, Interdisciplinary Applications
S. Z. Feng, Y. C. Guo, Grzegorz Krolczyk, Xu Han, Atilla Incecik, Zhixiong Li
Summary: A computational approach is developed for multi-physics modelling of IGBT module, considering the coupling effect between electrical, thermal, and mechanical fields. The approach utilizes tetrahedral elements to construct an efficient IGBT model using the finite element method. The results demonstrate that the proposed approach achieves higher accuracy, convergence, and computing efficiency compared to popular methods, providing an efficient tool for the IGBT multi-physics coupling problem.
ADVANCES IN ENGINEERING SOFTWARE
(2023)
Article
Mechanics
Shiwei Liu, Gaoliang Peng, Zhixiong Li, Weihua Li, Kang Jin
Summary: This paper investigates the application potential of origami metamaterials in advanced deployable mechanisms, intelligent robots, and energy absorption devices. It embeds flexible joints with metamaterial properties into the origami metamaterial structure, enabling simultaneous geometric nonlinearity and joint stiffness nonlinearity. The nonlinear stiffness characteristics of this composite metamaterial are examined in detail.
COMPOSITE STRUCTURES
(2023)
Article
Engineering, Electrical & Electronic
Xiaoqiang Guo, Xinhua Liu, Xu Zhang, Grzegorz M. Krolczyk, Paolo Gardoni, Zhixiong Li
Summary: The powerful belt conveyor is crucial for coal mining transportation, and its stable operation is essential for efficiency. Machine vision-based damage detection systems are widely studied and deployed, but capturing high-quality images in the harsh underground coal seam environment is difficult. To solve this issue, an image denoising and enhancement approach based on invertible neural network (INN) is proposed. The proposed model, called denoising INN (DeINN), demonstrates excellent image denoising ability and outperforms existing methods.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Mechanical
Shiwei Liu, Gaoliang Peng, Zhixiong Li, Weihua Li, Kang Jin, Hongzhao Lin
Summary: Inspired by the nonlinearity of origami cartons, a novel origami-inspired constant-force mechanism (OriCFM) is proposed. It adds equivalent springs at horizontal and oblique creases of the rigid origami mechanism to achieve a stable constant force output. The mechanical model is established based on geometric relationships, and the influence of structural parameters and spring stiffness on the constant force characteristic of the OriCFM is analyzed. Experimental results demonstrate the feasibility and effectiveness of the proposed mechanism.
MECHANISM AND MACHINE THEORY
(2023)
Article
Engineering, Multidisciplinary
Ali Hosseini Esfahani, Mehdi Aliehyaei, Ali Hassani Joshaghani, Mohammad Mahdi Najafizadeh
Summary: This study examines the effects of TT turbulators and compound TT turbulators in PTC on energy, energy efficiency, economic efficiency, and environmental efficiency. The results show that using turbulators enhances Nuave and the friction coefficient, and the thermal performance of PTC using CuO-SWCNT/Water HNF is better than water base fluid. Increasing flow velocity and NP volume fraction can reduce LCOE. PTC with nanofluid produces fewer environmental pollutants.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Engineering, Multidisciplinary
Mengyu Ji, Gaoliang Peng, Sijue Li, Wentao Huang, Weihua Li, Zhixiong Li
Summary: With the rapid development of artificial intelligence, various fault diagnosis methods based on deep neural networks have achieved great progress in mechanical system safety monitoring. However, the large redundancy and structure uncertainty of the fault diagnosis networks, as well as the challenge of deploying these networks on embedded platforms due to the large scales of network parameters, hinder the practical application of intelligent diagnosis algorithms. In this paper, an iterative automatic machine compression method called Iterative-AMC is proposed to address these issues. Experimental results demonstrate that the proposed method successfully compresses the scale of the original network and deploys the compressed fault diagnosis network on a small-scale FPGA chip.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Energy & Fuels
Mohammad Vahabi Khah, Rahim Zahedi, Mohammad Sadegh Mousavi, Abolfazl Ahmadi
Summary: This paper examines the prediction of renewable energy usage in the water and wastewater industry. Various approaches have been proposed to showcase energy recovery techniques and the adoption of renewable energy in wastewater treatment. The findings suggest that a carbon tax increase of more than 30 USD per ton of CO2 could result in a 30% reduction in emissions from all fossil-fuel power plant types.
Article
Energy & Fuels
Aria Abbaspour, Amin Jahed, Abolfazl Ahmadi
Summary: This study provides a techno-economic analysis of hybrid energy systems in industrial towns in Spain using wind turbines, PV panels, diesel generators, and batteries. The most efficient configuration is the wind-PV-diesel-battery system. A Coruna has the lowest carbon emissions, while Madrid has the highest, highlighting the importance of hybrid technologies in reducing pollution. The results can serve as a roadmap for establishing similar systems in different climate zones.
ENERGY SCIENCE & ENGINEERING
(2023)
Article
Energy & Fuels
Amir Hosein Saedi, Abolfazl Ahmadi
Summary: This study employs life cycle assessment to evaluate Iran's energy production/consumption portfolio and analyzes the environmental impacts under three energy portfolio scenarios. The results show that Iran's energy portfolio has lower emissions compared to the global portfolio, with the 2018 scenario being the most favorable in terms of environmental protection, followed by the 2050 scenario and the zero-carbon scenario based on solar and wind energy technologies. Compared to the 2018 scenario, the environmental effects are reduced by 40% and 52% in the second and third scenarios, respectively, highlighting the significance of renewable energy in reducing environmental consequences.
ENERGY SCIENCE & ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Yuansheng Cheng, Zhixiong Li, Grzegorz M. Krolczyk, Chunsheng Yang, Ruqiang Yan
Summary: Vibration measurement is crucial for monitoring and controlling vibrations. Noncontact vibration measurement is more practical than contact methods, but noncontact methods often require a high standard of the light field environment. To solve this problem, a new binocular vision method is proposed, which allows noncontact vibration measurement in different light fields. This method first recognizes multitarget objects in the same image using a YOLOv5 model, generating bounding boxes. A depth image is generated through binocular vision and kept synchronized with the target image. An optimal depth value decision algorithm is developed to determine the 3-D real-time coordinates of each object based on the bounding box and its corresponding depth image. As a result, vibrations of multitarget objects can be measured simultaneously. Experimental tests show accurate results and the ability of the proposed noncontact method to detect very low-frequency vibrations.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Shizhe Feng, Qingjian Sun, Yang Wu, Xu Han, Zhixiong Li, Miguel Angel Sotelo
Summary: A thermal-structural-electromagnetic coupling model is proposed for the stochastic analysis of active phased array antenna performance. The model considers random material parameters and uses stochastic perturbation technique to analyze temperature distribution, thermal deformation, and electromagnetic performance. The results show that the model provides accurate stochastic multiphysics information and reduces computational cost compared to the Monte Carlo method.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Civil
Hai Wang, Le Tao, Yingfeng Cai, Long Chen, Yicheng Li, Miguel Angel Sotelo, Zhixiong Li
Summary: In this paper, a single-stage anchor-free 3-D object detector algorithm called CenterPoint-SE is proposed, which enhances the spatial perception ability of anchor-free detection networks based on CenterPoints. An efficient 3-D backbone network is constructed to extract fine-grained spatial geometric features, and a powerful spatial semantic feature fusion module called EF-Fusion is designed. Various improvements, including a lightweight IoU prediction branch and a foreground point segmentation auxiliary training branch, are added to enhance the algorithm's performance.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Industrial
Mengmeng Wang, Atilla Incecik, Shizhe Feng, M. K. Gupta, Grzegorz Krolczyk, Z. Li
Summary: A new digital twin (DT) framework with optimal sensor placement (OSP) is proposed, which accurately calculates the modal responses and identifies the damage ratios of offshore jacket platforms. The framework consists of an OSP model and a damage identification model. The OSP model optimizes the sensor number/location using the multi-objective Lichtenberg algorithm (MOLA) to balance the sensor cost and modal calculation accuracy. The damage identification model uses the Markov Chain Monte Carlo (MCMC)-Bayesian method to calculate the structural damage ratios based on modal information obtained from sensory measurements, considering the uncertainties of structural parameters. The method is validated using an offshore jacket platform, demonstrating efficient identification of structural damage location and severity.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Computer Science, Artificial Intelligence
Kuosheng Jiang, Chengsong Zhang, Baoliang Wei, Zhixiong Li, Orest Kochan
Summary: The operating conditions of RV reducer are complex and the fault signal sample is small. An improved DNCNN denoising algorithm is proposed to realize the failure mode recognition of RV reducer, and experimental analysis shows its effectiveness.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Baiyi Wang, Zipeng Zhang, Patrick Siarry, Xinhua Liu, Grzegorz Krolczyk, Dezheng Hua, Frantisek Brumercik, Z. Li
Summary: The African vultures optimization algorithm (AVOA) has some shortcomings in solving complex problems. To address these issues, a nonlinear African vulture optimization algorithm (HWEAVOA) is proposed, which outperforms other algorithms in terms of convergence speed, optimization ability, and solution stability, according to experimental results.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
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)
