Article
Thermodynamics
Tao Zhu, Richard G. A. Wills, Roberto Lot, Xiaodan Kong, Xingda Yan
Summary: This paper introduces a sizing method with sensitivity analysis for battery-supercapacitor hybrid energy storage systems to minimize vehicle-lifetime costs. By performing sensitivity analysis on eight parameters, the relative importance of each factor in practical engineering is quantified and compared. Results show that battery degradation accounts for around 89% of HESS costs, with vehicle driving range having the biggest impact on HESS costs.
Article
Engineering, Multidisciplinary
Ahmet Dogan
Summary: This paper presents a weighted sum multi-objective function and hybrid Soccer League Competition-Pattern Search (hSLC-PS) optimization algorithm to simultaneously optimize the setting and sizing of Distributed Generations, Electric Vehicles Charging Stations, and Energy Storage Systems. Through simulations and comparative experiments, the superiority of this method has been demonstrated.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2021)
Article
Construction & Building Technology
Di Wu, Guangyao Fan, Yuxuan Duan, Ao Liu, Peiwen Zhang, Jiacheng Guo, Chengkai Lin
Summary: This paper constructed a nearly-zero energy community supply system and established a multi-parameter collaborative optimization model considering system design and operation to improve the economy, energy-saving, and carbon-abatement potential of the system. The results showed that when the number of electric vehicles increased from 0 to 600, the zero energy potential, primary energy saving rate, and carbon emission reduction rate of the nearly-zero energy community supply system decreased by 6.8%, 2.6%, and 1.8%, respectively. The cost per unit supply area increased by 7.8CNY/m2, and the annual cost saving rate increased by 29.7%. The optimization design method of this system and the evaluation result of energy-saving and carbon-abatement potential provided a valuable reference for the integrated building and transportation sector development.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Energy & Fuels
Zexin Yang, Xueliang Huang, Tian Gao, Qi Zhao, Hongen Ding
Summary: A distributed collaborative control strategy based on consensus algorithm is proposed in this paper to control the operation of multiple charging stations, considering the difficulty of centralized optimization control strategy in adapting to the access of large-scale electric vehicles. By establishing a charging station aggregation model, the optimization variables of large-scale electric vehicle access are reduced, and power allocation among charging stations is realized while satisfying global and local constraints. Case analysis proves the accuracy, effectiveness, and robustness of the method, as well as its adaptability to large-scale electric vehicle access.
Article
Engineering, Electrical & Electronic
Yuqing Shao, Hongjuan Zhang, Yan Gao, Baoquan Jin
Summary: This paper proposes a dynamic power distribution strategy for the hybrid energy storage systems (HESSs) in electric vehicles (EVs). The power loss of a HESS is analyzed based on its structure and model, and optimal objectives for EV range extension, battery degradation mitigation, and HESS energy loss reduction are set. A multi-objective collaborative optimization (MOCO) function is established and transformed into a linear programming problem with the battery current as the control variable. The results show that the performances of the three optimal objectives are collaboratively improved through simulations and experiments under the worldwide harmonized light vehicles test cycle.
JOURNAL OF POWER ELECTRONICS
(2023)
Article
Thermodynamics
Jingze Yang, Zhen Yang, Yuanyuan Duan
Summary: The study proposed a hybrid renewable energy system with the optimal combination obtained through a multi-objective optimization algorithm. It was found that the combination of CSP plant and PV plant is an effective way to improve power generation reliability. The recommendation is to use power cycle to supplement power shortages.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Energy & Fuels
Zifa Liu, Jieyu Li, Yunyang Liu, Puyang Yu, Junteng Shao
Summary: A two-layer collaborative optimized operation model for a multi-character distribution network considering multiple uncertain factors is proposed in this study, aiming to achieve optimal dispatching and obtain the optimal grid structure. Through a case study, it is demonstrated that the model is effective in reducing network loss, voltage deviation, and overall cost.
Article
Thermodynamics
Weida Wang, Xinghua Guo, Chao Yang, Yuanbo Zhang, Yulong Zhao, Denggao Huang, Changle Xiang
Summary: This paper proposes a multi-objective optimization energy management strategy based on velocity prediction for a dual-mode power split HEV with HESS. The strategy utilizes a generalized regression neural network (GRNN) to predict future velocity and describes the power distribution of the dual-mode power split HEV with HESS as a rolling optimization problem in the prediction horizon of model predictive control (MPC). The introduced cost function considers fuel consumption and battery protection, and the optimization problem is solved using Pontryagin's minimum principle (PMP).
Article
Energy & Fuels
Jiwen Qi, Li Li
Summary: The paper investigates the economic operation of an electric vehicle (EV) parking lot under different scenarios. The parking lot is equipped with EV charging stations with vehicle-to-grid (V2G) function, renewable energy sources (RESs), and energy storage system (ESS). An optimisation problem is formulated to maximize the profit of the parking lot by considering uncertain factors, ESS degradation, and diverse EV parking conditions. The proposed model shows higher profit compared to two other models under three different cases, due to the implementation of V2G services and dynamic charging price.
Article
Engineering, Electrical & Electronic
Xi Lu, Ka Wing Chan, Shiwei Xia, Mohammad Shahidehpour, Wing Ho Ng
Summary: A proposed operational model for distribution companies aims to reduce costs by utilizing electric vehicle aggregators, mitigating uncertainties, and coordinating charging demands to lower energy prices. This model results in decreased penalties for energy deviations and improved overall efficiency for DISCOs.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Energy & Fuels
Koray Erhan, Engin Ozdemir
Summary: Conventional electric vehicles and hybrid electric vehicles can only store a small part of kinetic energy, necessitating the use of a flywheel energy storage system (FESS) for regenerative braking. Experimental studies show that the proposed purely electrical power transmission system for FESS is more efficient, lighter, cost-effective, requires less space, and maintenance-free compared to traditional mechanical systems.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Thermodynamics
Yuan Zhou, Jiangjiang Wang, Yuxin Li, Changqi Wei
Summary: The hybrid renewable energy distributed energy system (DES) has great application potential due to its cleanliness and high energy efficiency. This study connects DES to cloud energy storage (CES) through a subscription mode, to address the mismatch between energy supply and demand. The proposed DES-CES system incorporates an active energy reserve-based multi-stage dual-scenario collaborative management strategy, which is optimized using a multi-objective optimization model considering economic, environmental, and flexibility performances.
Article
Energy & Fuels
Youssef Amry, Elhoussin Elbouchikhi, Franck Le Gall, Mounir Ghogho, Soumia El Hani
Summary: In electric vehicle charging systems, energy storage systems (ESS) are commonly used to supplement solar power and store excess energy. This article explores a hybrid system with a flywheel and PV for an EV workplace charging station. The study investigates the optimal sizing and operational cost of the hybrid system to make it more cost-effective. Comparative studies are carried out for different charging station models in different climate zones to determine the viability and cost-effectiveness of the proposed system.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Transportation Science & Technology
Matthew Zalesak, Samitha Samaranayake
Summary: This study investigates the feasibility of using electric vehicles in online, high-capacity ridepooling systems. It proposes a mixed integer linear program to expand past algorithms on ridepooling to electric vehicle fleets, and demonstrates a faster, scalable algorithm with similar performance, emphasizing the importance of knowledge and estimates of future demand in the online setting.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Engineering, Electrical & Electronic
Darwin A. Quijano, Morteza Vahid-Ghavidel, Mohammad Sadegh Javadi, Antonio Padilha-Feltrin, Joao P. S. Catalao
Summary: Electric springs (ESs) have been proven effective for integrating renewable generation into power systems. This paper proposes a price-based strategy to coordinate the operation of multiple ESs in microgrids. Smart loads consisting of ESs connected to electric water heaters are modeled as rational agents that locally optimize their own objectives by adjusting their consumption schedules in response to price/control signals. Case studies show the effectiveness of the proposed strategy to economically benefit both the microgrid and smart loads when scheduling their operation.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Chemistry, Multidisciplinary
Meng Li, Bowen Liu, Zhijian Liu, Yumeng Xiao, Hongmin Guo, Zehao An, Lidong Wang, Tony D. James
Summary: Solar steam generation is an efficient solution to address freshwater shortages. Researchers have developed a porous hydrogel material for metal ion adsorption, which can be used for solar steam generation at a high evaporation rate. Additionally, a heat management strategy involving a cold surface is proposed to enhance water evaporation.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Construction & Building Technology
Xuqiang Shao, Zhijian Liu, Siqi Zhang, Zijia Zhao, Chenxing Hu
Summary: This paper proposes a novel physics-informed graph neural network for rapid predicting urban wind field based on irregular unstructured mesh data of CFD simulation. The proposed model can predict wind fields of arbitrary large-scale urban scenes with significantly faster computation speed compared to traditional CFD models.
BUILDING AND ENVIRONMENT
(2023)
Article
Materials Science, Multidisciplinary
Bo Ye, Yingbing Fu, Shicong Zhang, Hao Wang, Guo Fang, Wei Zha, Amit Krishna Dwivedi
Summary: This paper proposes a novel approach for the closed-loop active control of the magnetic capsule endoscope based on image navigation. The method uses a robotic arm to control the rotation of an external permanent magnet (EPM) to generate a rotating magnetic field, which controls the motion of the magnetic capsule endoscope (MCE). By establishing a relationship between the relative position of the MCE and the intestine using the MCE's internal gyroscope and captured images, the MCE can be controlled to move along the intestinal center by the robotic arm. The feasibility of this closed-loop active control was verified through experiments, showing its ease of operation, control stability, and suitability for clinical applications.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2023)
Article
Chemistry, Physical
Zhijian Liu, Jihao Wei, Guikai Zhang, Dewang Zhang, Jing Zhang, Weijie Yang, Chongchong Wu, Ian D. Gates
Summary: For human safety, efficient removal of formaldehyde in indoor environments is crucial. A metal-organic framework-based single-atom iron catalyst (Fe-SA) is proposed as a potential catalyst for formaldehyde oxidation. Through density functional theory (DFT) calculation, the adsorption characteristic and reaction path of Fe-SA with different coordination environments were explored. Fe-SA with 5-nitrogen coordination (Fe-SA-N-5-C) was selected and tested, showing a formaldehyde removal efficiency of 85.8% at 25 degrees C and 75% relative humidity, surpassing current data. Moisture was found to enhance catalytic oxidation of formaldehyde, indicating the practical applicability and stability of Fe-SA-N-5-C.
JOURNAL OF MATERIALS CHEMISTRY A
(2023)
Article
Construction & Building Technology
Zhijian Liu, Haiyang Liu, Mo Zhang, Junzhou He, Guoqing Cao
Summary: Surgical site infections (SSIs) lead to longer patient stays and higher hospital costs. Airborne microbe-carrying particles, mainly released from the surgical team, are a major cause of SSIs. Therefore, it is necessary to assess the amount of aerosol particles and microorganisms emitted by surgical staff. This study conducted experiments in a full-size operating room to evaluate four garment systems and nine movement combinations, presenting emission rates of particles and microorganisms as well as microbiome analysis by the surgical staff. Skin exposure areas and movement intensity significantly affect microbial and particle emissions. The findings contribute to the effective prevention of SSIs.
BUILDING AND ENVIRONMENT
(2023)
Article
Thermodynamics
Xiaoli Ma, Yufeng Zhang, Zhonghe Han, Ningbo Zang, Zhijian Liu
Summary: The paper presents a performance modelling of a thermoelectric air conditioning system that utilizes high power heat sinks to effectively remove waste heat and increase COPs. The system provides heating, cooling, and heat recovery ventilation, and the waste heat can be used for domestic drying services. The results showed that using high power heat sinks and an air mixture of room ventilation air and outdoor air can significantly improve the cooling and heating COPs.
Article
Public, Environmental & Occupational Health
Zhijian Liu, Peiwen Zhang, Haiyang Liu, Junzhou He, Yabin Li, Guangpeng Yao, Jia Liu, Meng Lv, Wenhui Yang
Summary: This study investigates the effectiveness of the oral spray suction machine (OSSM) in protecting healthcare providers from exposure to bioaerosols during dental treatment. The results show that the use of OSSM significantly reduces the concentration of bioaerosols, thereby minimizing the risk of transmission.
INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH
(2023)
Article
Meteorology & Atmospheric Sciences
Zhijian Liu, Hongwei Cao, Chenxing Hu, Minnan Wu, Siqi Zhang, Junzhou He, Chuan Jiang
Summary: The dispersion and deposition dynamics of bioaerosols around a vaccine factory were investigated under various thermal conditions and leakage rates. The improved Wells-Riley equation and Dijkstra's algorithm were used to assess infection risk and predict evacuation paths. The results show that bioaerosol deposition can reach 80 m on the windward sidewall of high-rise buildings, and the infection risk increases with unstable thermal stratification and higher leakage rates. This study provides a promising approach for infection risk assessment and evacuation planning in urban bioaerosol leakage emergencies.
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2023)
Article
Engineering, Chemical
Zhijian Liu, Jiaqi Chu, Zhenzhe Huang, Haochuan Li, Xia Xiao, Junzhou He, Weijie Yang, Xuqiang Shao, Haiyang Liu
Summary: The new "physics-machine learning" (P-ML) method utilizes a lightweight, single-layer LSTM model to accurately calculate bioaerosol trajectories with some transferability. This method has significant potential for expediting trajectory calculation and prediction in enclosed environments.
AEROSOL SCIENCE AND TECHNOLOGY
(2023)
Article
Biophysics
Yongjun Jin, Zhijian Liu, Chenxing Hu, Zhijian Dong, Rui Rong, Haiyang Liu, Zhenyu Liang, Jingwei Liu, Li Chen, Minghua Huang, Haihang Cui, Yan Shen
Summary: The frequency characteristics of lung sounds are important for the noninvasive diagnosis of respiratory diseases. This study investigates the fluid flow characteristics and frequency characteristics of rales in the bronchi using a three-dimensional geometric model. The results show that bronchial blockage and sputum movement affect the turbulence and vortex shedding of the flow, resulting in changes in the dominant frequency and sound pressure level of the rales.
BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
(2023)
Article
Thermodynamics
Junhao Shen, Chaohui Zhou, Yongqiang Luo, Zhiyong Tian, Shicong Zhang, Jianhua Fan, Zhang Ling
Summary: This study introduces an analytical model based on the Segmented Finite Line Source (SFLS) method to analyze the heat transfer process of a U-type deep borehole heat exchanger (UDBHE). The model is validated by comparing it with experimental data. Results show that the heat extraction capacity of the UDBHE is influenced by design and operation parameters such as the thermal conductivity of the backfill material, pipe diameter, and flow rate.
Article
Environmental Sciences
Xuqiang Shao, Zijia Zhao, Zhijian Liu, Haokang Yang, Chenxing Hu
Summary: In this study, the diffusion process of chlorine gas in a chemical laboratory and nearby urban areas in Beijing was numerically studied using the Weather Research and Forecasting Model (WRF) coupled with the open source OpenFOAM software platform. A dose-response model was used to assess chlorine lethality and exposure risk at the pedestrian level. An improved ant colony algorithm was applied to predict the evacuation path. The results demonstrated the combined effects of temperature, wind speed, and wind direction on the diffusion of toxic gases, providing valuable insights for exposure risk assessment and evacuation planning in the event of urban toxic gas leakage.
ENVIRONMENTAL POLLUTION
(2023)
Article
Environmental Sciences
Haiyang Liu, Zhijian Liu, Junzhou He, Chenxing Hu, Rui Rong, Hao Han, Lingyun Wang, Desheng Wang
Summary: This study investigated the performance of upper-room ultraviolet germicidal irradiation (UVGI) for reducing SARS-CoV-2 virus transmission in a hospital isolation environment. The results showed that higher percentage of virus could be inactivated by the upper-room UVGI at a lower ventilation rate, and the rate of improvement of UVGI elimination effect slowed down with the increase of irradiation flux. Increasing irradiation height at lower ventilation rate was more effective in improving the UVGI performance than the increase in irradiation flux at smaller irradiation height.
ENVIRONMENTAL RESEARCH
(2023)
Article
Engineering, Environmental
Zhijian Liu, Haochuan Li, Jiaqi Chu, Zhenzhe Huang, Xia Xiao, Yongxin Wang, Junzhou He
Summary: Airborne transmission is a common way of spreading infectious diseases, especially in closed environments. However, the impact of background particle concentration on bioaerosol characteristics has been overlooked in previous research. In this study, we compared the distributions of bioaerosols under heavily polluted and excellent background particle concentrations. The results showed a significant reduction in bioaerosol concentration and a higher decay rate under heavily polluted levels. The study also found differences in the size distribution of bioaerosols between the two levels of background particle concentration.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Shicong Zhang, Klaas Thoelen, Thijs Peirelinck, Geert Deconinck
Summary: As the EV market grows, smart charging is crucial to maximize users' benefits and mitigate the impact on the distribution network. This study applies data-driven methods to forecast the energy demand of EVs in an office building case in Belgium. The findings provide valuable insights into charging schedule planning for future smart charging services.
2023 IEEE BELGRADE POWERTECH
(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)
