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Capacitance probe for water holdup measurement in crude oil-water flows

Measurement: Sensors 2020年 10-12卷

作者： Zheng, Xuebo Yang, Bo Bai, Bofeng State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong University Xi'an710049 China

Water holdup in crude oil-water flows is a crucial parameter to identify flow patterns or monitor the flow process in oil production. It has been increasingly important to accurately predict water holdup. Due to the simple structure and robust performance, capacitance probes have been widely used in experimental research and industrial application. In this paper, we proposed a water holdup measurement device based on a capacitance probe for crude oil-water flows. The measurement principle lies in the fact that the output capacitance is proportional to the part of the probe immersed in water. It was found that when inserted into crude oil, the surface of the probes will absorb hydrocarbons and form an oil film covering the probes. The formed oil film will reduce the sensitivity of the output capacitance to the water layer height. The thicker the film the lower the sensitivity. We examined the parameters that affect the thickness of the formed oil film and found that the thickness is mainly dependent on temperature and water holdup. The higher the temperature the thinner the formed oil film. The reason is that an increase of temperature leads to a decrease of viscosity. In addition, as the temperature approached about 50 °C, the thickness is nearly unchanged. As for the water holdup, at low temperatures the effect is considerable. At relatively high temperatures, the effect is minor and can be neglected. The experimental results showed that the capacitance probes have the highest sensitivity at about 50 °C. We designed and manufactured a prototype of the measurement device. The probes were inserted with heating wires to heat the crude oil near the probes and the current was controlled by an integrated circuit to maintain the temperature at about 50 °C. The field test showed that the natural gas entrained in the production fluids caused the device to under-predict the water holdup. After gas-liquid separation, the prediction errors were within ±6%. © 2020 The Author

关键词： Crude oil

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Customizable Ligand Exchange for Tailored Surface Property of Noble Metal Nanocrystals

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Research 2020年第1期2020卷 292-303页

作者： Qikui Fan Hao Yang Juan Ge Shumeng Zhang Zhaojun Liu Bo Lei Tao Cheng Youyong Li Yadong Yin Chuanbo Gao Frontier Institute of Science and Technology State Key Laboratory of Multiphase Flow in Power EngineeringXi’an Jiaotong UniversityXi’anShaanxi 710054China Institute of Functional Nano&Soft Materials(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials&DevicesJoint International Research Laboratory of Carbon-Based Functional Materials and DevicesSoochow UniversitySuzhouJiangsu 215123China Department of Chemistry University of CaliforniaRiversideCalifornia 92521USA

It is highly desirable,while still challenging,to obtain noble metal nanocrystals with custom capping ligands,because their colloidal synthesis relies on specific capping ligands for the shape control while conventional ligand exchange processes suffer from“the strong replaces the weak”limitation,which greatly hinders their ***,we report a general and effective ligand exchange approach that can replace the native capping ligands of noble metal nanocrystals with virtually any type of ligands,producing flexibly tailored surface *** key is to use diethylamine with conveniently switchable binding affinity to the metal surface as an intermediate *** a strong ligand,it in its original form can effectively remove the native ligands;while protonated,it loses its binding affinity and facilitates the adsorption of new ligands,especially weak ones,onto the metal *** this means,the irreversible order in the conventional ligand exchange processes could be *** efficacy of the strategy is demonstrated by mutual exchange of the capping ligands among cetyltrimethylammonium,citrate,polyvinylpyrrolidone,and *** novel strategy significantly expands our ability to manipulate the surface property of noble metal nanocrystals and extends their applicability to a wide range of fields,particularly biomedical applications.

关键词： properties replace mutual

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Multi-Objective Optimization Design of a Solar-Powered Integrated Multi-Generation System Based On Combined Sco 2 Brayton Cycle and Orc Using Machine Learning Approach

SSRN

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SSRN 2024年

作者： Zhang, Junyi Wang, Jiangfeng Liu, Wenxing Hu, Bin Lou, Juwei Zhao, Pan Institute of Turbomachinery State Key Laboratory of Multiphase Flow in Power Engineering School of Energy and Power Engineering Xi’an Jiaotong University Shaanxi Xi’an710049 China Nuclear Power Institute of China No. 328 Section 1 Changshun Avenue Sichuan Chengdu610213 China DongFang Electric Engineering& Consulting Co. Ltd 18 Xixin Avenue High-tech West Zone Sichuan Chengdu611731 China

With the rapid development of technology and the accelerated degradation of the global environment, there is an urgent need to find a clean and efficient energy solution to replace traditional fossil fuels for energy production. Additionally, this solution should also meet the growing demand for various energy products for energy user. In particular for remote areas such as islands, coastal regions and deserts which are far from the power grid, regular resources such as power, freshwater, and cooling are all scarce. Therefore, integrating freshwater and cooling subsystems into the power generation system to create a multi-generation system can facilitate achieving energy self-sufficiency in remote regions. This paper proposes an integrated multi-generation system powered by a solar power tower (SPT) according to the principle of cascading energy utilization, which includes a supercritical CO2 (SCO2) Brayton cycle, an Organic Rankine cycle (ORC), an ejector refrigeration cycle (ERC), and a reverse osmosis (RO) unit. A mathematical model is established to analyze the system performance from the perspectives of energy, exergy and economics. Different machine learning algorithms including back propagation neural network (BPNN), support vector regression (SVR), random forest (RF) are used to develop prediction models of the system performance. By comparing and analyzing the predictive performance of different machine learning models, the optimal machine learning model is obtained as a surrogate model for the thermodynamic model of the proposed system to accelerate the optimization process. The results show that the BPNN model demonstrates the highest predictive accuracy and the lowest relative error fluctuation, maintaining a relative error of less than 1% for over 97.5% of the data in the testing set. When comparing the multi-objective optimization results of the BPNN model with those of the thermodynamic model from multiple perspectives, it can be observed that the res

关键词： Neural network models

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Rapid modeling of transient processes in hydrogen-blended natural gas pipelines featuring injection and withdrawal points

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International Journal of Hydrogen Energy 2025年

作者： Gong, Junhua Zhou, Chaoqun Wang, Yanxin Deng, Yajun Chen, Yujie Wang, Peng Yu, Bo Chen, Bin Yu, Zhipeng Wang, Bohong School of Mechanical Engineering Beijing Institute of Petrochemical Technology Beijing102617 China Changqing Oil and Gas Transportation Branch of Northwest Company of PipeChina Xingqing District Ningxia Yinchuan City750004 China PipeChina Engineering Technology Innovation Co.Ltd Tianjin300450 China School of Petroleum Engineering Yangtze University Wuhan430100 China State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong University Xi'an710049 China National & Local Joint Engineering Research Center of Harbor Oil & Gas Storage and Transportation Technology/Zhejiang Key Laboratory of Pollution Control for Port-Petrochemical Industry Zhejiang Ocean University Zhoushan316022 China

Blending hydrogen into natural gas pipelines enables the large-scale delivery and application of hydrogen, contributing to carbon emission reduction and promoting the transition to cleaner energy sources. Accurate and efficient predictions of transient processes in such pipelines are critical for effective management and operation. This study proposes a Fourier Neural Operator (FNO)-based model for the rapid prediction of transient processes in hydrogen-blended pipelines with injection and withdrawal points. The model is trained using numerical simulation data of pressure and flow dynamics, with initial conditions, boundary conditions, and the hydrogen blending ratio as inputs to predict hydraulic parameters along the pipeline over time. By optimizing data preprocessing and neural network hyperparameters, the model achieves high accuracy and efficiency in predicting hydraulic states. The FNO model achieves average Root Mean Squared Errors (RMSEs) of 1.06 × 10−3, 1.64 × 10−3, and 7.40 × 10−4 for pressure, flow rate, and density, respectively, with the Coefficient of Determination (R2) exceeding 0.99 for all three variables. Furthermore, the model demonstrates strong generalization capabilities, accurately predicting hydraulic states for pipeline topologies and scenarios beyond the training data. In these cases, the RMSE remains in the order of 10−3 or smaller. For a 100 km pipeline, the computational efficiency of the FNO model is at least 969 times higher than that of traditional numerical methods, with the maximum efficiency improvement reaching 5168 times as the number of pipeline cases simultaneously predicted increases. These results highlight the potential of the FNO model for real-time applications in hydrogen-blended natural gas pipeline management. © 2025 Hydrogen Energy Publications LLC

关键词： Mean square error

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Experimental study on potassium catalyzed gasification of large particle size biomass with CO2

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Journal of the Energy Institute 2023年 111卷

作者： Huang, Xiaole Li, Yuhang Ren, Jiyun Yang, KaiXuan Li, Ruiyu Bai, Yang Deng, Lei Che, Defu State Key Laboratory of Multiphase Flow in Power Engineering School of Energy and Power Engineering Xi'an Jiaotong University Xi'an710049 China Xi'an Thermal Power Research Institue Co. Ltd. Xi'an710032 China Shanghai Power Equipment Research Institute Co. Ltd. Shanghai 200240 China Shunde Institue of Inspection Guangdong Institue of Special Equipment Inspection and Research Foshan528300 China

Candlenut wood with large particle size is selected to investigate the biomass gasification catalyzed by potassium. The sample pore structure, the spatial distribution of potassium, and the effects of potassium salt species on the biomass gasification with CO2 are examined. The results show that the large particle candlenut wood exhibits obvious spatial anisotropy and that the pore structure is mainly distributed along the axial direction. Large particle candlenut wood has a more uniform distribution of potassium salts along the axial direction. Part of the potassium salt releases outward during the gasification, which reduces the potassium salt content in the sample center. The average potassium contents of sample loaded with KCl and biochar of sample loaded with KCl are 9.273% and 7.745%, respectively. The synthesis of polycyclic aromatic hydrocarbons in tar could be inhibited by potassium, which could also catalyze the gasification and methane removal reactions of biochar and facilitate the formation of CO and H2. Compared to raw sample (28.99%), the syngas yields from the gasification of sample loaded with KCl, sample loaded with K2CO3, and sample loaded with K2SO4 are 40.22%, 52.16%, and 41.72%, separately. The catalysis of potassium is closely related to its occupation of the active sites on biochar. The chemical bonds formed by potassium and biochar are repeatedly broken and formed during the gasification, which promotes the decomposition of organic matter. Compared with KCl and K2SO4, K2CO3 has a better catalytic effect. © 2023 Energy Institute

关键词： Biomass

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Dynamic Analysis and Optimization of Heat Transfer Performance During Electrospray Cooling with Ethanol-R141b Mixture

SSRN

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SSRN 2022年

作者： Tian, Jiameng Kong, Lingwen Li, Bufa Wang, Junfeng Chen, Bin Xiong, Junhui School of Energy and Power Engineering Jiangsu University Zhenjiang212013 China State Key Laboratory of Multiphase Flow in Power Engineering Xi’an Jiaotong University Shaanxi Xi’an710049 China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Zhejiang Ningbo315201 China

Electrospray (ES) cooling that relies on Coulomb forces for energy-efficient liquid atomization is promising to meet the requirement of high-heat-flux thermal dissipation for micro-sized electronics under relative low... 详细信息

关键词： Ethanol

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Hydrothermal Hydrolysis Modeling of Lignocellulosic Biomass Using Subcritical Water for Test Packed Bed Reactor

SSRN

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SSRN 2023年

作者： Wu, Zhonggang Wang, Jiawei Du, Xiaocheng Su, Hanguang China Nuclear Power Operations Co. Ltd. Shenzhen518116 China Department of Mathematics Physics and Electrical Engineering Northumbria University NewcastleNE1 8ST United Kingdom State Key Laboratory of Multiphase Flow in Power Engineering Xian Jiaotong University Xi'An China School of Information Science and Engineering Northeastern University Shenyang China

In this paper, the subcritical water hydrothermal conversion process of lignocellulosic biomass as porous media in packed bed reactor was investigated by numerical simulation. The computational fluid dynamics mathematical modeling was used to describe the transient multi-physical fields formed during the instantaneous formation process of organic functional groups on the bases of experiment. The effect of inlet hydrothermal fluid velocity and temperature on the transient seepage flow, heat and transfer, and organic conversion reaction were investigated by ANSYS FLUENT® software. The results of the simulation indicate that the osmotic pressure and velocity increase with the hydrothermal fluid velocity and temperature. The surface heat transfer coefficient increases with the hydrothermal fluid velocity and temperature, and may reach the maximum within the scope of this paper. Both experimental and numerical simulation results consistently show that within the first 60 minutes of the hydrothermal reaction, the organic reaction rate is mainly determined by the combined model of turbulent-hydrothermal reaction. For a later time period after 60 minutes, the organic reaction rate mainly depends on the single model of hydrothermal reaction. Comparing the same experimental conditions and their real-time measurements, the numerical results in this paper accord with them. © 2023, The Authors. All rights reserved.

关键词： Porous materials

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Polarity switching from p- to n-type in a single thermoelectric donor-acceptor copolymer by p-type doping

Research Square

引用

Research Square 2021年

作者： Wang, Jing Wang, Yizhuo Li, Qing Li, Zhanchao Xu, Liqing Li, Kuncai Wang, Hong Frontier Institute of Science and Technology Xi’an Jiaotong University Xi’an710054 China State Key Laboratory of Multiphase Flow in Power Engineering Xi’an Jiaotong University Xi’an710054 China

The transport mechanism of organic materials is still far away from being well understood and controlled although conducting polymers have been discovered since 1977. It is rare to see conducting polyers possessing high bipolar (p- and n-type) electrical conductivities within a single bulk doped organic polymer without the assistant of gate voltage. Here, we report a novel approach to provide high performance n-type materials by p-type doping. More importantly, the bipolar electrical conductivities of the donor-acceptor conducting polymer are high, resulting high bipolar power factors among the solution-processable ambipolar D-A copolymers. A fully organic p-n junction is created in a planar film, exhibiting a high rectification ratio of 2 x 102 at ±5 V with a high current density of 3 A/cm2. Structural and spectroscopic tests have been performed to provide a fundamental understanding of the polarity switching mechanism. The results open the opportunity of making p- and n-type modules with a single conducting polymer for future modern organic electronics. © 2021, CC BY.

关键词： Conducting polymers

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Development and Assessment of a Novel Air/Water Hybrid Cooling System Coupling Two Units for Energy and Water Saving

SSRN

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SSRN 2022年

作者： Wang, Jinshi Xue, Kai Zhang, Guilong Chen, Weixiong Li, Gen Zhang, Juntai Zhang, Guozhu State Key Laboratory of Multiphase Flow in Power Engineering Xi’an Jiaotong University Xi’an710049 China School of Electric Power Engineering South China University of Technology Guangzhou510641 China Datang Environment Industry Group Co. Ltd. Beijing100097 China

For the purpose of reducing coal consumption, decreasing CO2 emission, and improving economic interests of thermal power plants, a novel air/water hybrid cooling system coupling two units has been developed and assessed. The hybridization is achieved by the heat exchange of the circulating cooling water from two units, which is appropriate for the power plants with both water-cooling units and indirect air-cooling units, such as in North China region. Two schemes with different circulating water returning positions were compared on basis of thermodynamic and economic evaluation. Finally, the scheme that cooled circulating water was introduced to the air-cooling tower outlet was considered as the optimal design, which has the coal saving rate of 1.43 g/kWh at the design condition, with a 3.59-year payback period. In addition, this work focused on operation strategies to obtain optimum operation range, contributing to less coal consumption in summer and less water consumption in winter. The results indicate that annual coal consumption can be reduced by about 1400 tons in the reference power plant, the CO2 emission is decreased by 3490 tons, and 50000 tons of water could be saved. This technology is expected to be further promoted to practical engineering for the sustainable development. © 2022, The Authors. All rights reserved.

关键词： Thermoelectric power plants

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Robust DNA-Bridged Memristor for Textile Chips

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Angewandte Chemie 2020年第31期132卷 12862-12868页

作者： Xu X. Zhou X. Wang T. Shi X. Liu Y. Zuo Y. Xu L. Wang M. Hu X. Yang X. Chen J. Chen L. Chen P. Peng H. State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Science and Laboratory of Advanced Materials Fudan University Shanghai 200438 China State Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai 200433 China International Research Center for Renewable Energy State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiao Tong University Shannxi 710049 China State Key Laboratory of Surface Physics Fudan University Shanghai 200438 China Department of Materials Science Fudan University Shanghai 200438 China

Electronic textiles may revolutionize many fields, such as communication, health care and artificial intelligence. To date, unfortunately, computing with them is not yet possible. Memristors are compatible with the interwoven structure and manufacturing process in textiles because of its two-terminal crossbar configuration. However, it remains a challenge to realize textile memristors owing to the difficulties in designing advanced memristive materials and achieving high-quality active layers on fiber electrodes. Herein we report a robust textile memristor based on an electrophoretic-deposited active layer of deoxyribonucleic acid (DNA) on fiber electrodes. The unique architecture and orientation of DNA molecules with the incorporation of Ag nanoparticles offer the best-in-class performances, e.g., both ultra-low operation voltage of 0.3 V and power consumption of 100 pW and high switching speed of 20 ns. Fundamental logic calculations such as implication and NAND are demonstrated as functions of textile chips, and it has been thus integrated with power-supplying and light emitting modules to demonstrate an all-fabric information processing system. © 2020 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim

关键词： DNA fiber electronics logic-in-memory computing memristors nanoparticles

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