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UuStB Koeln(38)-910106522 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman

Study on water fraction of oil–gas–water three-phase flow based on electrical methods

Oil–gas–water multiphase flows are widely used in petrochemical, biochemical, food chemical, mineral engineering and energy engineering. In this paper, the double-ring conductivity probe and the double-helical capacitance probe were extended to the water fraction measurement of oil–gas–water multiphase flow in the vertical pipe. The test pipe section of the multiphase flow of oil–gas–water in the vertical riser was designed. In the experiment, the self-designed double-ring conductivity probe and the corresponding signal processing circuit were used to measure the water fraction in the oil–gas–water three-phase flow. In this paper, the dynamic calibration of oil–gas–water three-phase flow was carried out under the working condition of high water fraction. Under uniform bubbly flow, with the increase of water fraction, the measurement error of the double-ring conductivity probe decreased, which can be controlled within 8% under working conditions with a water fraction of more than 90%. The results of water fraction were performed for different flow patterns in oil–gas–water multiphase flow. Under the bubbly flow pattern, the error reaches the maximum and the error is only related to the water fraction when the water fraction is about 85%. Under the slug flow pattern, the two measurement results of the double-ring conductivity probe and the double-helix capacitance probe were compared. It is found that the double-ring conductivity probe can clearly and accurately reflect the change of the flow pattern in the pipe

Influence of high–low hybrid towers on the wind flow and energy of complex terrain

In this paper, an Actuator Disk Model (ADM) was introduced into a commercial computational fluid dynamic software and used to simulate the wake effect of wind turbines in a wind field with complex terrain. Then, the influence of towers with difference height on wake flow and power generation can be studied, which is particularly important for the wind field design in complex terrain. The numerical results are verified by means of comparison with the measured data of Supervisory Control and Data Acquisition (SCADA). More detailed numerical results show that the optimization of the design of high and low hybrid towers with difference size wind turbines can not only make full use of the advantages of high wind speed at high altitudes, but also reasonably improve the wake flow generated by the front wind turbine and increase the power generation of the wind field. It is found that the power increment generated by the high–low hybrid towers arrangement is roughly inversely proportional to U00.877, when only evaluating the effect of tower height; moreover, if the rotor diameter is further increased, the power gain of the hybrid arrangement scheme is roughly inversely proportional to U01.167. The research provides a robust and practical numerical method for the design of wind field layout and the optimization of high and low hybrid towers

A Facile Method for Preparation of Cu2O-TiO2 NTA Heterojunction with Visible-Photocatalytic Activity

Abstract Based on highly ordered TiO2 nanotube arrays (NTAs), we successfully fabricated the Cu2O-TiO2 NTA heterojunction by a simple thermal decomposition process for the first time. The anodic TiO2 NTAs were functioned as both “nano-container” and “nano-reactors” to load and synthesize the narrow band Cu2O nanoparticles. The loaded Cu2O expanded absorption spectrum of the TiO2 NTAs from ultraviolent range to visible light range. We found that the Cu2O-TiO2 NTA heterojunction films had visible activity towards photocatalytic degrading methyl orange (MO). The photocatalytic abilities of the Cu2O-TiO2 NTA heterojunction films were found increased with the Cu2O content from 0.05 to 0.3 mol/L. This could be explained by more electron-hole pairs generated and less recombination, when the Cu2O-TiO2 heterojunction got formed. Here, we put forward this promising method, hoping it can facilitate the mass production and applications of Cu2O-TiO2 NTA heterojunction

Day-Ahead Operation Analysis of Wind and Solar Power Generation Coupled with Hydrogen Energy Storage System Based on Adaptive Simulated Annealing Particle Swarm Algorithm

As the low-carbon economy continues to evolve, the energy structure adjustment of using renewable energies to replace fossil fuel energies has become an inevitable trend. To increase the ratio of renewable energies in the electric power system and improve the economic efficiency of power generation systems based on renewables with hydrogen production, in this paper, an operation optimization model of a wind–solar hybrid hydrogen energy storage system is established based on electrochemical energy storage and hydrogen energy storage technology. The adaptive simulated annealing particle swarm algorithm is used to obtain the solution, and the results are compared with the standard particle swarm algorithm. The results show that the day-ahead operation scheme solved by the improved algorithm can save about 28% of the system operating cost throughout the day. The analytical results of the calculation example revealed that the established model had fully considered the actual operational features of devices in the system and could reduce the waste of wind and solar energy by adjusting the electricity purchased from the power grid and the charge and discharge powers of the storage batteries under the mechanism of time-of-use electricity price. The optimization of the day-ahead scheduling of the system achieved the minimization of daily system operation costs while ensuring that the hydrogen-producing power could meet the hydrogen demand

Day-Ahead Operation Analysis of Wind and Solar Power Generation Coupled with Hydrogen Energy Storage System Based on Adaptive Simulated Annealing Particle Swarm Algorithm

As the low-carbon economy continues to evolve, the energy structure adjustment of using renewable energies to replace fossil fuel energies has become an inevitable trend. To increase the ratio of renewable energies in the electric power system and improve the economic efficiency of power generation systems based on renewables with hydrogen production, in this paper, an operation optimization model of a wind–solar hybrid hydrogen energy storage system is established based on electrochemical energy storage and hydrogen energy storage technology. The adaptive simulated annealing particle swarm algorithm is used to obtain the solution, and the results are compared with the standard particle swarm algorithm. The results show that the day-ahead operation scheme solved by the improved algorithm can save about 28% of the system operating cost throughout the day. The analytical results of the calculation example revealed that the established model had fully considered the actual operational features of devices in the system and could reduce the waste of wind and solar energy by adjusting the electricity purchased from the power grid and the charge and discharge powers of the storage batteries under the mechanism of time-of-use electricity price. The optimization of the day-ahead scheduling of the system achieved the minimization of daily system operation costs while ensuring that the hydrogen-producing power could meet the hydrogen demand