Design of Real-time Measuring and Displaying System for Liquid Metal Magnetohydrodynamic Generation Test Facility

2010 ◽  
Author(s):  
Yuyu Xu ◽  
Ran Li ◽  
Yan Peng ◽  
Lingzhi Zhao ◽  
Ciwen Sha ◽  
...  
Keyword(s):  
Liquid Metal ◽  
Real Time ◽  
Test Facility ◽  
Generation Test

Liquid metal embedded real time microfluidic flow pressure monitoring sensor

2020 ◽  
Vol 305 ◽  
pp. 111909 ◽  
Author(s):  
Kelu Peng ◽  
Junyi Yao ◽  
Sunghyun Cho ◽  
Younghak Cho ◽  
Hyun Soo Kim ◽  
...  
Keyword(s):  
Liquid Metal ◽  
Real Time ◽  
Pressure Monitoring ◽  
Microfluidic Flow ◽  
Flow Pressure

A Modular Differential Dielectric Sensor (DDS) for Use in Multiphase Separation, Process Measurement and Control—Part II: Experimental Investigation

2009 ◽  
Author(s):  
D. Xiang ◽  
R. Mohan ◽  
J. Marrelli ◽  
S. Wang ◽  
O. Shoham
Keyword(s):  
Process Control ◽  
Real Time ◽  
Petroleum Industry ◽  
Low Noise ◽  
Sensor Data ◽  
Test Facility ◽  
Surface Measurement ◽  
Experimental Investigations ◽  
Oil Composition ◽  
Time Calibration

Accurate and continuous measurement of the percent water in crude oil production streams (watercut) over 0 to 100% range is critical for petroleum industry. High accuracy and stability are also required for surface measurement to support process control applications aimed at removing trace amounts of oil and particulates from produced water. This paper is a two-part paper — the first part [1] deals with analytical modeling of the Differential Dielectric Sensors (DDS) and the second part (current paper) discusses the results of key experimental investigations. A dedicated closed-loop experimental facility is used to obtain in-line real-time measurement of DD sensor data in a controlled configuration. A complete description of test facility is presented followed by detailed experimental results. The results show that DDS is unique in its use of very low noise and high sensitivity differential measurements between two identical sensors. In a process control system, DDS shows good measurement stability and is adaptive to composition measurements compensating for changes in oil composition, gas fraction, emulsion state, water NaCl concentration, temperature, and flow rate. Because of its auto calibration capability, DDS can also conduct real time calibration for sensor configuration changes caused by factors such as corrosion and erosion.

scholarly journals Remote operation and monitoring of a micro aero gas turbine

2017 ◽  
Vol 121 (1242) ◽  
pp. 1051-1065
Author(s):  
M. Diakostefanis ◽  
T. Nikolaidis ◽  
S. Sampath ◽  
T. Triantafyllou
Keyword(s):  
Real Time ◽  
Gas Turbine ◽  
Low Cost ◽  
Internet Technology ◽  
Test Facility ◽  
Diagnostic Tools ◽  
Internet Applications ◽  
Performance Simulation ◽  
Micro Gas Turbine ◽  
Remote Operation

ABSTRACTInternet applications have been extended to various aspects of everyday life and offer services of high reliability and security at relatively low cost. This project presents the design of a reliable, safe and secure software system for real-time remote operation and monitoring of an aero gas turbine with utilisation of existing internet technology, whilst the gas turbine is installed in a remote test facilityThis project introduces a capability that allows remote and flexible operation of an aero gas turbine throughout the whole operational envelope, as required by the user at low cost, by exploiting the available Internet technology. Remote operation of the gas turbine can be combined with other remote Internet applications to provide very powerful gas-turbine performance-simulation experimental platforms and real-time performance monitoring tools, whilst keeping the implementation cost at low levels.The gas turbine used in this experiment is an AMT Netherlands Olympus micro gas turbine and a spiral model approach was applied for the software. The whole process was driven by risk mitigation.The outcome is a fully functional software application that enables remote operation of the micro gas turbine whilst constantly monitors the performance of the engine according to basic gas turbine control theory. The application is very flexible, as it runs with no local installation requirements and includes provisions for expansion and collaboration with other online performance simulation and diagnostic tools.

scholarly journals Remote Laboratory Testing Demonstration

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2283 ◽  
Author(s):  
Luigi Pellegrino ◽  
Carlo Sandroni ◽  
Enea Bionda ◽  
Daniele Pala ◽  
Dimitris T. Lagos ◽  
...  
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Energy Resources ◽  
Test Facility ◽  
Renewable Energy Resources ◽  
Voltage Controller ◽  
Time Simulation ◽  
The Stability ◽  
Time Required ◽  
Load Tap Changer

The complexity of a smart grid with a high share of renewable energy resources introduces several issues in testing power equipment and controls. In this context, real-time simulation and Hardware in the Loop (HIL) techniques can tackle these problems that are typical for power system testing. However, implementing a convoluted HIL setup in a single infrastructure can be physically impossible or can increase the time required to test a smart grid application in detail. This paper introduces the Joint Test Facility for Smart Energy Networks with Distributed Energy Resources (JaNDER) that allows users to exchange data in real-time between two or more infrastructures. This tool enables the integration of infrastructures, exploiting the synergies between them, and creating a virtual infrastructure that can perform more experiments using a combination of the resources installed in each infrastructure. In particular, JaNDER can extend a HIL setup. In order to validate this new testing concept, a coordinated voltage controller has been tested in a Controller HIL setup where JaNDER was used to interact with an actual On Load Tap Changer (OLTC) controller located in a remote infrastructure. The results show that the latency introduced by JaNDER is not critical; hence, under certain circumstances, it can be used to expand the real-time testing without affecting the stability of the experiment.

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