Global Balance of Plant Using Process Data Reconciliation According to VDI2048

2009 ◽  
Author(s):  
Magnus Langenstein ◽  
Bernd Laipple
Keyword(s):  
Quality Control ◽  
Monitoring System ◽  
Data Reconciliation ◽  
Measurement Information ◽  
Process Data ◽  
Balance Of Plant ◽  
Monitoring Tools ◽  
Plant Monitoring ◽  
Day To Day Operations ◽  
Plant Process

The large quantities of measurement information gathered throughout a plant process make the closing of the plant balance nearly impossible without the help of additional tools. For this reason, a variety of plant monitoring tools for closing plant balances have been developed. A major problem with the current tools lies in the non-consideration of redundant process information which is available throughout the plant. The monitoring system ProcessPlus™ is based on the process data reconciliation program VALI 4, which is certified according to the VDI 2048 standard and is using all redundant pieces of information within the process. Plausibility checks and structured quality control serve as the foundation for the system. Among other components, a procedural process image, significant diagnosis and monitoring tools have been developed and now offer a fast and economically ideal support for process optimization. This paper describes the methodology according to VDI 2048 and the benefits gained from the use of an online plant monitoring system by means of examples from day-to-day operations.

Global Balance of Plant in NPPs Using Process Data Reconciliation According to VDI 2048

2014 ◽  
Author(s):  
Magnus Langenstein ◽  
Bernd Laipple
Keyword(s):  
Monitoring System ◽  
Mass Flow ◽  
Online Monitoring ◽  
Water Mass ◽  
Data Reconciliation ◽  
Measurement Information ◽  
Feed Water ◽  
Process Data ◽  
Operation Conditions ◽  
Plant Process

The large quantities of measurement information gathered throughout a plant process make the closing of the mass and energy balance nearly impossible without the help of additional tools. For this reason, a variety of plant monitoring tools for closing plant balances was developed. A major problem with the current tools lies in the non-consideration of redundant measurements which are available throughout the entire plant process. The online monitoring reconciliation system is based on the process data reconciliation according to VDI 2048 standard and is using all redundant measurements within the process to close mass and energy balances. As a result, the most realistic process with the lowest uncertainty can be monitored. This system is installed in more than 35 NPPs worldwide and is used ○ as a basis for correction of feed water mass flow and feed water temperature measurements (recover of lost Megawatts). ○ as a basis for correction of Taverage (Tav) (recover of steam generator outlet pressure in PWRs). ○ for maintaining the thermal core power and the feed water mass flow under continuous operation conditions. ○ for automatic detection of erroneous measurements and measurement drift. ○ for detection of inner leakages, non-condensable gases and system losses. ○ for calculating non measured values (e.g. heat transfer coefficients, ΔT, preheater loads,…). ○ as a monitoring system for the main thermodynamic process. ○ for verifying warranty tests more accurate. ○ as a application of condition-based maintenance and component monitoring. ○ for What-if scenarios (simulation, not PDR) This paper describes the methodology according to VDI 2048 (use of Gaussian correction principle and quality criterias). The benefits gained from the use of the online monitoring system are demonstrated.

Financial Benefits of Process Data Reconciliation in Power Generating Plants

2006 ◽  
Author(s):  
Andy Jansky
Keyword(s):  
Peak Load ◽  
Data Reconciliation ◽  
Process Data ◽  
Process Measurement ◽  
Financial Benefits ◽  
Entire Plant ◽  
Output Time ◽  
Main Factors ◽  
Measurement Uncertainties ◽  
Plant Process

Process Data Reconciliation (PDR) is a certified method that calculates the most likely values considering process measurement uncertainties and closing all energy- and material balances where all interdependencies within the entire plant process are fulfilled in a covariance matrix. There are three main factors that generate the financial benefits for the user of reconciled data, depending on the type of plant and base/peak load behaviour: • Increased efficiency / maximized output; • Time advantage in retrieving “lost” megawatts; • Reduction of maintenance costs.

Studies and Application of Auger Monitoring System for Quality Control and Assurance of Al Bondpads

2016 ◽  
Author(s):  
Hua Younan
Keyword(s):  
Quality Control ◽  
Sample Preparation ◽  
Monitoring System ◽  
Failure Mechanisms ◽  
Wafer Fabrication ◽  
Contamination Level ◽  
Auger Analysis ◽  
Low Level ◽  
Monitoring Frequency ◽  
Control Procedures

Abstract In wafer fabrication (Fab), Fluorine (F) based gases are used for Al bondpad opening process. Thus, even on a regular Al bondpad, there exists a low level of F contamination. However, the F level has to be controlled at a lower level. If the F level is higher than the control/spec limits, it could cause F-induced corrosion and Al-F defects, resulting in pad discoloration and NSOP problems. In our previous studies [1-5], the theories, characteristics, chemical and physical failure mechanisms and the root causes of the F-induced corrosion and Al-F defects on Al bondpads have been studied. In this paper, we further study F-induced corrosion and propose to establish an Auger monitoring system so as to monitor the F contamination level on Al bondpads in wafer fabrication. Auger monitoring frequency, sample preparation, wafer life, Auger analysis points, control/spec limits and OOC/OOS quality control procedures are also discussed.

Design of Temperature Monitoring System Based on MSP430

2011 ◽  
Vol 301-303 ◽  
pp. 1162-1165
Author(s):  
Fei Hu ◽  
Wen Qing Yin ◽  
Cai Rong Chen
Keyword(s):  
Monitoring System ◽  
Simple Structure ◽  
High Accuracy ◽  
Temperature Monitoring ◽  
Low Power Consumption ◽  
Key Factors ◽  
Process Data ◽  
Long Distance ◽  
Fast Acquisition ◽  
Digital Temperature Sensor

The Greenhouse Temperature Is one of the Key Factors for Controlling the Growth of Crops. Traditional Methods of Temperature Monitoring Can Not Meet the Modern Greenhouse Requirements of High Accuracy, Fast Acquisition and Response. a Greenhouse Temperature Monitoring System Based on MSP430 Was Designed. this System Uses Digital Temperature Sensor DS18B20 to Measure Temperature, MSP430 to Process Data and Transmit Data to the Host Computer through RS485 Bus, Realizing the Real-Time Detection and Long-Distance Transmission of Greenhouse Temperature. this System Has the Features of Simple Structure, Low Power Consumption, Stability and Strong Portability Etc.

scholarly journals Mobile mecavision: automatic plant monitoring system as a precision agriculture solution in plant factories

2021 ◽  
Vol 733 (1) ◽  
pp. 012026
Author(s):  
A Wijanarko ◽  
A P Nugroho ◽  
A I Kusumastuti ◽  
M A F Dzaky ◽  
R E Masithoh ◽  
...  
Keyword(s):  
Monitoring System ◽  
Precision Agriculture ◽  
Plant Monitoring
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