scholarly journals VALIDATION OF ON-LINE MONITORING TECHNIQUES TO NUCLEAR PLANT DATA

2007 ◽  
Vol 39 (2) ◽  
pp. 133-142 ◽  
Author(s):  
Jamie Garvey ◽  
Dustin Garvey ◽  
Rebecca Seibert ◽  
J. Wesley Hines
Keyword(s):  
Nuclear Plant ◽  
Monitoring Techniques ◽  
On Line ◽  
Plant Data

Mission and Status of the First Two Next Generation Nuclear Plant Fuel Irradiation Experiments in the Advanced Test Reactor

2010 ◽  
Author(s):  
S. Blaine Grover ◽  
David A. Petti ◽  
John T. Maki
Keyword(s):  
United States ◽  
Fission Product ◽  
The United States ◽  
Nuclear Plant ◽  
United States Department ◽  
Next Generation ◽  
States Department ◽  
On Line ◽  
Test Reactor ◽  
And Control

The United States Department of Energy’s Next Generation Nuclear Plant (NGNP) Advanced Gas Reactor (AGR) Fuel Development and Qualification Program will be irradiating up to nine low enriched uranium (LEU) tri-isotopic (TRISO) particle fuel (in compact form) experiments in the Advanced Test Reactor (ATR) located at the Idaho National Laboratory (INL). The ATR has a long history of irradiation testing in support of reactor development and the INL has been designated as the United States Department of Energy’s lead laboratory for nuclear energy development. These irradiations and fuel development are being accomplished to support development of the next generation reactors in the United States, and the irradiations will be completed over the next five to six years to support demonstration and qualification of new TRISO coated particle fuel for use in high temperature gas reactors. The goals of the irradiation experiments are to provide irradiation performance data to support fuel process development, to qualify fuel for normal operating conditions, to support development and validation of fuel performance and fission product transport models and codes, and to provide irradiated fuel and materials for post irradiation examination (PIE) and safety testing. The experiments, which will each consist of multiple separate capsules, will be irradiated in an inert sweep gas atmosphere with individual on-line temperature monitoring and control of each capsule. The sweep gas will also have on-line fission product monitoring on its effluent to track performance of the fuel in each individual capsule during irradiation. The first experiment (designated AGR-1) started irradiation in December 2006 and completed a very successful irradiation in early November 2009. The second experiment (AGR-2) is currently being fabricated and assembled for insertion in the ATR in the early to mid calendar 2010. The design of test trains, the support systems and the fission product monitoring system used to monitor and control the experiment during irradiation will be discussed. In addition, the purpose and differences between the first two experiments will be compared, and updated information on the design and status of AGR-2 is provided. The preliminary irradiation results for the AGR-1 experiment are also presented.

On-line measurement data of wastewater systems via WAP mobile phones

2003 ◽  
Vol 47 (2) ◽  
pp. 205-211
Author(s):  
J. Alex ◽  
U. Jumar ◽  
M. Schütze
Keyword(s):  
Mobile Phones ◽  
Remote Monitoring ◽  
Measurement Data ◽  
Internet Technologies ◽  
Line Measurement ◽  
Spatially Distributed ◽  
Standard Application ◽  
Wastewater Systems ◽  
On Line ◽  
Plant Data

In order to support the operation of wastewater systems a system was developed which allows us to access plant data by standard mobile devices such as WAP mobile phones. This system is suited to complement the standard application of alarm and message systems based for example on SMS or pager services. This technology provides useful options for mobile remote monitoring and remote control of automated plants. This technology is particularly appropriate for the use in remote facilities where no staff is available. The technology has been implemented succesfully and shows how standard IT and Internet technologies can be utilised to support the operation of spatially distributed plants with reasonable effort. Two implementations are presented which access plant data via WAP mobile phones and via mobile pocket PCs. First application experiences are presented.

Monitoring and Improving Coal-Fired Power Plants Using the Input/Loss Method: Part IV

2004 ◽  
Author(s):  
Fred D. Lang
Keyword(s):  
Error Analysis ◽  
Power Plants ◽  
Heat Rate ◽  
Calorific Value ◽  
Mineral Matter ◽  
Fuel Flow ◽  
Direct Measurements ◽  
On Line ◽  
Plant Data ◽  
Loss Method

The Input/Loss Method is a unique process which allows for complete thermal understanding of a power plant through explicit determinations of fuel chemistry including fuel water and mineral matter, fuel heating (calorific) value, As-Fired fuel flow, effluent flow, boiler efficiency and system heat rate. Input consists of routine plant data and any parameter which effects system stoichiometrics, including: Stack CO2, Boiler or Stack O2, and, generally, Stack H2O. It is intended for on-line monitoring of coal-fired systems; effluent flow is not measured, plant indicated fuel flow is typically used only for comparison to the computed. The base technology of the Input/Loss Method was documented in companion ASME papers: Parts I, II and III (IJPGC 1998-Pwr-33, IJPGC 1999-Pwr-34 and IJPGC 2000-15079/CD). The Input/Loss Method is protected by US and foreign patents (1994–2004). This Part IV presents details of the Method’s ability to correct any data which effects system stoichiometrics, data obtained either by direct measurements or by assumptions, using multi-dimensional minimization techniques. This is termed the Error Analysis feature of the Input/Loss Method. Addressing errors in combustion effluent measurements is of critical importance for any practical on-line monitoring of a coal-fired unit in which fuel chemistry is being computed. It is based, in part, on an “L Factor” which has been proven to be remarkably constant for a given source of coal; and, indeed, even constant for entire Ranks. The Error Analysis feature assures that every computed fuel chemistry is the most applicable for a given set of system stoichiometrics and effluents. In addition, this paper presents comparisons of computed heating values to grab samples obtained from train deliveries. Such comparisons would not be possible without the Error Analysis.

Digital Compressor Analytics

2018 ◽  
Author(s):  
Martin Bakken ◽  
Erling Lunde ◽  
Lars E. Bakken
Keyword(s):  
Dynamic Model ◽  
Performance Monitoring ◽  
Rotating Stall ◽  
Soft Sensors ◽  
Laboratory Setup ◽  
Transient Disturbances ◽  
On Line ◽  
Plant Data ◽  
And Performance ◽  
Production Losses

Norwegian gas export is a high value business, where small and transient disturbances may cause substantial production losses. Process experience has shown that the compressor system may suffer considerably owing to surge and rotating stall in situations where the compressor is forced to trip. One of the main challenges concerns analysis of the actual trip trajectory to validate whether the compressor has entered the unstable area of the performance characteristics. This type of analysis is paramount with regard to compressor operation and tuning of the compressor safety system. Recent advances in data analytics and digitalization capabilities give promise of new ways to handle and analyse such challenges. The current work presents data from a real compressor trip. The investigation reveals that plant data alone may not be sufficient for analysis of the trip trajectory. Hence, the trip scenario was analysed in light of experimental data, fan law principles and utilization of a detailed dynamic model. The results reveal that utilization of a dynamic model gives fruitful insight into the compressor system dynamics during a trip. These findings form a basis for future digitalization of the plant. This idea will be developed into the specification of a concept called a Digital Compressor. The digital compressor may run in off-line or on-line mode with the aim of providing: high resolution estimates (soft sensors) for non-measured or inaccurate process variables; or identification of process parameters and characteristics, such as gas density. Use cases include: off-line “what happened” analysis; identifying the minimal viable instrumentation; on-line advanced condition and performance monitoring. A digital compressor laboratory setup will be introduced, containing both a dynamic simulation system as well as a complete gas compressor rig — with all necessary computational and communication infrastructure.

Spread Spectrum Time Domain Reflectrometry Applied to Electrical Systems in Nuclear Power Plants

2010 ◽  
Author(s):  
Gary M. Sandquist ◽  
Carl J. Sandquist
Keyword(s):  
Time Domain ◽  
Integrated Circuit ◽  
Spread Spectrum ◽  
Power Plants ◽  
Short Circuit ◽  
Time Domain Reflectometry ◽  
Nuclear Plant ◽  
Current Time ◽  
Electrical Systems ◽  
On Line

A recently developed technique “Spread Spectrum Time Domain Reflectometry” (SSTDR), and supporting test devices will be adapted and tested to monitor and diagnose nuclear plant electrical systems. Current time domain reflectometry methods cannot detect or locate small faults after arc fault events, because their impedance discontinuity is too small and transient to create a measurable reflection. However, on-line, unobtrusive SSTDR can detect and locate arc and other electrical faults when the (∼msec) short circuit returns a strong reflected signal. These observations have led to development of SSTDR. If SSTDR can be successfully adapted to present and future nuclear plant electrical systems, it will be possible to monitor, on-line, the integrity of the electrical system continuously and with only minor equipment modification and no consequential safety issues. An integrated circuit (IC) is under development at the University of Utah for applications in the aircraft industry that will be adapted and used for this proposed development.

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