scholarly journals An experiment in using RT-LOTOS for the formal specification and verification of a distributed scheduling algorithm in a nuclear power plant monitoring system

1997 ◽  
pp. 433-448 ◽  
Author(s):  
L. Andriantsiferana ◽  
J.-P. Courtiat ◽  
R. C. Oliveira ◽  
L. Picci
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Monitoring System ◽  
Formal Specification ◽  
Nuclear Power ◽  
Scheduling Algorithm ◽  
Distributed Scheduling ◽  
Formal Specification And Verification ◽  
Plant Monitoring ◽  
Specification And Verification

On-line neuro-expert monitoring system for Borssele Nuclear Power Plant

2003 ◽  
Vol 43 (1-4) ◽  
pp. 397-404 ◽  
Author(s):  
K. Nabeshima ◽  
T. Suzudo ◽  
S. Seker ◽  
E. Ayaz ◽  
B. Barutcu ◽  
...  
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Monitoring System ◽  
Nuclear Power ◽  
On Line

The Design Of A Bypassed And Inoperable Status Monitoring System For A Nuclear Power Plant

1985 ◽  
Vol PAS-104 (2) ◽  
pp. 241-248
Author(s):  
C. Bagchi ◽  
P. Gupta ◽  
P. Mandava
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Monitoring System ◽  
Nuclear Power ◽  
Status Monitoring

scholarly journals Unexpected source of Fukushima-derived radiocesium to the coastal ocean of Japan

2017 ◽  
Vol 114 (42) ◽  
pp. 11092-11096 ◽  
Author(s):  
Virginie Sanial ◽  
Ken O. Buesseler ◽  
Matthew A. Charette ◽  
Seiya Nagao
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Coastal Ocean ◽  
Public Health Issue ◽  
Fluid Exchange ◽  
Radium Isotopes ◽  
Cesium 137 ◽  
Plant Monitoring ◽  
Beach Sands

There are 440 operational nuclear reactors in the world, with approximately one-half situated along the coastline. This includes the Fukushima Dai-ichi Nuclear Power Plant (FDNPP), which experienced multiple reactor meltdowns in March 2011 followed by the release of radioactivity to the marine environment. While surface inputs to the ocean via atmospheric deposition and rivers are usually well monitored after a nuclear accident, no study has focused on subterranean pathways. During our study period, we found the highest cesium-137 (137Cs) levels (up to 23,000 Bq⋅m−3) outside of the FDNPP site not in the ocean, rivers, or potable groundwater, but in groundwater beneath sand beaches over tens of kilometers away from the FDNPP. Here, we present evidence of a previously unknown, ongoing source of Fukushima-derived 137Cs to the coastal ocean. We postulate that these beach sands were contaminated in 2011 through wave- and tide-driven exchange and sorption of highly radioactive Cs from seawater. Subsequent desorption of 137Cs and fluid exchange from the beach sands was quantified using naturally occurring radium isotopes. This estimated ocean 137Cs source (0.6 TBq⋅y−1) is of similar magnitude as the ongoing releases of 137Cs from the FDNPP site for 2013–2016, as well as the input of Fukushima-derived dissolved 137Cs via rivers. Although this ongoing source is not at present a public health issue for Japan, the release of Cs of this type and scale needs to be considered in nuclear power plant monitoring and scenarios involving future accidents.

scholarly journals PRELIMINARY DEVELOPMENT OF RADIONUCLIDES RELEASE OF INDIVIDUAL DOSE CODE PROGRAM FOR RADIATION MONITORING PURPOSES

2021 ◽  
Vol 23 (3) ◽  
pp. 91
Author(s):  
Jupiter Sitorus Pane ◽  
Pande Made Udiyani ◽  
Muhammad Budi Setiawan ◽  
Surip Widodo ◽  
I Putu Susila
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Monitoring System ◽  
Nuclear Power ◽  
Radiation Monitoring ◽  
Distribution Model ◽  
Human Being ◽  
Individual Dose ◽  
Environmental Radiation ◽  
Radiation Monitoring System

Environmental radiation monitoring is one of the important efforts in protecting society and the environment from radiation hazards, both natural and artificial. The presence of three nuclear research reactors and plans to build a nuclear power plant reactor prompted Indonesia to prepare a radiation monitoring system for safety and security (SPRKK). The goal of the study is to provide an appropriate method for developing radiation monitoring system to support the development of nuclear power plant in the near future.  For this preliminary study, the author developed a code program using Gaussian distribution model approach for predicting radionuclide release and individual dose acceptancy by human being within 16 wind directions sectors and up to 50 km distance. The model includes estimation of source term from the nuclear installation, release of radionuclides source into air following Gaussian diffusion model, some of the release deposit to the land and entering human being through inhalation, direct external exposure, and resuspension, and predicted its accepted individual dose. This model has been widely used in various code program such as SimPact and PC-Cosyma. For this study, the model will be validated using SimPact code program. The model has been successfully developed with less than 5% deviation.   Further study will be done by evaluating the model with real measuring data from research reactor installation and prepare for interfacing with real time radiation data acquisition and monitoring as part of radiation monitoring system during normal and accident condition.

scholarly journals Real-Time Nuclear Power Plant Monitoring with Adaptively Trained Neural Network

ICANN ’93 ◽  
1993 ◽  
pp. 863-863 ◽  
Author(s):  
K. Nabeshima ◽  
E. Türkcan ◽  
Ö. Ciftcioglu
Keyword(s):  
Neural Network ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Real Time ◽  
Nuclear Power ◽  
Plant Monitoring ◽  
Trained Neural Network
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