scholarly journals Seaweed ingress of cooling water intakes with predictions for Torness power station

2021 ◽  
Author(s):  
Nikolaos Spanakis ◽  
Peter K. Stansby ◽  
Benedict D. Rogers ◽  
Pietro Bernardara
Keyword(s):  
Nuclear Power ◽  
Narrow Range ◽  
Cooling Water ◽  
Power Station ◽  
Threshold Velocity ◽  
Power Stations ◽  
Sea Bed ◽  
Local Measurements ◽  
Induced Currents ◽  
Wave Induced

AbstractSeaweed ingress into the cooling water intakes of nuclear power stations has caused several disruptions to electricity supply. Seaweed is transported by tidal and wave-induced currents after dislodgement from the sea bed following stormy conditions but ingress will be shown to be not only determined by wave conditions. An integrated model system has been developed to predict such ingress and applied at the Torness power station in Scotland where the mass of seaweed recovered was measured for some ingress cases. Prior to each case, seaweed is assumed initially to be distributed in areas surveyed within the surrounding coastal domain with a mass per unit area based on local measurements. Criteria for dislodgement are based on near-bed velocity. Six cases where the mass of ingress was measured and two cases with no ingress have been modelled and predicted by adjusting a dislodgement factor (a multiplier on the threshold velocity) within a relatively narrow range.

scholarly journals MODEL HARBOUR SEICHING COMPARED TO PROTOTYPE DATA

1984 ◽  
Vol 1 (19) ◽  
pp. 57
Author(s):  
W.A.M. Botes ◽  
K.S. Russell ◽  
P. Huizinga
Keyword(s):  
South African ◽  
Nuclear Power ◽  
Cooling Water ◽  
Long Waves ◽  
Power Station ◽  
The West ◽  
Pressure System ◽  
Long Wave ◽  
Low Pressure System ◽  
Harbour Resonance

Since 1978 a finite-difference numerical model based on that developed by Leendertse and adapted for resonance studies (Russell and Huizinga, 1978) has been applied to investigate harbour resonance in Table Bay Harbour and several other South African ports. During April 1981 three long-wave recorders were installed in the cooling water intake basin of the Koeberg Nuclear Power Station to determine the occurrence and magnitude of the long waves and to measure the corresponding response of the basin. Koeberg is situated on the west coast of South Africa, 30 km north of Cape Town and is exposed to the approaching cyclonic weather systems which experience has shown to be associated with the occurrence of long waves. An example of an approaching low pressure system with the location of Koeberg is shown in Figure 1.

Field Observation of Tide-Induced Loading Upon Undersea Tunnel

2012 ◽  
Author(s):  
Nan Chen ◽  
Guan-lin Ye ◽  
Jin-jian Chen ◽  
Xiao-he Xia
Keyword(s):  
Linear Relation ◽  
Nuclear Power ◽  
Cooling Water ◽  
Earth Pressure ◽  
Tidal Height ◽  
Tidal Level ◽  
Pressure Transducers ◽  
Power Stations ◽  
Earth Pressures ◽  
Type Pressure

Many shallow undersea tunnels have been built to circulate the cooling water for the thermal or nuclear power stations in recent years. In current study, a field monitoring of tide-influenced earth pressure on the tunnel was carried out by using the pad type pressure transducers. The variation of tidal level was also recorded carefully. The measured results of earth pressures and the tidal height were analyzed qualitatively and quantitatively. It can be found that there is a linear relation between the variation of load and tidal height. The computed values of the loadings based on tunnel pressure theory are almost the same with measurements.

scholarly journals Monitoring of Fine-Scale Warm Drain-Off Water from Nuclear Power Stations in the Daya Bay Based on Landsat 8 Data

2020 ◽  
Vol 12 (4) ◽  
pp. 627
Author(s):  
Mengdi Liu ◽  
Xiaobin Yin ◽  
Qing Xu ◽  
Yuxiang Chen ◽  
Bowen Wang
Keyword(s):  
Surface Temperature ◽  
Nuclear Power Station ◽  
Nuclear Power ◽  
Flood Tide ◽  
Sea Surface ◽  
Daya Bay ◽  
Landsat 8 ◽  
Power Station ◽  
Water Flows ◽  
Power Stations

Monitoring the drain-off water from nuclear power stations by high-resolution remote sensing satellites is of great significance for ensuring the safe operation of nuclear power stations and monitoring environmental changes. In order to select the optimal algorithm for Landsat 8 Thermal Infrared Sensor (TIRS) data to monitor warm drain-off water from the Daya Bay Nuclear Power Station (DNPS) and the Ling Ao Nuclear Power Station (LNPS) located on the southern coast of China, this study applies the edge detection method to remove stripes and produces estimates of four Sea Surface Temperature (SST) inversion methods, the Radiation Transfer Equation Method (RTM), the Single Channel algorithm (SC), the Mono Window algorithm (MW) and the Split Window algorithm (SW), using the buoy and Minimum Orbit Intersection Distances (MOIDS) SST data. Among the four algorithms, the SST from the SW algorithm is the most consistent with the buoy, the MODIS SST, the ERA-Interim and the Optimum Interpolation Sea Surface Temperature (OISST). Based on the SST retrieved from the SW algorithm, the tidal currents calculated by the Finite-Volume Coastal Ocean Model (FVCOM) and winds from ERA-Interim, the distribution of the warm drain-off from the two nuclear power stations is analyzed. First, warm drain-off water is mainly distributed in a fan-shaped area from the two nuclear power stations to the center of the Daya Bay. The SST of the warm drain-off is about 1–4 °C higher than the surrounding water and exceeds 6 °C at the drain-off outfall. Second, the tide determines the shape and distribution characteristics of the warm drain-off area. The warm drain-off water flows to the northeast during the flood tide. During the ebb tide, the warm drain-off water flows toward the southwest direction as the tide flows toward the bay mouth, forming a fan-shaped area. Moreover, the temperature increase intensity in the combined discharge channel during the flood tide is lower than that during the ebb tide, and the low temperature rising area during the flood tide is smaller than that during the ebb tide.

Estimation About Amounts of Radioactive Wastes From Fukushima Daiichi Nuclear Power Station

2016 ◽  
Author(s):  
Taichi Sakai ◽  
Shunichi Suzuki ◽  
Koji Okamoto
Keyword(s):  
Migration Rate ◽  
Nuclear Power ◽  
Cooling Water ◽  
Radioactive Wastes ◽  
Power Station ◽  
Current Standard ◽  
Migration Rates ◽  
Elapsed Time ◽  
Fukushima Daiichi ◽  
Almost All

In this research, the amounts of the radioactive wastes generated by the secondary wastewater treatment was focused on. In this paper, at first, cooling water circulating in the plant and the facilities which are removing radionuclides were modeled and how the radionuclides migrate with elapsed time was formulated. Then, the analytic value was fitted to the measured value to compute undetermined coefficients of the formula by setting a migration rate of these nuclides leaching from fuel debris as the parameter for this calculation. Secondly, based on the above calculated inventory, the concentration of those nuclides per vessel was estimated and classified, supposing that the current standard of waste classification for disposal in the normal decommissioning can be applied even for this accident. In this case, the stabilization processing of wastes inside the vessels was not taken into consideration, and these were presumed to be restored directly. By this fitting, the results show that the migration rates of Cs-137 and Cs-134 are 24.4 TBq / day and 10.5 TBq / day. And the classification results indicate that the concentrations of almost all vessels are classified as the equivalent of pit disposal or trench disposal group.

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