Automated Author Profile

Kemden, Nafisa

Current S-Index

1.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.4

Average Dataset Index per dataset

Total Datasets

3

Total datasets for this author

Average FAIR Score

15.4%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Wave energy potential for power generation in the Gulf of Thailand

Regional wind-wave model is the computational model which is applied from the WAve Model (WAM). The data of regional hindcast, operational WAM model, and wind data are used in the validation and calibration. Then, the Simulating Waves Nearshore (SWAN) wave model is used for the calculation of nearshore wave parameters, spectral time series and statistics. Due to the high cost of full SWAN model, utilization of the offshore WAM model results together with nearshore satellite observations is a cost-effective alternative. In the area of Gulf of Thailand (GOT), it is found from WAM and SWAN that areas of the GoT present a stable wave energy and power. Moreover, the average significant wave height is also used to preliminarily evaluate the wave power. From the previous study, it was found that the station S11 is the station with the highest significant wave height of 2.6 m. It was also found that the highest significant wave height can be found in September. As the result the suggested potential locations for wave energy are stations S7-S14. For the extreme case of typhoon Linda in 1997, the highest significant wave height is 2.71 m at S16. Moreover, the average significant wave height and wave power in September 2011 were studied. The results show a good agreement with the previous study that stations S7-S14 are the stations with high potential. However, the results of stations S11, S13, S14 seem to show the highest potential of power generation amongst all stations.

Authors

  • Kemden, Nafisa ;
  • Chaiwat Ekkawatpanit ;
  • Worachat Wannawong ;
  • Duangrudee Kositgittiwong
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.14455/jgsee.res.2014.43January 2014

Wave energy potential for power generation in the Gulf of Thailand

Regional wind-wave model is the computational model which is applied from the WAve Model (WAM). The data of regional hindcast, operational WAM model, and wind data are used in the validation and calibration. Then, the Simulating Waves Nearshore (SWAN) wave model is used for the calculation of nearshore wave parameters, spectral time series and statistics. Due to the high cost of full SWAN model, utilization of the offshore WAM model results together with nearshore satellite observations is a cost-effective alternative. In the area of Gulf of Thailand (GOT), it is found from WAM and SWAN that areas of the GoT present a stable wave energy and power. Moreover, the average significant wave height is also used to preliminarily evaluate the wave power. From the previous study, it was found that the station S11 is the station with the highest significant wave height of 2.6 m. It was also found that the highest significant wave height can be found in September. As the result the suggested potential locations for wave energy are stations S7-S14. For the extreme case of typhoon Linda in 1997, the highest significant wave height is 2.71 m at S16. Moreover, the average significant wave height and wave power in September 2011 were studied. The results show a good agreement with the previous study that stations S7-S14 are the stations with high potential. However, the results of stations S11, S13, S14 seem to show the highest potential of power generation amongst all stations.

Authors

  • Kemden, Nafisa ;
  • Chaiwat Ekkawatpanit ;
  • Worachat Wannawong ;
  • Duangrudee Kositgittiwong
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.12755/jgsee.res.2014.43January 2014

Estimate of the drainage discharge of tidally river with reverse flow due to variation of sea levels

No description available

Authors

  • Kemden, Nafisa
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.14457/kmutt.the.2013.149January 2013