Prediction of clock time hourly global radiation from daily values over Bangladesh

Dataset Summary

Description

(Abstract):  A need for predicting hourly global
radiation exists for many locations particularly in Bangladesh for which
measured values are not available and daily values have to be estimated
from sunshine data. The CPRG model has been used to predict values of
hourly Gh for Dhaka (23.770N, 90.380E), Chittagong (22.270N, 91.820E)
and Bogra (24.850N, 89.370E) for = ±7.50, ±22.50, ±37.50, ±52.50,
±67.50, ±82.50 and ±97.50 i.e., for ±1/2, ±3/2, ±5/2, ±7/2, ±9/2, ±11/2,
±13/2 hours before and after solar noon and the computed values for
different months are symmetrical about solar noon whereas for many
months experimental data show a clear asymmetry. To obtain improved
prediction, the hour angles corresponding to clock times have been used
in the model to take into account the difference between solar time and
clock time for each month for each station. Values of rG show the
morning-afternoon asymmetry and agree fairly well with experimental data
with standard deviation for different hours between 0.004 and 0.009.
The rms error is about 6% between 10:00 am and 2:00 pm.

Source Renewable Energy Research Centre
Date Released October 22nd, 2003 (10 years ago)
Date Updated Unknown
Keywords
Data
Metadata Metadata accessible through RDF/XML

Quality Metrics

Level of Review Some Review
Comment

Temporal and Spatial Coverage

Frequency
Time Period 2003

License

License Other or unspecified, see optional comment below
Comment Please cite this publication as follows: Ullah, S. M., Khadem, S. K., Ghosh, H. R., Mazumder, R. K. and Hussain, M. 2003. Prediction of clock time hourly global radiation from daily values over Bangladesh, Renewable Energy Research Center, University of Dhaka, Bangladesh. 5 p. [accessed 22 October 2003]. Available from http://swera.unep.net/
Rate this dataset
Usefulness of the metadata
Average voteYour vote

Usefulness of the dataset
Average voteYour vote
0
No votes yet
 

Ease of access
Average voteYour vote
0
No votes yet
 

Overall rating
Average voteYour vote
0
No votes yet
 

Comments

If you rate this dataset, your published comment will include your rating.