Title: | Complexity Analysis of the Multivariate Wind Measurements: Renewable Energy Applications |
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Keywords: | Multivariate sample entropy, Multivariate empirical mode decomposition, Multivariate multiscale entropy, Complexity, Wind speed data, Long-range correlations |
Abstract: |
Energy crisis is one of the major problem for Bangladesh to eradicate
extreme poverty and achieve middle-income status. Electricity production
in Bangladesh is mostly from conventional energy sources like fossil
fuels and natural gas. Experiencing huge shortage of electricity and
realizing the future energy demand of the country, the government of
Bangladesh is going to install a nuclear power plant for the large scale
(2.4 GW) electricity production. A comparative study is conducted in
this paper to observe the levelized cost of energy scenario for several
electricity generating technologies. The present calculation is done
using the LCOE simulator. From the simulation results, it is found that
the distribution of levelized bus bar costs for the nuclear power plant
is in the range of 11.69-17.84 cents/kWh, with a most probable value of
about 14.75 cents/kWh; for coal-fired plants the corresponding values
are 15.56–19.90 cents/kWh and 17.73 cents/kWh and for the combined cycle
gas power plant the corresponding values are in the range of
15.90-17.30 cents/kWh and a most probable value of about 16.60
cents/kWh. Comparing the results from different technologies, it is
worth saying that nuclear power plant is the best option for large scale
(2.4 GW) power production for a developing country like Bangladesh. |
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