DocumentCode :
1755665
Title :
Emission mitigation with short-term wind statistics
Author :
Xian Liu
Author_Institution :
Dept. of Syst. Eng., Univ. of Arkansas at Little Rock, Little Rock, AR, USA
Volume :
8
Issue :
5
fYear :
2014
fDate :
41821
Firstpage :
522
Lastpage :
528
Abstract :
In electricity generation, one of the direct benefits of exploiting wind energy is reducing the atmospheric emissions due to using conventional fuels. An emission mitigation model for oxides of nitrogen has been developed with short-term wind statistics, based on the Beta distribution. The probability infeasibility of random wind behaviour is taken into account. An optimisation model, based on economic dispatch models, is developed to minimise the impact caused by the oxides of nitrogen emissions.
Keywords :
air pollution control; nitrogen compounds; optimisation; power generation dispatch; power generation economics; random processes; statistical distributions; wind power; Beta distribution; NOx; atmospheric emission reduction; economic dispatch model; electricity generation; emission mitigation model; optimisation model; probability; random wind behaviour; wind energy; wind statistics;
fLanguage :
English
Journal_Title :
Renewable Power Generation, IET
Publisher :
iet
ISSN :
1752-1416
Type :
jour
DOI :
10.1049/iet-rpg.2012.0310
Filename :
6852017
Link To Document :
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