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