Title :
Emission mitigation with short-term wind statistics
Author_Institution :
Dept. of Syst. Eng., Univ. of Arkansas at Little Rock, Little Rock, AR, USA
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;
Journal_Title :
Renewable Power Generation, IET
DOI :
10.1049/iet-rpg.2012.0310