Pollutants emission evaluation by Monte Carlo simulation

This paper presents a Monte Carlo simulation method of CO₂ emission pollutants of a generation system that combines the use of an auxiliary variable with optimum stratified sampling. This design seeks to enhance the precision of generation system CO₂ emission pollutants estimation at a reduced computation time. The techniques included are optimum stratified sampling and proportional estimate. The optimum stratification rule aims to remove any judgmental input and to render the stratification process entirely mechanistic. The estimator, given by proportional statistics of the sample, can avoid identification of the regression model and thus save computation time. Hence, the effectiveness on precision improvement is demonstrated in this paper