Effectiveness of optimum stratified sampling in Monte Carlo chronological CO{sub 2} emission pollutants of generation system modeling

Journal Article · Wed May 01 04:00:00 EDT 1996 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/59.496198· OSTI ID:264289

Huang, S R; Lin, Y W ^[1]

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1. Feng Chia Univ., Taichung (Taiwan, Province of China). Dept. of Electrical Engineering

This paper presents a combined Monte Carlo and stratified-sampling method to better estimate CO{sub 2} emissions for generation systems. This design seeks to enhance the precision of CO{sub 2} emission pollutants in generation system estimation, while reducing 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, provided 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.

• OSTI ID: 264289
• Report Number(s): CONF-950727--
• Journal Information: IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 2 Vol. 11; ISSN ITPSEG; ISSN 0885-8950
• Country of Publication: United States
• Language: English

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