TY - JOUR
T1 - A performance study of PEMS applied to the Hsinta power station of Taipower
AU - Chien, T. W.
AU - Chu, H.
AU - Hsu, W. C.
AU - Tu, Y. Y.
AU - Tsai, H. S.
AU - Chen, K. Y.
N1 - Funding Information:
This project was funded by Taipower Company and technically supported by the technicians of Hsinta power station.
PY - 2005/1
Y1 - 2005/1
N2 - Predictive emission monitoring systems (PEMS) have been shown to be a promising technology for calculating the emissions from gas-fired stationary sources. One of the first demonstration PEMS in Taiwan was installed and operated successfully at the Hsinta power plant of the Taiwan Power Company (Taipower) in 2000. To improve the accuracy of this PEMS model, further studies were conducted at the same combined cycle gas turbine (CCGT) unit #1 of the Hsinta power plant. To optimize the NO X PEMS model, several functions were progressively developed including a log model, a one-level linear model, a three-level linear model, a 15-variable linear model, and a 15-variable with start-up mode model. The latter gave the relative accuracies (RA) and correlation coefficients between PEMS and a continuous emission monitoring system (CEMS) in the range of 3.38-14.77% and 0.955-0.989, respectively, which fulfill the criteria of the USEPA draft on PEMS performance specifications. Similarly, this model demonstrated RAs for low, medium, high level, and a three-level average less than 20% which meet CEMS requirements set out by Taiwan EPA.
AB - Predictive emission monitoring systems (PEMS) have been shown to be a promising technology for calculating the emissions from gas-fired stationary sources. One of the first demonstration PEMS in Taiwan was installed and operated successfully at the Hsinta power plant of the Taiwan Power Company (Taipower) in 2000. To improve the accuracy of this PEMS model, further studies were conducted at the same combined cycle gas turbine (CCGT) unit #1 of the Hsinta power plant. To optimize the NO X PEMS model, several functions were progressively developed including a log model, a one-level linear model, a three-level linear model, a 15-variable linear model, and a 15-variable with start-up mode model. The latter gave the relative accuracies (RA) and correlation coefficients between PEMS and a continuous emission monitoring system (CEMS) in the range of 3.38-14.77% and 0.955-0.989, respectively, which fulfill the criteria of the USEPA draft on PEMS performance specifications. Similarly, this model demonstrated RAs for low, medium, high level, and a three-level average less than 20% which meet CEMS requirements set out by Taiwan EPA.
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U2 - 10.1016/j.atmosenv.2004.09.062
DO - 10.1016/j.atmosenv.2004.09.062
M3 - Article
AN - SCOPUS:10344246577
SN - 1352-2310
VL - 39
SP - 223
EP - 230
JO - Atmospheric Environment
JF - Atmospheric Environment
IS - 2
ER -