Due to the presence of autocorrelation between sequentially measured nitrog
en oxide (NOx) concentrations in stack gas from portland cement kilns, the
determination of the average emission rates and the uncertainty of the aver
age has been improperly calculated by the industry and regulatory agencies.
Documentation of permit compliance, establishment of permit levels, and th
e development and testing of control techniques for reducing NOx emissions
at specific cement plants requires accurate and precise statistical estimat
es of parameters such as means, standard deviations, and variances. Usual s
tatistical formulas such as for the variance of the sample mean only apply
if sequential measurements of NOx emissions are independent. Significant au
tocorrelation of NOx emission measurements revealed that NOx concentration
values measured by continuous emission monitors are not independent but can
be represented by an autoregressive, moving average (ARMA) time series. Th
ree orders of time-variability of NOx emission rates were determined from e
xamination of continuous emission measurements from several cement kilns. L
ong-term variations are related to changes in process control, feed composi
tion, fuel composition, and types of product produced and are reflected by
nonperiodic drift in the time series. Intermediate-term variations result f
rom changes in process control and operator technique. Very short-term vari
ations, which are not normally visible due to the averaging process applied
to data collection, are related to the dynamics of the flame. Autocorrelat
ion effects within the emission rates extend over a period of 8-10 h. The h
igh levels of autocorrelation observed between sequential readings result i
n underestimating the variance of the average emission rate unless autocorr
elation effects are considered. Although thousands of NOx measurements may
be recorded, autocorrelation of sequential measurements implies that many o
f them are redundant.