Spectroscopic
methods for measuring in-line blended gasoline have many advantages over
conventional on-line analyzers, such as very fast, very precise measurements, simultaneous
multiple parameter measurements, and very high reliability, at a reasonable cost.
Spectroscopic analysis methods in this paper refer only to FTIR, Raman, and
Magnetic Resonance Analysis.
The major
shortcomings of using spectroscopic methods or any inferential model-based parameter determination are:
·
Inaccurate
inferential model predictions of parameters of interest, e.g. gasoline octane
values,
·
Lack
of a practical, how-to guide to build simple but reasonable inferential
(chemometric) models.
·
Lack
of a simple methodology to dynamically correct the predicted parameter value of
an imperfect inferential model by comparing it with a credible value, e.g. Lab
This paper
addresses these problems with a robust solution and scheme for reliable
gasoline (or any fuel) blend property parameter prediction (chemometric) model
development method, and dynamic correction of the model parameter prediction
with Lab data.
The scheme is
based on well-known principles of inferential model-based prediction of process
stream quality in place of a real parameter measuring device, e.g. octane knock
engine. The model output is corrected periodically with Lab data to within the
ASTM reproducibility of that parameter.
The described approach
has been used since 1960’s with the advent of practical process control
computers to implement composition control without using on-line property
analyzers [1], and later to validate octane knock engines and NIR-type
spectroscopic analyzers since 1986 [2, 3], and is a derivative of tank quality
integration used in in-line blend property control since its inception in 1965
[4].
The scheme is valid for:
· * Any
fuel blending (gasoline, diesel, bunker), or any mixture of liquids
· * Any
parameter for which an inferential model can be developed, e.g. AKI, RVP, etc.
· * In-line
fuel blending scheme, either rundown blending or component tank blending
Get a copy of full paper at http://www.refautom.com/NewsDB/Robust-r.pdf
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