Control of an expanded drying section of a paper machine
View Patent ↗In order to achieve an improved or optimized operation mode of an “expanded drying section” of a paper machine—having the “actual” drying section, separated, if applicable, into pre-drying and post-drying sections with a size press located therebetween, a steam and condensate system, an exhaust air heat recovery system, a wet press and the white water—a model that includes the above system components is proposed, with which mass and energy balances for the system components as well as the specific energy consumption of the drying section are calculated, based on values for parameters relevant for the drying process.
1. A method for controlling at least one part of a paper machine comprising an online model of the following plant units: a drying section, a heat recovery system, a steam and condensate system, wherein the method comprises:
drawing a distinction in the online model between the following four material streams:
moist paper,
moist air,
steam and condensate mixture of substantially pure water, and
process water with different glycol contents,
calculating, in the online model, a mass and energy balance for all the material streams in each of;
the drying section,
the heat recovery system, and
the steam and condensate system,
calculating a specific energy consumption from the mass and energy balances, and
displaying at least one of the mass and energy balances and the specific energy consumption.
2. The method according to claim 1 , wherein values are calculated:
for the moist paper material stream in relation to the parameters comprising:
temperature,
mass flow,
absolute humidity, and
relative humidity;
for the moist air material stream in relation to the parameters comprising:
temperature,
volume flow,
mass flow,
energy flow,
absolute humidity,
relative humidity, and
dew point;
for the steam and condensate material stream in relation to the parameters comprising:
temperature,
pressure,
percentage of steam,
mass flow, and
energy flow; and
for the process water material stream in relation to the parameters comprising:
temperature,
mass flow, and
energy flow.
3. The method according to claim 1 , wherein
a computed value of at least one parameter in the online model is assigned to the measured value from an associated sensor and
the online model is adapted by means of a comparison between computed value and measured value.
4. The method according to claim 1 , comprising:
modeling paper machine-specific influences on the drying of a paper web of at least one of the parameters comprising:
temperature and humidity of process feed air,
temperature and humidity of process exhaust air,
white water temperature,
machine speed,
steam pressures in main steam group, and
differential pressures relating to secondary steam groups, and calculating set points for at least one of the parameters.
5. The method according to claim 1 , wherein the value of at least one parameter is fixed and, for the parameters the values of which are not fixed, set points are determined by means of an optimization algorithm, in particular to optimize a weighted mean between specific energy consumption and throughput.
6. The method according to claim 1 , wherein for at least one of the parameters a value range is predefined, within which a predefinabie number of values is fixed successively, and for the parameters the values of which are not fixed, for each of the values within the value range, in each case set points are determined by means of an algorithm in order to optimize a weighted mean between specific energy consumption and throughput.
7. The method according to claim 4 , wherein the set points are calculated at regular time intervals or upon a request from a plant manager.
8. The method according to claim 4 , wherein at least one set point is automatically predefined to an actuating element assigned to the appropriate parameter or an associated control device of a DCS (“Distributed Control System”) of the paper machine.
9. The method according to claim 4 , wherein a variation over time of at least one set point is calculated with the aid of a model-predictive optimization algorithm.
10. The method according to claim 4 , comprising:
at least one of;
generating plant limits or parameter value limits from calculated variables or variables derived from the online model,
fixedly predefining plant limits or parameter value limits, and
predefining plant limits or parameter value limits by a plant manager, and
taking the plant limits or parameter value limits into account when calculating a set point.
11. The method according to claim 1 , wherein at least one sensor assigned to a parameter measures the parameter value and wherein, in the event of a deviation of the measured value from the computed value of the parameter, a warning signal is output.
12. A model-based controller for controlling at least one part of a paper machine comprising an online model of the following plant units: a drying section, a heat recovery system, a steam and condensate system, wherein the model based controller is operable:
to draw a distinction in the online model between the following four material streams:
moist paper,
moist air,
steam and condensate mixture of substantially pure water, and
process water with different glycol contents,
to calculate, in the online model, a mass and energy balance for all the material streams in each of:
the drying section,
the heat recovery system, and
the steam and condensate system,
to calculate a specific energy consumption from the mass and energy balances and
to display at least one of the mass and energy balances and the specific energy consumption.
13. A paper machine having at least one controller according to claim 12 .
14. A computer program product comprising a non-transitory computer readable medium storing instructions which when executed on a computer:
provide for an online model of the following plant units: a drying section, a heat recovery system, a steam and condensate system, and
perform the steps of
drawing a distinction in the online model between the following four material streams:
moist paper,
moist air,
steam and condensate mixture of substantially pure water, and
process water with different glycol contents,
calculating, in the online model, a mass and energy balance for ail the material streams in each of:
the drying section,
the heat recovery system, and
the steam and condensate system,
calculating a specific energy consumption from the mass and energy balances and
displaying at least one of the mass and energy balances and the specific energy consumption.
15. The model based controller according to claim 12 , wherein values are calculated:
for the moist paper material stream in relation to the parameters comprising:
temperature,
mass flow,
absolute humidity, and
relative humidity;
for the moist air material stream in relation to the parameters comprising:
temperature,
volume flow,
mass flow,
energy flow,
absolute humidity,
relative humidity, and
dew point;
for the steam and condensate material stream in relation to the parameters comprising:
temperature,
pressure,
percentage of steam,
mass flow, and
energy flow; and
for the process water material stream in relation to the parameters comprising:
temperature,
mass flow, and
energy flow.
16. The model based controller according to claim 12 , wherein
a computed value of at least one parameter in the online model is assigned to the measured value from an associated sensor and
the online model is adapted by means of a comparison between computed value and measured value.
17. The model based controller according to claim 12 , wherein the computer program product is further executable to:
model paper machine-specific influences on the drying of a paper web of at least one of the parameters comprising:
temperature and humidity of process feed air,
temperature and humidity of process exhaust air,
white water temperature,
machine speed,
steam pressures in main steam groups, and
differential pressures relating to secondary steam groups, and calculate set points for at least one of the parameters.
18. The model based controller according to claim 12 , wherein the value of at least one parameter is fixed and, for the parameters the values of which are not fixed, set points are determined by means of an optimization algorithm, in particular to optimize a weighted mean between specific energy consumption and throughput.
19. The model based controller according to claim 12 , wherein for at least one of the parameters a value range is predefined, within which a predefinable number of values is fixed successively, and for the parameters the values of which are not fixed, for each of the values within the value range, in each case set points are determined by means of an algorithm in order to optimize a weighted mean between specific energy consumption and throughput.
20. The model based controller according to claim 17 , wherein the set points are calculated at regular time intervals or upon a request from a plant manager.