Method and apparatus for simulating and optimizing a plant model

• US 6,041,263 A
• Filed: 10/01/1997
• Issued: 03/21/2000
• Est. Priority Date: 10/01/1996
• Status: Expired due to Term

• Current Assignee: Aspentech Corporation
• Original Assignee: Aspen Technology (Telefonaktiebolaget LM Ericsson)
• Inventors: Boys, Ian, Boston, Joseph F.
• Primary Examiner(s): Grant, William
• Assistant Examiner(s): Calcano, Ivan
• Application Number:
  US08/997,056
• Time in Patent Office: 902 Days
• Field of Search: 434/69, 364/152, 364/578, 364/528.01, 364/149, 364/150, 364/151, 700/1, 700/2, 700/5, 700/60, 700/61, 700/62, 700/121, 700/32, 709/213
• US Class Current: 700/32
• CPC Class Codes: G05B 17/02 electric

Abstract

The present invention is directed to a method for simulating and optimizing a plant model. The plant model having a multiplicity of equipment models for a desired processing plant and a multiplicity of local property models for the material components within the plant includes providing a set of initial values for each property model in a data storage area. A first set of coefficients in each property model is determined. A set of equations representing the equipment models and property models, wherein the property models having a complementarity formulation, are executed simultaneously by the digital processor by using the first set of coefficients to determine a second set of coefficients in each property model. The second set of coefficients are stored in the data storage area. The set of equations representing the equipment models and property models are executed simultaneously by the digital processor by utilizing the second set of coefficients from the data storage area to determine values of the processing plant model. The determined values of the processing plant model are stored in the data storage area. The method can also be used for simulating a dynamic plant model.

Claims

1. In a digital processor, a method for simulating and optimizing a plant model, the plant model having a multiplicity of equipment models for a desired processing plant and a multiplicity of local property models for the material components within the plant, comprising the steps of:

a) providing a set of initial values for each unknown variable in the plant model in a data storage area;

b) determining by the digital processor a first set of coefficients in each local property model based on the set of initial values;

c) storing the coefficients in the data storage area;

d) executing simultaneously, in an outer level routine of a simulation routine, by the digital processor, a single, unchanging set of equations representing the equipment models and local property models, wherein said single set of equations is based upon a calculation of integration over time and includes a complementarity flash formulation, and wherein said single set of equations is simultaneously valid in all regions of a solution regardless of the state of the solution, by using the first set of coefficients to determine a second set of values for the plant model;

e) storing the second set of values for the plant model in the data storage area;

f) determining by the digital processor a second set of coefficients in each set of local property model; and

g) storing the second set of coefficients in the data storage area.

2. The method of claim 1 wherein the steps d through g are repeated until the change in the values of the coefficients in the local property models is within a predetermined tolerance.

3. The method of claim 1 wherein the initial values include pressure, temperature and composition.

4. In a digital processor, a method for simulating and optimizing a plant model, the plant model having a multiplicity of equipment models for a desired processing plant and a multiplicity of local property models for the material components within the plant, comprising the steps of:

a) providing a set of initial values for each unknown variable in the plant model in a data storage area;

b) determining by the digital processor a first set of coefficients in each local property model based on the set of initial values;

c) storing the coefficients in the data storage area; and

d) executing simultaneously, in an outer level routine of a simulation routine, by the digital processor, a single, unchanging set of equations representing the equipment models and local property models, wherein said single set of equations is based upon a calculation of integration over time and includes a complementarity flash formulation, and wherein said single set of equations is simultaneously valid in all regions of a solution regardless of the state of the solution, by using the first set of coefficients to determine a second set of values for the plant model.

5. In a digital processor, a method for simulating a dynamic plant model, the plant model having a multiplicity of equipment models for a desired processing plant and a multiplicity of local property models for the material components within the plant, comprising the steps of:

a) providing a set of initial values for each unknown variable in the dynamic plant model in a data storage area;

b) determining by the digital processor a first set of coefficients in each local property model based on the set of initial values;

c) storing the coefficients in the data storage area;

d) executing simultaneously, in an outer level routine of a simulation routine, by the digital processor, a single, unchanging set of equations representing the equipment models and local property models, wherein said single set of equations is based upon a calculation of integration over time and includes a complementarity flash formulation, and wherein said single set of equations is valid in all regions of a solution regardless of the state of the solution, by using the previous set of coefficients to integrate the plant model over an incremental time period;

e) storing the new set of values for the plant model in the data storage area;

f) determining by the digital processor a new set of coefficients in each set of local property models; and

g) storing the new set of coefficients in the data storage area; and

h) repeating steps d through g until a desired simulation time period has elapsed for simulating the dynamic plant model.