Chapter 2, Problem 2.7E

Interpretation Introduction

(a)

Interpretation:

The degree of freedom analysis for the given process is to be calculated and all the manipulated input, output, and disturbance variables are to be identified.

Concept introduction:

For chemical processes, dynamic models consisting ordinary differential equations are derived through unsteady-state conservation laws. These laws generally include mass and energy balances.

The process models generally include algebraic relationships which commence from thermodynamics, transport phenomena, chemical kinetics, and physical properties of the processes.

Degree of freedom analysis of a process model ensures that its model equations are solvable. The expression to calculate the degree of freedom is:

$N_F=N_V-N_E$   .........(1)

Here, $N_F$ is the number of degree of freedom for the process model, $N_V$ is the total number of process variables, and $N_E$ is the total number of independent equations written for the process model.

Interpretation Introduction

(b)

Interpretation:

The degree of freedom analysis for the given process is to be calculated and all the manipulated input, output, and disturbance variables are to be identified.

Concept introduction:

For chemical processes, dynamic models consisting ordinary differential equations are derived through unsteady-state conservation laws. These laws generally include mass and energy balances.

The process models generally include algebraic relationships which commence from thermodynamics, transport phenomena, chemical kinetics, and physical properties of the processes.

Degree of freedom analysis of a process model ensures that its model equations are solvable. The expression to calculate the degree of freedom is:

$N_F=N_V-N_E$   .........(1)

Here, $N_F$ is the number of degree of freedom for the process model, $N_V$ is the total number of process variables, and $N_E$ is the total number of independent equations written for the process model.