Presentation of the exercise

This exercise is primarily intended to illustrate how to calculate adiabatic compressions and expansions. It is centered around the study of a small capacity gas turbine, called micro-turbine. This micro-turbine is an existing machine, used for several applications, including cogeneration.

In session S46En we will give a cogeneration facility example based on this machine.

This exercise is divided into three parts:

Before starting working with Thermoptim, we strongly recommend that you study session S07En_init, which introduces all the concepts which you will be using.

(Session realized on 06/16/11 by Renaud Gicquel)

GT exercise

Opening of Thermoptim

Thermoptim

Thermoptim

Thermoptim

Thermoptim

Thermoptim

Thermoptim

Setting the model

When the simulator elements are created, Thermoptim initializes all the points with a pressure of 1 bar and a temperature of 300 K, which must then be modified according to the data of the problem you are studying.

The two steps that follow will show you how to set points and processes, then the next will remind you of the values that you should enter in Thermoptim.

Point settings

Process settings

Setting the parameters of points and processes

Set now the parameters of the various points one by one, checking that you enter the values of the temperatures known (T1, T3), as well as those of the pressures, as Thermoptim does not set them automatically. In order to do that, follow these steps:

It is not necessary to reset the point 4, since its pressure is 1 bar default and that its temperature will be recalculated later.

Set then the process’s parameters, for which default options are valid : the compression and the expansion are adiabatic, calculated with the isentropic reference, and their isentropic efficiencies are known. In order to do that, follow these steps:

The calculation of the overall balance requires to understand the notion of energy type, explained in the next step.

Choice of the energy type

Balance and synoptic view

Cycle on (T,s) chart

Cycle on (T,s) chart

Cycle on (T,s) chart

Chart-simulator interface

Cycle on (T,s) chart

Cycle on (T,s) chart

Cycle on (T,s) chart

Comparison with Carnot cycle

Comparison with an analytical perfect gas model

This session enabled you to build a simplified model of gas turbine, where the machine is traversed by air assumed to be perfect, and plot the cycle in the entropy chart.

A qualitative comparison with the Carnot cycle has allowed us to understand why the cycle efficiency is low. A further quantitative analysis will be made ​​in a later lesson (session S23En).

On this occasion, you could start learning to use Thermoptim. To master this tool, we recommend you browse its various reference manuals, available in the software documentation.

You can now compare the results obtained with an analytical solution which is possible given the assumptions made​​. The analytical solution and Thermoptim project and diagram files are provided in the attached archive.

As you can see, the model built in Thermoptim leads to exactly the same results as the analytical approach.

In the remainder of this session, you refine the model by replacing perfect air by ideal gas, so you can see the influence of the hypothesis on the fluid.

In another session (S22En), you will introduce a real combustion chamber, leading to a much more realistic model.

Modification of the perfect gas model

To replace the perfect air by air modeled as an ideal gas, we will use a feature that allows Thermoptim to simultaneously replace a substance in the set of points to which it is connected, and to update the simulator as well as the diagram editor.

Thermoptim

Balance and synoptic view

Comparison with the perfect gas model

You can now compare the results with those of the previous model (perfect gas).

The following table summarizes the results:

shaft work purchased energy efficiency T2 T4
perfect gas 162.12 582.58 0,2783 207.14 551.14
ideal gas 170.78 642.58 0.2658 205.76 590.52
perfect gas -5.07 % -9.34 % 4.70 % 0.72 % -10.95 %