Performance Evaluation and Improving in the Case of Structural Models with Thermal Compression Chiller

Procedure for determining the performance indicators is similar to that described in Sect. 7.2. Admitting the same values for the overall efficiency of CHP unit and of additional boiler as in Sect. 7.2, and using data from Table 32 for monthly energy specific consumption of the mCCHP system in the case of cooling with thermal compression chillers, and from Table 6 for monthly specific power and heat pro­duction of the panels and building, we can determine the energy production of the CHP and backup boiler. The results of the energy production of the mCCHP system with thermal compression chiller are shown in the Table 36.

The power and heat production represented in the graphic (Figs. 39 and 40), depending on the number of functioning hours of the system in a year, allows the analysis of excessive electrical and thermal energy produced. The figures show the useful specific energies produced by the system and excessive energy.

The performance indicators of the system determinate for this case, indicate PES = 81 % and EFF = 66 % of the whole CCHP system.

Table 36 Energy production of the mCCHP system with thermal compression chiller

Month

Energy specific consumption of the mCCHP system

Specific power and heat production of the PV and ST panels

Specific power and heat production of the CHP unit

Specific heat production of the boiler

(kWh/m2)

(kWh/m2)

ePV

(kWh/m2)

qTP

(kWh/m2)

ecg

(kWh/m2)

qcg

(kWh/m2)

qad

(kWh/m2)

January

3.33

15.94

1.24

4.16

2.09

6.26

5.52

February

3.33

13.77

1.76

5.90

1.57

4.71

3.16

March

3.33

10.94

2.91

9.73

0.42

1.27

0.00

April

3.33

6.76

4.04

13.53

0.00

0.00

0.00

May

3.33

5.56

5.02

16.81

0.00

0.00

0.00

June

3.33

6.08

5.47

18.32

0.00

0.00

0.00

July

3.33

7.09

5.54

18.56

0.00

0.00

0.00

August

3.33

7.09

4.86

16.27

0.00

0.00

0.00

September

3.33

5.16

3.59

12.02

0.00

0.00

0.00

October

3.33

6.79

2.51

8.40

0.82

2.46

0.00

November

3.33

10.63

1.34

4.49

1.99

5.97

0.17

December

3.33

14.21

1.01

3.37

2.32

6.97

3.87

Total

40

110

39.26

131.57

9.22

27.65

12.71

image123
Increasing the performance indicators of the system is achieved by analyzing the specific energy production of the system components and through actions to reduce losses, but especially to reduce the excess energy produced.

To find the concrete actions that could lead to performance improving, two cases will be considered, namely case of the structural model type off-grid and case of the structural model type on-grid.

Updated: September 23, 2015 — 4:50 am