Linking energy, comfort

Experts from Comfort Consulting Ltd. analysed the data on energy consumption from all the SEARCH schools and created two indexes: the building envelope index (qi) and the energy consumption index (ei). The correlation coefficients of the associations between these two indexes and the combined comfort indexes (CCI-1 and CCI-2) were very low (Table 16).

TABLE 16 Correlation coefficients of associations between the qi and ei and the CCIs

Country
 

Building envelope index (qi)
CCI-1

Energy index (ei)
CCI-2

 
CCI-1

 
CCI-2

1

0.1123

0.2166**

- 0.1734**

- 0.0838

2

0.1449***

0.0511

0.1357***

0.1429***

3

0.1304**

0.1457***

0.2360***

0.1747***

4

- 0.0310

- 0.0605

- 0.1338**

- 0.2006***

5

0.1201**

0.0998*

- 0.1288**

- 0.1122**

6

- 0.0684

- 0.0864*

0.0198

- 0.0035

7

- 0.0324

- 0.0035

- 0.0528

- 0.0173

8

-0.0393

- 0.0552

0.0179

- 0.0655

9

- 0.0230

- 0.0568

- 0.0505

- 0.0998**

10

-

-

0.0827*

- 0.1335***

p<0.05  ** p<0.01  *** p<0.001

During regression analysis it turned out that when the country variable was included in the models, countries were extremely strong determinants. It was therefore worth doing further correlation analyses, stratified by country. In some cases, the results provided higher correlation coefficients than during the overall analysis, although their interpretation needs further consideration.

 
Ministero Dell'ambiente Italian Trust Fund