3.Energy Consumption – Variables

This Component concerns the energy consumption in a public building infrastructure and the variables that determine it. It contributes to the quantification of variables affecting the energy consumption of all public transport infrastructures. The variables should be able to highlight trends and deviations. In order to determine whether the choice is consistent, this should be examined over time and show whether it affects energy consumption trends in a typical x-y diagram. Once trends are identified, it should be assessed whether the correlation is significant. In this scope, linear regression can be used. The standard equation derived from this correlation process takes the form:

Y = mX + c

Where, m is the straight line’s slope, and c the intersection on the Y-axis and corresponds to the energy consumption for a zero value of the variable. If correlation is confirmed, then the variable is relative and can be used to model the Energy Indicators. Such Variables may be, the Heating Degree Days (HDD) and the Cooling Degree Days (CDD), the hours of sunshine, the number of users or visitors, etc.