8. These savings are more evident when comparing forecasted
consumption with meter readings
Compressed air forecast vs Actual consumption
0
5000
10000
15000
20000
25000
30000
Sat26/01/2013
Sat02/02/2013
Sat09/02/2013
Sat16/02/2013
Sat23/02/2013
Sat02/03/2013
Sat09/03/2013
Sat16/03/2013
Sat23/03/2013
Sat30/03/2013
Sat06/04/2013
Sat13/04/2013
Forecast consumption
Actual consumption
Linear (Actual consumption)
Energy savings
9. Mathematical model for Pseudomonas spp. at 2oc (yellow line) and
3oC (red line) using ComBase predictive models.
Mathematical modelling of bacterial growth curves
10. Mathematical model for Bacillus cereus at
5oC(yellow line) for a period of 48 hours (ComBase
predictive model).
11. Temperature Profile
0
5
10
15
20
25
30
35
40
0 10 20 30 40 50
Time (hours)
Temp(C)
A temperature profile was
built introducing noise in
the equation for
temperature function.
The temperature profile
simulates temperature abuse
on cold storage.
12. Growth curve [Y(t)=a*time^n/(b+time*n)]
0
1
2
3
4
5
6
0 10 20 30 40 50
time (hours)
Y(t)=loggrowthratio
Y-0.001
y-0.01
y-0.1
y-1
The growth curve model simulates bacteria growth for the
temperature profile at different initial log concentrations
