Example Measurement & Verification Plan for a Super espc project

6.1 
Example M&V Plan 
for those two groups was met. For the closed office areas, the large variability in usage 
resulted in a C
v
greater than 0.5 and an initial precision of 24% with eleven samples. As a 
result, an additional eleven loggers were deployed in different closed office spaces for 
another three-week period in May 2003. With a total of 22 measurements, the achieved 
precision is less than 20% at 80% confidence as desired.
Table 3-3: Usage Group Descriptions, monitoring Points and Results 
Usage 
Group 
Number 
of 
fixtures 
# 
Circuits 
(N) 
# 
Points 
(n) 
Demand 
savings, 
(kW) 
Annual 
op. 
hours 
Energy 
savings, 
kWh 
% of 
total 
C
v
Precision 
at 80% 
confidence 
Coincidence 
1 – 4 p.m. 
24 Hour - 
Exit 69 
21 
0 
0.82 
Est. 
8,760 7,169 4% 
24 Hour - 
Misc 
30 
9 
5 1.78 
8,760 15,598 8% 0.2 7.6% 72% 
Closed 
Office 
Areas 
673 
204 
22 22.96 1,900 43,377 23% 
0.65 16.8% 
68% 
Common 
Office 
Areas 
581 
176 
11 37.39 2,800 104,343 56% 0.43 16.1% 
86% 
Conference 
Rooms 43 
13 
0 
2.75 
Est. 
1,600 4,436 2% 
Halls and 
Common 
areas 131 
37 
0 
1.56 
Est. 
3,000 4,633 2% 
Storage, 
comp. 
closets 218 
66 
0 
5.57 
Est. 
1,200 6,850 4% 
Totals 1745 
526 
38 
72.83 186,406 100% 
79% 
The weighted peak coincidence factor is used to calculate the demand cost savings from 
the demand savings. The demand reduction listed in Table 3-3 is based on a reduction in 
the connected load. However, not all of this reduction will appear in the form of reduced 
demand charges on the utility bill. The coincidence factor for each usage group represents 
the fraction of fixtures operating when the building peak demand is set and therefore 
represents that usage group’s contribution to the demand reduction seen at the utility 
meter.