EEMS Operation

Confidence - critical for success!

To actually operate EEMS means practicing a daily routine of measurement readings and analysis at each ECC. Initially, the biggest challenge is usually to recognize a connection or a cause and consequential relationship between measured performance data on the one side and actual operational events on the other and to develop an understanding of the reasons for performance variations. It is a creative process that

Box 5.10: Agreed Target & Baseline Dataset - Electricity Data Sample

Subject: Electricity Baseline data period: From: _

Table with baseline data set:

October 2000 To:_September 2001

Month

Production

Electricity

PELEC

(Lbs)

(kWh)

(kWh/Lbs)

Oct-00

686 693

21B6760

3.141

Nov-00

662321

20B9080

3.1B4

Dec-00

551 368

1764000

3.199

Jan-0B

780 993

2363400

3.026

Feb-0B

813163

2343960

2.BB3

Mar-08

869 165

242B320

2.79

Apr-0B

464 220

1BB7360

3.3BB

May-0B

576 638

1 BB1 900

3.264

Jun-0B

860 045

24BB260

2.B9

Jul-08

734 915

2 0B1 460

2.791

Aug-0B

764 023

2128680

2.7B6

Sep-0B

688 542

1992060

2.B93

Total

8 452 086

25 239 24G

Resulting average energy/production graph & equation

Electrical Consumption = 2.1422 x Products + 594423

3 000 000

2 600 000

° 1000000

500 000

Electrical Consumption = 2.1422 x Products + 594423

500 000

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