Analyzing data

Are the measures satisfactory and have they resulted in more efficient energy consumption within the organization? Or do they need to be modified or supplemented? The measures taken must ultimately be expressed in concrete figures. Only then can you assess whether the results satisfy the objectives.

Analyzing data is a difficult task. General conclusions can often be drawn, but if you want detailed insight into which measure has had which effect on the energy consumption, you have no choice but to work with statistics. Statistical calculations take time but can also render improved insight.

To make sure you are comparing similar data, you need not only the recorded measurement data but also the data you have collected regarding the measurements. The energy consumption as measured will often need to be corrected for significant changes, such as putting new machines or buildings into operation, malfunctions, or climate factors. Thus it is extremely important to have an accurate reference value with which a comparison can be made. For the BESS project, the reference value is the production and energy consumption for the year2004. Changes in the energy efficiency are compared to this reference.