Finetuning for energy performance indicators and efficiency controlling

EnPI-Connect: Energy performance indicators in practice

The BMU project “EnPI-Connect Key Figures in Practice” is aimed at energy managers and controllers in companies that operate a certified energy management system and want to refine their key figures and efficiency controlling.

The project “EnPI-Connect Energy Performance Indicators in Practice” is aimed at energy managers and controllers in companies that operate certified energy management in accordance with ISO 50001 and want to refine their key figures and efficiency controlling for significant energy consumers. The basis for this is the methodology for establishing energy performance indicators that ÖKOTEC and DENEFF have developed on behalf of the German Federal Ministry for the Environment and Nuclear Safety (BMUB). A key figure methodology that shows an economical, systematic and clear way to meet the requirements of ISO 50006 and ISO 50015. Fraunhofer ISI is supporting the project in the review process.

EnPI-Connect is designed to provide guidance to companies on how:

efficiency is recorded for individual and networked plants,
real-time efficiency monitoring is set up that excludes influences from the system environment and
efficiency is evaluated in comparison with other energy consumers.

Based on the results of the previous project, an implementation plan will be developed within the scope of the project. This plan will be implemented together with energy managers from 3 selected companies from industry and commerce for the implementation of the key figures.

We record key energy consumers (plants or plant configurations with a high share of energy consumption) in our own key figures. Key figures from successive plants at the individual production steps can be networked bottom-up. Taking ISO 50006 into account, baselines are formed for the plants and the energy efficiency development is evaluated at the level of the individual plants and sections of the production steps. Environmental influences (weather conditions, etc.) that externally affect efficiency are statistically adjusted so that we can evaluate the actual savings effect of energy efficiency measures and monitor the long-term maintenance of the savings effect.