What is a LEEN network?

Increasing energy costs, resources austerity and climate change call for the readiness to change.

Innovative companies take this as a chance to increase energy efficiency and, at the same time, improve their own competitive position.

LEENs are Learning Energy Efficiency Networks that support this.

By learning from each other a multitude of companies cooperate in order to save energy in the most cost-effective way. The main starting points of the cooperation in the networks are efficiency improvements with respect to cross-cutting technologies (e.g. compressed air systems, combined heat and power systems, electrical drives).

The scientific evaluation of 30 networks in Germany identified approximately 4,000 profitable measures (average internal rate of return, IRR: about 35%; average payback period: about 3 years).

The evaluations showed that companies cooperating in networks increase their efficiency twice as fast as the German industrial average.


Best practice | Case study


Exchange of 250 lights in the production area
One-off investment: €11,500
Energy savings: 48 % p.a.
Cost savings: €7,100 p.a.
Payback: 1.6 years
Modernisation of a compressed-air system
One-off investment: €70,000
Energy savings: 9 % p.a.
Cost savings: €60,500 p.a.
Payback: 1.2 years
Modernisation of a heat exchanger
One-off investment: €42,000
Cost savings: €58,600 p.a.
Payback: 0.9 years
Heat recovery concerning a compressed-air system
One-off investment: €45,500
Cost savings: €46,600 p.a.
Payback: 1 year

More Best Practice case studies …


Companies in motion

An innovation process like that requires a management within the participating companies that involves the people in these companies. It must motivate the employees to leave the beaten tracks, giving them the possibility to bring forth their own ideas and to create solutions.

This means setting five significant signals:

  • postulating energy efficiency as a business objective
  • involving the management
  • formulating accomplishable, binding objectives and measuring energy consumption
  • determining decision routines and implementing measures
  • monitoring the success



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