The objectives of the SAVE E project are to;


  • Identify and quantify technical, economic and social barriers for potential energy savings.
  • Analyse implementation strategies, evaluate incentives schemes, and find optimal trade-offs between efficiency improvements and additional renewable energy supply.
  • Evaluate macro-economic effects of efficiency improvements and alternative incentive schemes.

Contribute to development of methods and theory in the intersection of energy systems, behavioural economics, energy economics and stochastic programming areas. 

The main anticipated scientific results are:

  • A method for aggregating technical saving potentials and the construction of dynamic cost curves.
  • Characterization of first movers and quantification of their effect through social networks on second mover adoption of saving investments
  • Contribution of real option theory and stochastic programming in explaining how uncertainty is affecting energy saving investments in industry.
  • An extended energy system model integrating investments in energy savings.
  • Analyses of incentives, barriers and policy instruments for energy savings.
  • Development of a small macro-economic energy model for Denmark describing energy saving investments behaviour in both industry and households.


The main anticipated results for society are:

  • A decision support tool for implementing energy savings in Denmark.
  • Assessment of barriers for investments in energy savings, evaluation of policy instruments, evaluation of investments in savings versus increased renewable supply, and for energy savings suppliers improved targeting of end-users likely to implement savings.
Guidance on how to optimize energy saving initiatives to exploit peer effects through social networks