HERON Decision Support Tool (HERON DST)

While developing Energy Efficiency scenarios to meet certain targets, would you use a tool that minimizes deviation caused from end-users’ behavior?
Have a look here and let us know, in 10 clicks !


Software is of free disposal. Those interested to receive it should fill and submit this End User Software License Agreement at epgsec@kepa.uoa.gr with the relevant request.

The need

The efforts towards energy efficiency improvement, although a priority in decarbonisation, need to overcome significant barriers, strongly linked with the consumer behavior, in order to implement strategies necessary into energy modeling.

HERON consortium, through project activities, identified a set of barriers linked with the behavior of end-users in two sectors: Buildings (residential and tertiary) and Transport (passengers and freight). These barriers were grouped into three main categories: i) Social-Cultural-Educational, ii) Economic and iii) Institutional. Each one of the identified barriers is created by end-users behavior and has a different impact/contribution in limiting the efforts of achieving energy savings, based on the fact that energy consumers exhibit different types of behavior/preferences against the efforts for promoting EE.

The challenge

The question to be answered, for covering the need, was how to quantify the barriers in numbers with each one expressing correctly the contributions. The need to have numerical inputs for the forward-looking energy efficiency modeling underlined the importance of having such an approach that quantifies barriers’ impact.

In addition to that, the results in number should be understandable by the policy makers, in order to be able to work with the outcomes for designing effective EE policies and measures.

The implementation of the HERON developed decision support tool (HERON DST) allows the calculation of the barriers’ negative impact, created by the input the end-users behavior[1] has, on forward looking energy efficiency scenarios and clearly presents the deviation from the expected targets.

HERON DST implementation not only covers the initial definition of negative input concerning barriers of EE se targets, but also covers the capacity to examine various combinations, allowing scenario analysis inputs’ optimization.


The barriers in each sector are compared through pairs and the importance of one barrier over the other is presented by the use of 1-9 scale. At the end of this comparison, the Total Impact for each of the identified barriers occurs. The Total Impact is a numerical outcome, expressing the contribution of the concerned barrier in preventing the achievement of EE targets.

The numerical outcomes, through mathematical expressions can be incorporated into the initial developed scenarios’ inputs and HERON DST provides the deviation and diversification of the initially set targets, allowing correctional modification.

[1] concerning technologies and practices