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Winter 2017 European Energy Innovation  17

                                                                              COMMUNICATION

HERON – Decision Support Tool

HERON – DST, developed by KEPA in cooperation with                EE technologies and practices and the minimization of the
App-Art, is a user-friendly software, based on an innovative      impact factors leads to optimized outcomes. Outcomes are
methodology, minimizing the negative impact of end-               available to be used as inputs to EE modelling.
users’ behavior in Energy Efficiency (EE) policy-making and
leading to the optimum combination of EE technologies and         The methodology has six steps:
practices.                                                        Step 1: Mapping, categorization and merging of behavioral

PROBLEM                                                                      barriers;
Overcome deviations in EE targets, created by behavioral          Step 2: Development of the AHP tree and matrices;
barriers demonstrated by end users.                               Step 3: Calculation of weight coefficients;
                                                                  Step 4: Definition and calculation of Impact Factors of
CONCEPT
Quantify qualitative data concerning end-user’s behavior in                  barriers;
forms capable to be incorporated into EE modeling input           Step 5: Linkage of Impact factors with input drivers;
drivers.                                                          Step 6: Incorporation of the Total Impact factors in the

METHODOLOGY AND SOFTWARE                                                     forward-looking EE modelling.
The developed innovative methodology, based on Analytical
Hierarchy Process (AHP), led to the HERON – DST (Mavrakis         MAIN CHARACTERISTICS
D., Konidari P., 2017)1 which: i) allows the calculation of the   • Working fields: Buildings and transport sectors (Two sets
negative impact of barriers (Impact factor), ii) incorporates
these Impact factors in forward looking EE scenarios, iii)            of barriers);
calculates the occurring deviation against targets due to         • Options to: i) add or modify barriers and technologies; ii)
these barriers and iv) provides combinations of technologies
and practices, allowing the optimization of scenario’s inputs.        add countries; iii) add sectors.
                                                                  • Incorporation of end-user’s behavioral barriers as inputs
Barriers are mapped, merged and grouped into three main
categories: i) Social-Cultural-Educational, ii) Economic and          for EE modelling;
iii) Institutional. Afterwards, barriers are compared pair-wised  • Calculation and optimization of occurring deviations;
and the importance of one barrier over the other is assessed      • Outcomes provided in Excel file. l
using a 1-9 scale. After the completion of all comparisons,
the Impact factor for each one of the identified barriers is        Consortium members:
calculated.
                                                                    NATIONAL AND KAPODISTRIAN UNIVERSITY
The Impact factor is a numerical outcome, expressing                OF ATHENS – Energy Policy and Development
the contribution of the concerned barrier in preventing             Centre (KEPA), Hellas UNIVERSITA COMMERCIALE
the achievement of EE targets. The total impact of the              ‘LUIGI BOCCONI’ – Istituto di Economia e Politica
assumed barriers on a certain input is expressed by the             dell’Energia e dell’Ambiente (IEFE), Italy SDRUZHENIE
Total Impact Factor which is also calculated. Consequently,         CHERNOMORSKI IZSLEDOVATELSKI ENERGIEN
EE technologies and practices are linked with the relevant          TSENTAR - Black Sea Energy Research Centre (BSREC),
barriers through their Total Impact factors that are provided by    Bulgaria OXFORD BROOKES UNIVERSITY - Low Carbon
HERON – DST. Occurring deviations are calculated. Options           Building Group (LCB), United Kingdom WUPPERTAL
for reducing deviations through the optimum combination of          INSTITUTE FOR CLIMATE, ENVIRONMENT AND ENERGY
                                                                    - Energy, Transport and Climate Policy group (WI),
                                                                    Germany UNIVERSITY OF BELGRADE - Faculty of Mining
                                                                    and Geology (UB-FMG), Serbia ESTONIAN INSTITUTE
                                                                    FOR SUSTAINABLE DEVELOPMENT - STOCKHOLM
                                                                    ENVIRONMENT INSTITUTE TALLINN CENTRE (SEI-T),
                                                                    Estonia

1. Mavrakis Dimitrios, Konidari Popi, 2017. A methodology to insert end-users behavior in energy efficiency scenario modelling. Euro-Asian Journal of
   Sustainable Energy Development Policy, Volume 5, Number 2, pp. 59-83. At: http://www.promitheasnet.kepa.uoa.gr/images/journal_articles/Volume_5.2/
   July_December_2017_september_ONLINE_MAVRAKIS.pdf

Material:
Manual: https://heron2017.wordpress.com/manual/
Case studies: https://heron2017.wordpress.com/implementation/
Free disposal of HERON DST– ask here: https://heron2017.wordpress.com/heron-dst/

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