**Conflict of interest**

Assessment and Suitability Analysis, were modeled. The main difficulty was to adapt the tool to energy urban planning, considering many complex aspects of this issue. Modeling of all retrofit dynamic attributes and the type of connection between all the attributes was another difficulty of this part. The modeling design process is quite complex. The model should chain all the data, attributes and indicators. This means that once the stakeholders change one parameter, others will change automatically in their proposed scenario. The participants are able to rapidly experiment different energy renovation scenarios and change the assumption. This creates an effective interaction between the stakeholders. They can visualize very complex problem of energy-saving scenarios simply by different dynamic colorful maps, charts and

This study suggests the development of a new MC-SDSS, which can define dynamic retrofit-

• The difficulty of the inclusion of conflicting point of views and then aggregation of stake-

The proposed framework will help urban actors to develop energy planning projects, guiding them in the choice among a considerable number of existing planning approaches. The main advantages of the developed MC-SDSS in the field of urban energy planning can be sum-

• To consider multiple criteria (e.g. economic, environmental, technical and, particularly,

• To manage and store a very large amount of georeferenced data and to illustrate results

• To show the distribution of buildings' geometrical characterization and buildings' energy

The authors of this study wish to acknowledge the National Cluster Smart City and Communities project, named 'EEB-Zero Energy Buildings in Smart Urban Districts' funded by National Operational Program for Research and Competitiveness 2007–2013 (PON R and C),

ting scenarios side by side with stakeholders. This faces several barriers including:

• The difficulty of the workshops to be time-consuming involving real stakeholders

• To give a visualization opportunity for the decision process in specific areas

requested by users according to different spatial forms (e.g. maps, graphs)

holders' preferences in a participative decision-making context

indicators.

*4.2.1. Limitations*

marized as follows:

social aspects)

consumption

**Acknowledgements**

CTN01\_00034\_594053.

• The need for the tool that to be open source

90 Sustainable Cities - Authenticity, Ambition and Dream

• To allow the participative processes

The authors declare no conflicts of interest.
