How to define energy criteria in the absence of open data: a stakeholders-oriented approach based on Multi Criteria Analysis (MCA)

The urban decision processes should be optimized according to the current “green” context. Despite the literature advocate for an open availability of data to facilitate higher quality science and a more effective science-policy boundary, one of the main challenges when dealing with energy processes is the absence of accurate data. This paper aims at illustrating a stakeholder-oriented approach based on Multi-Criteria Analyses (MCA) in defining the set of evaluation criteria and their relevance in supporting the development of “what-if” urban energy retrofitting scenarios. In this regard, the SRF method has been used highlighting that the most important criteria for the problem in exam are related to economic and environmental aspects. In this context, big data visualization and geographical locations of the alternative scenarios, producing presentation features and performing spatial operations are fundamental. Hence, we supported the decision process through MC-SDSS to optimize the urban decision purposes. The results of this chapter are part of the National project EEB