Sara Torabi Moghadam

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.

Spatial visualization is a very useful tool to help decision-makers in the urban planning process, i) to define future energy transition pathways, ii) to implement energy efficiency strategies and iii) to integrate renewable energy technologies in the context of sustainable cities. There is thus a need to develop new tools to understand the energy consumption patterns across cities. Statistical methods are often used to understand the driving parameters of energy consumption but rarely used to evaluate future urban refurbishment scenarios.