The decision-making about heating supply system options in an urban perspective is extremely challenging. Nowadays, this type of evaluation is not only a technical and economic issue, but also a political and environmental choice. Aware of this widening of the problem, recent approaches propose to combine financial evaluations (DCF, CBA, ROI, energy budget costs –VEDI SITO ENTRANZE VEDI CORGNATI VEDI INGARAMO)…with Multicriteria Decision Analyses (MCDA), able to consider quantitative and qualitative aspects. However, there is another specific feature of the problem that is rarely considered: the territorial dimension. In fact, it is possible to notice that few Spatial Decision Support System (SDSS) have been currently developed in this realm. The paper aims to present a new method finalised to support urban energy decisions in real-time processes, developed in the context of a European project (DIMMER). The method is composed by three parts: i) a new Web-based Spatial Decision Support System (SDSS), called “Dashboard”; ii) an Energy-Attribute Analysis (EEA) develop ad hoc to be integrated in the Dashboard; iii) a MCDA. Differently from other SDSS, one of the main strengths of the Dashboard is the ability of acquiring, storing and managing geo-referenced as well as non geo-referenced data performing real-time analyses of spatial problems taking into account a wide range of information. In this sense, the Dashboard can formally visualize and assess a potentially infinite number of attributes and information being able to read and process enormous web-databases. This character makes the Dashboard a very effective tool that can be used in real-time during focus groups or workshops to understand how the criterion trade-offs evolve when one or several decision parameters change. The paper describes the main procedure of the new method and the Dashboard’s test according to a district in Turin (Italy).
|Titolo:||An integrated participative spatial decision support system for smart energy urban scenarios: A financial and economic approach|
|Data di pubblicazione:||2017|
|Digital Object Identifier (DOI):||10.3390/buildings7040103|
|Appare nelle tipologie:||1.1 Articolo in rivista|