An integrated participative spatial decision support system for smart energy urban scenarios: A financial and economic approach

被引：11

作者：

Abastante F. ^{[1
]}

Lami I.M. ^{[1
]}

Lombardi P. ^{[1
]}

机构：

[1] Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, Viale Mattioli 39, Torino

来源：

Buildings | 2017年 / 7卷 / 04期

关键词：

Cost analysis; DIMMER project; Multi-criteria decision analyses (MCDA); Spatial decision support systems (SDSS);

D O I：

10.3390/buildings7040103

中图分类号：

学科分类号：

摘要：

The decision-making process regarding heating supply system options in a district perspective is extremely challenging. This paper aims to present a new method to support urban energy decisions in real-time processes, which was developed in the context of a European project (DIMMER (District Information Modeling and Management for Energy Reduction, 2013-2016)). The method is composed of three parts: (i) a new web-based spatial decision support system (SDSS), called "Dashboard"; (ii) an ad hoc energy-attribute analysis (EAA) tool to be integrated into Dashboard; and (iii) a multi-criteria decision analysis (MCDA). In contrast to other SDSSs, one of the main strengths of Dashboard is the ability to acquire, store, and manage both geo-referenced and non-geo-referenced data, and perform real-time analyses of spatial problems taking into account a wide range of information. In this sense, Dashboard can formally visualize and assess a potentially infinite number of attributes and information, as it is able to read and process very large web databases. This characteristic makes 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 testing of Dashboard test on a district in Turin (Italy). © 2017 by the authors.

引用

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