Mapping Buildings’ Energy-Related Features at Urban Level toward Energy Planning
Author(s): |
Simone Ferrari
Federica Zagarella Paola Caputo Giuliano Dall’O’ |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 27 July 2021, n. 8, v. 11 |
Page(s): | 322 |
DOI: | 10.3390/buildings11080322 |
Abstract: |
To boost energy efficiency in the building sector at urban and district scales, the use of a Geographic Information System (GIS) for data collection and energy spatial analysis is relevant. As highlighted in many studies on this topic reported in literature, the correlation among available databases is complex due to the different levels of information. As the first part of a wide research aimed at estimating the energy demand of urban buildings, we present in this article a focus on the details of the GIS-based procedure developed to assess the main energy-related features of existing building stocks. The procedure is based on the elaboration of data from the Italian Topographic Databases, under provision at the national level according to the INSPIRE European Directive and the national General Census of Population and Houses. It enables one to calculate and map the urban built volume characterized by mostly diffuse use categories in an urban context (residential and offices), to which different equipment and building usage patterns can be associated, and by construction periods, featuring different technological solutions. The method has been applied to the city of Milan (Italy). An insight into the outcomes from the overall method of the wider research is also reported. |
Copyright: | © 2021 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
6.75 MB
- About this
data sheet - Reference-ID
10625743 - Published on:
26/08/2021 - Last updated on:
14/09/2021