Mapping Buildings’ Energy-Related Features at Urban Level toward Energy Planning

Author:

Ferrari SimoneORCID,Zagarella Federica,Caputo Paola,Dall’O’ Giuliano

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.

Publisher

MDPI AG

Subject

Building and Construction,Civil and Structural Engineering,Architecture

Reference46 articles.

1. Energy Technology Perspectives 2016—Towards Sustainable Urban Energy Systems,2016

2. Directive 2018/844 of the European Parliament and of the Council of 30 May 2018 Amending Directive 2010/31/EU on the Energy Performance of Buildings and Directive 2012/27/EU on Energy Efficiency,2018

3. Results of a literature review on methods for estimating buildings energy demand at district level

4. Assessment of tools for urban energy planning

5. 2.09—GIS for Urban Energy Analysis, Comprehensive Geographic Information Systems;Li,2018

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