Loading…
Mapping Buildings’ Energy-Related Features at Urban Level toward Energy Planning
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...
Saved in:
Published in: | Buildings (Basel) 2021-08, Vol.11 (8), p.322 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c382t-6060b7f00fa43e61368f40a749b92ee6c80a1aed61cfe3bdc31eb3b00921cc953 |
---|---|
cites | cdi_FETCH-LOGICAL-c382t-6060b7f00fa43e61368f40a749b92ee6c80a1aed61cfe3bdc31eb3b00921cc953 |
container_end_page | |
container_issue | 8 |
container_start_page | 322 |
container_title | Buildings (Basel) |
container_volume | 11 |
creator | Ferrari, Simone Zagarella, Federica Caputo, Paola Dall’O’, Giuliano |
description | 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. |
doi_str_mv | 10.3390/buildings11080322 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_e9c692fa646e4f09ab9e625ac53ac030</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_e9c692fa646e4f09ab9e625ac53ac030</doaj_id><sourcerecordid>2564727625</sourcerecordid><originalsourceid>FETCH-LOGICAL-c382t-6060b7f00fa43e61368f40a749b92ee6c80a1aed61cfe3bdc31eb3b00921cc953</originalsourceid><addsrcrecordid>eNplkcFKw0AQQIMoWGo_wNuC5-jsbnaTPWpptVBRij0vk82kpMQkbhLFm7_h7_klRltFcC4zDG_eDEwQnHI4l9LARdoXZVZUm5ZzSEAKcRCMBMQqVBLM4Z_6OJi07RaGSJQQKhoFq1tsmmGUXf04Pt7e2awiv3kNV1RiRxmbE3a9p5Zhx9Y-xYot6ZlK1tUv6LM9ze5LrKrBcBIc5Vi2NNnncbCezx6mN-Hy7noxvVyGTiaiCzVoSOMcIMdIkuZSJ3kEGEcmNYJIuwSQI2Wau5xkmjnJKZUpgBHcOaPkOFjsvFmNW9v44hH9q62xsN-N2m8s-q5wJVkyThuRo440RTkYTA1podApiQ4kDK6znavx9VNPbWe3de-r4XwrlI5iEQ_4QPEd5Xzdtp7y360c7Ncn7L9PyE8qsX6C</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2564727625</pqid></control><display><type>article</type><title>Mapping Buildings’ Energy-Related Features at Urban Level toward Energy Planning</title><source>Publicly Available Content (ProQuest)</source><creator>Ferrari, Simone ; Zagarella, Federica ; Caputo, Paola ; Dall’O’, Giuliano</creator><creatorcontrib>Ferrari, Simone ; Zagarella, Federica ; Caputo, Paola ; Dall’O’, Giuliano</creatorcontrib><description>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.</description><identifier>ISSN: 2075-5309</identifier><identifier>EISSN: 2075-5309</identifier><identifier>DOI: 10.3390/buildings11080322</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Building construction ; Buildings ; Cities ; Construction ; Data collection ; Energy ; Energy demand ; Energy efficiency ; energy planning ; Geographic information systems ; GIS-based procedure ; INSPIRE Directive ; Remote sensing ; Spatial analysis ; Urban areas ; urban building stock characterization</subject><ispartof>Buildings (Basel), 2021-08, Vol.11 (8), p.322</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c382t-6060b7f00fa43e61368f40a749b92ee6c80a1aed61cfe3bdc31eb3b00921cc953</citedby><cites>FETCH-LOGICAL-c382t-6060b7f00fa43e61368f40a749b92ee6c80a1aed61cfe3bdc31eb3b00921cc953</cites><orcidid>0000-0001-5175-9445</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2564727625/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2564727625?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25733,27903,27904,36991,44569,74872</link.rule.ids></links><search><creatorcontrib>Ferrari, Simone</creatorcontrib><creatorcontrib>Zagarella, Federica</creatorcontrib><creatorcontrib>Caputo, Paola</creatorcontrib><creatorcontrib>Dall’O’, Giuliano</creatorcontrib><title>Mapping Buildings’ Energy-Related Features at Urban Level toward Energy Planning</title><title>Buildings (Basel)</title><description>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.</description><subject>Building construction</subject><subject>Buildings</subject><subject>Cities</subject><subject>Construction</subject><subject>Data collection</subject><subject>Energy</subject><subject>Energy demand</subject><subject>Energy efficiency</subject><subject>energy planning</subject><subject>Geographic information systems</subject><subject>GIS-based procedure</subject><subject>INSPIRE Directive</subject><subject>Remote sensing</subject><subject>Spatial analysis</subject><subject>Urban areas</subject><subject>urban building stock characterization</subject><issn>2075-5309</issn><issn>2075-5309</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNplkcFKw0AQQIMoWGo_wNuC5-jsbnaTPWpptVBRij0vk82kpMQkbhLFm7_h7_klRltFcC4zDG_eDEwQnHI4l9LARdoXZVZUm5ZzSEAKcRCMBMQqVBLM4Z_6OJi07RaGSJQQKhoFq1tsmmGUXf04Pt7e2awiv3kNV1RiRxmbE3a9p5Zhx9Y-xYot6ZlK1tUv6LM9ze5LrKrBcBIc5Vi2NNnncbCezx6mN-Hy7noxvVyGTiaiCzVoSOMcIMdIkuZSJ3kEGEcmNYJIuwSQI2Wau5xkmjnJKZUpgBHcOaPkOFjsvFmNW9v44hH9q62xsN-N2m8s-q5wJVkyThuRo440RTkYTA1podApiQ4kDK6znavx9VNPbWe3de-r4XwrlI5iEQ_4QPEd5Xzdtp7y360c7Ncn7L9PyE8qsX6C</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Ferrari, Simone</creator><creator>Zagarella, Federica</creator><creator>Caputo, Paola</creator><creator>Dall’O’, Giuliano</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5175-9445</orcidid></search><sort><creationdate>20210801</creationdate><title>Mapping Buildings’ Energy-Related Features at Urban Level toward Energy Planning</title><author>Ferrari, Simone ; Zagarella, Federica ; Caputo, Paola ; Dall’O’, Giuliano</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-6060b7f00fa43e61368f40a749b92ee6c80a1aed61cfe3bdc31eb3b00921cc953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Building construction</topic><topic>Buildings</topic><topic>Cities</topic><topic>Construction</topic><topic>Data collection</topic><topic>Energy</topic><topic>Energy demand</topic><topic>Energy efficiency</topic><topic>energy planning</topic><topic>Geographic information systems</topic><topic>GIS-based procedure</topic><topic>INSPIRE Directive</topic><topic>Remote sensing</topic><topic>Spatial analysis</topic><topic>Urban areas</topic><topic>urban building stock characterization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ferrari, Simone</creatorcontrib><creatorcontrib>Zagarella, Federica</creatorcontrib><creatorcontrib>Caputo, Paola</creatorcontrib><creatorcontrib>Dall’O’, Giuliano</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Engineering Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Directory of Open Access Journals</collection><jtitle>Buildings (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ferrari, Simone</au><au>Zagarella, Federica</au><au>Caputo, Paola</au><au>Dall’O’, Giuliano</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping Buildings’ Energy-Related Features at Urban Level toward Energy Planning</atitle><jtitle>Buildings (Basel)</jtitle><date>2021-08-01</date><risdate>2021</risdate><volume>11</volume><issue>8</issue><spage>322</spage><pages>322-</pages><issn>2075-5309</issn><eissn>2075-5309</eissn><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.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/buildings11080322</doi><orcidid>https://orcid.org/0000-0001-5175-9445</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2075-5309 |
ispartof | Buildings (Basel), 2021-08, Vol.11 (8), p.322 |
issn | 2075-5309 2075-5309 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_e9c692fa646e4f09ab9e625ac53ac030 |
source | Publicly Available Content (ProQuest) |
subjects | Building construction Buildings Cities Construction Data collection Energy Energy demand Energy efficiency energy planning Geographic information systems GIS-based procedure INSPIRE Directive Remote sensing Spatial analysis Urban areas urban building stock characterization |
title | Mapping Buildings’ Energy-Related Features at Urban Level toward Energy Planning |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T15%3A10%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mapping%20Buildings%E2%80%99%20Energy-Related%20Features%20at%20Urban%20Level%20toward%20Energy%20Planning&rft.jtitle=Buildings%20(Basel)&rft.au=Ferrari,%20Simone&rft.date=2021-08-01&rft.volume=11&rft.issue=8&rft.spage=322&rft.pages=322-&rft.issn=2075-5309&rft.eissn=2075-5309&rft_id=info:doi/10.3390/buildings11080322&rft_dat=%3Cproquest_doaj_%3E2564727625%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c382t-6060b7f00fa43e61368f40a749b92ee6c80a1aed61cfe3bdc31eb3b00921cc953%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2564727625&rft_id=info:pmid/&rfr_iscdi=true |