Roof’s Potential and Suitability for PV Systems Based on LiDAR: A Case Study of Komárno, Slovakia
The case study focuses on evaluating the suitability of roof surfaces in terms of their solar potential based on their geometric parameters. The selected processing methodology detects segments of roof surfaces from the LiDAR base, supplemented with spatial information (orthophoto map, real estate c...
Gespeichert in:
Veröffentlicht in: | Sustainability 2020-12, Vol.12 (23), p.10018, Article 1 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 23 |
container_start_page | 10018 |
container_title | Sustainability |
container_volume | 12 |
creator | Gergelova, Marcela Bindzarova Kuzevicova, Zofia Labant, Slavomir Kuzevic, Stefan Bobikova, Diana Mizak, Jozef |
description | The case study focuses on evaluating the suitability of roof surfaces in terms of their solar potential based on their geometric parameters. The selected processing methodology detects segments of roof surfaces from the LiDAR base, supplemented with spatial information (orthophoto map, real estate cadastre (REC)—footprint, basic database for the geographic information system (ZBGIS)—classification of buildings—current use). The approach based on spatial analyses takes into account the limit conditions for determining the impact of solar radiation resulting from the roof area, slope, aspect, and hillshade. Considering to the available subsidy scheme for family houses in the conditions of the Slovak Republic, a narrower sample of 35 family houses was selected from the total number of typologically represented buildings (194). A 3D model of the building created by combining REC and LiDAR substrates shows the roof surface without overlap, while another 3D model made of LiDAR substrates alone represents the actual dimension of the roof surface. The results presented for each selected building show good agreement with each other, and their visualizations were obtained using two GIS environment approaches. In the area of family houses, up to 94% of the roof areas of buildings registered in the REC meet the conditions for the installation of a PV system with an output of 2.6/3.3 kW. |
doi_str_mv | 10.3390/su122310018 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2467295820</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2467295820</sourcerecordid><originalsourceid>FETCH-LOGICAL-c228t-5472ab8d33a52e7a1087b4d3050b158768b260650cf0608716ea4f2bc0a141c43</originalsourceid><addsrcrecordid>eNptkEtOwzAQhi0EEhV0xQUssYTAjJ1X2ZXyFJWoGmAbOYkjuaRxsR2k7LgGS87CTTgJRmVRIWYzo5lv_hn9hBwgnHA-glPbIWMcATDdIgMGCQYIEWxv1LtkaO0CfHCOI4wHpJprXX-9vVs60062TomGiraiWaecKFSjXE9rbejsiWa9dXJp6bmwsqK6pVN1MZ6f0TGd-A7NXFf1VNf0Ti8_P0yrj2nW6FfxrMQ-2alFY-XwN--Rx6vLh8lNML2_vp2Mp0HJWOqCKEyYKNKKcxExmQiENCnCivvHC4zSJE4LFkMcQVlD7GcYSxHWrChBYIhlyPfI4Vp3ZfRLJ63LF7ozrT-ZszBO2ChKGXjqaE2VRltrZJ2vjFoK0-cI-Y-T-YaTnsY_dOmdcUq3zgjV_LvzDYW1dJ4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2467295820</pqid></control><display><type>article</type><title>Roof’s Potential and Suitability for PV Systems Based on LiDAR: A Case Study of Komárno, Slovakia</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Gergelova, Marcela Bindzarova ; Kuzevicova, Zofia ; Labant, Slavomir ; Kuzevic, Stefan ; Bobikova, Diana ; Mizak, Jozef</creator><creatorcontrib>Gergelova, Marcela Bindzarova ; Kuzevicova, Zofia ; Labant, Slavomir ; Kuzevic, Stefan ; Bobikova, Diana ; Mizak, Jozef</creatorcontrib><description>The case study focuses on evaluating the suitability of roof surfaces in terms of their solar potential based on their geometric parameters. The selected processing methodology detects segments of roof surfaces from the LiDAR base, supplemented with spatial information (orthophoto map, real estate cadastre (REC)—footprint, basic database for the geographic information system (ZBGIS)—classification of buildings—current use). The approach based on spatial analyses takes into account the limit conditions for determining the impact of solar radiation resulting from the roof area, slope, aspect, and hillshade. Considering to the available subsidy scheme for family houses in the conditions of the Slovak Republic, a narrower sample of 35 family houses was selected from the total number of typologically represented buildings (194). A 3D model of the building created by combining REC and LiDAR substrates shows the roof surface without overlap, while another 3D model made of LiDAR substrates alone represents the actual dimension of the roof surface. The results presented for each selected building show good agreement with each other, and their visualizations were obtained using two GIS environment approaches. In the area of family houses, up to 94% of the roof areas of buildings registered in the REC meet the conditions for the installation of a PV system with an output of 2.6/3.3 kW.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su122310018</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Accuracy ; Alternative energy sources ; Buildings ; Cadastral mapping ; Cartography ; Case studies ; Data collection ; Energy consumption ; Energy resources ; Geodetics ; Geographic information systems ; Houses ; Lasers ; Photovoltaic cells ; Real estate ; Renewable resources ; Residential areas ; Roofing ; Roofs ; Software ; Solar energy ; Solar radiation ; Spatial analysis ; Spatial data ; Substrates ; Sustainability ; Thermal energy ; Usability</subject><ispartof>Sustainability, 2020-12, Vol.12 (23), p.10018, Article 1</ispartof><rights>2020 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 (http://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-c228t-5472ab8d33a52e7a1087b4d3050b158768b260650cf0608716ea4f2bc0a141c43</citedby><cites>FETCH-LOGICAL-c228t-5472ab8d33a52e7a1087b4d3050b158768b260650cf0608716ea4f2bc0a141c43</cites><orcidid>0000-0002-0666-4268 ; 0000-0001-5878-0538 ; 0000-0003-3134-0852 ; 0000-0002-7500-4343</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Gergelova, Marcela Bindzarova</creatorcontrib><creatorcontrib>Kuzevicova, Zofia</creatorcontrib><creatorcontrib>Labant, Slavomir</creatorcontrib><creatorcontrib>Kuzevic, Stefan</creatorcontrib><creatorcontrib>Bobikova, Diana</creatorcontrib><creatorcontrib>Mizak, Jozef</creatorcontrib><title>Roof’s Potential and Suitability for PV Systems Based on LiDAR: A Case Study of Komárno, Slovakia</title><title>Sustainability</title><description>The case study focuses on evaluating the suitability of roof surfaces in terms of their solar potential based on their geometric parameters. The selected processing methodology detects segments of roof surfaces from the LiDAR base, supplemented with spatial information (orthophoto map, real estate cadastre (REC)—footprint, basic database for the geographic information system (ZBGIS)—classification of buildings—current use). The approach based on spatial analyses takes into account the limit conditions for determining the impact of solar radiation resulting from the roof area, slope, aspect, and hillshade. Considering to the available subsidy scheme for family houses in the conditions of the Slovak Republic, a narrower sample of 35 family houses was selected from the total number of typologically represented buildings (194). A 3D model of the building created by combining REC and LiDAR substrates shows the roof surface without overlap, while another 3D model made of LiDAR substrates alone represents the actual dimension of the roof surface. The results presented for each selected building show good agreement with each other, and their visualizations were obtained using two GIS environment approaches. In the area of family houses, up to 94% of the roof areas of buildings registered in the REC meet the conditions for the installation of a PV system with an output of 2.6/3.3 kW.</description><subject>Accuracy</subject><subject>Alternative energy sources</subject><subject>Buildings</subject><subject>Cadastral mapping</subject><subject>Cartography</subject><subject>Case studies</subject><subject>Data collection</subject><subject>Energy consumption</subject><subject>Energy resources</subject><subject>Geodetics</subject><subject>Geographic information systems</subject><subject>Houses</subject><subject>Lasers</subject><subject>Photovoltaic cells</subject><subject>Real estate</subject><subject>Renewable resources</subject><subject>Residential areas</subject><subject>Roofing</subject><subject>Roofs</subject><subject>Software</subject><subject>Solar energy</subject><subject>Solar radiation</subject><subject>Spatial analysis</subject><subject>Spatial data</subject><subject>Substrates</subject><subject>Sustainability</subject><subject>Thermal energy</subject><subject>Usability</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkEtOwzAQhi0EEhV0xQUssYTAjJ1X2ZXyFJWoGmAbOYkjuaRxsR2k7LgGS87CTTgJRmVRIWYzo5lv_hn9hBwgnHA-glPbIWMcATDdIgMGCQYIEWxv1LtkaO0CfHCOI4wHpJprXX-9vVs60062TomGiraiWaecKFSjXE9rbejsiWa9dXJp6bmwsqK6pVN1MZ6f0TGd-A7NXFf1VNf0Ti8_P0yrj2nW6FfxrMQ-2alFY-XwN--Rx6vLh8lNML2_vp2Mp0HJWOqCKEyYKNKKcxExmQiENCnCivvHC4zSJE4LFkMcQVlD7GcYSxHWrChBYIhlyPfI4Vp3ZfRLJ63LF7ozrT-ZszBO2ChKGXjqaE2VRltrZJ2vjFoK0-cI-Y-T-YaTnsY_dOmdcUq3zgjV_LvzDYW1dJ4</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Gergelova, Marcela Bindzarova</creator><creator>Kuzevicova, Zofia</creator><creator>Labant, Slavomir</creator><creator>Kuzevic, Stefan</creator><creator>Bobikova, Diana</creator><creator>Mizak, Jozef</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-0666-4268</orcidid><orcidid>https://orcid.org/0000-0001-5878-0538</orcidid><orcidid>https://orcid.org/0000-0003-3134-0852</orcidid><orcidid>https://orcid.org/0000-0002-7500-4343</orcidid></search><sort><creationdate>20201201</creationdate><title>Roof’s Potential and Suitability for PV Systems Based on LiDAR: A Case Study of Komárno, Slovakia</title><author>Gergelova, Marcela Bindzarova ; Kuzevicova, Zofia ; Labant, Slavomir ; Kuzevic, Stefan ; Bobikova, Diana ; Mizak, Jozef</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c228t-5472ab8d33a52e7a1087b4d3050b158768b260650cf0608716ea4f2bc0a141c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accuracy</topic><topic>Alternative energy sources</topic><topic>Buildings</topic><topic>Cadastral mapping</topic><topic>Cartography</topic><topic>Case studies</topic><topic>Data collection</topic><topic>Energy consumption</topic><topic>Energy resources</topic><topic>Geodetics</topic><topic>Geographic information systems</topic><topic>Houses</topic><topic>Lasers</topic><topic>Photovoltaic cells</topic><topic>Real estate</topic><topic>Renewable resources</topic><topic>Residential areas</topic><topic>Roofing</topic><topic>Roofs</topic><topic>Software</topic><topic>Solar energy</topic><topic>Solar radiation</topic><topic>Spatial analysis</topic><topic>Spatial data</topic><topic>Substrates</topic><topic>Sustainability</topic><topic>Thermal energy</topic><topic>Usability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gergelova, Marcela Bindzarova</creatorcontrib><creatorcontrib>Kuzevicova, Zofia</creatorcontrib><creatorcontrib>Labant, Slavomir</creatorcontrib><creatorcontrib>Kuzevic, Stefan</creatorcontrib><creatorcontrib>Bobikova, Diana</creatorcontrib><creatorcontrib>Mizak, Jozef</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gergelova, Marcela Bindzarova</au><au>Kuzevicova, Zofia</au><au>Labant, Slavomir</au><au>Kuzevic, Stefan</au><au>Bobikova, Diana</au><au>Mizak, Jozef</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Roof’s Potential and Suitability for PV Systems Based on LiDAR: A Case Study of Komárno, Slovakia</atitle><jtitle>Sustainability</jtitle><date>2020-12-01</date><risdate>2020</risdate><volume>12</volume><issue>23</issue><spage>10018</spage><pages>10018-</pages><artnum>1</artnum><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>The case study focuses on evaluating the suitability of roof surfaces in terms of their solar potential based on their geometric parameters. The selected processing methodology detects segments of roof surfaces from the LiDAR base, supplemented with spatial information (orthophoto map, real estate cadastre (REC)—footprint, basic database for the geographic information system (ZBGIS)—classification of buildings—current use). The approach based on spatial analyses takes into account the limit conditions for determining the impact of solar radiation resulting from the roof area, slope, aspect, and hillshade. Considering to the available subsidy scheme for family houses in the conditions of the Slovak Republic, a narrower sample of 35 family houses was selected from the total number of typologically represented buildings (194). A 3D model of the building created by combining REC and LiDAR substrates shows the roof surface without overlap, while another 3D model made of LiDAR substrates alone represents the actual dimension of the roof surface. The results presented for each selected building show good agreement with each other, and their visualizations were obtained using two GIS environment approaches. In the area of family houses, up to 94% of the roof areas of buildings registered in the REC meet the conditions for the installation of a PV system with an output of 2.6/3.3 kW.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su122310018</doi><orcidid>https://orcid.org/0000-0002-0666-4268</orcidid><orcidid>https://orcid.org/0000-0001-5878-0538</orcidid><orcidid>https://orcid.org/0000-0003-3134-0852</orcidid><orcidid>https://orcid.org/0000-0002-7500-4343</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2071-1050 |
ispartof | Sustainability, 2020-12, Vol.12 (23), p.10018, Article 1 |
issn | 2071-1050 2071-1050 |
language | eng |
recordid | cdi_proquest_journals_2467295820 |
source | MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals |
subjects | Accuracy Alternative energy sources Buildings Cadastral mapping Cartography Case studies Data collection Energy consumption Energy resources Geodetics Geographic information systems Houses Lasers Photovoltaic cells Real estate Renewable resources Residential areas Roofing Roofs Software Solar energy Solar radiation Spatial analysis Spatial data Substrates Sustainability Thermal energy Usability |
title | Roof’s Potential and Suitability for PV Systems Based on LiDAR: A Case Study of Komárno, Slovakia |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T06%3A02%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Roof%E2%80%99s%20Potential%20and%20Suitability%20for%20PV%20Systems%20Based%20on%20LiDAR:%20A%20Case%20Study%20of%20Kom%C3%A1rno,%20Slovakia&rft.jtitle=Sustainability&rft.au=Gergelova,%20Marcela%20Bindzarova&rft.date=2020-12-01&rft.volume=12&rft.issue=23&rft.spage=10018&rft.pages=10018-&rft.artnum=1&rft.issn=2071-1050&rft.eissn=2071-1050&rft_id=info:doi/10.3390/su122310018&rft_dat=%3Cproquest_cross%3E2467295820%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2467295820&rft_id=info:pmid/&rfr_iscdi=true |