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Using a dynamic segmented model to examine future renovation activities in the Norwegian dwelling stock
•We develop a dynamic and segmented dwelling stock model using MFA principles.•The model describes the dwelling stock's natural turn-over and need for maintenance.•Long-term demand for dwellings, construction, renovation and demolition estimated.•Renovation rates in Norway are not expected to i...
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Published in: | Energy and buildings 2014-10, Vol.82, p.287-295 |
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creator | Sandberg, Nina Holck Sartori, Igor Brattebø, Helge |
description | •We develop a dynamic and segmented dwelling stock model using MFA principles.•The model describes the dwelling stock's natural turn-over and need for maintenance.•Long-term demand for dwellings, construction, renovation and demolition estimated.•Renovation rates in Norway are not expected to increase to levels commonly assumed.•Segmented model results show what segments are expected to be renovated and when.
Roadmaps and action plans for energy savings in building stocks commonly assume strong increases in the renovation rates to obtain future energy savings. This study presents a segmented dynamic dwelling stock model for understanding the nature of the long-term development in stocks, their turn-over and need for maintenance, including a case study for Norway. Segments are defined by dwelling type and construction period. Based on the underlying drivers in the system, population size and number of persons per dwelling, the dwelling stock demand and construction, demolition and renovation activity are estimated for each year towards 2050. Demolition and renovation activity is modeled using probability functions of different characteristics.
The dynamic and segmented model gives useful insight to what segments of the dwelling stock that are expected to be exposed to renovation in the future. This is important for proper tailoring of building renovation and energy policies today and in future. In Norway, detached houses constructed between 1945 and 2011 will dominate the renovation activity in the coming decades. Although the renovation rate is expected to increase in the future, we have found that the rates commonly assumed in roadmaps and action plans in Europe do not seem to be realistic. |
doi_str_mv | 10.1016/j.enbuild.2014.07.005 |
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Roadmaps and action plans for energy savings in building stocks commonly assume strong increases in the renovation rates to obtain future energy savings. This study presents a segmented dynamic dwelling stock model for understanding the nature of the long-term development in stocks, their turn-over and need for maintenance, including a case study for Norway. Segments are defined by dwelling type and construction period. Based on the underlying drivers in the system, population size and number of persons per dwelling, the dwelling stock demand and construction, demolition and renovation activity are estimated for each year towards 2050. Demolition and renovation activity is modeled using probability functions of different characteristics.
The dynamic and segmented model gives useful insight to what segments of the dwelling stock that are expected to be exposed to renovation in the future. This is important for proper tailoring of building renovation and energy policies today and in future. In Norway, detached houses constructed between 1945 and 2011 will dominate the renovation activity in the coming decades. Although the renovation rate is expected to increase in the future, we have found that the rates commonly assumed in roadmaps and action plans in Europe do not seem to be realistic.</description><identifier>ISSN: 0378-7788</identifier><identifier>DOI: 10.1016/j.enbuild.2014.07.005</identifier><identifier>CODEN: ENEBDR</identifier><language>eng</language><publisher>Oxford: Elsevier B.V</publisher><subject>Applied sciences ; Buildings ; Buildings. Public works ; Computation methods. Tables. Charts ; Construction ; Demolition ; Dwelling stock ; Dwelling types ; Dwellings ; Dynamic material flow analysis ; Dynamic tests ; Dynamics ; Energy conservation ; Exact sciences and technology ; Forecasting ; Housing improvement. Restoration ; Norway ; Raw materials ; Renovation ; Renovation rate ; Residential building ; Segmented building stock ; Segments ; Structural analysis. Stresses ; Types of buildings</subject><ispartof>Energy and buildings, 2014-10, Vol.82, p.287-295</ispartof><rights>2014 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c471t-90410bdf875352b57101409cd0f5c78ef13eaf0d0eb766807cf9a128cf71eb7b3</citedby><cites>FETCH-LOGICAL-c471t-90410bdf875352b57101409cd0f5c78ef13eaf0d0eb766807cf9a128cf71eb7b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28843488$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Sandberg, Nina Holck</creatorcontrib><creatorcontrib>Sartori, Igor</creatorcontrib><creatorcontrib>Brattebø, Helge</creatorcontrib><title>Using a dynamic segmented model to examine future renovation activities in the Norwegian dwelling stock</title><title>Energy and buildings</title><description>•We develop a dynamic and segmented dwelling stock model using MFA principles.•The model describes the dwelling stock's natural turn-over and need for maintenance.•Long-term demand for dwellings, construction, renovation and demolition estimated.•Renovation rates in Norway are not expected to increase to levels commonly assumed.•Segmented model results show what segments are expected to be renovated and when.
Roadmaps and action plans for energy savings in building stocks commonly assume strong increases in the renovation rates to obtain future energy savings. This study presents a segmented dynamic dwelling stock model for understanding the nature of the long-term development in stocks, their turn-over and need for maintenance, including a case study for Norway. Segments are defined by dwelling type and construction period. Based on the underlying drivers in the system, population size and number of persons per dwelling, the dwelling stock demand and construction, demolition and renovation activity are estimated for each year towards 2050. Demolition and renovation activity is modeled using probability functions of different characteristics.
The dynamic and segmented model gives useful insight to what segments of the dwelling stock that are expected to be exposed to renovation in the future. This is important for proper tailoring of building renovation and energy policies today and in future. In Norway, detached houses constructed between 1945 and 2011 will dominate the renovation activity in the coming decades. Although the renovation rate is expected to increase in the future, we have found that the rates commonly assumed in roadmaps and action plans in Europe do not seem to be realistic.</description><subject>Applied sciences</subject><subject>Buildings</subject><subject>Buildings. Public works</subject><subject>Computation methods. Tables. Charts</subject><subject>Construction</subject><subject>Demolition</subject><subject>Dwelling stock</subject><subject>Dwelling types</subject><subject>Dwellings</subject><subject>Dynamic material flow analysis</subject><subject>Dynamic tests</subject><subject>Dynamics</subject><subject>Energy conservation</subject><subject>Exact sciences and technology</subject><subject>Forecasting</subject><subject>Housing improvement. Restoration</subject><subject>Norway</subject><subject>Raw materials</subject><subject>Renovation</subject><subject>Renovation rate</subject><subject>Residential building</subject><subject>Segmented building stock</subject><subject>Segments</subject><subject>Structural analysis. Stresses</subject><subject>Types of buildings</subject><issn>0378-7788</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqNkDtv2zAQgDU0QB7NTyjApUAWq0dJFKkpCIw0KRC0SzMTFHl06UqkQ1JO8-9Lw0bXZjrg7rvXV1WfKNQUaP9lW6MfFzeZugHa1cBrAPahuoCWixXnQpxXlyltAaBnnF5Um-fk_IYoYt68mp0mCTcz-oyGzMHgRHIg-KdUPBK75CUiiejDXmUXPFE6u73LDhNxnuRfSL6H-IobpzwxrzhNh9kpB_37Y3Vm1ZTw-hSvquev9z_Xj6unHw_f1ndPK91xmlcDdBRGYwVnLWvGcmL5AgZtwDLNBVraorJgAEfe9wK4toOijdCW05Ia26vq5jh3F8PLginL2SVdLlEew5Ik7RntWDcw_g60a_qG9UNTUHZEdQwpRbRyF92s4pukIA_e5VaevMuDdwlcFu-l7_NphUpaTTYqr13619wI0bWdEIW7PXJY1OwdRpm0Q6_RuIg6SxPcfzb9BSSBnqU</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Sandberg, Nina Holck</creator><creator>Sartori, Igor</creator><creator>Brattebø, Helge</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><scope>SOI</scope><scope>7SU</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20141001</creationdate><title>Using a dynamic segmented model to examine future renovation activities in the Norwegian dwelling stock</title><author>Sandberg, Nina Holck ; Sartori, Igor ; Brattebø, Helge</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c471t-90410bdf875352b57101409cd0f5c78ef13eaf0d0eb766807cf9a128cf71eb7b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applied sciences</topic><topic>Buildings</topic><topic>Buildings. Public works</topic><topic>Computation methods. Tables. Charts</topic><topic>Construction</topic><topic>Demolition</topic><topic>Dwelling stock</topic><topic>Dwelling types</topic><topic>Dwellings</topic><topic>Dynamic material flow analysis</topic><topic>Dynamic tests</topic><topic>Dynamics</topic><topic>Energy conservation</topic><topic>Exact sciences and technology</topic><topic>Forecasting</topic><topic>Housing improvement. Restoration</topic><topic>Norway</topic><topic>Raw materials</topic><topic>Renovation</topic><topic>Renovation rate</topic><topic>Residential building</topic><topic>Segmented building stock</topic><topic>Segments</topic><topic>Structural analysis. Stresses</topic><topic>Types of buildings</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sandberg, Nina Holck</creatorcontrib><creatorcontrib>Sartori, Igor</creatorcontrib><creatorcontrib>Brattebø, Helge</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Energy and buildings</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sandberg, Nina Holck</au><au>Sartori, Igor</au><au>Brattebø, Helge</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using a dynamic segmented model to examine future renovation activities in the Norwegian dwelling stock</atitle><jtitle>Energy and buildings</jtitle><date>2014-10-01</date><risdate>2014</risdate><volume>82</volume><spage>287</spage><epage>295</epage><pages>287-295</pages><issn>0378-7788</issn><coden>ENEBDR</coden><abstract>•We develop a dynamic and segmented dwelling stock model using MFA principles.•The model describes the dwelling stock's natural turn-over and need for maintenance.•Long-term demand for dwellings, construction, renovation and demolition estimated.•Renovation rates in Norway are not expected to increase to levels commonly assumed.•Segmented model results show what segments are expected to be renovated and when.
Roadmaps and action plans for energy savings in building stocks commonly assume strong increases in the renovation rates to obtain future energy savings. This study presents a segmented dynamic dwelling stock model for understanding the nature of the long-term development in stocks, their turn-over and need for maintenance, including a case study for Norway. Segments are defined by dwelling type and construction period. Based on the underlying drivers in the system, population size and number of persons per dwelling, the dwelling stock demand and construction, demolition and renovation activity are estimated for each year towards 2050. Demolition and renovation activity is modeled using probability functions of different characteristics.
The dynamic and segmented model gives useful insight to what segments of the dwelling stock that are expected to be exposed to renovation in the future. This is important for proper tailoring of building renovation and energy policies today and in future. In Norway, detached houses constructed between 1945 and 2011 will dominate the renovation activity in the coming decades. Although the renovation rate is expected to increase in the future, we have found that the rates commonly assumed in roadmaps and action plans in Europe do not seem to be realistic.</abstract><cop>Oxford</cop><pub>Elsevier B.V</pub><doi>10.1016/j.enbuild.2014.07.005</doi><tpages>9</tpages></addata></record> |
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source | ScienceDirect Freedom Collection 2022-2024 |
subjects | Applied sciences Buildings Buildings. Public works Computation methods. Tables. Charts Construction Demolition Dwelling stock Dwelling types Dwellings Dynamic material flow analysis Dynamic tests Dynamics Energy conservation Exact sciences and technology Forecasting Housing improvement. Restoration Norway Raw materials Renovation Renovation rate Residential building Segmented building stock Segments Structural analysis. Stresses Types of buildings |
title | Using a dynamic segmented model to examine future renovation activities in the Norwegian dwelling stock |
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