Uses of dynamic simulation to predict thermal‐energy performance of buildings and districts: a review
The design of sustainable constructions also resilient to climate change has become a challenging issue given the increasing greenhouse emissions rate imputable to the built environment in urban areas. In this context, dynamic simulation models represent a suitable tool to support the design from ve...
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Veröffentlicht in: | Wiley interdisciplinary reviews. Energy and environment 2018-01, Vol.7 (1), p.e269-n/a |
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description | The design of sustainable constructions also resilient to climate change has become a challenging issue given the increasing greenhouse emissions rate imputable to the built environment in urban areas. In this context, dynamic simulation models represent a suitable tool to support the design from very preliminary phases, since they allow an accurate prediction of the constructions requirements, their environmental performance, and indoor comfort conditions for their occupants. Therefore, starting from specific inputs, that is, weather conditions, construction technologies, materials, energy systems, operation settings, occupancy, and so forth, it is possible to estimate the realistic building energy performance. Moreover, the calibration procedures allow making the model even more representative of the field conditions of a construction. Given the massive progress carried out by the scientific community during the last decades, this paper presents a comprehensive review of the different building dynamic simulation approaches and available tools. While previous review studies focused on single separated aspects of dynamic simulations approaches, that is, calibration methods, software, simulation of single building energy systems, the aim of the present review is to propose a more holistic approach by investigating the recent scientific progress in simulating realistic dense urban environments. In this view, the review focus bridges the gap between the simulation at single‐building level and simulation at the increasingly important neighborhood scale by showing the multiple benefits deriving from using dynamic simulation tools at district level, for a more reliable investigation of building performance in their urban context, where more than 50% of the global population worldwide currently lives. WIREs Energy Environ 2018, 7:e269. doi: 10.1002/wene269.
This article is categorized under:
Energy and Urban Design > Systems and Infrastructure
Solar Heating and Cooling > Climate and Environment
Energy Efficiency > Climate and Environment
Energy Efficiency > Science and Materials
Flow chart diagram of the review contents |
doi_str_mv | 10.1002/wene.269 |
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This article is categorized under:
Energy and Urban Design > Systems and Infrastructure
Solar Heating and Cooling > Climate and Environment
Energy Efficiency > Climate and Environment
Energy Efficiency > Science and Materials
Flow chart diagram of the review contents</description><identifier>ISSN: 2041-8396</identifier><identifier>EISSN: 2041-840X</identifier><identifier>DOI: 10.1002/wene.269</identifier><language>eng</language><publisher>Hoboken, USA: Wiley Periodicals, Inc</publisher><subject>Buildings ; Built environment ; Calibration ; Climate ; Climate change ; Computer simulation ; Construction ; Construction materials ; Energy consumption ; Energy efficiency ; Environmental performance ; Indoor environments ; Neighborhoods ; Power efficiency ; Reviews ; Scientific community ; Simulation ; Solar heating ; Sustainable design ; Thermal energy ; Urban areas ; Urban environments ; Urban planning ; Weather</subject><ispartof>Wiley interdisciplinary reviews. Energy and environment, 2018-01, Vol.7 (1), p.e269-n/a</ispartof><rights>2017 Wiley Periodicals, Inc.</rights><rights>2018 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3519-4063de72116640a479ef600f31723d5e636476d869b187659ab9dca975acceca3</citedby><cites>FETCH-LOGICAL-c3519-4063de72116640a479ef600f31723d5e636476d869b187659ab9dca975acceca3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fwene.269$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fwene.269$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,27865,27923,27924,45573,45574</link.rule.ids></links><search><creatorcontrib>Castaldo, Veronica Lucia</creatorcontrib><creatorcontrib>Pisello, Anna Laura</creatorcontrib><title>Uses of dynamic simulation to predict thermal‐energy performance of buildings and districts: a review</title><title>Wiley interdisciplinary reviews. Energy and environment</title><description>The design of sustainable constructions also resilient to climate change has become a challenging issue given the increasing greenhouse emissions rate imputable to the built environment in urban areas. In this context, dynamic simulation models represent a suitable tool to support the design from very preliminary phases, since they allow an accurate prediction of the constructions requirements, their environmental performance, and indoor comfort conditions for their occupants. Therefore, starting from specific inputs, that is, weather conditions, construction technologies, materials, energy systems, operation settings, occupancy, and so forth, it is possible to estimate the realistic building energy performance. Moreover, the calibration procedures allow making the model even more representative of the field conditions of a construction. Given the massive progress carried out by the scientific community during the last decades, this paper presents a comprehensive review of the different building dynamic simulation approaches and available tools. While previous review studies focused on single separated aspects of dynamic simulations approaches, that is, calibration methods, software, simulation of single building energy systems, the aim of the present review is to propose a more holistic approach by investigating the recent scientific progress in simulating realistic dense urban environments. In this view, the review focus bridges the gap between the simulation at single‐building level and simulation at the increasingly important neighborhood scale by showing the multiple benefits deriving from using dynamic simulation tools at district level, for a more reliable investigation of building performance in their urban context, where more than 50% of the global population worldwide currently lives. WIREs Energy Environ 2018, 7:e269. doi: 10.1002/wene269.
This article is categorized under:
Energy and Urban Design > Systems and Infrastructure
Solar Heating and Cooling > Climate and Environment
Energy Efficiency > Climate and Environment
Energy Efficiency > Science and Materials
Flow chart diagram of the review contents</description><subject>Buildings</subject><subject>Built environment</subject><subject>Calibration</subject><subject>Climate</subject><subject>Climate change</subject><subject>Computer simulation</subject><subject>Construction</subject><subject>Construction materials</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Environmental performance</subject><subject>Indoor environments</subject><subject>Neighborhoods</subject><subject>Power efficiency</subject><subject>Reviews</subject><subject>Scientific community</subject><subject>Simulation</subject><subject>Solar heating</subject><subject>Sustainable design</subject><subject>Thermal energy</subject><subject>Urban areas</subject><subject>Urban environments</subject><subject>Urban planning</subject><subject>Weather</subject><issn>2041-8396</issn><issn>2041-840X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNp1kM1KAzEUhYMoWGrBRwi4cTM1mckkE3dS6g8U3Vh0N6TJnZoyfyYzltn5CD6jT2KG6tK7uZfLd86Bg9A5JXNKSHy1hxrmMZdHaBITRqOMkdfjvzuR_BTNvN-RMBnljPEJ2q49eNwU2Ay1qqzG3lZ9qTrb1LhrcOvAWN3h7g1cpcrvz6-Q4LYDbsEVTXjVGkb1prelsfXWY1UbbKzvXJD5a6ywgw8L-zN0UqjSw-x3T9H6dvm8uI9WT3cPi5tVpJOUyogRnhgQMaWcM6KYkFBwQoqEijgxKfCEM8FNxuWGZoKnUm2k0UqKVGkNWiVTdHHwbV3z3oPv8l3TuzpE5lQKKQTlwWmKLg-Udo33Doq8dbZSbsgpyccm87HJPDQZ0OiA7m0Jw79c_rJ8XI78D0JNdp0</recordid><startdate>201801</startdate><enddate>201801</enddate><creator>Castaldo, Veronica Lucia</creator><creator>Pisello, Anna Laura</creator><general>Wiley Periodicals, Inc</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TQ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>SOI</scope></search><sort><creationdate>201801</creationdate><title>Uses of dynamic simulation to predict thermal‐energy performance of buildings and districts: a review</title><author>Castaldo, Veronica Lucia ; Pisello, Anna Laura</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3519-4063de72116640a479ef600f31723d5e636476d869b187659ab9dca975acceca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Buildings</topic><topic>Built environment</topic><topic>Calibration</topic><topic>Climate</topic><topic>Climate change</topic><topic>Computer simulation</topic><topic>Construction</topic><topic>Construction materials</topic><topic>Energy consumption</topic><topic>Energy efficiency</topic><topic>Environmental performance</topic><topic>Indoor environments</topic><topic>Neighborhoods</topic><topic>Power efficiency</topic><topic>Reviews</topic><topic>Scientific community</topic><topic>Simulation</topic><topic>Solar heating</topic><topic>Sustainable design</topic><topic>Thermal energy</topic><topic>Urban areas</topic><topic>Urban environments</topic><topic>Urban planning</topic><topic>Weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Castaldo, Veronica Lucia</creatorcontrib><creatorcontrib>Pisello, Anna Laura</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>PAIS Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Environment Abstracts</collection><jtitle>Wiley interdisciplinary reviews. Energy and environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Castaldo, Veronica Lucia</au><au>Pisello, Anna Laura</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Uses of dynamic simulation to predict thermal‐energy performance of buildings and districts: a review</atitle><jtitle>Wiley interdisciplinary reviews. Energy and environment</jtitle><date>2018-01</date><risdate>2018</risdate><volume>7</volume><issue>1</issue><spage>e269</spage><epage>n/a</epage><pages>e269-n/a</pages><issn>2041-8396</issn><eissn>2041-840X</eissn><abstract>The design of sustainable constructions also resilient to climate change has become a challenging issue given the increasing greenhouse emissions rate imputable to the built environment in urban areas. In this context, dynamic simulation models represent a suitable tool to support the design from very preliminary phases, since they allow an accurate prediction of the constructions requirements, their environmental performance, and indoor comfort conditions for their occupants. Therefore, starting from specific inputs, that is, weather conditions, construction technologies, materials, energy systems, operation settings, occupancy, and so forth, it is possible to estimate the realistic building energy performance. Moreover, the calibration procedures allow making the model even more representative of the field conditions of a construction. Given the massive progress carried out by the scientific community during the last decades, this paper presents a comprehensive review of the different building dynamic simulation approaches and available tools. While previous review studies focused on single separated aspects of dynamic simulations approaches, that is, calibration methods, software, simulation of single building energy systems, the aim of the present review is to propose a more holistic approach by investigating the recent scientific progress in simulating realistic dense urban environments. In this view, the review focus bridges the gap between the simulation at single‐building level and simulation at the increasingly important neighborhood scale by showing the multiple benefits deriving from using dynamic simulation tools at district level, for a more reliable investigation of building performance in their urban context, where more than 50% of the global population worldwide currently lives. WIREs Energy Environ 2018, 7:e269. doi: 10.1002/wene269.
This article is categorized under:
Energy and Urban Design > Systems and Infrastructure
Solar Heating and Cooling > Climate and Environment
Energy Efficiency > Climate and Environment
Energy Efficiency > Science and Materials
Flow chart diagram of the review contents</abstract><cop>Hoboken, USA</cop><pub>Wiley Periodicals, Inc</pub><doi>10.1002/wene.269</doi><tpages>34</tpages></addata></record> |
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subjects | Buildings Built environment Calibration Climate Climate change Computer simulation Construction Construction materials Energy consumption Energy efficiency Environmental performance Indoor environments Neighborhoods Power efficiency Reviews Scientific community Simulation Solar heating Sustainable design Thermal energy Urban areas Urban environments Urban planning Weather |
title | Uses of dynamic simulation to predict thermal‐energy performance of buildings and districts: a review |
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