Fast fluid dynamics simulation of the airflow distributions in urban residential areas
•Three schemes for fast solving N-S equations are implemented in OpenFOAM.•Computational speed of three FFD models is SIPC > NIPC > RIPC from fast to slow.•There is no difference in number of grids to achieve independence for these models.•SIPC model is suitable to quickly evaluate the airflow...
Gespeichert in:
| Veröffentlicht in: | Energy and buildings 2022-01, Vol.255, p.111635, Article 111635 |
|---|---|
| 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 | |
| container_start_page | 111635 |
| container_title | Energy and buildings |
| container_volume | 255 |
| creator | Li, Ruibin Liu, Zhanpeng Feng, Lu Gao, Naiping |
| description | •Three schemes for fast solving N-S equations are implemented in OpenFOAM.•Computational speed of three FFD models is SIPC > NIPC > RIPC from fast to slow.•There is no difference in number of grids to achieve independence for these models.•SIPC model is suitable to quickly evaluate the airflow distribution in urban areas.
Conventional CFD models can resolve complex physical fields around single or multiple buildings with high spatial resolution, but they are unable to meet the demand for fast simulations with meter-level spatial resolution and minute-level temporal resolution due to the huge computational domain with numerous grids for urban residential areas. In this paper, three fast fluid dynamics (FFD) models with different pressure-correction schemes (i.e., SIPC, NIPC and RIPC) for solving Navier-Stokes (N-S) equations are implemented in OpenFOAM. The computational accuracy and speed of these FFD models is validated and analyzed through three cases. For the prediction of airflow distribution in urban residential areas, the average relative error between the simulation results of the FFD models and the wind tunnel experimental data is less than 15 %. The speeds of these FFD models show SIPC > NIPC > RIPC from fast to slow under the same number of grids, turbulence model and time step size, and these speeds are about 15 times faster than the commercial CFD code Ansys Fluent. The computing time of the three FFD models approximately shows a linear increase with the number of grids, and the difference in computing time between the other two FFD schemes and the SIPC scheme becomes larger and larger as the number of grids increases from 0.3 million to 3.0 million. There is almost no difference in the number of grids required to achieve grid independence for the three FFD models. On the premise of ensuring accuracy, the SIPC scheme has the fastest computational speed, and it could be preferred to quickly evaluate the airflow distribution of different residential areas in urban planning stage. |
| doi_str_mv | 10.1016/j.enbuild.2021.111635 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2629086597</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0378778821009191</els_id><sourcerecordid>2629086597</sourcerecordid><originalsourceid>FETCH-LOGICAL-c337t-6961e91ce7b3611665ec398b0d8954247c922003a49ac6775fa2feb8912d14b43</originalsourceid><addsrcrecordid>eNqFkEtPwzAQhC0EEqXwE5AscU7xI_HjhFBFAakSF-BqOfZGOEqTYjug_ntSpXdOe9iZ2Z0PoVtKVpRQcd-uoK_H0PkVI4yuKKWCV2doQZVkhaBSnaMF4VIVUip1ia5SagkhopJ0gT43NmXcdGPw2B96uwsu4RR2Y2dzGHo8NDh_AbYhNt3wi31IOYZ6PO4SDj0eY217HCEFD30OtsM2gk3X6KKxXYKb01yij83T-_ql2L49v64ft4XjXOZCaEFBUwey5mJ6W1TguFY18UpXJSul04wRwm2prRNSVo1lDdRKU-ZpWZd8ie7m3H0cvkdI2bTDGPvppGGCaaJEpeWkqmaVi0NKERqzj2Fn48FQYo4ITWtOCM0RoZkRTr6H2QdThZ8A0SQXoHfgQwSXjR_CPwl_NaJ8lw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2629086597</pqid></control><display><type>article</type><title>Fast fluid dynamics simulation of the airflow distributions in urban residential areas</title><source>Elsevier ScienceDirect Journals Complete - AutoHoldings</source><creator>Li, Ruibin ; Liu, Zhanpeng ; Feng, Lu ; Gao, Naiping</creator><creatorcontrib>Li, Ruibin ; Liu, Zhanpeng ; Feng, Lu ; Gao, Naiping</creatorcontrib><description>•Three schemes for fast solving N-S equations are implemented in OpenFOAM.•Computational speed of three FFD models is SIPC > NIPC > RIPC from fast to slow.•There is no difference in number of grids to achieve independence for these models.•SIPC model is suitable to quickly evaluate the airflow distribution in urban areas.
Conventional CFD models can resolve complex physical fields around single or multiple buildings with high spatial resolution, but they are unable to meet the demand for fast simulations with meter-level spatial resolution and minute-level temporal resolution due to the huge computational domain with numerous grids for urban residential areas. In this paper, three fast fluid dynamics (FFD) models with different pressure-correction schemes (i.e., SIPC, NIPC and RIPC) for solving Navier-Stokes (N-S) equations are implemented in OpenFOAM. The computational accuracy and speed of these FFD models is validated and analyzed through three cases. For the prediction of airflow distribution in urban residential areas, the average relative error between the simulation results of the FFD models and the wind tunnel experimental data is less than 15 %. The speeds of these FFD models show SIPC > NIPC > RIPC from fast to slow under the same number of grids, turbulence model and time step size, and these speeds are about 15 times faster than the commercial CFD code Ansys Fluent. The computing time of the three FFD models approximately shows a linear increase with the number of grids, and the difference in computing time between the other two FFD schemes and the SIPC scheme becomes larger and larger as the number of grids increases from 0.3 million to 3.0 million. There is almost no difference in the number of grids required to achieve grid independence for the three FFD models. On the premise of ensuring accuracy, the SIPC scheme has the fastest computational speed, and it could be preferred to quickly evaluate the airflow distribution of different residential areas in urban planning stage.</description><identifier>ISSN: 0378-7788</identifier><identifier>EISSN: 1872-6178</identifier><identifier>DOI: 10.1016/j.enbuild.2021.111635</identifier><language>eng</language><publisher>Lausanne: Elsevier B.V</publisher><subject>Accuracy ; Air flow ; Airflow distribution ; CAD ; Computational efficiency ; Computational fluid dynamics ; Computer aided design ; Computer applications ; Computing time ; Fast fluid dynamics (FFD) ; Fluid dynamics ; Fluid flow ; Hydrodynamics ; Neighborhoods ; OpenFOAM ; Pressure-correction schemes ; Residential areas ; Simulation ; Spatial discrimination ; Spatial resolution ; Temporal resolution ; Turbulence models ; Urban planning ; Wind tunnels</subject><ispartof>Energy and buildings, 2022-01, Vol.255, p.111635, Article 111635</ispartof><rights>2021 Elsevier B.V.</rights><rights>Copyright Elsevier BV Jan 15, 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-6961e91ce7b3611665ec398b0d8954247c922003a49ac6775fa2feb8912d14b43</citedby><cites>FETCH-LOGICAL-c337t-6961e91ce7b3611665ec398b0d8954247c922003a49ac6775fa2feb8912d14b43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.enbuild.2021.111635$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3549,27923,27924,45994</link.rule.ids></links><search><creatorcontrib>Li, Ruibin</creatorcontrib><creatorcontrib>Liu, Zhanpeng</creatorcontrib><creatorcontrib>Feng, Lu</creatorcontrib><creatorcontrib>Gao, Naiping</creatorcontrib><title>Fast fluid dynamics simulation of the airflow distributions in urban residential areas</title><title>Energy and buildings</title><description>•Three schemes for fast solving N-S equations are implemented in OpenFOAM.•Computational speed of three FFD models is SIPC > NIPC > RIPC from fast to slow.•There is no difference in number of grids to achieve independence for these models.•SIPC model is suitable to quickly evaluate the airflow distribution in urban areas.
Conventional CFD models can resolve complex physical fields around single or multiple buildings with high spatial resolution, but they are unable to meet the demand for fast simulations with meter-level spatial resolution and minute-level temporal resolution due to the huge computational domain with numerous grids for urban residential areas. In this paper, three fast fluid dynamics (FFD) models with different pressure-correction schemes (i.e., SIPC, NIPC and RIPC) for solving Navier-Stokes (N-S) equations are implemented in OpenFOAM. The computational accuracy and speed of these FFD models is validated and analyzed through three cases. For the prediction of airflow distribution in urban residential areas, the average relative error between the simulation results of the FFD models and the wind tunnel experimental data is less than 15 %. The speeds of these FFD models show SIPC > NIPC > RIPC from fast to slow under the same number of grids, turbulence model and time step size, and these speeds are about 15 times faster than the commercial CFD code Ansys Fluent. The computing time of the three FFD models approximately shows a linear increase with the number of grids, and the difference in computing time between the other two FFD schemes and the SIPC scheme becomes larger and larger as the number of grids increases from 0.3 million to 3.0 million. There is almost no difference in the number of grids required to achieve grid independence for the three FFD models. On the premise of ensuring accuracy, the SIPC scheme has the fastest computational speed, and it could be preferred to quickly evaluate the airflow distribution of different residential areas in urban planning stage.</description><subject>Accuracy</subject><subject>Air flow</subject><subject>Airflow distribution</subject><subject>CAD</subject><subject>Computational efficiency</subject><subject>Computational fluid dynamics</subject><subject>Computer aided design</subject><subject>Computer applications</subject><subject>Computing time</subject><subject>Fast fluid dynamics (FFD)</subject><subject>Fluid dynamics</subject><subject>Fluid flow</subject><subject>Hydrodynamics</subject><subject>Neighborhoods</subject><subject>OpenFOAM</subject><subject>Pressure-correction schemes</subject><subject>Residential areas</subject><subject>Simulation</subject><subject>Spatial discrimination</subject><subject>Spatial resolution</subject><subject>Temporal resolution</subject><subject>Turbulence models</subject><subject>Urban planning</subject><subject>Wind tunnels</subject><issn>0378-7788</issn><issn>1872-6178</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkEtPwzAQhC0EEqXwE5AscU7xI_HjhFBFAakSF-BqOfZGOEqTYjug_ntSpXdOe9iZ2Z0PoVtKVpRQcd-uoK_H0PkVI4yuKKWCV2doQZVkhaBSnaMF4VIVUip1ia5SagkhopJ0gT43NmXcdGPw2B96uwsu4RR2Y2dzGHo8NDh_AbYhNt3wi31IOYZ6PO4SDj0eY217HCEFD30OtsM2gk3X6KKxXYKb01yij83T-_ql2L49v64ft4XjXOZCaEFBUwey5mJ6W1TguFY18UpXJSul04wRwm2prRNSVo1lDdRKU-ZpWZd8ie7m3H0cvkdI2bTDGPvppGGCaaJEpeWkqmaVi0NKERqzj2Fn48FQYo4ITWtOCM0RoZkRTr6H2QdThZ8A0SQXoHfgQwSXjR_CPwl_NaJ8lw</recordid><startdate>20220115</startdate><enddate>20220115</enddate><creator>Li, Ruibin</creator><creator>Liu, Zhanpeng</creator><creator>Feng, Lu</creator><creator>Gao, Naiping</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>SOI</scope></search><sort><creationdate>20220115</creationdate><title>Fast fluid dynamics simulation of the airflow distributions in urban residential areas</title><author>Li, Ruibin ; Liu, Zhanpeng ; Feng, Lu ; Gao, Naiping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-6961e91ce7b3611665ec398b0d8954247c922003a49ac6775fa2feb8912d14b43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accuracy</topic><topic>Air flow</topic><topic>Airflow distribution</topic><topic>CAD</topic><topic>Computational efficiency</topic><topic>Computational fluid dynamics</topic><topic>Computer aided design</topic><topic>Computer applications</topic><topic>Computing time</topic><topic>Fast fluid dynamics (FFD)</topic><topic>Fluid dynamics</topic><topic>Fluid flow</topic><topic>Hydrodynamics</topic><topic>Neighborhoods</topic><topic>OpenFOAM</topic><topic>Pressure-correction schemes</topic><topic>Residential areas</topic><topic>Simulation</topic><topic>Spatial discrimination</topic><topic>Spatial resolution</topic><topic>Temporal resolution</topic><topic>Turbulence models</topic><topic>Urban planning</topic><topic>Wind tunnels</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Ruibin</creatorcontrib><creatorcontrib>Liu, Zhanpeng</creatorcontrib><creatorcontrib>Feng, Lu</creatorcontrib><creatorcontrib>Gao, Naiping</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Energy and buildings</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Ruibin</au><au>Liu, Zhanpeng</au><au>Feng, Lu</au><au>Gao, Naiping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fast fluid dynamics simulation of the airflow distributions in urban residential areas</atitle><jtitle>Energy and buildings</jtitle><date>2022-01-15</date><risdate>2022</risdate><volume>255</volume><spage>111635</spage><pages>111635-</pages><artnum>111635</artnum><issn>0378-7788</issn><eissn>1872-6178</eissn><abstract>•Three schemes for fast solving N-S equations are implemented in OpenFOAM.•Computational speed of three FFD models is SIPC > NIPC > RIPC from fast to slow.•There is no difference in number of grids to achieve independence for these models.•SIPC model is suitable to quickly evaluate the airflow distribution in urban areas.
Conventional CFD models can resolve complex physical fields around single or multiple buildings with high spatial resolution, but they are unable to meet the demand for fast simulations with meter-level spatial resolution and minute-level temporal resolution due to the huge computational domain with numerous grids for urban residential areas. In this paper, three fast fluid dynamics (FFD) models with different pressure-correction schemes (i.e., SIPC, NIPC and RIPC) for solving Navier-Stokes (N-S) equations are implemented in OpenFOAM. The computational accuracy and speed of these FFD models is validated and analyzed through three cases. For the prediction of airflow distribution in urban residential areas, the average relative error between the simulation results of the FFD models and the wind tunnel experimental data is less than 15 %. The speeds of these FFD models show SIPC > NIPC > RIPC from fast to slow under the same number of grids, turbulence model and time step size, and these speeds are about 15 times faster than the commercial CFD code Ansys Fluent. The computing time of the three FFD models approximately shows a linear increase with the number of grids, and the difference in computing time between the other two FFD schemes and the SIPC scheme becomes larger and larger as the number of grids increases from 0.3 million to 3.0 million. There is almost no difference in the number of grids required to achieve grid independence for the three FFD models. On the premise of ensuring accuracy, the SIPC scheme has the fastest computational speed, and it could be preferred to quickly evaluate the airflow distribution of different residential areas in urban planning stage.</abstract><cop>Lausanne</cop><pub>Elsevier B.V</pub><doi>10.1016/j.enbuild.2021.111635</doi></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0378-7788 |
| ispartof | Energy and buildings, 2022-01, Vol.255, p.111635, Article 111635 |
| issn | 0378-7788 1872-6178 |
| language | eng |
| recordid | cdi_proquest_journals_2629086597 |
| source | Elsevier ScienceDirect Journals Complete - AutoHoldings |
| subjects | Accuracy Air flow Airflow distribution CAD Computational efficiency Computational fluid dynamics Computer aided design Computer applications Computing time Fast fluid dynamics (FFD) Fluid dynamics Fluid flow Hydrodynamics Neighborhoods OpenFOAM Pressure-correction schemes Residential areas Simulation Spatial discrimination Spatial resolution Temporal resolution Turbulence models Urban planning Wind tunnels |
| title | Fast fluid dynamics simulation of the airflow distributions in urban residential areas |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T09%3A13%3A30IST&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=Fast%20fluid%20dynamics%20simulation%20of%20the%20airflow%20distributions%20in%20urban%20residential%20areas&rft.jtitle=Energy%20and%20buildings&rft.au=Li,%20Ruibin&rft.date=2022-01-15&rft.volume=255&rft.spage=111635&rft.pages=111635-&rft.artnum=111635&rft.issn=0378-7788&rft.eissn=1872-6178&rft_id=info:doi/10.1016/j.enbuild.2021.111635&rft_dat=%3Cproquest_cross%3E2629086597%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=2629086597&rft_id=info:pmid/&rft_els_id=S0378778821009191&rfr_iscdi=true |