Nesting an incompressible-flow code within a compressible-flow code: A two-dimensional study
•We consider coupling of meso- and micro-scale fluid dynamics codes for wind energy.•We introduce two numerical algorithms for one- and two-way coupling.•We examine the performance of the methods in an idealized two-dimensional system.•The methods can satisfactorily propagate a vortex from one domai...
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Veröffentlicht in: | Computers & fluids 2015-07, Vol.115, p.75-85 |
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description | •We consider coupling of meso- and micro-scale fluid dynamics codes for wind energy.•We introduce two numerical algorithms for one- and two-way coupling.•We examine the performance of the methods in an idealized two-dimensional system.•The methods can satisfactorily propagate a vortex from one domain to the other.
We consider numerical algorithms appropriate for one- and two-way coupling between meso-scale and micro-scale fluid-dynamics codes for wind energy computing. At the meso-scale is a numerical weather-prediction code, which is typically based on the compressible-flow Euler equations. At the micro-scale, surrounding one or more wind turbines, is a computational fluid dynamics code, which is typically based on the incompressible-flow Navier–Stokes equations. When calculating short-duration flow around wind turbines, one-way coupling is sufficient, where the meso-scale computational model drives the micro-scale model. However, in long-duration simulations involving large wind farms, the influence of the wind farm on the meso-scale weather may no longer be insignificant and two-way coupling is warranted. In this study, we focus on a simple two-dimensional system, for which our goal is to devise one- and two-way coupling algorithms that can effectively transport a vortex propagating in laminar flow from one domain to the other. Two coupling schemes and their numerical implementation are described: partial-boundary coupling and projection coupling. In the former, the micro-scale-domain boundary is decomposed, based on the meso-scale solution, into sections corresponding to inflow and outflow. The micro-scale model has Dirichlet- and Neumann-type boundary conditions on these sections, respectively. In projection coupling, the meso-scale solution is projected onto the incompressible-flow solution space in the micro-scale domain, from which Dirichlet-type boundary conditions are derived. In these simulations, the uncoupled meso-scale solution is taken as the reference, and the best coupling method is that which produces solutions that deviate the least from the reference. In one-way coupling, under a simple two-dimensional laminar-flow test case, partial-boundary coupling was more effective than projection coupling. However, in two-way coupling, projection coupling was the best performer. |
doi_str_mv | 10.1016/j.compfluid.2015.03.005 |
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We consider numerical algorithms appropriate for one- and two-way coupling between meso-scale and micro-scale fluid-dynamics codes for wind energy computing. At the meso-scale is a numerical weather-prediction code, which is typically based on the compressible-flow Euler equations. At the micro-scale, surrounding one or more wind turbines, is a computational fluid dynamics code, which is typically based on the incompressible-flow Navier–Stokes equations. When calculating short-duration flow around wind turbines, one-way coupling is sufficient, where the meso-scale computational model drives the micro-scale model. However, in long-duration simulations involving large wind farms, the influence of the wind farm on the meso-scale weather may no longer be insignificant and two-way coupling is warranted. In this study, we focus on a simple two-dimensional system, for which our goal is to devise one- and two-way coupling algorithms that can effectively transport a vortex propagating in laminar flow from one domain to the other. Two coupling schemes and their numerical implementation are described: partial-boundary coupling and projection coupling. In the former, the micro-scale-domain boundary is decomposed, based on the meso-scale solution, into sections corresponding to inflow and outflow. The micro-scale model has Dirichlet- and Neumann-type boundary conditions on these sections, respectively. In projection coupling, the meso-scale solution is projected onto the incompressible-flow solution space in the micro-scale domain, from which Dirichlet-type boundary conditions are derived. In these simulations, the uncoupled meso-scale solution is taken as the reference, and the best coupling method is that which produces solutions that deviate the least from the reference. In one-way coupling, under a simple two-dimensional laminar-flow test case, partial-boundary coupling was more effective than projection coupling. However, in two-way coupling, projection coupling was the best performer.</description><identifier>ISSN: 0045-7930</identifier><identifier>EISSN: 1879-0747</identifier><identifier>DOI: 10.1016/j.compfluid.2015.03.005</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Compressibility ; Computational fluid dynamics ; Computer simulation ; Joining ; Mathematical models ; MATHEMATICS AND COMPUTING ; Model coupling ; Multi-scale ; Navier-Stokes equations ; Numerical weather prediction ; Projection ; Two dimensional ; Wind energy</subject><ispartof>Computers & fluids, 2015-07, Vol.115, p.75-85</ispartof><rights>2015 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c457t-a09d1b4a319a25889a256b69a0b1053e5dc1799ecfa48833def42f501041ece13</citedby><cites>FETCH-LOGICAL-c457t-a09d1b4a319a25889a256b69a0b1053e5dc1799ecfa48833def42f501041ece13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S004579301500078X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,881,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1220694$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Sprague, Michael A.</creatorcontrib><creatorcontrib>Satkauskas, Ignas</creatorcontrib><creatorcontrib>National Renewable Energy Lab. (NREL), Golden, CO (United States)</creatorcontrib><title>Nesting an incompressible-flow code within a compressible-flow code: A two-dimensional study</title><title>Computers & fluids</title><description>•We consider coupling of meso- and micro-scale fluid dynamics codes for wind energy.•We introduce two numerical algorithms for one- and two-way coupling.•We examine the performance of the methods in an idealized two-dimensional system.•The methods can satisfactorily propagate a vortex from one domain to the other.
We consider numerical algorithms appropriate for one- and two-way coupling between meso-scale and micro-scale fluid-dynamics codes for wind energy computing. At the meso-scale is a numerical weather-prediction code, which is typically based on the compressible-flow Euler equations. At the micro-scale, surrounding one or more wind turbines, is a computational fluid dynamics code, which is typically based on the incompressible-flow Navier–Stokes equations. When calculating short-duration flow around wind turbines, one-way coupling is sufficient, where the meso-scale computational model drives the micro-scale model. However, in long-duration simulations involving large wind farms, the influence of the wind farm on the meso-scale weather may no longer be insignificant and two-way coupling is warranted. In this study, we focus on a simple two-dimensional system, for which our goal is to devise one- and two-way coupling algorithms that can effectively transport a vortex propagating in laminar flow from one domain to the other. Two coupling schemes and their numerical implementation are described: partial-boundary coupling and projection coupling. In the former, the micro-scale-domain boundary is decomposed, based on the meso-scale solution, into sections corresponding to inflow and outflow. The micro-scale model has Dirichlet- and Neumann-type boundary conditions on these sections, respectively. In projection coupling, the meso-scale solution is projected onto the incompressible-flow solution space in the micro-scale domain, from which Dirichlet-type boundary conditions are derived. In these simulations, the uncoupled meso-scale solution is taken as the reference, and the best coupling method is that which produces solutions that deviate the least from the reference. In one-way coupling, under a simple two-dimensional laminar-flow test case, partial-boundary coupling was more effective than projection coupling. However, in two-way coupling, projection coupling was the best performer.</description><subject>Compressibility</subject><subject>Computational fluid dynamics</subject><subject>Computer simulation</subject><subject>Joining</subject><subject>Mathematical models</subject><subject>MATHEMATICS AND COMPUTING</subject><subject>Model coupling</subject><subject>Multi-scale</subject><subject>Navier-Stokes equations</subject><subject>Numerical weather prediction</subject><subject>Projection</subject><subject>Two dimensional</subject><subject>Wind energy</subject><issn>0045-7930</issn><issn>1879-0747</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqNkU2LFDEQhoMoOK7-BoMnL91b1fnqeBsWVxcWvehNCJmk2s3Qk4ydHof993Yz4knQSxVFPfVSVS9jrxFaBNTX-zaUw3EYTym2HaBqQbQA6gnbYG9sA0aap2wDIFVjrIDn7EWte1hq0ckN-_aJ6pzyd-4zT3lVmqjWtBupGcZy5qFE4uc0P6TMPf97_x3f8vlcmpgOlGsq2Y-8zqf4-JI9G_xY6dXvfMW-3r7_cvOxuf_84e5me98EqczceLARd9ILtL5Tfb9GvdPWww5BCVIxoLGWwuBl3wsRaZDdoABBIgVCccXeXHTLcourIc0UHkLJmcLssOtAW7lAby_QcSo_TsvV7pBqoHH0mcqpOjS97tCaTv0HqpXVGoVeUHNBw1RqnWhwxykd_PToENzqj9u7P_641R8Hwi3-LJPbyyQtn_mZaFoXpxwopmndO5b0T41f00-dVQ</recordid><startdate>20150722</startdate><enddate>20150722</enddate><creator>Sprague, Michael A.</creator><creator>Satkauskas, Ignas</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><scope>7SC</scope><scope>7TB</scope><scope>7U5</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>OTOTI</scope></search><sort><creationdate>20150722</creationdate><title>Nesting an incompressible-flow code within a compressible-flow code: A two-dimensional study</title><author>Sprague, Michael A. ; Satkauskas, Ignas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c457t-a09d1b4a319a25889a256b69a0b1053e5dc1799ecfa48833def42f501041ece13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Compressibility</topic><topic>Computational fluid dynamics</topic><topic>Computer simulation</topic><topic>Joining</topic><topic>Mathematical models</topic><topic>MATHEMATICS AND COMPUTING</topic><topic>Model coupling</topic><topic>Multi-scale</topic><topic>Navier-Stokes equations</topic><topic>Numerical weather prediction</topic><topic>Projection</topic><topic>Two dimensional</topic><topic>Wind energy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sprague, Michael A.</creatorcontrib><creatorcontrib>Satkauskas, Ignas</creatorcontrib><creatorcontrib>National Renewable Energy Lab. (NREL), Golden, CO (United States)</creatorcontrib><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>OSTI.GOV</collection><jtitle>Computers & fluids</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sprague, Michael A.</au><au>Satkauskas, Ignas</au><aucorp>National Renewable Energy Lab. (NREL), Golden, CO (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nesting an incompressible-flow code within a compressible-flow code: A two-dimensional study</atitle><jtitle>Computers & fluids</jtitle><date>2015-07-22</date><risdate>2015</risdate><volume>115</volume><spage>75</spage><epage>85</epage><pages>75-85</pages><issn>0045-7930</issn><eissn>1879-0747</eissn><abstract>•We consider coupling of meso- and micro-scale fluid dynamics codes for wind energy.•We introduce two numerical algorithms for one- and two-way coupling.•We examine the performance of the methods in an idealized two-dimensional system.•The methods can satisfactorily propagate a vortex from one domain to the other.
We consider numerical algorithms appropriate for one- and two-way coupling between meso-scale and micro-scale fluid-dynamics codes for wind energy computing. At the meso-scale is a numerical weather-prediction code, which is typically based on the compressible-flow Euler equations. At the micro-scale, surrounding one or more wind turbines, is a computational fluid dynamics code, which is typically based on the incompressible-flow Navier–Stokes equations. When calculating short-duration flow around wind turbines, one-way coupling is sufficient, where the meso-scale computational model drives the micro-scale model. However, in long-duration simulations involving large wind farms, the influence of the wind farm on the meso-scale weather may no longer be insignificant and two-way coupling is warranted. In this study, we focus on a simple two-dimensional system, for which our goal is to devise one- and two-way coupling algorithms that can effectively transport a vortex propagating in laminar flow from one domain to the other. Two coupling schemes and their numerical implementation are described: partial-boundary coupling and projection coupling. In the former, the micro-scale-domain boundary is decomposed, based on the meso-scale solution, into sections corresponding to inflow and outflow. The micro-scale model has Dirichlet- and Neumann-type boundary conditions on these sections, respectively. In projection coupling, the meso-scale solution is projected onto the incompressible-flow solution space in the micro-scale domain, from which Dirichlet-type boundary conditions are derived. In these simulations, the uncoupled meso-scale solution is taken as the reference, and the best coupling method is that which produces solutions that deviate the least from the reference. In one-way coupling, under a simple two-dimensional laminar-flow test case, partial-boundary coupling was more effective than projection coupling. However, in two-way coupling, projection coupling was the best performer.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.compfluid.2015.03.005</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Compressibility Computational fluid dynamics Computer simulation Joining Mathematical models MATHEMATICS AND COMPUTING Model coupling Multi-scale Navier-Stokes equations Numerical weather prediction Projection Two dimensional Wind energy |
title | Nesting an incompressible-flow code within a compressible-flow code: A two-dimensional study |
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