[{"data":1,"prerenderedAt":368},["ShallowReactive",2],{"blog-article-pedestrian-wind-comfort-template":3},{"id":4,"title":5,"author":6,"authorAvatar":7,"authorDepartment":8,"authorUrl":7,"body":9,"description":346,"extension":347,"hero":348,"keywords":351,"meta":352,"navigation":354,"ogDescription":355,"ogTitle":5,"path":356,"publishedAt":357,"readingTime":358,"seo":363,"slug":364,"stem":365,"topic":366,"updatedAt":357,"__hash__":367},"blog\u002Fblog\u002F3_pedestrian_wind_comfort_template.md","From urban wind study to reusable CFD template","Rostyslav Lyulinetskyy",null,"Founder & CEO",{"type":10,"value":11,"toc":329},"minimark",[12,16,19,33,38,122,125,129,132,139,145,148,151,167,170,174,177,180,183,187,190,196,201,204,207,224,227,231,234,237,243,248,251,254,258,261,282,285,288,292,297,300,304,307,311,314,318,321],[13,14,15],"p",{},"Pedestrian wind comfort is not only a velocity plot. It is a study of how often\npeople experience wind conditions that are suitable for sitting, standing, or\nwalking around a building.",[13,17,18],{},"The dicehub Pedestrian Wind Comfort template turns this study into a repeatable\nCFD workflow. It combines an urban geometry, local weather data, simulations\nfrom the important wind directions, and accepted comfort criteria.",[13,20,21,22,27,28,32],{},"This article explains that workflow through our study of the Berliner\nBremsenwerk complex in Berlin. The complete\n",[23,24,26],"a",{"href":25},"https:\u002F\u002Fcdn.dicehub.cc\u002Fresults\u002Fv2\u002Fdicehub_Berliner_Bremsenwerk_Summary_v2.0.pdf","summary report","\nand\n",[23,29,31],{"href":30},"https:\u002F\u002Fcdn.dicehub.cc\u002Fresults\u002Fv2\u002Fdicehub_Berliner_Bremsenwerk_Analysis_v2.0.pdf","full analysis","\nare public.",[34,35,37],"h2",{"id":36},"study-facts","Study facts",[39,40,41,54],"table",{},[42,43,44],"thead",{},[45,46,47,51],"tr",{},[48,49,50],"th",{},"Input or result",[48,52,53],{},"Value",[55,56,57,66,74,82,90,98,106,114],"tbody",{},[45,58,59,63],{},[60,61,62],"td",{},"Weather station",[60,64,65],{},"Berlin-Tempelhof, DEU_BE_Berlin-Tempelhof.AP.103840_TMYx",[45,67,68,71],{},[60,69,70],{},"Distance from the site",[60,72,73],{},"6.44 km",[45,75,76,79],{},[60,77,78],{},"Historical wind period",[60,80,81],{},"1938–2007",[45,83,84,87],{},[60,85,86],{},"Long-term mean wind speed",[60,88,89],{},"4.05 m\u002Fs at 10 m height",[45,91,92,95],{},[60,93,94],{},"CFD wind directions",[60,96,97],{},"16",[45,99,100,103],{},[60,101,102],{},"Pedestrian evaluation height",[60,104,105],{},"2 m above ground",[45,107,108,111],{},[60,109,110],{},"Comfort criteria",[60,112,113],{},"Lawson and NEN8100",[45,115,116,119],{},[60,117,118],{},"Main result",[60,120,121],{},"No mitigation was strictly necessary; trees could improve comfort on the western to southwestern side",[13,123,124],{},"These values come from the published analysis report. They show why a useful\nwind comfort study needs more than one CFD case.",[34,126,128],{"id":127},"the-engineering-question","The engineering question",[13,130,131],{},"The Bremsenwerk site includes a large building volume, nearby structures, and\nan elevated railway. These features change the flow near entrances, corners,\npassages, and pedestrian areas.",[13,133,134],{},[135,136],"img",{"alt":137,"src":138},"CFD streamlines around the Berliner Bremsenwerk urban geometry","\u002Fsolutions\u002Fbb-cfd-streamlines.webp",[13,140,141],{},[142,143,144],"em",{},"Fig. 1: Streamlines around the Berliner Bremsenwerk geometry.",[13,146,147],{},"The study had to answer a direct question: where will people experience\nuncomfortable or unsafe wind conditions?",[13,149,150],{},"Local effects can include:",[152,153,154,158,161,164],"ul",{},[155,156,157],"li",{},"acceleration around building corners",[155,159,160],{},"downward flow along a facade",[155,162,163],{},"channelled flow through narrow passages",[155,165,166],{},"recirculation in sheltered areas",[13,168,169],{},"A design team needs the frequency of these effects, not only their presence in\none wind direction.",[34,171,173],{"id":172},"step-1-use-local-weather-data","Step 1: Use local weather data",[13,175,176],{},"The study used the Berlin-Tempelhof weather station, 6.44 km from the site. Its\nlong-term data showed that winds came mainly from the west to southwest. A\nsecond contribution came from the east.",[13,178,179],{},"The mean wind speed was 4.05 m\u002Fs at 10 m height. The west wind occurred most\noften, at 12.66%, with a speed of 4.31 m\u002Fs. The east wind occurred 10.89% of the\ntime, with a speed of 3.40 m\u002Fs.",[13,181,182],{},"This data gives each simulated direction a real frequency and velocity. Without\nit, a comfort map cannot represent the conditions that people are likely to\nexperience at the site.",[34,184,186],{"id":185},"step-2-simulate-the-relevant-directions","Step 2: Simulate the relevant directions",[13,188,189],{},"The assessment used 16 wind directions. Each direction had its own inlet wind\nspeed and frequency from the weather data.",[13,191,192],{},[135,193],{"alt":194,"src":195},"Sixteen wind directions used for the pedestrian wind comfort study","\u002Fsolutions\u002Fbb-wind-directions.webp",[13,197,198],{},[142,199,200],{},"Fig. 2: CFD results for the 16 wind directions.",[13,202,203],{},"This matters because the same building responds differently when the inlet\ndirection changes. A west wind can accelerate around one corner. An east wind\ncan expose a different passage or courtyard.",[13,205,206],{},"The workflow must keep the main assumptions consistent across all cases:",[152,208,209,212,215,218,221],{},[155,210,211],{},"computational domain",[155,213,214],{},"atmospheric boundary layer",[155,216,217],{},"terrain roughness",[155,219,220],{},"mesh refinement near buildings and pedestrian areas",[155,222,223],{},"result extraction height",[13,225,226],{},"The Bremsenwerk results were evaluated at 2 m above ground.",[34,228,230],{"id":229},"step-3-convert-flow-fields-into-comfort-maps","Step 3: Convert flow fields into comfort maps",[13,232,233],{},"The study assessed the combined CFD and weather data with Lawson and NEN8100\ncriteria.",[13,235,236],{},"Lawson criteria group conditions by activities such as sitting, standing,\nstrolling, and walking. NEN8100 uses a 5 m\u002Fs threshold and occurrence\nprobabilities to classify comfort for different activities.",[13,238,239],{},[135,240],{"alt":241,"src":242},"Pedestrian-level velocity field around the Berliner Bremsenwerk complex","\u002Fsolutions\u002Fbb-velocity-closeup.webp",[13,244,245],{},[142,246,247],{},"Fig. 3: Velocity field at pedestrian level.",[13,249,250],{},"Both methods gave similar results for this site. The report found no strict\nneed for mitigation. It also identified the western to southwestern side as an\narea where extra trees or landscaping could improve comfort.",[13,252,253],{},"That is the useful output: a location-based comfort assessment that a design\nteam can act on.",[34,255,257],{"id":256},"what-the-dicehub-template-makes-repeatable","What the dicehub template makes repeatable",[13,259,260],{},"The Pedestrian Wind Comfort template organizes the repeated parts of the study:",[262,263,264,267,270,273,276,279],"ol",{},[155,265,266],{},"Upload and prepare the urban geometry.",[155,268,269],{},"Select the site and weather data.",[155,271,272],{},"Define the wind directions and their frequencies.",[155,274,275],{},"Create the CFD domain, mesh, and boundary conditions.",[155,277,278],{},"Run the cases in the cloud.",[155,280,281],{},"Combine the results into pedestrian comfort maps.",[13,283,284],{},"The template does not remove engineering judgement. It keeps the setup\nconsistent, so an engineer can focus on the geometry, assumptions, result\nquality, and design response.",[13,286,287],{},"This is useful during design iteration. If a facade changes, a passage opens,\nor a mitigation measure is added, the team can run the same workflow again and\ncompare the results under the same assumptions.",[34,289,291],{"id":290},"frequently-asked-questions","Frequently asked questions",[293,294,296],"h3",{"id":295},"how-many-wind-directions-does-a-pedestrian-wind-study-need","How many wind directions does a pedestrian wind study need?",[13,298,299],{},"The required number depends on the site and the project standard. The\nBremsenwerk assessment used 16 directions at intervals of 22.5 degrees. This\ncaptured the main changes in direction while keeping the study practical.",[293,301,303],{"id":302},"why-is-local-weather-data-necessary","Why is local weather data necessary?",[13,305,306],{},"CFD gives the flow response for an inlet condition. Weather data gives the\nspeed and frequency of wind from each direction. A comfort assessment needs\nboth types of data.",[293,308,310],{"id":309},"at-what-height-are-pedestrian-wind-results-evaluated","At what height are pedestrian wind results evaluated?",[13,312,313],{},"The Bremsenwerk study evaluated velocity at 2 m above ground. The applicable\nstandard and project requirements must define the correct height for each new\nstudy.",[293,315,317],{"id":316},"do-high-local-velocities-always-require-mitigation","Do high local velocities always require mitigation?",[13,319,320],{},"No. Comfort depends on velocity, frequency, location, and intended pedestrian\nactivity. The Bremsenwerk CFD results had local acceleration zones, but the\ncombined Lawson and NEN8100 assessments found no strict need for mitigation.",[13,322,323,324,328],{},"Read the ",[23,325,327],{"href":326},"https:\u002F\u002Fdicehub.com\u002Fsolutions\u002Fpedestrian-wind-comfort","Pedestrian Wind Comfort solution page","\nto see the workflow, images, and published reports.",{"title":330,"searchDepth":331,"depth":331,"links":332},"",2,[333,334,335,336,337,338,339],{"id":36,"depth":331,"text":37},{"id":127,"depth":331,"text":128},{"id":172,"depth":331,"text":173},{"id":185,"depth":331,"text":186},{"id":229,"depth":331,"text":230},{"id":256,"depth":331,"text":257},{"id":290,"depth":331,"text":291,"children":340},[341,343,344,345],{"id":295,"depth":342,"text":296},3,{"id":302,"depth":342,"text":303},{"id":309,"depth":342,"text":310},{"id":316,"depth":342,"text":317},"A real pedestrian wind comfort study shows how site wind data, 16 CFD directions, and Lawson and NEN8100 criteria become a reusable workflow.","md",{"img":349},{"src":350},"\u002Fwelcome\u002Fblog\u002F2026-04-23-pedestrian-wind-comfort.webp","pedestrian wind comfort CFD urban wind microclimate Lawson NEN8100 OpenFOAM dicehub",{"sitemap":353},false,true,"See how a real Berlin wind study becomes a repeatable pedestrian wind comfort CFD workflow.","\u002Fblog\u002F3_pedestrian_wind_comfort_template","2026-08-31",{"text":359,"minutes":360,"time":361,"words":362},"4 min read",3.99,239400,798,{"title":5,"description":346},"pedestrian-wind-comfort-template","blog\u002F3_pedestrian_wind_comfort_template","dicehub HQ","lq2qvWStru-r-3C-I8f--eWMtAW2_lvOWaxhG70l4UA",1789502962720]