dologies and large-scale prototyping techniques from previous years, while bringing together a range of experts from internationally acclaimed academic institutions and practices, Architectural Association, Zaha Hadid Architects, among others.
AA Istanbul Visiting School will investigate the inherent associations between form, material, and structure through the rigorous implementation of innovative design and fabrication techniques. Computational methods for design, analysis, and fabrication will be coupled with physical experimentation. The key objective of AA Istanbul Visiting School will comprise the design and fabrication of a one-to-one scale prototype realized by the use of robotic fabrication techniques.
The programme will be formulated as a two-phase process:
Stage 1: Participants will gain an insight of material processes, computational methods, and various fabrication techniques, culminating with core concepts related to complexity in design practices. During this stage, basic and advanced tutorials on generative design algorithms and analysis tools will be provided.
Stage 2: Participants will propose design interventions based on the skills and knowledge gained during the first stage. Study models of various scales will be produced, finally followed by the robotic fabrication and assembly of a full scale working prototype which unifies the design goals of the programme.
The design agendas of AA Athens and AA Istanbul Visiting Schools will directly create feedback on one another, allowing participation in either one or both Programmes.
Prominent features of the programme / skills developed:
Participants will be part of an active learning environment where the large tutor to student ratio (4:1) allows for personalized tutorials and debates.
The toolset of AA Istanbul includes but is not limited to Rhinoceros and Grasshopper, as well as analysis software.
Participants will have access to advanced digital fabrication tools.
Robotic design and fabrication processes will formulate the physical prototyping phase of the programme.
Eligibility
The workshop is open to current architecture and design students, PhD candidates and young professionals. Prior software knowledge is not required.
Accreditation
Participants receive the AA Visiting School Certificate with the completion of the Programme.
Applications
The AA Visiting School requires a fee of £600 per participant, which includes a £60 Visiting Membership fee. Discount options for groups or for those wishing to apply for both AA Istanbul and AA Athens Visiting Schools are available. Please contact the AA Visiting School Coordinator for more details.
The deadline for applications is 14 June 2017. No portfolio or CV, only requirement is the online application form and fees.
For more information, please visit:
http://www.aaschool.ac.uk/STUDY/VISITING/istanbul
http://ai.aaschool.ac.uk/istanbul/
For inquiries, please contact:
elif.erdine@aaschool.ac.uk…
The PC actually stops working because after a few seconds the simulation starts the fan inside the PC all of a sudden stops and for the next 5-10 mins I cannot do anything, even alt+ctrl+canc. After I wait for that time i get the followig error:
the ReadMe says:
{0;0;0}0. Grid-based Radiance simulation1. The component is checking ad, as, ar and aa values. This is just to make sure that the results are accurate enough.2. -ar is set to 300.3. Good to go!4. Current working directory is set to: C:\Users\Luigi\Desktop\Prova__\Prova_1\gridBasedSimulation\5. Found a trans material... Resetting st parameter from 0.85 to 0.011276004966. WMIC PROCESS get Commandline7. WMIC PROCESS get Commandline8. WMIC PROCESS get Commandline9. WMIC PROCESS get Commandline10. WMIC PROCESS get Commandline11. WMIC PROCESS get Commandline12. WMIC PROCESS get Commandline13. WMIC PROCESS get Commandline14. WMIC PROCESS get Commandline15. WMIC PROCESS get Commandline16. WMIC PROCESS get Commandline17. WMIC PROCESS get Commandline18. WMIC PROCESS get Commandline19. WMIC PROCESS get Commandline20. WMIC PROCESS get Commandline21. WMIC PROCESS get Commandline22. WMIC PROCESS get Commandline23. WMIC PROCESS get Commandline24. WMIC PROCESS get Commandline25. WMIC PROCESS get Commandline26. WMIC PROCESS get Commandline27. WMIC PROCESS get Commandline28. WMIC PROCESS get Commandline29. WMIC PROCESS get Commandline30. WMIC PROCESS get Commandline31. WMIC PROCESS get Commandline32. WMIC PROCESS get Commandline33. WMIC PROCESS get Commandline34. WMIC PROCESS get Commandline35. WMIC PROCESS get Commandline36. WMIC PROCESS get Commandline37. WMIC PROCESS get Commandline38. WMIC PROCESS get Commandline39. WMIC PROCESS get Commandline40. WMIC PROCESS get Commandline41. WMIC PROCESS get Commandline42. WMIC PROCESS get Commandline43. WMIC PROCESS get Commandline44. WMIC PROCESS get Commandline45. WMIC PROCESS get Commandline46. WMIC PROCESS get Commandline47. WMIC PROCESS get Commandline48. WMIC PROCESS get Commandline49. WMIC PROCESS get Commandline50. WMIC PROCESS get Commandline51. WMIC PROCESS get Commandline52. WMIC PROCESS get Commandline53. WMIC PROCESS get Commandline54. WMIC PROCESS get Commandline55. WMIC PROCESS get Commandline56. 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WMIC PROCESS get Commandline178. WMIC PROCESS get Commandline179. WMIC PROCESS get Commandline180. WMIC PROCESS get Commandline181. WMIC PROCESS get Commandline182. WMIC PROCESS get Commandline183. WMIC PROCESS get Commandline184. WMIC PROCESS get Commandline185. WMIC PROCESS get Commandline186. WMIC PROCESS get Commandline187. WMIC PROCESS get Commandline188. WMIC PROCESS get Commandline189. WMIC PROCESS get Commandline190. WMIC PROCESS get Commandline191. WMIC PROCESS get Commandline192. WMIC PROCESS get Commandline193. WMIC PROCESS get Commandline194. WMIC PROCESS get Commandline195. WMIC PROCESS get Commandline196. WMIC PROCESS get Commandline197. WMIC PROCESS get Commandline198. Runtime error (IndexOutOfRangeException): index out of range: 0199. Traceback: line 320, in script
The thing is that if I raise the -aa parameter from 0.05 to 0.1 all works fine..
Is this only related to my PC then?? What should I do to solve this issue?
Thanks again for your help
Luigi…
tects to overcome the imposition of prefixed architectural forms in order to enhance performance-driven design and responsive kinetic solutions that interact with humans and environment. Lectures on parametric design simulation, generative and form finding as well as environmental optimization, analyzing and digital fabrication prototyping, are integrated together in 2 main modules. Students from the beginning of the school will be divided into groups to compete on a case project increasing their ability to define project parameters, design factors, solving problems, understanding factors relationships, involving environmental and human sensors, and optimizing their projects solutions in smart and inelegance way. In the beginning of the school, parametric modelling will be introduced (Rhino3d and Grasshopper) to build the necessary skills of parametric generative form methods to students. In this module will be dedicated to digital design methods and physical model making by various fabrication techniques, including laser cutting and 3D printing. Students will focus on the idea of creating algorithmic architectural form inspired by nature and their research will be supported by a series of lectures. Also they will be split into groups in order to develop projects assigned by the professors. This Module also adds Form Finding techniques to the parametric design strategies. Students will learn how material system behaviors, physical forces and responsive structure system can be digitally simulated into parametric models in order to explore complex forms that optimized and adapted to its natural behaviors, initial forces, material, particles, and structure systems. Series of lectures on form finding, natural structural algorithms, material behaviors, and physical forces will lead student to optimize their project forms. It is experimental laboratory in which kinetic interactive Architectural models are tested and designed. Students will develop novel solutions, building upon learning responsive kinetic systems. They will design Architectural responsive robotic systems inspired by nature. Projects will transform by adapting to environmental conditions and human behaviors happening at real and virtual levels.
…
he example file to this file so you can give it a try with any version of Honeybee that you're already using. The only requirement is to have OpenStudio installed as the component is using OpenStudio libraries to parse gbXML files. If you're using the latest version available on github the component is also available under WIP tab.
Why?
The main purpose of developing this component is to save time and effort for importing Revit models for energy and daylight analysis. It bothers me to see a lot of smart people spend a lot of time to just come up with solutions just to get the geometry from Revit to Honeybee for analysis. This component is not solving all the issue but is a first step forward. In an ideal world, the future version of Honeybee, which works both under DynamoBIM and Grasshopper should address this issue but that can take some time to be fully ready!
How?
To use this component you need to Export your Revit model as gbXML and then use the file path to load the file into Grasshopper. There are several resources available online on how to prepare the analytical model in Revit and export the gbXML file. Here is an image for importing the Revit 2017 sample model using the default settings. As you can see the model will be just as good as what your original gbXML file from Revit is.
What can be improved?
Well, there are several items that can be improved and they are mostly not on us. To get it started I add what I think are the 3 main shortcomings and my thoughts on how they can be addressed in the future. Feel free to add what you think needs to be added to this list in the comments section.
1. Revit analytical models and as the results gbXML files, by design, are not intended to be clean. Watch this presentation from the Autodesk University to see the logic behind this approach which in short is it doesn't matter for a large scale early stage energy model. Well, This will be quite a problem for studies that you can do with Honeybee. Included but not limited to daylight and comfort analysis.
The best solution that I can think of, until Autodesk fixes their exporter, is to use Revit Rooms and Spaces and generate a clean model from the scratch. We have already tried this approach in Revit but since the Revit API doesn't provide access to Room openings we had a very hard time to get it to work.
That's why that I opened an idea on Revit ideas to get over this issue. With your support we already have 81 votes, but it hasn't been enough to make them to consider the idea for an official review. If you haven't voted already and you think this will be a helpful feature take a moment and vote so we can have it implemented at some point in the future.
2. There is no way (that I know) to export only part of the model. The way export gbXML is set up in Revit is to export the whole model once together. As a result, if you have a huge model with 100 rooms and you want to get one of the rooms into Honeybee using this component you have to export the whole model, which can take some time, and then import them all back into Grasshopper. To partially address this issue I added an input to the component that allows you input a list of names for rooms that you're interested to be loaded into Grasshopper. You can use the name of the room/space in Revit as an input for the component.
3. The component doesn't import adjacencies, loads, schedules and HVAC systems. I wasn't able to export a gbXML file from Revit with any of this data except for the adjacency, but even if you can do that, the component currently can only import geometries and constructions. I hope we get access to 1 and so we don't have to use the xml file approach at all, but if that takes a very long time then we will add these features to the component.
Happy 2017!
Mostapha…
ization processes aiming in maximizing the quality of buildings based on the daylighting, light levels, radiation and views. The first webinar in the Optimization Bundle introduce participants to metaheuristic optimization solving techniques. The training will cover evolutionary and particle swarm optimization applied to environmental problems such as radiation or amount of sunlight hours confronted with views. Grasshopper plug-ins used: Silvereye, Galapagos, Octopus, Opossum, Ladybug, Honeybee, Elk, Leafcutter Adrian KrężlikAdrian is a co-founder of Architektura Parametryczna - the biggest Polish firm dedicated to parametric education and co-founder of Parametric Support, a Berlin tech startup developing optimizationtechniques for architecture.He worked and collaborated on large scale projects in China, Saudi Arabia, US for the most innovative companies like Zaha Hadid Architects in London, FREE Fernando Romero, Rojkind Arquitectos inMexico implementing digital strategies into design. In his work he focuses on use of new media in design and construction processes. He is an active player across parametric scene - teaching andorganizing workshops, participating in Design Weeks, lecturing Parametric Design and Robotic Fabrication at School of Form and collaborating with several universities.The online webinar lasts 2 hours. The same session takes place twice on 7 January 2017: 1st session (https://goo.gl/haXsus): 9am London, 10am Paris, 12pm Moscow, 1pm Dubai, 2:30pm Mumbai, 5pm Beijing, 6pm Tokyo, 8pm Melbourne 2nd session (https://goo.gl/S6463C): 10am Los Angeles, 1pm New York, 6pm London, 7pm Paris, 9pm Moscow www.rese-arch.org…
Added by Jan Pernecky at 1:04pm on January 2, 2017
requires four weather data inputs: air temperature (_dryBulbTemperature), relative humidity (relativeHumidity_), wind speed at 1.1 meters from the ground (windSpeed_) and mean radiant temperature (meanRadiantTemperature_).You can add values to the first three inputs from the Ladybug "Import Epw" component. For the last (meanRadiantTemperature_), you can add it from Ladybug's "Outdoor Solar Adjusted Temperature Calculator" component, or let "Thermal Comfort Index" component to calculate it. Both use different methods to calculate the final values.
I attached an example file below with second option.For more precise calculations you can use Honeybee and Chris' microclimate maps.An icing on the cake for the end: one of Ladybug developers yesterday released a set of Ladybug components for modelling in ENVI-met application. ENVI-met is cutting-edge microclimate software, which can be downloaded for free. It opens a number of advanced new analysis in outdoor domain, which couldn't have been done with the current Ladybug+Honeybee tools. So you can perform the simulation in ENVI-met 4 free software, and then add mean radiant temperature values from ENVI-met simulation to "Thermal Comfort Indices" component. Here is an example file.If you would like to go with the last approach, then the best would be to post a question about it in this topic.
1) You can make a polygonized tree.I haven't subtracted the trunk from the crown, but I guess it makes sense that it can be done.2) In most solar related simulations, a default albedo value of 0.2 is used. This corresponds to average albedo value taken from materials surrounding the urban or countryside location (concrete, grass, gravel, sand, asphalt...). However the presence of snow can significantly magnify the average albedo value several times. "Sunpath shading" components albedo_ input has an ability to calculate albedo due to presence of snow, if nothing is added to it (to albedo_ input). As you are performing the analysis of PET in a horizontal plane, it will not affect your calculations.3) Most thermal comfort indices will require performing analysis at 1.1 meters above the ground. This is considered to be height of standing person's gravity center.The same goes for PET index. So you are correct: you should place the analysis grid at 1.1 meters above the ground before adding it to the "Sunpath Shading" component.It is worth mentioning that "Thermal Comfort Indices" component used in this topic's PET_on_Grid2.gh and PET_on_Grid3.gh files is from last year, and much slower than the newest one (VER 0.0.64 MAR 18 2017) used in the example attached below. Just a remainder if you have been using older version of this component.Let me know if I misunderstood some of your questions, or if I missed to answer some of them.
EDIT: sorry for posting a double reply. When I posted it the first time, I only got links visible, with no text. Something has been wrong with grasshopper ning forum for the last couple of months.…
,with OpenfoamV1612+ in Windows 10 64bit.The blockmesh worked good.And the snappyhexmesh crashed in the process.My computer memory is not enough? Or some settings wrong?Could you help me solve this question?/---------------------------------------------------------------------------| ========= | || \ / F ield | OpenFOAM: The Open Source CFD Toolbox || \ / O peration | Version: v1612+ || \ / A nd | Web: www.OpenFOAM.com || \/ M anipulation | |*---------------------------------------------------------------------------*/Build : v1612+Exec : snappyHexMeshDate : Aug 27 2017Time : 09:39:54Host : "default"PID : 13443Case : /home/ofuser/workingDir/butterfly/outdoor_airflownProcs : 1sigFpe : Enabling floating point exception trapping (FOAM_SIGFPE).fileModificationChecking : Monitoring run-time modified files using timeStampMaster (fileModificationSkew 10)allowSystemOperations : Allowing user-supplied system call operations
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //Create time
Create mesh for time = 0
Read mesh in = 2.14 s
Overall mesh bounding box : (-241.5472 -241.4418 0) (496.4376 536.2438 144.8633)Relative tolerance : 1e-06Absolute matching distance : 0.001081851
Reading refinement surfaces.Read refinement surfaces in = 0.01 s
Reading refinement shells.Refinement level 3 for all cells inside around_buildings_area.stlRead refinement shells in = 0 s
Setting refinement level of surface to be consistent with shells.For geometry outdoor_airflow.stl detected 0 uncached triangles out of 120Checked shell refinement in = 0 s
Reading features.Read features in = 0 s
Determining initial surface intersections
Edge intersection testing:Number of edges : 1684728Number of edges to retest : 1684728Number of intersected edges : 5583Calculated surface intersections in = 1.68 s
Initial mesh : cells:554112 faces:1684728 points:576779Cells per refinement level:0 554112
Adding patches for surface regions
Patch Type Region
outdoor_airflow:
6 wall buildings
Added patches in = 0.03 s
Edge intersection testing:Number of edges : 1684728Number of edges to retest : 0Number of intersected edges : 5583Selecting decompositionMethod none
Refinement phase
Found point (127.4452 147.401 72.43167) in cell 402042 on processor 0
Surface refinement iteration 0
Marked for refinement due to surface intersection : 8820 cells.Determined cells to refine in = 3.87 sSelected for refinement : 8820 cells (out of 554112)Edge intersection testing:Number of edges : 1883850Number of edges to retest : 250376Number of intersected edges : 21198Refined mesh in = 1.77 sAfter refinement surface refinement iteration 0 : cells:615852 faces:1883850 points:652499Cells per refinement level:0 5452921 70560
Surface refinement iteration 1
Marked for refinement due to surface intersection : 38502 cells.Determined cells to refine in = 0.04 sSelected for refinement : 40392 cells (out of 615852)Edge intersection testing:Number of edges : 2787132Number of edges to retest : 1118049Number of intersected edges : 85655Refined mesh in = 3.17 sAfter refinement surface refinement iteration 1 : cells:898596 faces:2787132 points:990317Cells per refinement level:0 5432351 486812 306680
Surface refinement iteration 2
Marked for refinement due to surface intersection : 159213 cells.Determined cells to refine in = 0.1 sSelected for refinement : 168471 cells (out of 898596)Edge intersection testing:Number of edges : 6576117Number of edges to retest : 4737635Rhino Model and GH files is in t'he zip file.Please help me solve this question!~~…
y using the Honeybee_Update Honeybee component.
The video below (best viewed in full-screen mode) provides an idea of what these components are capable of being used for:
The video below shows how these components can be used in an existing Honeybee project (for additional links please open this video in youtube):
I have uploaded two examples as Hydra files that show how these components can be used for grid-point and image-based simulations:
Example1 : Grid Point Calculations
Example2: Image based simulation
Finally, a more esoteric application is demonstrated in this video:
These components are still in the beta-testing stage. Some of the limitations of the components are:
1. Only Type C photometry IES files are supported at present.
2. Rhino is likely to get sluggish if there are too many luminaires (i.e. light fixtures) present in a scene.
3. Due to the spectral limitations of the ray-tracing software (RADIANCE), simulations involving color mixing might not be physically realizable.
Additional details about photometric and spectral calculations are probably an overkill for this forum. However, I'd be glad to answer any related questions. Please report any bugs or request new features either on this forum or on Github.
Mostapha, Leland Curtis, Reinhardt Swart and Dr. Richard Mistrick provided valuable inputs during the development of these components.
Thanks,
Sarith
Update 16th January 2017:
An example with some new components and bug fixes since the initial release announcement can be found here
…
nd linear/planar tectonics. Within this new field of investigation, the Stuttgart VS will be researching into novel techniques of material mixtures and grading, associative design and double curvature surface generation.
For the second cycle of this exploration we will be based at the Institute for Lightweight Structures and Conceptual Design (ILEK) at the University of Stuttgart. Drawing from the Institute’s long history of experimentation and research on tensile structures instigated by Frei Otto in the 1960s and conducted at present by Werner Sobek, this year we will be focusing on the design and fabrication of materially graded membranes, as well as the application of UHPC and FGC on fabric formworks. The workflow followed will be divided into two stages:
1. Computing Membranes: Computational form finding methods will be taught by professional engineers and architects from ILEK and str.ucture GmbH. The aim will be to utilise the latest software technologies to form find membranes for textile structures, or fabric formworks for complex concrete structures. The results will be evaluated against criteria such as internal air pressure, as well as asymmetric and wind loading. The outcome of this research will inform the material grading procedures (i.e. changing the stiffness, thickness or porosity of the membranes themselves, or the consistency of the concrete poured into the formworks) that will follow in stage two.
2. Fabricated Grading: The digitally computed membranes or formworks will eventually be fabricated physically, utilising the workshop and robotic fabrication facilities at ILEK. The objective will be to rethink conventional research on tensile and concrete structures as isotropic constructs, by customising attributes such as materiality, reinforcement, rigidity, translucency, patterning, and porosity among others. The final, graded prototypes will be made up of mixtures of materials, all accurately engineered to respond to variable environmental, structural and aesthetic criteria, in essence forming multi-material structures that have finally caught up with the latest material developments.
Prominent Features of the workshop/ skills developed:
Teaching team consisting of AA diploma tutors and ILEK and str.ucture GmbH engineers.
Access to the Institute of Lightweight Structures and Conceptual Design (ILEK), the Materials Testing Institute and Concrete Spraying Robotic facilities at the University of Stuttgart, as well as to the office of str.ucture GmbH Structural Design Engineering.
Computational skills tuition on Grasshopper, Rhino Membrane, and Karamba.
Lectures series by leading academics and practitioners in architecture and engineering.
Fabrication of functionally graded membrane and/or concrete structures.
Eligibility
The workshop is open to current architecture and design students, PhD candidates and young professionals. Software Requirements: Rhino (SR7 or later) and Grasshopper.
Fees
The AA Visiting School requires a student fee of £595 and a young professional fee of £895 per participant, which includes a £60 Visiting membership fee.
The deadline for applications is 10 July 2017.
For more information, please visit:
http://www.aaschool.ac.uk/STUDY/VISITING/stuttgart?name=stuttgart
For inquiries, please contact:
mixedmatters@aaschool.ac.uk…
nts for Ladybug too. They are based on PVWatts v1 online calculator, supporting crystalline silicon fixed tilt photovoltaics.
You can download them from here, or use the Update Ladbybug component instead. If you take the first option, after downloading check if .ghuser files are blocked (right click -> "Properties" and select "Unblock").
You can download the example files from here.
Video tutorials will follow in the coming period.
In the very essence these components help you answer the question: "How much energy can my roof, building facade, solar parking... generate if I would populate them with PV panels"?
They allow definition of different types of losses (snow, age, shading...) which may affect your PV system:
And can find its optimal tilt and orientation:
Or analyse its performance, energy value, consumption, emissions...
By Djordje Spasic and Jason Sensibaugh, with invaluable support of Dr. Frank Vignola, Dr. Jason M. Keith, Paul Gilman, Chris Mackey, Mostapha Sadeghipour Roudsari, Niraj Palsule, Joseph Cunningham and Christopher Weiss.
Thank you for reading, and hope you will enjoy using the components!
EDIT: From march 27 2017, Ladybug Photovoltaics components support thin-film modules as well.
References:
1) System losses:
PVWatts v5 Manual, Dobos, NREL, 2014
2) Sun postion equations by Michalsky (1988):
SAM Photovoltaic Model Technical Reference, Gilman, NREL, 2014
edited by Jason Sensibaugh
3) Angle of incidence for fixed arrays:
PVWatts Version 1 Technical Reference, Dobos, NREL, 2013
4) Plane-of-Array diffuse irradiance by Perez 1990 algorithm:
PVPMC Sandia National Laboratories
SAM Photovoltaic Model Technical Reference, Gilman, NREL, 2014
5) Sandia PV Array Performance Module Cover:
PVWatts Version 1 Technical Reference, Dobos, NREL, 2013
6) Sandia Thermal Model, Module Temperature and Cell Temperature Models:
Photovoltaic Array Performance Model, King, Boys, Kratochvill, Sandia National Laboratories, 2004
7) CEC Module Model: Maximum power voltage and Maximum power current from:
Exact analytical solutions of the parameters of real solar cells using Lambert W-function, Jain, Kapoor, Solar Energy Materials and Solar Cells, V81 2004, P269–277
8) PVFORM version 3.3 adapted Module and Inverter Models:
PVWatts Version 1 Technical Reference, Dobos, NREL, 2013
9) Sunpath diagram shading:
Using sun path charts to estimate the effects of shading on PV arrays, Frank Vignola, University of Oregon, 2004
Instruction manual for the Solar Pathfinder, Solar Pathfinder TM, 2008
10) Tilt and orientation factor:
Application for Purchased Systems Oregon Department of Energy
solmetric.com
11) Photovoltaics performance metrics:
Solar PV system performance assessment guideline, Honda, Lechner, Raju, Tolich, Mokri, San Jose state university, 2012
CACHE Modules on Energy in the Curriculum Solar Energy, Keith, Palsule, Mississippi State University
Inventory of Carbon & Energy (ICE) Version 2.0, Hammond, Jones, SERT University of Bath, 2011
The Energy Return on Energy Investment (EROI) of Photovoltaics: Methodology and Comparisons with Fossil Fuel Life Cycles, Raugei, Fullana-i-Palmer, Fthenakis, Elsevier Vol 45, Jun 2012
12) Calculating albedo: Metenorm 6 Handbook part II: Theory, Meteotest 2007
13) Magnetic declination:
Geomag 0.9.2015, Christopher Weiss…