ing the maps to the broader community.
At the moment, there are just a few known issues left that I have to fix for complex geometric cases but they should run smoothly for most energy models that you generate with Honeybee. Within the next month, I will be clearing up these last issues and, by the end of the month, there will be an updated youtube tutorial playlist on the comfort tools and how to use them.
In the meantime, there's an updated example file (http://hydrashare.github.io/hydra/viewer?owner=chriswmackey&fork=hydra_2&id=Indoor_Microclimate_Map) and I wanted to get you all excited with some images and animations coming out of the design part of my thesis. I also wanted to post some documentation of all of the previous research that has made these climate maps possible and give out some much deserved thanks. To begin, this image gives you a sense of how the thermal maps are made by integrating several streams of data for EnergyPlus:
(https://drive.google.com/file/d/0Bz2PwDvkjovJaTMtWDRHMExvLUk/view?usp=sharing)
To get you excited, this youtube playlist has a whole bunch of time-lapse thermal animations that a lot of you should enjoy:
https://www.youtube.com/playlist?list=PLruLh1AdY-Sj3ehUTSfKa1IHPSiuJU52A
To give a brief summary of what you are looking at in the playlist, there are two proposed designs for completely passive co-habitation spaces in New York and Los Angeles.
These diagrams explain the Los Angeles design:
(https://drive.google.com/file/d/0Bz2PwDvkjovJM0JkM0tLZ1kxUmc/view?usp=sharing)
And this video gives you and idea of how it thermally performs:
These diagrams explain the New York design:
(https://drive.google.com/file/d/0Bz2PwDvkjovJS1BZVVZiTWF4MXM/view?usp=sharing)
And this video shows you the thermal performance:
Now to credit all of the awesome people that have made the creation of these thermal maps possible:
1) As any HB user knows, the open source engines and libraries under the hood of HB are EnergyPlus and OpenStudio and the incredible thermal richness of these maps would not have been possible without these DoE teams creating such a robust modeler so a big credit is definitely due to them.
2) Many of the initial ideas for these thermal maps come from an MIT Masters thesis that was completed a few years ago by Amanda Webb called "cMap". Even though these cMaps were only taking into account surface temperature from E+, it was the viewing of her radiant temperature maps that initially touched-off the series of events that led to my thesis so a great credit is due to her. You can find her thesis here (http://dspace.mit.edu/handle/1721.1/72870).
3) Since the thesis of A. Webb, there were two key developments that made the high resolution of the current maps believable as a good approximation of the actual thermal environment of a building. The first is a PhD thesis by Alejandra Menchaca (also conducted here at MIT) that developed a computationally fast way of estimating sub-zone air temperature stratification. The method, which works simply by weighing the heat gain in a room against the incoming airflow was validated by many CFD simulations over the course of Alejandra's thesis. You can find here final thesis document here (http://dspace.mit.edu/handle/1721.1/74907).
4) The other main development since the A. Webb thesis that made the radiant map much more accurate is a fast means of estimating the radiant temperature increase felt by an occupant sitting in the sun. This method was developed by some awesome scientists at the UC Berkeley Center for the Built Environment (CBE) Including Tyler Hoyt, who has been particularly helpful to me by supporting the CBE's Github page. The original paper on this fast means of estimating the solar temperature delta can be found here (http://escholarship.org/uc/item/89m1h2dg) although they should have an official publication in a journal soon.
5) The ASHRAE comfort models under the hood of LB+HB all are derived from the javascript of the CBE comfort tool (http://smap.cbe.berkeley.edu/comforttool). A huge chunk of credit definitely goes to this group and I encourage any other researchers who are getting deep into comfort to check the code resources on their github page (https://github.com/CenterForTheBuiltEnvironment/comfort_tool).
6) And, last but not least, a huge share of credit is due to Mostapha and all members of the LB+HB community. It is because of resources and help that Mostapha initially gave me that I learned how to code in the first place and the knowledge of a community that would use the things that I developed was, by fa,r the biggest motivation throughout this thesis and all of my LB efforts.
Thank you all and stay awesome,
-Chris…
de modelación en 3D y aprovechen las ventajas que plantean, como mejorar su proceso de diseño y explorar múltiples alternativas para un proyecto en lapsos de tiempo muy reducidos en comparación de los métodos tradicionales.
En consecuencia, los alumnos tendrán la posibilidad de disminuir sus tiempos de trabajo, con resultados iguales o incluso mejores a los que obtenían con anterioridad; mejorar la calidad de sus presentaciones y, lo que es más importante, ampliar la fundamentación de sus proyectos en el aspecto funcional y formal, dependiendo de las características del proyecto.
Para lograr estos objetivos, se contemplan dos temarios y un ejercicio práctico.
Al finalizar el curso, los asistentes serán capaces de manejar Rhinoceros y Grasshopper en un nivel medio, con el objetivo que el alumno pueda continuar aprendiendo con alguno de nuestros siguientes workshops o de manera autodidacta.
Además del contenido teórico se incluye un ejercicio práctico, la magnitud del ejercicio y el material que se le destine se definirán con base en el número de asistentes.
El workshop tiene una duración de cinco sesiones:
Sesión 1 – Temario de Rhinoceros
Sesión 2 y 3 – Temario de Grasshopper
Sesión 4 y 5 – Ejercicio práctico
El horario es de 9 am a 4 pm, con una hora de receso para tomar un refrigerio.
No es necesario traer el equipo necesario para trabajar, se cuenta con un equipo para cada persona asi como el material de trabajo para el ejercicio práctico, por lo cual se les recomienda que no traigan portátiles u otro material, únicamente dispositivos de almacenamiento si desean guardar sus trabajos.
El costo del evento es de $3,500 estudiantes y $4,000 profesionales.
(Para poder tener el descuento de estudiante es necesaria una constancia de la universidad de la que proviene, acreditando que el interesado está cursando algún semestre de la carrera. Personas graduadas que estén cursando una maestría o algún grado superior no reciben el descuento).
Para apartar su lugar pueden realizar un depósito de $1,500 y terminar de efectuar el pago antes del 15 de abril si es mediante un depósito bancario o el primer día del evento en efectivo.
El evento se realizará en las oficinas de Vegasot, ubicadas en Circuito Cirujanos No. 23-A
Cd. Satélite, Naucalpan, Edo. de México 53100
http://www.vegasoft.com.mx
Para cualquier duda por favor escriban un correo a luzytextura@gmail.com, por teléfono al 044 55 4381 3302, o en facebook.com/archbernardorivera…
giornata inaugurale sarà dedicata alla free-lecture introduttiva finalizzata alla realizzazione di un modello d'architettura complesso attraverso l'utilizzo di comandi e tecniche avanzate di rappresentazione con Grasshopper (plug-in parametrica di Rhinoceros) e 3dsMax. Sarà illustrato inoltre il potenziale di V-ray per 3dsMax realizzando un rendering concettuale. Durante il mini-corso dell' openDAY verranno mostrate le caratteristiche e le potenzialità degli strumenti per far luce sui nuovi valori assunti dalla modellazione 3D. La modellazione 3D sta interessando un pubblico sempre più vasto inserendosi in una nuova fase di ampia disponibilità per conoscenze, software, hardware di prototipazione e modelli. Pur mantenendo tutti i suoi valori già noti la questione si è talmente ampliata fino ad interessare norme giuridiche (diritti sui modelli ,concorrenza con offerte di servizi apparentemente simili, informazioni deformate e onfusione nei media) Makers University[http://www.makersuniversity.com], in collaborazione con parametricart, vi propone un punto di vista ampio e sintetico su queste tematiche.
Al termine della free-lecture, sarà illustrata l'offerta formativa [CLICCA QUI] di parametricart riferita ai corsi che si terranno nei mesi di Gennaio e Febbraio 2013 inseriti all'interno della più ampia programmazione della Makers University. SONO PREVISTE TARIFFE PROMOZIONALI PER COLORO CHE SI ISCRIVERANNO AI CORSI durante l'OpenDAY.
La lezione e la presentazione si terranno nel nuovo spazio co-working il PEDONE.
PROGRAMMAZIONE
- I temi della Makers University [Leo Sorge];
- Modellazione della parametricTower (concept di architettura complessa) utilizzando Grasshopper, applicativo per la modellazione parametrica [VIDEO] [Michele Calvano];
- Modellazione di una copertura reticolare 3D a completamento della parametricTower con 3dsMax utilizzando tecniche di modellazione mesh complesse [Wissam Wahbeh];
- Rendering con V-ray per 3dsMax illustrando la nuova interfaccia nodale [Wissam Wahbeh].
- Question Time per chiarimenti sugli argomenti illustrati.
COME
L'openDAY sarà aperto a tutti gli interessati,completamente gratuito e sarà replicato in tre sessioni di uguali contenuti organizzate nei seguenti orari:
Sessione [1] 11,30 - 13,30
Sessione [2] 15,30 - 17,30
Sessione [3] 17,30 - 19,30
Per necessità di organizzazione è importante la prenotazione all'evento utilizzando il form in fondo alla pagina specificando nella stringa apposita, il nome dell'evento e la sessione (es. open day sessione 1) oltre agli altri dati richiesti.…
to incorporating math and geometry in computational design education, Paneling Tools
Marlo Ransdell, PhD Creative Director, at FSU , Digital Fabrication in Design Research and Education
Andy Payne, LIFT architects | Harvard GSD | FireFly
Jay H Song, Chair, Jewelry School of Design, Jewelry as Personal Expression, Extra+Ordinary@Jewelry.com
Pei- Jung (P.J.) Chen, Professor of Jewelry, SCAD
Gustavo Fontana, designer/co-founder nimbistand, Diseñar, desarrollar y comercializar productos por tu cuenta.
Joe Anand, CEO MecSoft Corporation, RhinoCAM
Julian Ossa, Chair, Industrial Design Director, Diseño – Una opción de vida a todo vapor!, UPB
Minche Mena, SHINE Architecture, Principal
J. Alstan Jakubiec, Daylighting and Environmental Performance in Architectural Design Solemma, LLC
Carlos Garnier R&D Director / Jaime Cadena – General Director, Plug Design, www.plugdesign.com.mx
Mario Nakov, www.chaosgroup.com [ V-Ray ]
Andres Gonzalez, RhinoFabStudio
Workshops:
o) Paneling Tools
o) RhinoCAM
o) Rhinology in Design, for Jewelry
o) Footwear
o) V-Ray: Jewelry Design
o) V-Ray: Architects and Industrial Designers
o) FireFly
o) J. Alstan Jakubiec, DIVA
The cost for each workshop or the Lectures is 95.0 US$
To register:
WORK-SHOPS April 2 - RHINO DAY
WORK-SHOPS April 3 - RHINO DAY
REGISTRATION RHINO DAY
NOTE: All students and faculty members that register to this event, will receive a Rhino 5 Educational License at the event.
…
the results myself and I am open to changing the name/description of the input based on what you have found here. modulateFlowOrTemp is not the best name for what seems to be going on and we should change it to reflect more what is happening in the IDF.
Here is how I am understanding the results of the different cases:
1) When the variable flow option is selected (and the outdoor air set to "None"), the heating and cooling of the space seems to happen only through re-circulation of the indoor air. My comparison to a VAV system was not appropriate and perhaps it would be better to compare it to a window air conditioner or a warm air furnace, which, as far as I understand, only re-circulate indoor air and do not bring in outside air.
2) My reasoning for the name modulateFlowOrTemp came mostly from my realization that the supply air temperature remained within the defined limits when the variable flow option is selected (and the outdoor air set to "None"). When the outdoor air was set to Maximum or Sum, the supply air temperature went way out of the temperature limits that I initially set. I realize now that the flows are varying in both cases and the name of the input really must change.
3) I think that the reason why we don't see any effect from the air side economizer is because the heating/cooling energy results that you get from an ideal air system are just the sum of the sensible and the latent heat added/removed from the zone by the system. This value of heat added or removed from the zone does not change whether the added/removed heat comes from outside air or from a cooling/heating coil. Since there is no cooling coil or boiler or chiller in an ideal air system, there is no way to request an output of the energy added/removed by such a coil or chiller as opposed to that removed/added by outside air. In other words, the air side economizer option on the ideal air system is practically useless because it does not help us differentiate the cooling that comes from the outside air vs. that which comes from a coil. All that it does is change the outdoor air fraction while keeping the reported cooling/heating values the same.
Please let me know if you think that this explanation makes sense, Burin and, in light of all this, I am very interested in your suggestions.
From my own perspective, I am now convinced that the default should definitely have the outside air requirements set to "None" since, otherwise, we cannot distinguish cooling/heating that happens from addition of outside air and that which must be supplied by a coil. At least when we get rid of the outside air requirement, we can be sure that the ideal air system values are only showing heating/cooling from a coil or HVAC system.
I have decided to remove the airsideEconomizer input since it seems to give misleading expectations. I am going to recommend here on out that, if you want to estimate the effect of increasing outside air on cooling, you should use the "Set EP Airflow" component, use fan-driven natural ventilation, and you should connect a custom CSV schedule of airflow. You will have to create such a schedule with native GH components using the outside air temperature, your zone setpoints, and the times that you are cooling in your initial run of E+. Either you do this or you set up a full-blown system with OpenStudio.
I have also decided to get rid of the heatRecovery input since it seems like this will also produce misleading expectations by the same logic.
Lastly, I am going to change the name of the modulateFlowOrTemp_ input to outdoorAirReq_. The default will be to have no indoor air requirement as stated above but you can input either "maximum" or "sum" to have the IDF run accordingly.
Let me know if this sounds good or if you have suggestions. Updated GH file attached. The github has the new Ideal Air Loads component. Make sure that you have sync correctly and restart GH after updating your components.
-Chris…
with this machine.
As Jason says, Rhino and Grasshopper are mainly single-threaded, so I prioritized single core speed and got an i7 4790k, which comfortably overclocks to 4.7GHz (with a decent air cooler, but no fancy liquid cooling).
The Kangaroo2 solver is actually multi-threaded now, but the difference this makes is not great as you might imagine. Using 4 cores is certainly nowhere near 4 times faster, because although parts of the calculation are easily parallelized, everything still needs to be recombined at each iteration, and this is usually the bottleneck. I think there is still room for some improvement in how it is multi-threaded, but I wouldn't hold your breath for any massive changes on this front soon.
I'd be interested to know how the performance scales with the Xeon chips (more cores, significantly more expensive, but relatively low clock speeds). At the time I made the guess that they weren't worth it, but it would be good to really test this out.
RAM is relatively cheap these days, so I went with 32GB of it at 2133MHz. It does seem that the speed of the RAM matters, as enabling XMP in the BIOS (to make it run above the default 1333) seemed to make a noticeable difference.
Graphics-wise my personal feeling is that the gaming oriented GTX cards offer better value than the much more expensive 'professional' Quadro range - and have read that the hardware between the 2 has historically been very similar or even identical despite the Quadros being several times the price, with the difference being mainly in the drivers. There are some threads on discourse.mcneel.com about this, and it seems that recent GTX cards like the 970 do very well in Holomark (the Rhino performance benchmarking tool).
I got a GTX 770 (this was just before the 900 series came out), which is probably way overkill just for Rhino/Grasshopper, as they don't use the GPU for more than display (Though some of the render plugins do, and I think for those more CUDA cores is what matters, so there GTX is probably still better value.)
Probably swapping this for a much cheaper card wouldn't make much difference to Rhino/GH performance anyway (though if you want to use the PC for other stuff like gaming or virtual reality it does).
I don't have much experience with AMD cards, so can't comment on how they compare to Nvidia.
Eventually I do hope to make Kangaroo run the physics on the GPU, and potentially this does have a big speed impact. Nvidia recently released some impressive demos of their FLEX engine, which really fly with a decent graphics card. That is very much game-physics, and not suitable for most of the things Kangaroo is used for, but theoretically Kangaroo could also be adapted to use CUDA (or OpenCL), though it involves a lot of big changes, and I don't have a timeline for this yet.
In the much shorter term there are some things in the pipeline that should speed up Kangaroo for certain things like collisions between large numbers of objects, just by using some different algorithms.
Altogether my machine was still well under €2K, and I've been really happy with it. That said, the difference in performance between this and my 4 year old €700 i5 laptop is actually not that huge in day-to-day Grasshopper usage. It does seem that there is a strong case of diminishing returns with buying a PC - I'd hazard a guess that even spending 3 times this amount (as another thread on this forum was discussing recently) you'd be hard pushed to get anything that made a really significant difference to the experience of using it, and if you really want to spend more money, you would be better off just upgrading more frequently (and getting a nice monitor(s)).
Anyway, a long ramble, I hope some of it is useful. As I said, I'm no hardware expert, and would be interested to hear different opinions.
I also think it will be nice to make a simple benchmarking tool for Kangaroo and have people run it on their various machines and report back results (as with Holomark), to help others make informed decisions on these things. I'll try and put something together for this soon.
…
onents (radiation, sunlight-hours and view analysis) which let you study the effect of the orientation of your building and the analysis result. When you come to a question similar to "what is the orientation that the building receives the most/least amount of radiation?" is probably the right time to use this component.
HOW?
I'll try to explain the steps using a simple example. Here is my design geometries. The building in the center is the building to be designed and the rest of the buildings are context. I want to see the effect of orientation on the amount of the radiation on the test building surfaces from the start of Oct. to the end of Feb. for Chicago.
First I need to set up the normal radiation analysis and run it for the building as it is right now. [I'm not going to explain how you can set up this since you can find it in the sample file (Download the sample file from here)]
Now I need to set up the parameters for orientation study using orientationStudyPar component. You can find it under the Extra tab:
At minimum I need to input the divisionAngle, and the totalAngle and set runTheStudy to True. In this case I put 45 for divisionAngle and 180 for the totalAngle which means I want the study to be run for angles 0, 45, 90, 135 and 180.
[Note1: The divisionAngle should be divisible by totalAngle.]
[Note 2: If you don't provide any point for the basePoint, the component will use the center of the geometry as the center of the rotation.]
[Note 3: You can also rotate the context with the geometry! Normally you don't have the chance to change the context to make your design work but if you got lucky the rotateContext input is for you! Set it to True. The default is set to False.]
You're all set for the orientation study, just connect the orientationStudyPar output to OrientationStudyP input in the component and wait for the result!
The component will run the study for all the orientations and preview the latest geometry. To see the result just grab a quick graph and connect it to totalRadiation. As you can see in the graph 135 is the orientation that I receive the maximum radiation. Dang!
If you want to see all the result geometries set bakeIt to True, and the result will be baked under LadyBug> RadaitionStudy>[projectname]> . The layer name starts with a number which is the totalRadiation.
Mostapha…
oftware connections built from the initial seed of the project. As always you can download the new release from Food4Rhino. Make sure to remove the older version of Ladybug and Honeybee and update your scripts.
This release is also special since today it is just about 3 years (3 years and 2 weeks) from the first release of Ladybug. As with any release, there have been a number of bug fixes and improvements but we also have some major news this time. In no specific order and to ensure that the biggest developments do not get lost in the extensive list of updates, here are the major ones:
Mostapha is re-writing Ladybug!
Ladybug for DynamoBIM is finally available.
Chris made bakeIt really useful by incorporating an export pathway to PDFs and vector-based programs.
Honeybee is now connected to THERM and the LBNL suite thanks to Chris Mackey.
Sarith has addressed a much-desired wish for Honeybee (Hi Theodore!) by adding components to model electric lighting with Radiance.
Djordje is on his way to making renewable energy deeply integrated with Ladybug by releasing components for modeling solar hot water.
There is new bug. Check the bottom of the post for Dragonfly!
Last but definitely not least (in case you’re not still convinced that this release is a major one) Miguel has started a new project that brings some of Ladybug’s features directly to Rhino. We mean Rhino Rhino - A Rhino plugin! Say hi to Icarus! #surprise
Before we forget! Ladybug and Honeybee now have official stickers. Yes! We know about T-Shirts and mugs and they will be next. For now, you can deck-out your laptops and powerhouse simulation machines with the symbology of our collaborative software ecosystem.
Now go grab a cup of tea/coffee and read the details below:
Rewriting Ladybug!
Perhaps the most far-reaching development of the last 4 months is an effort on the part of Mostapha to initiate a well structured, well documented, flexible, and extendable version of the Ladybug libraries. While such code is something that few community members will interact with directly, a well-documented library is critical for maintaining the project, adding new features, and for porting Ladybug to other software platforms.
The new Ladybug libraries are still under development across a number of new repositories and they separate a ladybug-core, which includes epw parsing and all non-geometric functions, from interface-specific geometry libraries. This allows us to easily extend Ladybug to other platforms with a different geometry library for each platform (ie. ladybug-grasshopper, ladybug-dynamo, ladybug-web, etc) all of which are developed on top of the ladybug-core.
Without getting too technical, here is an example of a useful outcome of this development. If you want to know the number of hours that relative humidity is more than 90% for a given epw, all that you have to code (in any python interface) is the following:
import ladybug as lb
_epwFile = r"C:\EnergyPlusV7-2-0\WeatherData\USA_CO_Golden-NREL.724666_TMY3.epw"
epwfile = lb.epw.EPW(_epwFile)
filteredData = epwfile.relativeHumidity.filterByConditionalStatement('x>90')
print "Number of hours with Humidity more than 90 is %d "%len(filteredData.timeStamps)
Compare that to the 500 + lines that you would have had to write previously for this operation, which were usually tied to a single interface! Now let’s see what will happen if you want to use the geometry-specific libraries. Let’s draw a sunpath in Grasshopper:
import ladybuggrasshopper.epw as epw
import ladybuggrasshopper.sunpath as sunpath
# get location data form epw file
location = epw.EPW(_epwFile).location
# initiate sunpath based on location
sp = sunpath.Sunpath.fromLocation(location, northAngle = 0, daylightSavingPeriod = None, basePoint =cenPt, scale = scale, sunScale = sunScale)
# draw sunpath geometry
sp.drawAnnualSunpath()
# assign geometries to outputs
...
Finally we ask, how would this code will look if we wanted to make a sunpath for dynamo? Well, it will be exactly the same! Just change ladybuggrasshopper in the second line to ladybugdynamo! Here is the code which is creating the sunpath below.
With this ease of scripting, we hope to involve more of our community members in our development and make it easy for others to use ladybug in their various preferred applications. By the next release, we will produce an API documentation (documentation of all the ladybug classes, methods and properties that you can script with) and begin making tutorials for those interested in getting deeper into Ladybug development.
LADYBUG
1 - Initial Release of Ladybug for Dynamo:
As is evident from the post above, we are happy to announce the first release of Ladybug for Dynamo! You can download the ladybug package from Dynamo package manager. Make sure to download version 0.0.6 which is actually 0.0.1! It took a number of trial and errors to get it up there. Once you have the file downloaded you can watch these videos to get started:
The source code can be find under ladybug-dynamo repository and (as you can already guess) it is using the new code base. It includes a very small toolkit of essential Ladybug components/nodes but it has enough to get you started. You can import weather files, draw sunpaths and run sunlighthours or radiation analyses.
There are two known issues in this release but neither of them is critical. You need to have Dynamo 0.9.1 or higher installed which you can download from here (http://dynamobuilds.com/). It is recommended that you run the scripts with ‘Manual’ run (as opposed to ‘Automatic’) since the more intense calculations can make Dynamo crash in automatic mode.
To put things in perspective, here is how we would map Ladybug for Dynamo vs Ladybug and Honeybee for Grasshopper on the classic ‘Hype graph’. The good news is that what we learned a lot from the last three years, making development of the Dynamo version easier and getting us to the plateau of productivity faster.
We should also note that the current development of the Dynamo interface is behind that of the Ladybug-Core, which means there are a number of features that are developed in the code but haven’t made their way to the nodes yet. They will be added gradually over the next month or two.
If you’re interested to get involved in the development process or have ideas for the development, follow ladybug on Facebook, Twitter and Github. We will only post major release news here. Facebook, github and twitter will be the main channels for posting the development process. There will also be a release of a new ladybug for Grasshopper soon that will use the came Ladybug-Core libraries as the Dynamo interface [Trying hard not to name it as Ladybug 2].
2 - New Project “Icarus” Provides Ladybug Capabilities Directly in Rhino
Speaking of expanded cross-platform capabilities, the talented Miguel Rus has produced a standalone Rhino Plugin off of the original Ladybug code that has been included in this release. After writing his own core C# libraries, Miguel’s plugin enables users to produce sunpath and run sunlight hours analyses in the Rhino scene without need of opening Grasshopper or engaging the (sometimes daunting) act of visual scripting.
This release includes his initial RHP plugin file. It is hoped that Miguel’s efforts will extend some of the capabilities of environmental design to individuals who are unfamiliar with visual scripting, casting the network of our community into new territory. We need your help spreading the word about Icarus since the people who will benefit the most from it have probably not read this far into the release notes. Also, as the project is in the early stages, your feedback can make a great difference. You can download the current release from this link.
Once you download the zip file. Right click and unblock it. Then extract the files under C:\Program Files\Rhinoceros 5 (64-bit)\Plug-ins\ folder. Drag and drop the RHP file into Rhino and you should be ready to go. You can either type Icarus in the command line or open it via the panels. Here is a short video that shows how to run a sunlighhours analysis study in Rhino.
3 - BakeIt Input Now Supports a Pathway to PDF +Vector Programs
As promised in the previous release, the BakeIt_ option available on Ladybug’s visual components has been enhanced to provide a full pathway to vector-based programs (like Illustrator and Inkscape) and eases the export to vector formats like PDFs.
This means that the BakeIt_ operation now places all text in the Rhino scene as actual editable text (not meshes) and any colored meshes are output as groups of colored hatches (so that they appear as color-filled polygons in vector-based programs). There is still an option to bake the colored geometries as light meshes (which requires smaller amounts of memory and computation time) but the new hatched capability should make it easier to incorporate Ladybug graphics in architectural drawings and documents like this vector psychrometric chart.
4 - Physiological Equivalent Temperature (PET) Now Available
Thanks to the efforts of Djordje Spasic, it is now possible to compute the common outdoor comfort metric ‘Physiological Equivalent Temperature’ (PET) with Ladybug. The capability has been included with this release of “Thermal Comfort Indices” component and is supported by a “Body Characteristics” component in the Extra tab. PET is particularly helpful for evaluating outdoor comfort at a high spatial resolution and so the next Honeybee release will include an option for PET with the microclimate map workflow.
5 - Solar Hot Water Components Available in WIP
Chengchu Yan and Djordje Spasic have built a set of components that perform detailed estimates of solar hot water. The components are currently undergoing final stages of testing and are available in the WIP tab of this release. You can read the full release notes for the components here.
6 - New Ladybug Graphic Standards
With the parallel efforts or so many developers, we have made an effort in this release to standardize the means by which you interact with the components. This includes warnings for missing inputs and the ability to make either icons or text appear on the components as you wish (Hi Andres!). A full list of all graphic standards can be found here. If you have any thoughts or comments on the new standards, feel free to voice them here.
7 - Wet Bulb Temperature Now Available
Thanks to Antonello Di Nunzio - the newest member of the Ladybug development team, it is now possible to calculate wet bulb temperature with Ladybug. Antonello’s component can be found under the WIP tab and takes inputs of dry bulb temperature, relative humidity, and barometric pressure.
8 - New View Analysis Types
The view analysis component now allows for several different view studies in addition to the previous ‘view to test points.’ These include, skyview (which is helpful for studies of outdoor micro-climate), as well as spherical view and ‘cone of vision’ view, which are helpful for indoor studies evaluating the overall visual connection to the outdoors.
HONEYBEE
1 - Connection to THERM and LBNL Programs
With this release, many of you will notice that a new tab has been added to Honeybee. The tab “11 | THERM” includes 7 new components that enable you to export ready-to-simulate Lawrence Berkeley National Lab (LBNL) THERM files from Rhino/Grasshopper. THERM is a 2D finite element heat flow engine that is used to evaluate the performance of wall/window construction details by simulating thermal bridging behavior. The new Honeybee tab represents the first ever CAD plugin interface for THERM, which has been in demand since the first release of LBNL THERM several years ago. The export workflow involves the drawing of window/wall construction details in Rhino and the assigning of materials and boundary conditions in Grasshopper to produce ready-to-simulate THERM files that allow you to bypass the limited drawing interface of THERM completely. Additional components in the “11 | THERM” tab allow you to import the results of THERM simulations back into Grasshopper and assist with incorporating THERM results into Honeybee EnergyPlus simulations. Finally, two components assist with a connection to LBNL WINDOW for advanced modeling of Glazing constructions. Example files illustrating many of the capabilities of the new components can be found in there links.
THERM_Export_Workflow, THERM_Comparison_of_Stud_Wall_Constructions
Analyze_THERM_Results, Thermal_Bridging_with_THERM_and_EnergyPlus
Import_Glazing_System_from_LBNL_WINDOW, Import_LBNL_WINDOW_Glazing_Assembly_for_EnergyPlus
It is recommended that those who are using these THERM components for the first time begin by exploring this example file.
Tutorial videos on how to use the components will be posted soon. A great deal of thanks is due to the LBNL team that was responsive to questions at the start of the development and special thanks goes to Payette Architects, which allowed Chris Mackey (the author of the components) a significant amount of paid time to develop them.
2 - Electrical Lighting Components with Enhanced Capabilities for Importing and Manipulating IES Files
Thanks to the efforts of Sarith Subramaniam, it is now much easier and more flexible to include electric lighting in Honeybee Radiance simulations. A series of very exciting images and videos can be found in his release post.
You can find the components under WIP tab. Sarith is looking for feedback and wishes. Please give them a try and let him know your thoughts. Several example files showing how to use the components can be found here. 1, 2, 3.
3- Expanded Dynamic Shade Capabilities
After great demand, it is now possible to assign several different types of control strategies for interior blinds and shades for EnergyPlus simulations. Control thresholds range from zone temperature, to zone cooling load, to radiation on windows, to many combinations of these variables. The new component also features the ability to run EnergyPlus simulations with electrochromic glazing. An example file showing many of the new capabilities can be found here.
Dragonfly Beta
In order to link the capabilities of Ladybug + Honeybee to a wider range of climatic data sets and analytical tools, a new insect has been initiated under the name of Dragonfly. While the Dragonfly components are not included with the download of this release, the most recent version can be downloaded here. An example file showing how to use Dragonfly to warp EPW data to account for urban heat island effect can also be found here. By the next release, the capabilities of Dragonfly should be robust enough for it to fly on its own. Additional features that will be implemented in the next few months include importing thermal satellite image data to Rhino/GH as well as the ability to warp EPW files to account for climate change projections. Anyone interested in testing out the new insect should feel free to contact Chris Mackey.
And finally, it is with great pleasure that we welcome Sarith and Antonello to the team. As mentioned in the above release notes, Sarith has added a robust implementation for electric light modeling with Honeybee and Antonello has added a component to calculate wet bulb temperature while providing stellar support to a number of people here on the GH forum.
As always let us know your comments and suggestions.
Enjoy!
Ladybug+Honeybee development team
PS: Special thanks to Chris for writing most of the release notes!…
rtical Sky Component (VSC), and now Sky Exposure Factor (SEF). For everyone else following this post, this discussion has been ongoing in these other threads:
http://www.grasshopper3d.com/forum/topics/sky-view-factor-vs-vertical-sky-component?groupUrl=ladybug&xg_source=msg_com_gr_forum&groupId=2985220%3AGroup%3A658987&id=2985220%3ATopic%3A1377260&page=1#comments
https://github.com/mostaphaRoudsari/ladybug/issues/230
Grasshope, you have gone right to Oke, the grandfather of urban climatology, whose papers I have several times and yet I somehow I always missed the finer details of the sky view calculation. From his definition, I had always thought of Sky View Factor as a purely solid angle or "view factor" calculation in the sense of Mean Radiant Temperature. However, the numbers and formulas that you give here clearly show that Oke meant that this metric for quantifying and understanding urban heat island must refer back to the urban surfaces and their orientation in relation to the sky. It cannot simply be the view from points in space.
To clarify the distinction in simple geometric terms: The key difference is that Sky Exposure refers to the sky seen by a point in space while Sky View refers to that seen by a surface. Both of them involve the calculation of either projected rays or solid angle calculations to the sky (since they both are “view” calculations). However, while Sky Exposure treats each patch of the sky with relatively equal weight, Sky View weights these patches by their area after being projected into the plane of the surface being evaluated. In other words, the sky view calculation for a horizontal surface would give more importance to the sky patches that are directly overhead than those near the horizon because these overhead patch are “in front” of the surface (as opposed to on the side).
To express this difference in the trigonometric terms you cite here:
Wall View = 0.5(sin2 θ + cos θ – 1) / (cos θ)
Wall Exposure = θ/π
I both cases:
θ = tan-1(H / 0.5W) - ** This is the solid angle or ray-tracing calculation
SkyViewOrExposure = (1 - 2 (WallViewOrExposure))
To put this in more simpler terms for the View Analysis component, all that I actually have to do to convert sky exposure to sky view is multiply each of the traced view rays by 2cos(ϕ), where ϕ is the angle between the surface normal and the given view ray being traced.
I have done this by adding this line of code () and I have verified that I get the values from Oke’s paper that you cite above, Grasshope. Accordingly, the View Analysis component now has the option to compute either Sky Exposure or Sky View. You can see this happening in this new example file:
http://hydrashare.github.io/hydra/viewer?owner=chriswmackey&fork=hydra_2&id=Sky_Exposure,_Sky_View,_and_Sky_Component&slide=0&scale=1&offset=0,0
To (once and for all!) clearly define the difference between the three metrics at the top of my reply and to explain how to calculate each with Ladybug Honeybee:
Sky Exposure Factor - The percentage of the overlying hemispherical sky that is directly visible from a given POINT or set of POINTS. This is equivalent to a geometric solid angle calculation or ray-tracing calculation from points. It is useful for evaluating one's general visual connection to the sky at a given point and should be applied to cases where direct views to the sky are the parameter in question.
Sky exposure is calculated with the Ladybug_View Analysis component like so:
Sky View Factor – The percentage of the overlying hemispherical sky that is directly visible from a given SURFACE or set of SURFACES. While Sky Exposure treats each patch of the sky with relatively equal weight, Sky View weights these patches by their area projected into the plane of the surface being evaluated. In other words, Sky View for a horizontal surface would give more importance to the sky patches that are overhead and less to those near the horizon. Sky View is an important factor in for modelling urban heat island since the inability of warm urban surfaces to radiate heat to a cool night sky is one of the largest contributors of the heat island effect.
Sky View is calculates with either the Ladybug_View Analysis component like so:
Or with the Honeybee_Vertical Sky Component Recipe like so:
Sky Component - The portion of the daylight factor (at a surface indoors) contributed by luminance from the sky, excluding direct sunlight. This is essentially the same as Sky View Factor but it often incorporates a sky condition that is not uniform, such as a cloudy sky or sky that is more indicative of diffuse sky light. Another way of conceiving of this metric is a Daylight Factor calculation without any light bounces. It is useful for understanding the direct daylight contribution of diffuse skylight and, although many consider it an older (and perhaps outdated) daylight metric, it is still required by some codes and standards.
Sky Component can be calculated with the Honeybee_Vertical Sky Component Recipe like so:
In addition to the added capability in the view analysis component, I have revised the component description to include the definitions above. I have also corrected the Hydra example file in which I cite sky view as an urban heat island metric to use the new formula:
http://hydrashare.github.io/hydra/viewer?owner=chriswmackey&fork=hydra_2&id=Sky_View_in_an_Urban_Canyon&slide=1&scale=1&offset=0,0
Finally, all of this discussion has made me realize that the Vertical Sky Component recipe for Honeybee might not always be evaluating VERTICAL sky. The sky component might be vertical, horizontal, or in any direction that the input test surface is placed and pts vectors are oriented. Accordingly, Mostapha, I think that we should change the name of the component to simply be “Sky Component” instead of “Vertical Sky Component”. Please let me know if you agree.
Thanks again, Grasshope, for all of the great work! All of this never would have made sense without your research.
-Chris…
t defined from the discussion of radiation exchange between urban surfaces and the sky in urban heat island research (See Oke's literature list below). It will be affected by the proportion of sky visible from a given calculation point on a surface (vertical or horizontal) as a result of the obstruction of urban geometry, but it is not entirely associated with the solid angle subtended by the visible sky patch/patches.
So, I think using "geometry way" to approximate Sky View Factor is not correct. Sky View Factor calculation shall be based on the first principle defining the concept: radiation exchange between urban surface and sky hemisphere:
(image extracted from Johnson, G. T., & Watson, 1984)
Therefore, I always refer to the following "theoretical" Sky View Factors calculated at the centre of an infinitely long street canyon with different Height-to-width ratios in Oke's original paper (1981) as the ultimate benchmark to validate different methods to calculate SVF:
So, I agree with Compagnon (2004) on the method he used to calculate SVF: a simple radiation (or illuminance) simulation using a uniform sky.
The following images are the results of the workflow I built in the procedural modeling software Houdini (using its python library) according to this principle by calling Radiance to do the simulation and calculation, and the SVF values calculated for different canyon H/W ratios (shown at the bottom of each image) are very close to the values shown in Oke's paper.
H/W=0.25, SVF=0.895
H/W=1, SVF=0.447
H/W=2, SVF=0.246
It seems that the Sky View Factor calculated from the viewAnalysis component in Ladybug is not aligned with Oke's result for a given H/W ration: (GH file attached)
According to the definition shown in this component, I assume the value calculated is the percentage of visible sky which is a geometric calculation (shooting evenly distributed rays from sensor point to the sky and calculate the ratio of rays not blocked by urban geometry?), i.e solid angle subtended by visible sky patches, and it is not aligned with the original radiation exchange definition of Sky View Factor.
I'd suggest to call this geometrically calculated ratio of visible sky "Sky Exposure Factor" which is "true" to its definition and way of calculation (see the paper on Sky Exposure Factor below) so as to avoid confusion with "The Sky View Factor based on radiation exchange" as discussed in urban climate literature.
Appreciate your comments and advice!
References:
SVF: definition based on first principle
Oke, T. R. (1981). Canyon geometry and the nocturnal urban heat island: comparison of scale model and field observations. Journal of Climatology, 1(3), 237-254.
Oke, T. R. (1987). Boundary layer climates (2nd ed.). London ; New York: Methuen.
Johnson, G. T., & Watson, I. D. (1984). The Determination of View-Factors in Urban Canyons. Journal of American Meteorological Society, 23, 329-335.
Watson, I. D., & Johnson, G. T. (1987). Graphical estimation of sky view-factors in urban environments. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 7(2), 193-197. doi: 10.1002/joc.3370070210
Papers on SVF calculation:
Brown, M. J., Grimmond, S., & Ratti, C. (2001). Comparison of Methodologies for Computing Sky View Factor in Urban Environments. Los Alamos, New Mexico, USA: Los Alamos National Laboratory.
SVF calculation based on first principle:
Compagnon, R. (2004). Solar and daylight availability in the urban fabric. Energy and Buildings, 36(4), 321-328.
paper on Sky Exposure Factor:
Zhang, J., Heng, C. K., Malone-Lee, L. C., Hii, D. J. C., Janssen, P., Leung, K. S., & Tan, B. K. (2012). Evaluating environmental implications of density: A comparative case study on the relationship between density, urban block typology and sky exposure. Automation in Construction, 22, 90-101. doi: 10.1016/j.autcon.2011.06.011
…