lly it should not make much of a difference - random number generation is not affected, mutation also is not. crossover is a bit more tricky, I use Simulated Binary Crossover (SBX-20) which was introduced already in 1194:
Deb K., Agrawal R. B.: Simulated Binary Crossover for Continuous Search Space, inIITK/ME/SMD-94027, Convenor, Technical Reports, Indian Institue of Technology, Kanpur, India,November 1994
Abst ract. The success of binary-coded gene t ic algorithms (GA s) inproblems having discrete sear ch sp ace largely depends on the codingused to represent the prob lem variables and on the crossover ope ratorthat propagates buildin g blocks from pare nt strings to childrenst rings . In solving optimization problems having continuous searchspace, binary-co ded GAs discr et ize the search space by using a codingof the problem var iables in binary st rings. However , t he coding of realvaluedvari ables in finit e-length st rings causes a number of difficulties:inability to achieve arbit rary pr ecision in the obtained solution , fixedmapping of problem var iab les, inh eren t Hamming cliff problem associatedwit h binary coding, and processing of Holland 's schemata incont inuous search space. Although a number of real-coded GAs aredevelop ed to solve optimization problems having a cont inuous searchspace, the search powers of these crossover operators are not adequate .In t his paper , t he search power of a crossover operator is defined int erms of the probability of creating an arbitrary child solut ion froma given pair of parent solutions . Motivated by t he success of binarycodedGAs in discret e search space problems , we develop a real-codedcrossover (which we call the simulated binar y crossover , or SBX) operatorwhose search power is similar to that of the single-point crossoverused in binary-coded GAs . Simulation results on a number of realvaluedt est problems of varying difficulty and dimensionality suggestt hat the real-cod ed GAs with t he SBX operator ar e ab le to perform asgood or bet t er than binary-cod ed GAs wit h t he single-po int crossover.SBX is found to be particularly useful in problems having mult ip le optimalsolutions with a narrow global basin an d in prob lems where thelower and upper bo unds of the global optimum are not known a priori.Further , a simulation on a two-var iable blocked function showsthat the real-coded GA with SBX work s as suggested by Goldberg
and in most cases t he performance of real-coded GA with SBX is similarto that of binary GAs with a single-point crossover. Based onth ese encouraging results, this paper suggests a number of extensionsto the present study.
7. ConclusionsIn this paper, a real-coded crossover operator has been develop ed bas ed ont he search characte rist ics of a single-point crossover used in binary -codedGAs. In ord er to define the search power of a crossover operator, a spreadfactor has been introduced as the ratio of the absolute differences of thechildren points to that of the parent points. Thereaft er , the probabilityof creat ing a child point for two given parent points has been derived forthe single-point crossover. Motivat ed by the success of binary-coded GAsin problems wit h discrete sear ch space, a simul ated bin ary crossover (SBX)operator has been develop ed to solve problems having cont inuous searchspace. The SBX operator has search power similar to that of the single-po intcrossover.On a number of t est fun ctions, including De Jong's five te st fun ct ions, ithas been found that real-coded GAs with the SBX operator can overcome anumb er of difficult ies inherent with binary-coded GAs in solving cont inuoussearch space problems-Hamming cliff problem, arbitrary pr ecision problem,and fixed mapped coding problem. In the comparison of real-coded GAs wit ha SBX operator and binary-coded GAs with a single-point crossover ope rat or ,it has been observed that the performance of the former is better than thelatt er on continuous functions and the performance of the former is similarto the lat ter in solving discret e and difficult functions. In comparison withanother real-coded crossover operator (i.e. , BLX-0 .5) suggested elsewhere ,SBX performs better in difficult test functions. It has also been observedthat SBX is particularly useful in problems where the bounds of the optimum
point is not known a priori and wher e there are multi ple optima, of whichone is global.Real-coded GAs wit h t he SBX op erator have also been tried in solvinga two-variab le blocked function (the concept of blocked fun ctions was introducedin [10]). Blocked fun ct ions are difficult for real-coded GAs , becauselocal optimal points block t he progress of search to continue towards t heglobal optimal point . The simulat ion results on t he two-var iable blockedfunction have shown that in most occasions , the sea rch proceeds the way aspr edicted in [10]. Most importantly, it has been observed that the real-codedGAs wit h SBX work similar to that of t he binary-coded GAs wit h single-pointcrossover in overcoming t he barrier of the local peaks and converging to t heglobal bas in. However , it is premature to conclude whether real-coded GAswit h SBX op erator can overcome t he local barriers in higher-dimensionalblocked fun ct ions.These results are encour aging and suggest avenues for further research.Because the SBX ope rat or uses a probability distribut ion for choosing a childpo int , the real-coded GAs wit h SBX are one st ep ahead of the binary-codedGAs in te rms of ach ieving a convergence proof for GAs. With a direct probabilist ic relationship between children and parent points used in t his paper,cues from t he clas sical stochast ic optimization methods can be borrowed toachieve a convergence proof of GAs , or a much closer tie between the classicaloptimization methods and GAs is on t he horizon.
In short, according to the authors my SBX operator using real gene values is as good as older ones specially designed for discrete searches, and better in continuous searches. SBX as far as i know meanwhile is a standard general crossover operator.
But:
- there might be better ones out there i just havent seen yet. please tell me.
- besides tournament selection and mutation, crossover is just one part of the breeding pipeline. also there is the elite management for MOEA which is AT LEAST as important as the breeding itself.
- depending on the problem, there are almost always better specific ways of how to code the mutation and the crossover operators. but octopus is meant to keep it general for the moment - maybe there's a way for an interface to code those things yourself..!?
2) elite size = SPEA-2 archive size, yes. the rate depends on your convergence behaviour i would say. i usually start off with at least half the size of the population, but mostly the same size (as it is hard-coded in the new version, i just realize) is big enough.
4) the non-dominated front is always put into the archive first. if the archive size is exceeded, the least important individual (the significant strategy in SPEA-2) are truncated one by one until the size is reached. if it is smaller, the fittest dominated individuals are put into the elite. the latter happens in the beginning of the run, when the front wasn't discovered well yet.
3) yes it is. this is a custom implementation i figured out myself. however i'm close to have the HypE algorithm working in the new version, which natively has got the possibility to articulate perference relations on sets of solutions.
…
re are major changes and enhancements.
HONEYBEE
More Flexible Workflow - Many small modifications were made to support a more flexible workflow, such as the ability to separate a zone created with masses2Zones into editable HBSrfs that can be recombined. For the energy components, it is now possible to plug custom constructions directly into the components that set the zone constructions without writing them first into the library. For the daylighting components it is now possible to change all of the materials of specific surface types at once.
Support for Complex Geometry - Many small bugs for complex geometry have been fixed including the ability to import energy results correctly for curved NURBS surfaces as well as unconventional window configurations. Also, the intersectMasses component now almost always succeeds in splitting all of the surfaces of adjacent zones, no matter how complex the intersection is.
Automatic Download Issues Fixed - Many users who faced issues with not having “gendaymtx.exe” or who had trouble syncing with our github know that we faced an issue with automatic background downloads.
Air Walls - Honeybee EnergyPlus models now officially support air walls (or virtual partitions) in a basic implementation. Now, any time that you use the air wall construction or set a surface type to “air wall,” the air between adjacent zones will be automatically mixed. At present, this mixing is just a constant flow based on the surface area between zones connected by air walls multiplied by an adjustable “flow factor.” It is important to stress that this basic air mixing is not with the EnergyPlus Airflow Network, although the groundwork laid in this release will eventually allow for the implementation of the Airflow Network in future releases. As such, this present air mixing is only suitable for multi-zone conditions where there is not significant buoyancy-driven flow between zones.
Natural Ventilation - To go along with the new potential introduced by air walls, there has been a basic implementation of EnergyPlus’s natural ventilation objects in a new component called “Set EP Airflow”. The current setup allows for three possible types of natural ventilation: 1) natural ventilation through windows (with auto-calculated flow based on window area, outdoor wind speed/direction, and stack effects), 2) custom wind and stack objects that can be used to model things such as chimneys off of single zones, and 3) constant, fan-driven natural ventilation.
Additional Thermal Mass - The capability to add additional thermal mass to zones has been added. This is useful for factoring in the mass of indoor furniture or heavy interior objects such as chimneys.
New Utility Components - Abraham has added a couple of useful components to help calculate lighting loads based on bulb types and target lighting levels as well as a converter from ACH to the m3/s-m2 that the other HB components accept. Along this vein, there is also a component for adding in the resistance of Air Films to HB constructions.
Improved and Editable Ideal Air Loads System - The EnergyPlus Ideal Air System now goes through an automatic sizing period at the start of the simulation based on the extreme weeks of the weather file. Furthermore, the ability to adjust many of the parameters of the ideal air loads system have been added with a new “Set Ideal Air Loads Parameters” component. The component allows you to add in heat recovery, air side economizers and demand-controlled ventilation.
OpenStudio Export Update - The OpenStudio workflow is still largely under development but this release includes a version with a working VAV and PTHP system template for those curious with experimenting. Note that not all of the new features available for the basic “Run Energy Simulation” component are available for the OpenStudio component (such as air walls, natural ventilation, or additional thermal mass).
Microclimate/Indoor Comfort Maps - Blossoming from initial experiments with the radiant temperature map, a workflow for looking into sub-zone microclimate and indoor comfort has been initiated. All components for this are presently under the Honeybee WIP tab but, over the next month, they will be completing their development phase and moving into the rest of the tabs. If you are interested in testing when they are ready, please let Chris know. For a teaser video of the intended capabilities, see this video: (https://www.youtube.com/watch?v=fNylb42FPIc&list=UUc6HWbF4UtdKdjbZ2tvwiCQ)
LADYBUG
Monthly Bar Chart - After much demand from multiple parties, a new component to create monthly bar and line charts has been added. The component is particularly useful for plotting the outputs of the “Average Data” component like monthly EPW data or averaged monthly-per hour data. It also supports daily data and any type of Energy simulation results.
Wind Profile - To go along with the new capabilities of natural ventilation in Honeybee, Ladybug now has a fully fleshed-out Wind Profile component that allows you to visualize how wind speed changes with height in relation to your building geometry. The component is geared to understanding the conditions of prevailing wind and will be useful in the future for setting up CFD models. Credit goes to Djordje Spasic for adding in all of the new capabilities. In a similar vein, the appearance of the wind rose has also been improved thanks to suggestions from Alejandra Menchaca.
Faster Solar Adjusted Temperature - Thanks to the SolarCal method from the Center for the Built Environment at UC Berkeley (http://escholarship.org/uc/item/89m1h2dg), the solar adjusted temperature component now includes an option for a much faster calculation that produces results that are very close to those originally obtained with the genCumSky component. Instead of using the cumulative sky, the component can now accept the direct and diffuse radiation from the ImportEPW component. Over a whole year, this essentially takes a calculation that used to be a half-hour and shrinks it down to 10 seconds. Thanks again to those at UC Berkeley for keeping their work open source!
Instructions - Last but not the least, [It took me almost two years to understand this but finally] we have a text file that describes the installation step by step and is way easier to modify than a video. You can find it in the zip file. Credit goes to Chris!
We also want to welcome Anton, Patrick and Sandeep to the team. Anton has kicked off his development by working on a component to import and visualize epw ground temperature data and he will be continuing to develop components to bring in reliable precipitation data to Ladybug. With this basis, he will continue to implement Honeybee components for ground heat storage, earth tubes, rain collection and hot water systems. Patrick and Sandeep are working on integration of Honeybee to Energy Performance Calculator.
As always let us know your comments and suggestions.
Enjoy!…
the data structure of the input.
I'll create a component that aims to write all the GH_Paths inside the input data structure into separate output parameters. I'll add a menu item to the component that allows users to synch the number of outputs with the current data.
Note that there are some bugs I found related to Undo here, but I'll attempt to fix those asap. The mechanisms employed in this example are correct.
Let's start with the Component class definition and the constructor:
Public Class GH_ExampleComponent_VarOutput
Inherits GH_Component
Public Sub New()
MyBase.New("Extract Paths", "ExPath", "Extract all the paths from a tree", "Sets", "Tree")
End Sub
End Class
Now, the RegisterXXXXParams methods:
Protected Overrides Sub RegisterInputParams(ByVal pManager As GH_Component.GH_InputParamManager)
pManager.Register_GenericParam("Tree", "T", "Data tree to examine", GH_ParamAccess.tree)
End Sub
Protected Overrides Sub RegisterOutputParams(ByVal pManager As GH_Component.GH_OutputParamManager)
'We'll add one output parameter, just to not have a jagged output.
pManager.Register_PathParam("Path 1", "1", "1st path in tree")
End Sub
SolveInstance() is somewhat special, but not very complicated:
Protected Overrides Sub SolveInstance(ByVal DA As IGH_DataAccess)
'We have only one input parameter and it is set to Tree,
'so SolveInstance will only be called once for every solution.
'We don't actually need the data inside the input, we're only interested in the paths.
'So we don't actually need to call DA.GetDataTree, we can just go in and extract the
'paths directly:
Dim paths As IList(Of GH_Path) = Params.Input(0).VolatileData.Paths
'Abort if there is no tree.
If (paths.Count = 0) Then Return
'Post a warning if the number of output parameters does not
'equal the number of paths in the tree.
If (paths.Count < Params.Output.Count) Then
AddRuntimeMessage(GH_RuntimeMessageLevel.Warning, "There are more outputs than paths in the tree.")
ElseIf (paths.Count > Params.Output.Count) Then
AddRuntimeMessage(GH_RuntimeMessageLevel.Warning, "There are fewer outputs than paths in the tree.")
End If
'Iterate over all paths and assign to output parameters.
For i As Int32 = 0 To Math.Min(Params.Output.Count, paths.Count) - 1
DA.SetData(i, paths(i))
Next
End Sub
Adding a menu item to the component menu is relatively straightforward, however handling the menu command requires a fair bit of logic:
Protected Overrides Sub Menu_AppendCustomComponentItems(ByVal iMenu As System.Windows.Forms.ToolStripDropDown)
'Add a single item to the component menu.
Menu_AppendGenericMenuItem(iMenu, "Synch outputs", AddressOf Menu_SynchOutputClicked)
End Sub
Private Sub Menu_SynchOutputClicked(ByVal sender As Object, ByVal e As EventArgs)
'Here we have to synch the number of output parameters with the number
'of paths in the volatile data tree in the input parameter.
'This requires a few steps:
'1. Determine whether something needs to happen at all.
'2. Record an undo event.
'3. Remove excess outputs or add missing outputs.
Dim paths As IList(Of GH_Path) = Params.Input(0).VolatileData.Paths
If (paths.Count = Params.Output.Count) Then Return 'yay, nothing needs to be done.
'Something needs to be done, record an undo state.
RecordUndoEvent("Synch output")
'We either have too few or too many outputs, determine which is the case.
If (paths.Count > Params.Output.Count) Then
'Add the missing outputs
For i As Int32 = Params.Output.Count + 1 To paths.Count
Dim param As New Grasshopper.Kernel.Parameters.Param_GenericObject()
param.Name = "Path " & i.ToString()
param.NickName = i.ToString()
If (i.ToString.EndsWith("1")) Then
param.Description = i.ToString() & "st path in tree"
ElseIf (i.ToString.EndsWith("2")) Then
param.Description = i.ToString() & "nd path in tree"
ElseIf (i.ToString.EndsWith("3")) Then
param.Description = i.ToString() & "rd path in tree"
Else
param.Description = i.ToString() & "th path in tree"
End If
Params.RegisterOutputParam(param)
Next
Else
'Remove excessive outputs
Do
If (Params.Output.Count <= paths.Count) Then Exit Do
Dim param As IGH_Param = Params.Output(Params.Output.Count - 1)
Params.UnregisterOutputParameter(param)
Loop
End If
Params.OnParametersChanged()
ExpireSolution(True)
End Sub
Finally, we must make sure that the component properly (de)serializes. This means we have to override the Write and Read methods and add additional information to the GHX archive:
Public Overrides Function Write(ByVal writer As GH_IO.Serialization.GH_IWriter) As Boolean
'We must make sure that the number of output parameters is correctly stored.
'We'll use a special function on the GH_ComponentParamServer to accompish this
'without too much sweat.
Params.WriteParameterTypeData(writer)
Return MyBase.Write(writer)
End Function
Public Overrides Function Read(ByVal reader As GH_IO.Serialization.GH_IReader) As Boolean
'Very important, we must make sure all parameters exist before we
'start with the main deserialization.
Params.Clear()
Params.ReadParameterTypeData(reader)
Return MyBase.Read(reader)
End Function
I attached a VB file that contains the code outlined above.
--
David Rutten
david@mcneel.com
Seattle, WA…
Added by David Rutten at 11:43pm on October 27, 2010
me of course!So I'll try to be as clear as possible.I have two problems.The form we have is a shade. I would like to close the shape of the top so she cancling to a bulb socket. For this, I want to keep a planar surface (the same surface asthe top of the basic shape without distortion but reduced (scale)), then connect themodified form (with the attractors points) to this surface. However, it must be dividethis surface on triangle to succeed have flat surface (because the shade is made of paper and then cut out of planar sheets).I managed to do it but very complicated and non-automatic by taking each point oneby one through lists items.Do you know a way to do it automatically and it still works even if we increase the number of facets of the form?I also have a problem with attractors points to 2 different places, to distort the basic shape and create the holes.
I could wish to create as many attractors points what I want in my program but it is limited.Do you think it is possible to group all attractors points in only component (point) to make this automatic?In my program, I have managed to use several (3) points attractors to distort the basic shape using dispatch order if I want attractors for example 24 points, I wouldcreate 24 pieces of program which is quite disturb!For holes, the problem IS exactly the same.Do you have any ideas? (If you have time).
Thanks a lot.Ines
…
is the name of an existing layer and if so figures out the suffix 3
and creates a new layer Green4.
In order to do this I have been reading up on the sample pages and the Rhinocommon
SDK but I seem to be not grasping how to access certain members. I have written
below how I think I would access the members. Can someone please explain why my
logic is incorrect. I have a feeling I am not grasping the Structure of the classes.
This is the sample code from the LayerTables find method page in the RhinocommonSDK
Public Shared Function AddLayer(ByVal doc As Rhino.RhinoDoc) As Rhino.Commands.Result
'Does a layer with the same name already exist?
Dim layer_index As Integer = doc.Layers.Find(layer_name, True)
Since the find method is part of the LayerTables class which is part of the
Rhino.DocObjects.Tables namespace I would have thought the above would have been
Rhino.DocObjects.Tables.LayerTables.Find(layer_name,True)
thanks.…
Added by jon kontuly at 2:32pm on February 27, 2012
ager As Grasshopper.Kernel.GH_Component.GH_InputParamManager)
pManager.AddTextParameter(
"Name", "N", "String", GH_ParamAccess.item)
pManager.AddPointParameter(
"Point", "P", "Point3d", GH_ParamAccess.item)
pManager.AddGenericParameter(
"Local Axis", "LA", "Null/Surface/Plane", GH_ParamAccess.item)
pManager.AddGenericParameter(
"Support", "S", "I_Model_Support", GH_ParamAccess.item)
pManager.AddGenericParameter(
"PointLoad", "PL", "List (of I_Model_PointLoad)", GH_ParamAccess.list)
pManager.AddGenericParameter(
"Group", "G", "List (of (I_Model_Group)", GH_ParamAccess.list)
End Sub
Protected Overrides Sub RegisterOutputParams(ByVal pManager As Grasshopper.Kernel.GH_Component.GH_OutputParamManager)
pManager.AddGenericParameter(
"Node", "N", "I_Model_Node",GH_ParamAccess.item)
End Sub
Protected Overrides Sub SolveInstance(ByVal DA As Grasshopper.Kernel.IGH_DataAccess)
Dim inName As String = Nothing
Dim inP As Point3d = Nothing
Dim inLA As Plane = Nothing
Dim inS As I_Model.I_Model_NodeSupport = Nothing
Dim inPL As New List(Of I_Model.I_Model_PointLoad)
Dim inG As New List(Of I_Model.I_Model_Group)
Dim outNode As I_Model.I_Model_Node
If Not DA.GetData(0, inName) Then Return
If Not DA.GetData(1, inP) Then Return
If Not DA.GetData(2, inLA) Then Return
If Not DA.GetData(3, inS) Then Return
If Not DA.GetData(4, inPL) Then Return
If Not DA.GetData(5, inG) Then Return
Dim IM_P As I_Model_Node
IM_P =
New I_Model_Node(inP, Nothing, inName)
If Not DA.GetData(2, inLA) Then IM_P.SetLocalAxis(inLA)
If Not DA.GetData(3, inS) Then IM_P.SetSupport(inS)
If Not DA.GetData(4, inPL) Then
Dim PL As I_Model_PointLoad
For Each PL In inPL
IM_P.AddPointLoad(PL)
Next
End If
If Not DA.GetData(5, inG) Then
Dim G As I_Model_Group
For Each G In inG
IM_P.AddToGroup(G)
Next
End If
outNode = IM_P
DA.SetData(0, outNode)
End Sub
…
Added by Daniel Bosia at 9:22am on January 11, 2013
n common tasks like updating GH definitions, viewing images on the GH canvass, and augmenting existing study-types. Most of the improvements to Honeybee have been in the making for a while and are just getting into the spotlight with this release. Notably, a number of improvements have been made to support large-scale full building energy models, including fixes to memory issues with large models, better components for splitting building masses into zones, and the ability to store HBZones in external files. Additionally, the THERM workflows have gotten a boost and these simulations can now be run directly from the Grasshopper canvass.
As always you can download the new release from Food4Rhino. Make sure to remove the older version of Ladybug and Honeybee before you do so and update your scripts. So, without further adieu, here is the list of the new capabilities added with this release:
LADYBUG
Better Method for Updating Old Grasshopper Files - As many of you have come to realize, Ladybug + Honeybee is updated on a fairly regular basis, with a stable release roughly every 6 months and a github version that never ceases to improve itself on a weekly basis. For this reason, we realize that updating old Grasshopper definitions to use recent components is a challenge for many of us. While we’ve had some methods for this in the past, there were always hiccups, particularly when it came to components that had new inputs/outputs since the previous version. Accordingly, Mostapha has added a new “Ladybug_Update File” component that will automatically update any Grasshopper Definition to be synchronized with the version of Ladybug+Honeybee that is currently in your toolbar (aka. the components in your userobjects folder). If there is a component that has new inputs/outputs since the time you built the definition, it will be automatically circled in red in your GH definition and a newer version of the component will be automatically added right next to this component:
While you still have to do some manual connecting of inputs to the newer component in this case, it should be much faster than our older methods and will hopefully help your old definitions survive long into the future!
EPWmap Now includes OneBuilding Files - Mostapha has added a number of new features to the EPWmap web interface that the “Download Ladybug” component connects to. Among the improvements are a color wheel that quickly shows you how hot, cold, and comfortable a given climate is and, perhaps more importantly, there is now support for EPW files sourced from OneBuilding. With the addition of many more weather files, you should now be able to use Ladybug with ease for more locations across the planet. We should also note that the “Open EPW and STAT” component that downloads/unzips files from a URL now supports OneBuilding URLs.
New Image Viewer Component - Mingbo Peng has graced Ladybug with a fantastic new “Image Viewer” component that takes a given image file on one’s machine and displays it on the Grasshopper canvas. It also enables one to pull color data off of the image with ease by simply clicking on the pixel of the image one is interested in. This new component is useful for a wide variety of cases, including the viewing of screenshots after they have been taken with the “Ladybug_Capture View” or “Ladybug_Render View” components. However, many of you will likely recognize it as most immediately useful in workflows involving image-based Honeybee Daylight (Radiance) simulations. This is particularly true as Migbo has built-in the capability to read many image file types, including PNG, JPEG, GIF, TIFF and the High Dynamic Range (.HDR) image files that Radiance Outputs:
The following video gives a quick overview of the Image Viewer’s capabilities:
The new component can be found under the Ladybug_Extra tab and I think I speak for us all in saying thank you Mingbo for this great component!
New Sun Shades Calculator Released Under WIP - After over a year of software development and nearly a career's worth of geometric math development, a joint effort between Abraham Yezioro and Antonello Di Nunzio has produced a new sun shade design component that can be described as nothing short of “magical.” Based on a similar principle to the current “Ladybug_Shading Designer,” the new component takes an input of sun vectors and produces shade geometries that can block the vectors. However, in comparison to the shading designer, the range of shade options that are available in this new component is truly staggering, ranging from classic overhangs, louvers and fins to pergolas and custom shade surfaces. Perhaps more importantly, the calculation methods used by this new component are faster and more reliable. It can currently can be found under the WIP section of Ladybug and it will continue to evolve in new versions of Ladybug.
Renewable Component Now Support Sandia and CEC Photovoltaics Modules - Polishing off his many contributions to the “Renewables” section of Ladybug, Djordje Spasic has added support for a couple more ways of defining Photovoltaic modules for renewables estimation. Specifically, the Ladybug WIP section now includes components to import modules defined with the California Energy Commission (CEC) and Sandia Labs.
HONEYBEE
Support for OpenStudio 2.x - A few months ago, the National Renewable Energy Lab (NREL) released a stable version of OpenStudio version 2, which included a number of improvements in stability and available features. This stable release of Honeybee is built to work with the new version of OpenStudio and, in the coming months, Honeybee will be adding a few more capabilities to its OpenStudio workflows to support v2.x’s new capabilities. Most notable among these will be support for OpenStudio measures. Measures are short scripts written in Ruby using OpenStudio’s SDK to quickly edit and change OpenStudio models. They are fundamental to visions of OpenStudio as a flexible energy modeling interface and to Honeybee’s goals of being a collaborative interface between the architectural and engineering industries. Stay tuned for the next release for many of these new capabilities!
Critical Memory Issue Fixed for Large Energy Models - A number of you wonderful members of our community have been aware of computer memory issues with large Honeybee models for some time (examples: 1, 2, 3, 4). Namely, a model that is larger than 50 zones could quickly eat up 16 GBs of memory and change Honeybee from a fast-flying insect to something more reminiscent of a snail. We are happy to say that, after a much longer time than it should have taken us, we finally identified and fixed the issue. In this version of Honeybee, such large models can now be created using less than 2% of the memory and time previously. Thanks to all of you who made us aware of this and hopefully you will now reap the rewards of your struggle.
Split Building Mass Component Getting a Makeover - Many of you veteran Ladybug users will recognize Saeran Vasathakumar as one of the original contributors of Ladybug who added components for solar fans and envelopes years ago. Now he’s back with new components to split a building mass into zones that are truly revolutionary in their speed and methodology. Saeran has divided the new capabilities into two components (one for floor-by-floor subdivision and another for core-perimeter subdivision) and they both can be found under the WIP section of this release. In this WIP version, core-perimeter thermal zones can only be generated for all convex and very simple concave geometries. Most concave geometries and geometries with holes (or courtyards) in them will fail. However it can handle even very complex convex geometries with speed and ease. You can expect the component to start accommodating concave/courtyard geometries very soon.
Load / Dump HB Objects to File - Keeping in line with the support of large, full building energy models, this release includes full support for two components that can dump and load any HBObjects to a standalone file. All information about HBzones can go into this file including custom constructions, schedules, loads, natural ventilation, shading devices, etc. You can then send the resulting .HB file to someone else and they can load up the same exact zones in another definition. This also makes it possible to have one Grasshopper file for generating the zones and running the simulation and another GH definition to import results and color zones/surfaces with those results, make energy balance graphics, etc.
Write ViewFactorInfo to File - After many of you asked for it, the _viewFactorInfo that is output from the “Honeybee_View Factor” component can now be written out to an external file using the same Load / Dump HB Objects components cited above. For those of you who have worked with the comfort map workflows, you probably already know that calculating these view factors is one of the most time consuming portions of building a microclimate map. Having to re-run this calculation each time you want to open up the Grasshopper script is a nuisance and, thanks to this new capability, you should only have to run it once and then store your results in an external .HB file.
Transform Honeybee Components Modified for Large Model Creation - Many large buildings today are made up of copies of the same rooms repeated over and over again across multiple floors, or along a street, etc. Accordingly, one can imagine that the fastest way to create a full building energy model of such buildings is to simply move and copy the same zones several times. This is what a new set of edits to the Honeybee Transform components is aimed at supporting by allowing one to build a custom set of zones, translate them several times with a Honeybee_Transform component, then solve adjacencies on all zones to make a complete energy model.
Central Plants Available on HVAC Systems - While Honeybee has historically supported the assigning of separate HVAC systems to different groups of zones, each HVAC was always an entirely new system from the ground up. So a building with separate VAV systems for each floor would be modeled with a different chiller and boiler for each floor. While this can be the case sometimes, it is more common to have only one chiller and boiler per building but separate air systems for each floor. The new ‘centralPlant_’ options on the Honeybee coolingDetails and heatingDetails enable you to create this HVAC structure by making a single boiler and chiller for any HVAC systems that have this option toggled on. Furthermore, in the case of VRF systems, you can also centralize the ventilation system, using the grouping of zones around a given HVAC to assign which zone terminals are connected to a given heat pump.
More HVAC Templates Added - As the profession continues to push the industry standard towards lower-energy HVAC systems, Honeybee intends to keep up. In this release, we have included a few more templates for modeling advanced HVAC systems including Radiant Ceilings, Radiant Heated Floors + VAV Cooling, and Two Ground Source Heat Pump (GSHP) systems. Variable Refrigerant Flow (VRF) systems have also gotten a large boost as it is now possible to model these systems with more efficient water-source loops. The next release will include the ability to model central ground source systems that use hydronics for heating cooling delivery.
Run THERM Simulations Directly from Grasshopper - Anyone who has used the THERM workflow in the past likely realized that, while Honeybee can write the THERM file, you would still have to open model in THERM yourself and hit “simulate” to get results. Now that LBNL has started a transition to becoming more open, they have graciously allowed free access for everyone to run THERM from a command line. What this means for Honeybee is that you no longer need to open THERM at all in order to get results and you can now work entirely in Rhino/Grasshopper. This also opens up the possibility of long parametric runs with THERM models since you can now automatically run simulations and collect results as you animate sliders, use galapagos, etc. A special thanks is due to the LBNL team for exposing this feature, including Setphen Selkowitz, Christian Kohler, Charlie Curcija, Eleanor Lee, and Robin Mitchell.
All Options Exposed for THERM Boundary Conditions - To finish off the full implementation of THERM in Honeybee, a final component has been added called “Honeybee_Custom Radiant Environment.” This component completes the access to all boundary condition options that THERM offers, including separate radiant and air temperatures, different view factor models, and the specification of additional heat flux (which is typically used to account for solar radiation).
Improvements to Schedule-Generating Components - Many of you who have watched the Honeybee energy modeling video tutorials have likely gotten in the habit of using CSV schedules for everything. While this is definitely one valid way to work, it is not always the most efficient since simple schedules can be specified much more cleanly to EnergyPlus/OpenStudio and the use of CSVs can also make it difficult to share your energy models (since you have to send CSV files along with the schedules themselves). This release adds two new schedule components that should take care of a lot of cases where CSV schedules were unnecessary. The new “Constant Schedule” component allow you to quickly make a schedule that is set at a single value or a set of constantly repeating 24-hour values. The second component allows you to create “Seasonal Schedules” by connecting “week schedules” from the other schedule components along with analysis periods in which these seek schedules operate. Together, these will hopefully make our schedule-generating habit a bit better as a community.
Lastly, many of you may know Mingbo Peng as the current maintainer of the Design Explorer web interface and the Colibri components under TTToolbox. Both of these tools have been revolutionary in enabling “brute force” studies of design spaces (aka. Grasshopper scripts where one runs all combinations of a set of sliders). Now, Mingbo has graced Ladybug with the aforementioned image viewer component and it is with pride that we welcome Mingbo Peng to the development team!
As always let us know your comments and suggestions.Cheers!
The Ladybug Tools Development Team
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