connected hyperspace where architecture can be fluid, flexible and vivid, yet the aspect of materiality requires more attention.
Action-designed structures begin to move beyond the utopian proposals of the 20th century’s manifestos and hold a place in the world of realized designs. The AA Athens Visiting School aims to bring users closer to the built environment while revisiting habits of designing, building and experiencing space through materiality. Understanding materiality and form as a ‘unified whole’, the programme integrates manufacturing techniques through the experimentation fabrication of prototypes at a 1:1 scale.
Prominent Features of the workshop/ skills developed
Participants become part of an active learning environment where the large tutor to student ratio allows for personalized tutorials and debates.
The toolset of the Athens VS includes but is not limited to Processing and Grasshopper for Rhinoceros, as well as design analysis software.
Participants gain hands-on experience on digital fabrication.
Design seminars and a series of lectures support the key objectives of the programme, disseminating fundamental computational techniques, relevant critical thinking, theoretical understanding and professional awareness.
Applications
1) You can make an application by completing the online application found under ‘Links and Downloads’ on the AA Visiting School page. If you are not able to make an online application, email visitingschool@aaschool.ac.uk for instructions to pay by bank transfer. 2) Once you complete the online application and make a full payment, you are registered to the programme. A CV or a portfolio is NOT required.
The deadline for applications is 28 June.
Location AKTO College – Athens Campus 11Α Evelpidon Street (Pedion Areos) Athens, 113 62, Greece
Fees
The AA Visiting School requires a fee of £695 per participant, which includes a £60 Visiting membership fee. Fees do not include flights or accommodation, but accommodation options can be advised.
Eligibility The workshop is open to current Undergrad and Graduate architecture and design students, PhD candidates and young professionals. Software Requirements: Adobe Creative Suite, Rhino 5.
For more information, please visit:
http://www.aaschool.ac.uk/STUDY/VISITING/athens
http://ai.aaschool.ac.uk/athens/
For inquiries, please contact:
alexandros.kallegias@aaschool.ac.uk…
deform into rhombic dedocahedrons when they reach equilibrium.
http://mathworld.wolfram.com/CubicClosePacking.html
I was trying to model sphere lattice constrained within a boundary box. When inflated, they would not intersect with each other; they would stay in place; and would be malleable just enough to expand and fill in the gaps in between the spheres.
I started off with the help of this thread here(Thanks for those contributed!). As I understood, there was a bug in Kangaroo2. Solver can't handle more than one item plugged in. So I tried to understand David's Stasiuk's Script and adopted it with a few variations, please see gh file attached.
In the first 5 - I've used David Stasiuk's C# component-variable pressure (posted on June 9, 2015 at 12:25am): 'No. 4.5' being the most successful simulation so far(inflation value is kept very low so that they would not intersect);
although I realised I made some math mistake in setting the close packing grid.(could be checked by plugging voronoi3D to see if the area of the rhombic faces are regular)
No. 6-7 I tried with Kangaroo2 components.
After consulting my tutor(Andrei Jipa)'s help, I realised the following changes could be made:
- The definition posted by David on June 8, 2015 at 4:47pm with constant pressure would've worked better.
- Icosahedrons with WbCatmull(Quad divisions) would result in more even load distribution. With wbloop, vertices more concentrated at poles.
- Load in dir Z could be omitted. Andrei has suggested to use lengths(line) in Kangaroo 2 as 'pressure' instead. And I am trying to improve the grid; and maybe try with David's constant pressure definition. I will keep you guys posted of the progress!
I am new to the parametric world, comments/advice very much appreciated! :) Zhini
…
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…
ssibili e facili da usare. Il corso parte dalle basi della programmazione di arduino fino ad arrivare all’interazione tra un oggetto fisico ed un imput informativo. tutor: Gianpiero Picerno Ceraso
Programma: I giorno Introduzione al Phisical Computing, input digitali e analogici, le basi del linguaggio di programmazione, esempi applicativi; led, pulsanti, fotorestistenze, servo motore, sensore di temperatura, di flessione, sensori di movimento, potenziometri.
II giorno Arduino ethernet, uso di un relè per carichi elevati, accelerometro, introduzione a Processing, interazione di Arduino e Processing, Introduzione a Grassoppher e Firefly e interazione con Arduino.
orario corso: 10:00 – 13:00 e 14:00 – 17:00 (pausa pranzo 13:00 – 14:00) costo: 150€ + IVA deadline: 13 marzo numero minimo di partecipanti: 3
Per iscrizioni scrivi a info@medaarch.com specificando nome, cognome, mail, recapito telefonico e il nome del corso al quali sei interessato. In seguito all’invio del modulo di pre-iscrizione, i partecipanti riceveranno una mail contenente tutte le specifiche di pagamento.
Per seguire il cluster su Arduino è necessario installare il software Arduino 1.0.5 al seguente linkhttp://arduino.cc/en/Main/Software#.Ux3hQj95MYE facendo attenzione a scaricare quello relativo al proprio sistema operativo, Windows 32 o 64 e Mac OS.
Software necessari solo per una parte del corso: Processing 2.1.1 https://processing.org/download/?processing
Rhino 5 http://www.rhino3d.com/it/download Grasshopper for Rhino5http://www.grasshopper3d.com/page/download-1Firefly http://fireflyexperiments.com/
Il cluster rientra in un fitto calendario di attività formative organizzate dalla Medaarch per lanno 2013-2014.…
occur more than once in the same list, and different elements with identical values can occur more than once. Also, a list may contain lack of elements, referred to as "nulls".
Sets. Strictly speaking a Set is a mathematical construct which adheres to a strict collection of rules and limitations. Basically, a Set is the same as a List, with the exception that it cannot contain the same element more than once, or indeed two or more different elements with the same values. You see, in mathematics there is no difference between a value and an instance of that value, they are the same thing. In programming however it is possible to store the number 7 in more than one spot in the RAM. Grasshopper does not enforce this rule very strongly though, you can use a lot of Set components on lists that have multiple occurrences of the same value. The big difference between Lists and Sets in Grasshopper is that Sets are only defined for simple data types that have trivial equality comparisons. Basically: booleans, integers, numbers, complex numbers, strings, points, vectors, colours and intervals. Lists can contain all kinds of data.
Strings. Strings are text. There's nothing more to it. I don't know why early programmers chose to call them strings, but I suppose it's a better description of the memory representation of them. Strings are essentially sequences of individual characters.
Trees. Trees are the way all data is stored in Grasshopper. Even when you only have a single item, it will still be stored in a tree. A tree is a sorted collection of lists, where each list is identified by a path. A specific path can only occur once in a tree, when you merge two trees together, lists with identical paths are appended to each other. Trees are an attempt to losslessly represent not just the data itself, but also the history of that data. Imagine you have 4 curves {A,B,C,D} and you divide each into 3 points {X,Y,Z}. Then, for each of those points you create a new line segment {X',Y',Z'} and then divide each of those line segments again into 5 points each {K,L,M,N,O}. The way data is stored in trees, it should be possible to figure out whether a point M belongs to X' or to Z', and whether that X' or Z' came from A, B, C or D. This is why paths are often quite long after a while, because they encode a lot of history.
Paths. A Path is nothing more than a list of integers. It's denoted using curly brackets and semi-colons: {A;B;...;Z}. A Path should never be empty {} or have negative integers {0;-1}, but it is certainly possible to create a path like this and it probably won't even crash Grasshopper. Paths are 'grown' by components that (potentially) create more than one output value for a single input value. For example Divide Curve. It creates N points for every single input curve. In cases like this a new integer is appended to the end of the path.
In the next release the Path logic in Grasshopper is somewhat different. I fixed a number of obscure bugs (hopefully without introducing new fresh bugs) and special cased certain operations to somewhat reduce the speed at which paths grow. This may well break files that rely on a specific tree layout, but I hope the temporary sacrifice will be worth the long-term benefits.
--
David Rutten
david@mcneel.com
Poprad, Slovakia…
n complex architectural design and fabrication processes, relying heavily on materiality and performance. The programme brings together a range of experts – tutors and lecturers – from internationally acclaimed academic institutions and practices, Architectural Association, Zaha Hadid Architects, among others.
Taking place at the unique atmosphere of AA’s London home, the three-week long programme is formulated as a two-stage process. During the initial stage, participants are introduced to core concepts related to material processes, computational methods, and various digital fabrication techniques. During the second stage, the fabrication and assembly of a full-scale architectural intervention with the use of robotic fabrication techniques unifies the design goals of the programme.
Prominent Features of the programme:
• Teaching team: Participants engage in an active learning environment where the large tutor to student ratio (5:1) allows for personalized tutorials and debates.
• Facilities: AA Digital Prototyping Lab (DPL) offers laser cutting, CNC milling, 3d printing facilities, and 2 KUKA robotic arms.
• Computational skills: The toolset of Summer DLAB includes but is not limited to Rhinoceros, Processing, Grasshopper, and various analysis tools.
• Theoretical understanding: The dissemination of fundamental design techniques and relevant critical thinking methodologies through theoretical sessions and seminars forms one of the major goals of Summer DLAB.
• Professional awareness: Participants ranging from 2nd year students to PhD candidates and full-time professionals experience a highly-focused collaborative educational model which promotes research-based design and making.
• Robotic Fabrication: According to the specific agenda of each year, scaled working models are produced via advanced digital machining tools, followed by the fabrication of one-to-one scale prototypes with the use of KUKA KR60 and KR30 robots.
• Lecture series: Taking advantage of its unique location, London, Summer DLAB creates a vibrant atmosphere with its intense lecture programme.
Eligibility: The workshop is open to architecture and design students and professionals worldwide.
Accreditation: Participants gain 1 Year AA Visiting Membership and are awarded AA Certificate of Attendance at the successful completion of AA Summer DLAB.
Applications: The AA Visiting School requires a fee of £1900 per participant, which includes a £60 Visiting Membership fee. Discount options for groups are available. Please contact the AA Visiting School Coordinator for more details.
The deadline for applications is 17 July 2017. No portfolio or CV, only requirement is the online application form and fees. The online application can be reached from:
https://www.aaschool.ac.uk/STUDY/ONLINEAPPLICATION/visitingApplication.php?schoolID=460
For inquiries, please contact:
elif.erdine@aaschool.ac.uk (Programme Head)
alexandros.kallegias@aaschool.ac.uk (Programme Head)…
lysis, and large-scale prototyping techniques. The research generated at Summer DLAB has been published in international media and peer-reviewed conference papers.
AA Summer DLAB investigates on the correlations between form, material, and structure through the rigorous implementation of computational methods for design, analysis, and fabrication, coupled with analog modes of physical experimentation. Each cycle of the programme devises custom-made architectural processes through the creation of novel associations between conventional and contemporary design and fabrication techniques. The research culminates in the design and fabrication of a one-to-one scale prototype realized by robotic fabrication techniques.
Prominent Features of the programme:
Teaching team: Summer DLAB tutors are selected from recent graduates / current tutors at the AA and the small student ratio (5:1) allows for personalized tutorials and debates.
Facilities: AA Digital Prototyping Lab (DPL) offers laser cutting, CNC milling, and 3d printing facilities, and 2 KUKA robotic arms.
Computational skills: The toolset of Summer DLAB includes but is not limited to Rhinoceros, Grasshopper and various computational analysis tools.
Theoretical understanding: The dissemination of fundamental design techniques and relevant critical thinking methodologies through theoretical sessions and seminars forms one of the major goals of Summer DLAB.
Professional awareness: Participants ranging from 2nd year students to PhD candidates and full-time professionals experience a highly-focused collaborative educational model which promotes research-based design and making.
Robotic Fabrication: Scaled working models are produced via advanced digital machining tools each year, followed by the fabrication of 1:1 scale prototypes with the use of KUKA KR60 and KR30 robots.
Lecture series: Taking advantage of its unique location, London, Summer DLAB creates a vibrant atmosphere with its intense lecture programme.
Eligibility: The workshop is open to architecture and design students and professionals worldwide.
Accreditation: Participants gain 1 Year AA Visiting Membership and are awarded AA Certificate of Attendance at the successful completion of AA Summer DLAB.
Applications: The AA Visiting School requires a fee of £1950 per participant, which includes a £60 Visiting Membership fee. Discount options for groups are available. Please contact the AA Visiting School Coordinator for more details.
The deadline for applications is 16 July 2018. No portfolio or CV, only requirement is the online application form and fees. The online application can be reached from:
https://www.aaschool.ac.uk/STUDY/ONLINEAPPLICATION/visitingApplication.php?schoolID=537
For inquiries, please contact:
elif.erdine@aaschool.ac.uk (Programme Head)…
lysis, and large-scale prototyping techniques. The research generated at Summer DLAB has been published in international media and peer-reviewed conference papers.
AA Summer DLAB investigates on the correlations between form, material, and structure through the rigorous implementation of computational methods for design, analysis, and fabrication, coupled with analog modes of physical experimentation. Each cycle of the programme devises custom-made architectural processes through the creation of novel associations between conventional and contemporary design and fabrication techniques. The research culminates in the design and fabrication of a one-to-one scale prototype realized by robotic fabrication techniques.
Prominent Features of the programme:
Teaching team: Summer DLAB tutors are selected from recent graduates / current tutors at the AA and the small student ratio (5:1) allows for personalized tutorials and debates.
Facilities: AA Digital Prototyping Lab (DPL) offers laser cutting, CNC milling, and 3d printing facilities, and 2 KUKA robotic arms.
Computational skills: The toolset of Summer DLAB includes but is not limited to Rhinoceros, Grasshopper and various computational analysis tools.
Theoretical understanding: The dissemination of fundamental design techniques and relevant critical thinking methodologies through theoretical sessions and seminars forms one of the major goals of Summer DLAB.
Professional awareness: Participants ranging from 2nd year students to PhD candidates and full-time professionals experience a highly-focused collaborative educational model which promotes research-based design and making.
Robotic Fabrication: Scaled working models are produced via advanced digital machining tools each year, followed by the fabrication of 1:1 scale prototypes with the use of KUKA KR60 and KR30 robots.
Lecture series: Taking advantage of its unique location, London, Summer DLAB creates a vibrant atmosphere with its intense lecture programme.
Eligibility: The workshop is open to architecture and design students and professionals worldwide.
Accreditation: Participants gain 1 Year AA Visiting Membership and are awarded AA Certificate of Attendance at the successful completion of AA Summer DLAB.
Applications: The AA Visiting School requires a fee of £1950 per participant, which includes a £60 Visiting Membership fee. Discount options for groups are available. Please contact the AA Visiting School Coordinator for more details.
The deadline for applications is 08 July 2019. No portfolio or CV, only requirement is the online application form and fees. The online application can be reached from:
https://www.aaschool.ac.uk/STUDY/ONLINEAPPLICATION/visitingApplication.php?schoolID=603
For inquiries, please contact:
elif.erdine@aaschool.ac.uk (Programme Head)
…
Added by elif erdine at 10:16am on February 19, 2019
option, after downloading check if .ghuser files are blocked (right click -> "Properties" and select "Unblock"). Then paste them in File->Special Folders->User Object Folder. You can download the example files from here. They act in similar way, Ladybug Photovoltaics components do: we pick a surface, and get an answer to a question: "How much thermal energy, for a certain number of persons can my roof, building facade... generate if I would populate them with Solar Water Heating collectors"? This information can then be used to cover domestic hot water, space heating or space cooling loads:
Components enable setting specific details of the system, or using simplified ones. They cover analysis of domestic hot water load, final performance of the SWH system, its embodied energy, energy value, consumption, emissions... And finding optimal system and storage size. By Dr. Chengchu Yan and Djordje Spasic, with invaluable support of Dr. Willian Beckman, Dr. Jason M. Keith, Jeff Maguire, Nicolas DiOrio, Niraj Palsule, Sargon George Ishaya and Craig Christensen. Hope you will enjoy using the components! References: 1) Calculation of delivered energy: Solar Engineering of Thermal Processes, John Wiley and Sons, J. Duffie, W. Beckman, 4th ed., 2013. Technical Manual for the SAM Solar Water Heating Model, NREL, N. DiOrio, C. Christensen, J. Burch, A. Dobos, 2014. A simplified method for optimal design of solar water heating systems based on life-cycle energy analysis, Renewable Energy journal, Yan, Wang, Ma, Shi, Vol 74, Feb 2015
2) Domestic hot water load: Modeling patterns of hot water use in households, Ernest Orlando Lawrence Berkeley National Laboratory; Lutz, Liu, McMahon, Dunham, Shown, McGrue; Nov 1996. ASHRAE 2003 Applications Handbook (SI), Chapter 49, Service water heating
3) Mains water temperature Residential alternative calculation method reference manual, California energy commission, June 2013. Development of an Energy Savings Benchmark for All Residential End-Uses, NREL, August 2004. Solar water heating project analysis chapter, Minister of Natural Resources Canada, 2004.
4) Pipe diameters and pump power: Planning & Installing Solar Thermal Systems, Earthscan, 2nd edition
5) Sun postion and POA irradiance, the same as for Ladybug Photovoltaics (Michalsky (1988), diffuse irradiance by Perez (1990), ground reflected irradiance by Liu, Jordan (1963))
6) Optimal system and storage tank size: A simplified method for optimal design of solar water heating systems based on life-cycle energy analysis, Renewable Energy journal, Yan, Wang, Ma, Shi, Vol 74, Feb 2015.…