Capitalizing on the data management capabilities of Revit software coupled with the parametric capabilities of the Dynamo visual programming language extension has incredible potential to inform early design decisions led by the owner, designer, or contractor. This hands-on lab will take the user through a step-by-step process, from accelerated site and zoning analysis through evaluation of proposed designs. Constraints will shape the design exercise in a manner that will prove both informative and timesaving to the parties involved. Participants will leave the lab knowing a new and very effective method for performing real-time, iterative feasibility studies.
Those who author & evaluate buildings in an iterative manner for financial & energy performance metrics.
Brandon Schumacher is the BuildingSMART manager for HOK New York, overseeing Building Information Modeling (BIM) and technology implementation for 220 staff in 2 office locations. Prior to joining HOK, he was at BuroHappold Engineering as a BIM coordinator for nearly 2 years. Brandon has 9 years of experience in the design industry and 5 years in the construction industry, and he has served as a project manager at Randy Brown Architects; BIM specialist and project engineer at SHoP Architects; and BIM director at CookFox Architects, LLP. Brandon's current role is to oversee BIM training, standards, and support initiatives for the HOK NY offices, as well as participate in firm-wide development of content, standards, and innovation of processes. Brandon has a bachelor's degree in architecture from Iowa State University and a master's degree in mechanical engineering from Stevens Institute of Technology. He is also a regular attendee and member of the New York City Revit Users Group.
This class will introduce concepts that will help you creatively capitalize on your Revit software data with the Dynamo visual programming language extension. The Dynamo extension enables users with powerful data-mining capabilities through a graphical user interface. These capabilities, once only available to Revit software API experts, have made it easier to get to your Revit software data, to manipulate it, and to stream it to many external sources. The class will introduce key concepts for accessing, formatting, and sharing Revit software model data using the Dynamo extension and packages such as LunchBox and Slingshot.
This class will demonstrate effective practices for creating, sharing, and maintaining custom Dynamo extension nodes. The class will use Python scripting and DesignScript programming language to customize the Dynamo extension, and we'll explore effective practices for curating reusable nodes for sharing through the package manager. Finally, the class will showcase custom Dynamo extension packages, authored by the presenter, and walk through how these packages are used and maintained for the user community.
Revit software and Green Building Studio web-based energy analysis service provide us with in-depth and overwhelming data in relation to building performance. Currently, however, organizing the data and decision-making is mostly a user responsibility. For example, although Revit software's full analysis provides us with lighting and thermal analysis, the results are not synchronized. To be more exact, the lighting part of the full analysis uses lighting power density (LPD), which is only related to the area and disregards other features such as window properties (even window size) or orientation, and so on. Using the Dynamo visual programming language extension and cloud-rendering services (illuminance calculation is currently a render operation) provided by Autodesk, Inc., it is possible to gather and organize illuminance values for the internal space. From there it is easy to calculate the internal lighting load, and accordingly it is possible to achieve a fully concerted thermal and lighting analysis, which is crucial in decision-making (especially in the design phase).