Ladybug+Honeybee: Expanding Your Climate Data Sources with Dragonfly

Host:

Performance.Network

Online

May 4, 2017

This session will cover the creation of actual mean year (AMY) epw weather files from any of the thousands of public weather stations located on this global map: https://gis.ncdc.noaa.gov/map/viewer/#app=cdo&cfg=cdo&theme=hourly&layers=1&node=gis. Participants will use this database, existing TMY data, and the Dragonfly plugin for Grasshopper to create weather files for atypical locations and extreme years. These weather files will expand uses of EPW data to new topics such as passive survivability during extreme events, comparison of different urban microclimates, and much more. If Dragonfly’s climate change capabilities are completed by the time of this workshop, this session will also show how to warp epw climate data to account for climate change projections. 

Date & Time: Thu, May 4, 2017; 9:30 AM - 11:30 AM PDT

Learn More & Register: https://attendee.gototraining.com/42b11/register/6999589256686122498

** IBPSA-USA members save $10 on Performance.Network trainings, which reduces the non-member $15 registration fee to $5. Just use the code ibpsaus. Learn more here. **

About the Presenter: 

Chris Mackey is a building scientist and designer at Payette Architects as well as a recent graduate of MIT’s Masters of Architecture and Masters of Science in Building Technology 
programs. His completed thesis involved the development of software to produce high-resolution thermal comfort maps of buildings off of EnergyPlus results as well as a new suite of spatial thermal comfort metrics that mirror those currently used to quantify daylight. 

SKILLS & TOPICS: Chris has intimate knowledge of the following languages / software: Python, Grasshopper, Rhino (incl. RhinoCommon), EnergyPlus, OpenStudio. In his free time, Chris is an avid contributor to the Ladybug + Honeybee environmental analysis plugins for grasshopper and is currently in the process of building a new “insect” to link these two plugins and the Rhino/Grasshopper interface to macro-scale climate modeling engines and data sets.

 

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