[Bldg-sim] Automated Sensitivity Analysis and Visualization

[Performance Network via Bldg-sim]

Where should building funds be invested? In the HVAC or the building envelope? Learn to automate and visualize sensitivity analysis.

In a better window U-Value or a better window shade system? Arguably, the most design-altering application of energy modeling in today's world is sensitivity analysis, which helps answer these early design questions by testing the relative importance of competing variables. This session will show how to answer these questions in early design with the setup of small parametric energy models in Ladybug+Honeybee. Participants will learn how to automate the simulating of all combinations of these parameters and will visualize results in two interfaces: the open source web platform, Design Explorer, and the standalone desktop software, Tableau.



Ladybug+Honeybee

Brute Force Parametric Energy Modeling and Sensitivity Analyses in Early Design

Tool Developer Led Live Webinar


Register

https://attendee.gototraining.com/42b11/register/4855769181429717762



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.


Register

https://attendee.gototraining.com/42b11/register/4855769181429717762


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Performance Network

http://www.performance.network


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