[Bldg-sim] Condensation Modeling with Honeybee in Two Weeks

[Performance Network via Bldg-sim]

Condensation Modeling with EnergyPlus and Honeybee



Register

https://attendee.gototraining.com/r/6047173593008781826


As we harness technologies such as humidity control, air-and-vapor barriers, and radiant slabs, we’ve realized a number of benefits in functionality and/or energy use. However, these technologies have spawned new problems as they increase the potential for condensation, which can generate mold, slippery floors, and other undesirable situations. This session will demonstrate two methods for evaluating condensation risk using Ladybug and Honeybee: 1) Using THERM to understand where in an envelope condensation can happen and 2) Using EnergyPlus to understand when condensation can happen over a year. These methods will help answer questions such as “where should the air and vapor barrier go for construction detail in a given climate?”, “are natural ventilation and cooled radiant slabs compatible for a given climate?” and “How insulated must a window be to prevent wintertime condensation for a humidified interior?”

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/r/6047173593008781826



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Performance Network

http://www.performance.network


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