![]() ![]() ![]() To that end, we will modify the base PHPP file with these supplemental calculations. In addition, note that the ‘out of the box’ energy balance calculations in the ‘Window’ worksheet are approximations and should usually be supplemented with more detailed calculations. While there is a bit of data calculated for each window for the winter period, for most North American climates we are equally interested in both the winter and summer periods. In PHPP, by default this data is not shown for each window. Whether you want net gain or loss will depend on your building’s use, climate and size - but being able to identify the critical performance drivers is useful no matter what your goal is. By calculating thermal losses and gains, each window can yield an overall energy balance - either gaining or losing energy over the course of the year. One area that we look at carefully when reviewing any building is the window net energy balance. PHPP, being an excel based modeling tool, can yield any number of useful evaluations or analyses of a building’s performance data. It simple adds to a couple new functions to the Sketchup model for those who are already using DesignPH to create PHPP models. Note: the plugin shown here is NOT part of, or associated in any way with the DesignPH tool. Feel free to give it a try and let us know what you think and if it works for you. ![]() If you’d like to use this extension you can find a download link at the bottom of the page here. This feature is not standard to DesignPH and so we have created a small extension which can be added to Sketchup in order to accomplish this. These types of visuals are standard in most client reports we produce and also very useful as ‘error checking’ during the model build.īelow I’ll demonstrate a simple workflow for using the PHPP (Passive House Planning Package) along with the DesignPH Sketchup Plugin to create a simple in-model visualization of building performance data. ![]() Through visualization techniques such as ‘heat maps,’ building performance data can be easy viewed and understood by members of the design team much quicker than if trying to read the raw data. In order to evaluate the performance of windows in a building energy model, it is often helpful to use simple graphical visualizations in order to make model data more ‘meaningful’ and comprehensible to the designer team. ![]()
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