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<p class="MsoNormal"><a name="_MailEndCompose"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">Climate files used in the simulations versus the actual weather.<o:p></o:p></span></a></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">I’m in the midst of a project that shows a variance in EUI of up to 200% just by changing the climate file for the DOE primary school.
Full results to be presented in September.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">Add in all the other factors already mentioned, and if your 90.1 model comes anywhere close the real buildings’ it’s far more likely
that the 90.1 model was extremely “lucky” than it is that the model used accurate assumptions.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">Regards,<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">Nathan<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif">From:</span></b><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif"> Bldg-sim [mailto:bldg-sim-bounces@lists.onebuilding.org]
<b>On Behalf Of </b>Maria-Lida Kou<br>
<b>Sent:</b> Thursday, May 21, 2015 9:17 AM<br>
<b>To:</b> Jacob Dunn<br>
<b>Cc:</b> bldg-sim@lists.onebuilding.org<br>
<b>Subject:</b> Re: [Bldg-sim] Comparing ASHRAE 90.1 App G Models to Real Buildings<o:p></o:p></span></p>
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<p class="MsoNormal">Jacob,<o:p></o:p></p>
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<p class="MsoNormal">Happy to hear that other people are thinking the same. <o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">I was into this subject on my own thoughts recently.<o:p></o:p></p>
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<p class="MsoNormal">I would like to add in your list: Occupants' behavior actually which is not in the stage to be included into the prediction.<o:p></o:p></p>
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<p class="MsoNormal">I would add commissioning as well along with controls simulation and controls operation.<o:p></o:p></p>
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<p class="MsoNormal">Apologies because I haven't worked with LEED projects but I think the above applied in general to "the performance gap".<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Really looking forward to hearing more about this subject as I am not that experienced engineer yet, but really interested in "the performance" side of buildings.<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Best,<o:p></o:p></p>
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<p class="MsoNormal">Maria-Lida Kounadi<o:p></o:p></p>
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<p class="MsoNormal">2015-05-21 15:04 GMT+01:00 Jacob Dunn <<a href="mailto:jdunn@eskewdumezripple.com" target="_blank">jdunn@eskewdumezripple.com</a>>:<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US">Bldg-Sim Community –
<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US"> <o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US">I’m trying to compile a list of why it might be inappropriate to compare Appendix G models to actual consumption data. This comes about because I recently got
into a debate with one of my co-workers when looking at the infamous NBI chart/study that shows little correlation to predicted and actual energy values of LEED buildings. I was trying to explain that the Appendix G model’s intent is NOT to be compared to
actual consumption, as it is a modeling protocol aimed at creating consistent relative comparisons for LEED points.
<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US"> <o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US">Here are the reasons thus far that support this notion (that App G models shouldn’t be compared to actual data). Does anyone know of any resources out there
that expand upon this? Or can you think other reasons?<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US"> <o:p></o:p></span></p>
<p><span lang="EN-US">-</span><span lang="EN-US" style="font-size:7.0pt">
</span><span lang="EN-US">Appendix G does not take into account external shading, which can be critical in urban environments for accurate energy predictions<o:p></o:p></span></p>
<p><span lang="EN-US">-</span><span lang="EN-US" style="font-size:7.0pt">
</span><span lang="EN-US">Schedules are typically not created with the intent of being predictive. Overall building hours are adhered to, but detailed schedule creation is not usually in the scope of a LEED model (or is it, in your experience?). For instance,
typical plug load base values during unoccupied times are .3, this is a pretty big assumption.<o:p></o:p></span></p>
<p><span lang="EN-US">-</span><span lang="EN-US" style="font-size:7.0pt">
</span><span lang="EN-US">The App G model uses a TMY weather file, which can vary from the current weather year (I wonder on average by how much?)<o:p></o:p></span></p>
<p><span lang="EN-US">-</span><span lang="EN-US" style="font-size:7.0pt">
</span><span lang="EN-US">Infiltration values are assumed, unless blower door testing has been done (which is rare for commercial buildings).<o:p></o:p></span></p>
<p><span lang="EN-US">-</span><span lang="EN-US" style="font-size:7.0pt">
</span><span lang="EN-US">Thermostat values are modeled as consistent across the building, which is rarely the case in an actual operating building<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US"> <o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US">Any additional insight is much appreciated!<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US"> <o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US"> <o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:12.0pt"><b><span lang="EN-US" style="font-size:8.0pt;font-family:"Arial",sans-serif;color:#7D7773;letter-spacing:.3pt">Jacob Dunn LEED AP BD+C</span></b><span lang="EN-US"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><b><span lang="EN-US" style="font-size:8.0pt;font-family:"Arial",sans-serif;color:#A9AA23;letter-spacing:.3pt">ESKEW+DUMEZ+RIPPLE, APC</span></b><span lang="EN-US" style="font-size:8.0pt;font-family:"Arial",sans-serif;color:black;letter-spacing:.3pt">
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:110%">
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><u><span lang="EN-US" style="font-size:8.0pt;font-family:"Arial",sans-serif;color:#7D7773;letter-spacing:.3pt"><a href="http://www.eskewdumezripple.com/" target="_blank"><span style="color:#7D7773">eskewdumezripple.com</span></a></span></u><span lang="EN-US"><o:p></o:p></span></p>
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