<div dir="ltr"><div class="gmail_default" style="font-size:large;color:#b45f06">Dear Chris,</div><div class="gmail_default" style="font-size:large;color:#b45f06">How about developing a full energy model with a decent amount of measured data, then calibrating to actual utility data and actual weather?</div><div class="gmail_default" style="font-size:large;color:#b45f06"><br></div><div class="gmail_default" style="font-size:large;color:#b45f06">The underpitch heating is probably a daunting task for any modeling engine; it would be best to have some sub-meter data for that. Nonetheless, the model could become a starting point for understanding daily usage. Refinements would follow as you get more actual data.</div><div class="gmail_default" style="font-size:large;color:#b45f06"><br></div><div class="gmail_default" style="font-size:large;color:#b45f06">Many years ago, when working for a big university, we sent students around campus on a several mile trek <u>every day</u> to record daily energy use so that we could regress energy use against daily temperatures. These days, it seems that you can save leg power by using BMS data or data logging. Short of some type of sub-metering or BMS metering, I think it's impossible to gain a true understanding of what is happening.</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Aug 27, 2015 at 3:44 PM, Chris Yates <span dir="ltr"><<a href="mailto:chris.malcolm.yates@gmail.com" target="_blank">chris.malcolm.yates@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div bgcolor="#FFFFFF" text="#000000">
Dear all,<br>
<br>
I have monthly gas data for a soccer stadium and I'm trying to
develop it toward daily (or even hourly) data so this can be used in
subsequent assessments.<br>
<br>
My own efforts on previous assessments have extended to relatively
crude application of multipliers (possibly based on a simulation
study) and an overall divisor. This is very limited, especially in
this case.<br>
<br>
In an ideal world, it would be helpful to develop the daily
consumption weighted with the following factors:<br>
<ul>
<li>Parasitic losses - these can be estimated from when the
facility is largely closed during the off season</li>
<li>Historic game fixtures - readily available from the web</li>
<li>Weather, including about 1MW of underpitch heating</li>
</ul>
<p>I'm surrendered to the possibility that this is well beyond me!
But, can anybody suggest excel functions or other software tools
they may have used, or even what math for me to look up on Google?
<br>
</p>
<p>Many thanks <br><span class="HOEnZb"><font color="#888888">
</font></span></p><span class="HOEnZb"><font color="#888888">
<p>Chris<br>
</p>
</font></span></div>
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<br></blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><p><span style="font-size:10pt;font-family:Arial,sans-serif;color:black;background-image:initial;background-repeat:initial"></span></p>James V Dirkes II, PE, BEMP, LEED AP<br>CEO/President<br>The Building Performance Team Inc.<br>1631 Acacia Dr, GR, Mi 49504<br><br>Direct: 616.450.8653<br><a href="mailto:jim@buildingperformanceteam.com" target="_blank">jim@buildingperformanceteam.com</a><br><br><a href="http://buildingperformanceteamcom" target="_blank">Website </a>l <a href="https://www.linkedin.com/pub/jim-dirkes/7/444/413" target="_blank">LinkedIn</a><p align="center" style="margin-bottom:0in;margin-bottom:.0001pt;text-align:center"><b><i><span style="font-size:14.0pt;line-height:115%;font-family:"MS Reference Sans Serif","sans-serif""> </span></i></b><span style="font-family:"MS Reference Sans Serif","sans-serif""></span></p><p style="vertical-align:middle">
</p><p style="margin-bottom:6.0pt;text-autospace:none"><span style="font-size:10.0pt;font-family:"Calibri","sans-serif""><font color="#0000ff">Life is not easy. It’s never been easy. Expecting it to be easy
is not a healthy attitude.<br>
Relax. Refresh. Regroup. Carry on.</font></span></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
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