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Jeff, Chris, <br>
<br>
I don't think RP-1404 sounds the same as what Chris is after. In
RP-1404, the goal is to find the shortest monitoring period, e.g., 2
weeks, from which long-term annual performance can be reliably
extrapolated. From Chris' post, I get the feeling that he was
interested in ways to take utility bills and somehow disaggregate
them by end use and shorter time periods (daily or even hourly). <br>
<br>
If all you're working with is monthly gas utility bills, I can't
think of any other way than to regress them against variable-base
degree days ala' the Princeton Scorekeeping Method (PRISM). Use the
base temperature with the best R2. Then, take the average of the
gas consumption for those months with no degree days as the
non-weather-related gas consumption. The regression slope then
allows you to apportion the weather-related gas consumption by day.
<br>
<br>
All this assumes that both the base load and the heating
load/degree-day are constant, which may be rather dubious,
especially for something like a stadium. <br>
<br>
That's all for my two-cents.<br>
<br>
Joe<br>
<br>
<br>
<pre class="moz-signature" cols="72">Joe Huang
White Box Technologies, Inc.
346 Rheem Blvd., Suite 205A
Moraga CA 94556
<a class="moz-txt-link-abbreviated" href="mailto:yjhuang@whiteboxtechnologies.com">yjhuang@whiteboxtechnologies.com</a>
<a class="moz-txt-link-freetext" href="http://weather.whiteboxtechnologies.com">http://weather.whiteboxtechnologies.com</a> for simulation-ready weather data
<a class="moz-txt-link-freetext" href="http://www.whiteboxtechnologies.com">http://www.whiteboxtechnologies.com</a>
(o) (925)388-0265
(c) (510)928-2683
"building energy simulations at your fingertips"
</pre>
<div class="moz-cite-prefix">On 8/27/2015 1:17 PM, Jeff Haberl
wrote:<br>
</div>
<blockquote
cite="mid:9F589FD23AD8AB41A8ED33EE68F2CFC7F679541D@TEESMAIL.tees.tamus.edu"
type="cite">
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<p class="MsoBodyText3" style="MARGIN: 0in 0in 0pt"><o:p><span
style="TEXT-DECORATION: none">Hello Chris,
</span></o:p></p>
<p class="MsoBodyText3" style="MARGIN: 0in 0in 0pt"><o:p><span
style="TEXT-DECORATION: none"></span></o:p> </p>
<p class="MsoBodyText3" style="MARGIN: 0in 0in 0pt"><o:p><span
style="TEXT-DECORATION: none">I think the definitive work
on this was done as part of ASHRAE Research project 1404
by Bass Abushakra and Agami Reddy...(see below).</span></o:p></p>
<p class="MsoBodyText3" style="MARGIN: 0in 0in 0pt"><o:p><span
style="TEXT-DECORATION: none"></span></o:p> </p>
<p class="MsoBodyText3" style="MARGIN: 0in 0in 0pt"><o:p><span
style="TEXT-DECORATION: none">Jeff</span></o:p></p>
<p class="MsoNormal" style="TEXT-ALIGN: justify; MARGIN: 0in
-1in 0pt 0in"><b style="mso-bidi-font-weight: normal"><u><span
style="FONT-SIZE: 10pt; FONT-FAMILY: "Times New
Roman","serif""></span></u></b> </p>
<p class="MsoNormal" style="TEXT-ALIGN: justify; MARGIN: 0in
-1in 0pt 0in"><b style="mso-bidi-font-weight: normal"><u><span
style="FONT-SIZE: 10pt; FONT-FAMILY: "Times New
Roman","serif"">1404-RP
<!--?xml:namespace prefix = "o" ns = "urn:schemas-microsoft-com:office:office" /-->
<o:p></o:p></span></u></b></p>
<p class="MsoNormal" style="TEXT-ALIGN: justify; MARGIN: 0in 0in
0pt"><b style="mso-bidi-font-weight: normal"><span
style="FONT-SIZE: 10pt; FONT-FAMILY: "Times New
Roman","serif"; TEXT-TRANSFORM: uppercase">Measurement,
Modeling, Analysis and Reporting Protocols for Short-term
M&V of Whole Building Energy Performance</span></b><span
style="FONT-SIZE: 10pt; FONT-FAMILY: "Times New
Roman","serif"; TEXT-TRANSFORM: uppercase"><o:p></o:p></span></p>
<p class="Document1" style="PAGE-BREAK-AFTER: auto; MARGIN: 0in
0in 0pt; mso-pagination: widow-orphan">
<span style="FONT-FAMILY: "Times New
Roman","serif""><o:p> </o:p></span></p>
<p class="Document1" style="PAGE-BREAK-AFTER: auto; MARGIN: 0in
0in 0pt; mso-pagination: widow-orphan">
<span style="FONT-FAMILY: "Times New
Roman","serif"">Completed January 2014<o:p></o:p></span></p>
<p class="MsoNormal" style="TEXT-ALIGN: justify; MARGIN: 0in
-1in 0pt 0in"><span style="FONT-SIZE: 10pt; FONT-FAMILY:
"Times New Roman","serif"">Milwaukee
School of Engineering<o:p></o:p></span></p>
<p class="MsoNormal" style="TEXT-ALIGN: justify; MARGIN: 0in
-1in 0pt 0in"><span style="FONT-SIZE: 10pt; FONT-FAMILY:
"Times New Roman","serif"">Principal
Investigator, Bass Abushakra<o:p></o:p></span></p>
<p class="MsoNormal" style="TEXT-ALIGN: justify; MARGIN: 0in
-1in 0pt 0in"><span style="FONT-SIZE: 10pt; FONT-FAMILY:
"Times New Roman","serif"">TC 4.7,
Energy Calculations<o:p></o:p></span></p>
<p class="MsoNormal" style="TEXT-ALIGN: justify; MARGIN: 0in
-1in 0pt 0in"><span style="FONT-SIZE: 10pt; FONT-FAMILY:
"Times New Roman","serif""><o:p> </o:p></span></p>
<p class="MsoNormal" style="TEXT-ALIGN: justify; MARGIN: 0in 0in
0pt; TEXT-AUTOSPACE: ; mso-layout-grid-align: none">
<span style="FONT-SIZE: 10pt; FONT-FAMILY: "Times New
Roman","serif"">The objective of this
research is to develop a new method to determine the
shortest time period for energy use monitoring involving
hourly (or sub-hourly) data that will yield reliable and
accurate long term energy use estimates within acceptable
uncertainty limits. By evaluating the uncertainty in the
measured data as the monitoring period progresses, the new
method will allow users to evaluate the energy performance
and calculate energy savings in commercial and institutional
buildings, in a cost-effective short-term monitoring period
instead of the current year-long monitoring stipulated in
most M&V protocols. The new approach would resolve the
problem of needing long-term monitored data, which is often
very costly to obtain and/or historically unavailable. In
addition, this measurement/extrapolation approach should be
designed as simply as possible to meet the uncertainty
targets in energy savings stipulated in M&V protocols
such as ASHRAE Guideline 14.<o:p></o:p></span></p>
<p class="MsoNormal" style="TEXT-ALIGN: justify; MARGIN: 0in 0in
0pt"> </p>
<div>
<div style="FONT-SIZE: 13px; FONT-FAMILY: Tahoma">
<div> </div>
<div><font size="2" color="#0000ff" face="Tahoma">8=! 8=)
:=) 8=) ;=) 8=) 8=( 8=) 8=() 8=) 8=| 8=) :=')
8=) 8=?<br>
Jeff S. Haberl, Ph.D.,P.E.inactive,FASHRAE,FIBPSA,......<a
moz-do-not-send="true"
href="mailto:........jhaberl@tamu.edu"><a class="moz-txt-link-abbreviated" href="mailto:jhaberl@tamu.edu">jhaberl@tamu.edu</a></a><br>
Professor........................................................................Office
Ph: 979-845-6507<br>
Department of
Architecture............................................Lab
Ph:979-845-6065<br>
Energy Systems
Laboratory...........................................FAX:
979-862-2457<br>
Texas A&M
University...................................................77843-3581<br>
College Station, Texas, USA,
77843.............................http://esl.tamu.edu<br>
8=/ 8=) :=) 8=) ;=) 8=) 8=() 8=) :=) 8=) 8=!
8=) 8=? 8=) </font><font size="2" color="#0000ff"
face="Tahoma">8=0<br>
</font></div>
<font size="2" color="#0000ff" face="Tahoma">
</font></div>
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<div id="divRpF274620" style="DIRECTION: ltr"><font size="2"
color="#000000" face="Tahoma"><b>From:</b> Bldg-sim
[<a class="moz-txt-link-abbreviated" href="mailto:bldg-sim-bounces@lists.onebuilding.org">bldg-sim-bounces@lists.onebuilding.org</a>] on behalf of
Chris Yates [<a class="moz-txt-link-abbreviated" href="mailto:chris.malcolm.yates@gmail.com">chris.malcolm.yates@gmail.com</a>]<br>
<b>Sent:</b> Thursday, August 27, 2015 2:44 PM<br>
<b>To:</b> <a class="moz-txt-link-abbreviated" href="mailto:bldg-sim@lists.onebuilding.org">bldg-sim@lists.onebuilding.org</a><br>
<b>Subject:</b> [Bldg-sim] deriving shorter timestep data
from monthly or annual<br>
</font><br>
</div>
<div>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>
</p>
<p>Chris<br>
</p>
</div>
</div>
</div>
<br>
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