[Bldg-sim] deriving shorter timestep data from monthly or annual

[Jeff Haberl]

Hello Chris,



I think the definitive work on this was done as part of ASHRAE Research project 1404 by Bass Abushakra and Agami Reddy...(see below).



Jeff

1404-RP
Measurement, Modeling, Analysis and Reporting Protocols for Short-term M&V of Whole Building Energy Performance



Completed January 2014
Milwaukee School of Engineering
Principal Investigator, Bass Abushakra
TC 4.7, Energy Calculations

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.


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Jeff S. Haberl, Ph.D.,P.E.inactive,FASHRAE,FIBPSA,......jhaberl at tamu.edu<mailto:........jhaberl at tamu.edu>
Professor........................................................................Office Ph: 979-845-6507
Department of Architecture............................................Lab Ph:979-845-6065
Energy Systems Laboratory...........................................FAX: 979-862-2457
Texas A&M University...................................................77843-3581
College Station, Texas, USA, 77843.............................http://esl.tamu.edu
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________________________________
From: Bldg-sim [bldg-sim-bounces at lists.onebuilding.org] on behalf of Chris Yates [chris.malcolm.yates at gmail.com]
Sent: Thursday, August 27, 2015 2:44 PM
To: bldg-sim at lists.onebuilding.org
Subject: [Bldg-sim] deriving shorter timestep data from monthly or annual

Dear all,

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.

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.

In an ideal world, it would be helpful to develop the daily consumption weighted with the following factors:

  *   Parasitic losses - these can be estimated from when the facility is largely closed during the off season
  *   Historic game fixtures - readily available from the web
  *   Weather, including about 1MW of underpitch heating

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?

Many thanks

Chris
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