Jim,
Sorry if I came off as a little smug. You've actually put in words
the main reason why I think building energy modelers have steered
away from using historical weather data, which is simply that of
convenience, i.e., there are a lot of "typical year" weather files
floating around, but getting hold of
a usable historical year weather file takes a little more work.
For the study that I mentioned, Dru and I did not have to do
anything because the SANSOM data set,
available from NCDC, contained 25 years of historical weather files
for 239 cities (same as TMY2s).
That was in 1996, and the availability of historical weather data
has only increased exponentially since
then, although the building energy modeling community seems
curiously to not have followed.
The most notable change, in my view, is NCDC's decision to put the
entire ISH (Integrated Surface Hourly) data online in 2005, and then
to make it free to all in 2011. This means that the raw weather
reports
from major stations around the world ( ~ 1,500 in the US) are
available stretching back to 1980.
I've been working with the ISH for many years now, and am able to
generate complete weather files from any ISH file within seconds,
and have been providing that as a service to customers. Sometime
later this
year, I'll be rolling out something on the Web, but for now, those
interested can just send me an e-mail.
The idea that the ISH is of questionable quality is, in my view,
rather backwards. The ISH is a repository of the weather reports by
the "official" weather stations around the world, so if you can't
trust that, what can you trust?
Joe
Joe Huang
White Box Technologies, Inc.
346 Rheem Blvd., Suite 108D
Moraga CA 94556
yjhuang@xxxxxxxxxxxxxxxxxxxxxxxx
www.whiteboxtechnologies.com
(o) (925)388-0265
(c) (510)928-2683
"building energy simulations at your fingertips"
On 6/28/2012 11:48 AM, Jim Dirkes wrote:
Dear Joe,
No fair! You and Dru have been at the forefront
energy modeling research for most of my adult life,
and have a big head start.
My guess is that you spent a lot of time
preparing the actual weather files for the research,
however. Unless I’m missing something, the ready
availability of high quality (e.g., no big hunks of
missing data) actual weather data has been pretty
limited until recently. With folk like Weather
Analytics getting on board and making it pretty easy
to get and inexpensive, it becomes a lot faster and
lower cost than trying to clean some of the NOAA /
NCDC data, not to mention getting good data for sites
not in or near a major city.
Kudos for being way ahead of the industry curve
(at least my own curve)! It’s getting easier to catch
up!
p.s., Dru sent me that paper and I’ll be reading
it with interest very soon.
I've always thought it was a "no-brainer" to use actual
weather data whenever you're comparing simulation
results to actual consumption data. Even with the
earliest degree-day software such as
PRISM (Princeton Scorekeeping Method) in the 1980's, it
was stressed to use the degree days
from the period of record, and not the long-term
average, so I'm not sure why this (using actual
year weather data) is such a revelation.
The variation in total energy consumption of course
depends a lot on the building characteristics.
Back in 1996, Dru Crawley and I wrote a paper on "Does
it matter which weather data you use in energy
simulations?", for the ACEEE Summer Study on Energy
Efficiency in Buildings (it also appeared as two
separate ASHRAE papers at around the same time) where we
took some prototypical building models (Dru did
commercial, I did residential) and ran them with various
"typical year" weather files and also 25 years of
historical data in 10-12 US locations.
Joe
Joe Huang
White Box Technologies, Inc.
346 Rheem Blvd., Suite 108D
Moraga CA 94556
yjhuang@xxxxxxxxxxxxxxxxxxxxxxxx
www.whiteboxtechnologies.com
(o) (925)388-0265
(c) (510)928-2683
"building energy simulations at your fingertips"
On 6/28/2012 8:49 AM, Jim Dirkes wrote:
Dear Forums,
I am busy preparing a short talk for the Fall
ASHRAE Energy Modeling Conference. The topic is
“An Approach for Calibrating Existing Building
Energy Models to their Utility Consumption”.
As part of the preparation, I will address the
issue of how muc
h difference might result in energy conservation
measure savings predictions if you use actual
weather data for the billing period versus TMY
data.
To get a rough idea how much variation there
might be, I looked at Degree Days for a span of
years. What a variation! (for the city I’m
studying at least)
I am not yet sure how that affects total energy
consumption – you’ll have to attend my
presentation in Atlanta to find out J.
In the meantime, I am starting to think that
existing building energy models should use
actual weather, not TMY data. Have any of you
run similar comparisons for existing building
models?
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