[Bldg-sim] Lies, darn lies, and statistics

Jason Glazer jglazer at gard.com
Tue Mar 14 12:52:34 PDT 2023


As a side note, Dru was probably quoting George Box:

https://en.wikipedia.org/wiki/All_models_are_wrong

Jason


On 3/14/2023 2:12 PM, Jim Dirkes via Bldg-sim wrote:
> I think Dru Crawley coined the phrase, "All models are 
> wrong. Some are useful."
>
> Chris, you highlighted an assortment of variables which 
> are omnipresent, inconsistent and uncontrollable - so 
> what, exactly, does your client expect? Is it a realistic 
> expectation? For example, are they going to nail you to 
> the wall when, inevitably, you are "wrong" next year?
>
> I have not calibrated many models, but have been made more 
> appreciative of all the uncontrollables by the ones I 
> calibrated :(. All the statisticians know that there is 
> always more than one solution which will result in a high 
> R2 value or low CVRSME, so which is correct?
>
> Rather than a calibrated model, lately I've been 
> encouraging clients to consider one of the FDD platforms 
> on top of their Building Automation System. Spending time 
> and money to evaluate whether things are working properly 
> makes more sense to me - it's "real life" vs a prediction. 
> (Can't forget to mention thoughtful and thorough 
> commissioning here; that's essential.)
>
> ps, I love your thoughtful approach. You're setting a 
> great example! One aspect of that is to reach out to the 
> wider modeling community to gather input and feedback.
>
> Jim Dirkes  1631 Acacia Drive NW Grand Rapids, MI 49504 -  
> 616 450 8653
>
> *Coffee Conversation:*
> *The "individual" is an impossible concept, conceived by 
> the Enlightenment philosophers. It makes no sense to the 
> Christian. In marriages, and families, in associations and 
> friendships and religious orders, we are not 
> individuals, but a communion of persons.
> *
>
> ------- Original Message -------
> On Tuesday, March 14th, 2023 at 2:10 PM, 
> chris.malcolm.yates at gmail.com 
> <chris.malcolm.yates at gmail.com> wrote:
>
>> I think I need to qualify this: informed by G14, but 
>> definitely not compliant with it! There is some allowance 
>> for repairing or “healing” data, but when the data has a 
>> lot of holes or modes/ category variables then forget it. 
>> This is my case, but the client still wants some kind of 
>> representative simulation.
>>
>> Monthly models can be garbage. School holidays cut across 
>> months at different times, combined heat and power is 
>> popular which complicates gas usage especially when 
>> metering is limited… did the heat by-product of 
>> electricity generation go to the building, or was it 
>> rejected? They can work for heating in our temperate 
>> climate, but not for cooling.
>>
>> Nevertheless, we need some kind of representative 
>> simulation model. We can’t make any ECM qualifying claims 
>> but we can do something useful. This is where these 
>> methods can give you a lot of insight before you start 
>> modelling.
>>
>> I hadn’t tried the IMT previously. We tend to have 
>> limited our regression analysis to monthly “degree day” 
>> methods (your 2p model, I think). I plugged some project 
>> specific daily electricity data into the MVR example 
>> (multi variate regression) and it seemed to give decent 
>> CVRMSE (~2-3%) but low R2 (~0.7). However, it appeared to 
>> provide some insight on cooling usage (monthly 2p models 
>> are meaningless for this in the UK’s temperate climate).
>>
>> I also made some 2p monthly models of gas. I thought 
>> these were good until I compared successive years. *I 
>> guess this is were understanding a range of statistical 
>> indices is helpful.*
>>
>> Here’s the final rub, because the underlying data has so 
>> many inconsistencies that can only be made sense of with 
>> some regression models, it’s easier to “calibrate” the 
>> simulation model to the regression models than the 
>> original data. But I may use 2p monthly for gas, daily 
>> MVR for electric…
>>
>> So I need to ask if I have wondered completely off-piste 
>> with this!
>>
>> Chris
>>
>> *From:*David Eldridge <dancingdavide at hotmail.com>
>> *Sent:* Tuesday, March 14, 2023 12:53 PM
>> *To:* Jim Dirkes <jvdirkes2 at protonmail.com>
>> *Cc:* chris.malcolm.yates at gmail.com; bldg-sim at onebuilding.org
>> *Subject:* Re: [Bldg-sim] Lies, darn lies, and statistics
>>
>> Indirectly there probably isn’t a daily set of metrics in 
>> the Guideline since the simulation programs aren’t 
>> usually outputting daily results, but there’s no reason 
>> there couldn’t be one statistically.
>>
>> You could make one if you had only daily utility data and 
>> had to aggregate the simulation results to daily totals, 
>> there isn’t a published target metric but you could still 
>> show that you calculated one and why you think it was a 
>> good or bad result.
>>
>> DSE Mobile
>>
>>
>>
>>     On Mar 14, 2023, at 6:10 AM, Jim Dirkes via Bldg-sim
>>     <bldg-sim at lists.onebuilding.org> wrote:
>>
>>     
>>
>>     Dear Chris,
>>
>>     Kudos for appreciating a gap in your understanding.
>>     (I'm in your camp)
>>
>>     On the other hand, there are SO many variables in
>>     building operation that, short of a highly
>>     instrumented (and carefully calibrated) building for
>>     everything from lights to people to plug loads to
>>     HVAC - calibration is a fiction (and I'm confident
>>     that no such building exists). Daily calibration is a
>>     complete fiction, perhaps even a deception. On top of
>>     that, a "calibrated" model is just a moment in time;
>>     everything going forward is guaranteed to be
>>     different than during the calibration time period.
>>
>>     I think of "calibration" as more like a sensitivity
>>     analysis - determine which variables matter more and
>>     which matter less. GenOpt works nicely for that
>>     purpose https://github.com/lbl-srg/GenOpt
>>     <https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Flbl-srg%2FGenOpt&data=05%7C01%7C%7C0d63c1ff284443bc766608db247cc033%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C638143890442545264%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=hMX7ISkjm6aByq3ZaUXf5p2QKTf3nlOBYbgP7ALodWQ%3D&reserved=0>
>>
>>     Jim Dirkes  1631 Acacia Drive NW Grand Rapids, MI
>>     49504 -  616 450 8653
>>
>>     *Coffee Conversation:*
>>
>>     The "individual" is an impossible concept, conceived
>>     by the Enlightenment philosophers. It makes no sense
>>     to the Christian. In marriages, and families, in
>>     associations and friendships and religious orders, we
>>     are not individuals, but a communion of persons.
>>
>>     ------- Original Message -------
>>     On Tuesday, March 14th, 2023 at 6:52 AM, Chris Yates
>>     via Bldg-sim <bldg-sim at lists.onebuilding.org> wrote:
>>
>>
>>         Hi All
>>
>>         I do find ASHRAE Guideline 14 a little too
>>         hardcore for my basic understanding of
>>         statistics. I can plug any of the equations into
>>         Excel, but I’ve realised my statistics
>>         understanding is very limited! (I’m outed!)
>>
>>         We don’t actually have to work to G14 in the UK
>>         (probably good because my copy is a bit old). I
>>         finally realised I didn’t know enough after I’d
>>         been (lazily) using R2 in Excel on some monthly
>>         data. I thought that R2 > 0.9 was generally ok…
>>         yeah, it wasn’t.
>>
>>         So, are there any easy to understand resources
>>         available?
>>
>>         I’ve been messing around with the IMT as well.
>>         It’s been fun going back to DOS 😊. This got me
>>         into daily methods, which leads to my next
>>         question. Is there any reason why there isn’t a
>>         daily calibration option specified in G14?
>>
>>         Many thanks!
>>
>>         Chris Yates
>>
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>
>
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-- 
Jason Glazer, P.E., BEMP, GARD Analytics, 90.1 ECB chair
Admin for onebuilding.org building performance mailing lists
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