I do not agree. However I can not disagree with such logic.  I hve done some 
demand reduction, and I am doing some more.  I did not say it was easy.  In 
fact it is hard, it is expensive, and in my area the energy saving for solar 
for anyone on the general service rate (demand billing) is a fool to invest on 
a ROI basis.  HOwever if the demand can be reduced in my area it is more 
valuable than the saving from energy reduction.  My present customer has a load 
factor of 10% I am studing this load profile on a fifteen minute recorder.  I 
hope to in about 2 weeks have enough data to make my predition as to energy 
saving from the solar with demand reduction   
As a note, I do not need to see the future, but the use structure has to be 
known, so as matt says the unlikley day does not show up and ruenin the 
month.  Indeed not all buildings can be demand reduced.   It is possible the 
"electricity use profiles" in your location is different from Minnesota, .
Darryl
--- On Fri, 3/19/10, Matt Lafferty <[email protected]> wrote:


From: Matt Lafferty <[email protected]>
Subject: Re: [RE-wrenches] Demand Charge Reduction by PV
To: "'RE-wrenches'" <[email protected]>
Date: Friday, March 19, 2010, 2:26 PM



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Wrenches,
 

I agree with Joel.
 
This is my policy on the matter: Consider any Demand Charge reductions to be 
bonuses in favor of the customer. I think it is OK to say that there MAY be 
some savings, but DO NOT try to guarantee or insinuate that there WILL be any 
Demand related savings. 
 
Here's why: UNLESS you have multi-year interval data for the site... AND the 
ability to accurately interpret it.... AND the facility has a favorable 
tariff... AND a site with a very predictable load (think in terms of being able 
to predict the 15-minute interval which will set the Demand Charge within +/- 1 
hour)... AND the 15-minute period which would otherwise set the Demand Charge 
coincides with a period when the PV system is operating at a predictable 
output.... AND your overlay of predicted generation on top of predicted load 
indicates a FANTASTIC Demand reduction... AND your proposed system has multiple 
inverters (the more the merrier here)... AND the weather is reliably 
predictable around the 1-hour period you predict the "new" Peak Demand to 
occur... Don't bother having the conversation or spending otherwise productive 
time analyzing the matter... 
 
If all the the ANDs above are true and you really want to go thru the exercise, 
for whatever reasons you may have, be sure to consider the following: In order 
to "prove" whether or not there was an effect on the Demand Charges due to the 
PV system after the fact, you will need to have interval data for both the 
generation and the facility. You will need to be able to evaluate whether or 
not the customer's load profile, independent of the PV, changed from the 
predicted values and, if it did, what the reasons for that were. For example, 
if they increase or decrease their loads independent of the PV, the net change 
is due to the customer's actions and the PV. Once you have determined these 
factors, then you can begin to calculate the effective "value" of the PV was on 
a Demand Charge basis.
 
It is possible and, in fact, likely that the PV will have some positive effect 
on the Demand Charges for a given facility. It is, however, very difficult to 
predict what that will be unless all of the ANDs noted above are true. One of 
the keys driving the final calculation is the ratio of the PV system's power 
rating to the customer's load coincident to the 15-minute interval when the 
Demand Charges are set. The larger the system is, compared to the facility 
load, the more likely and greater the savings will be. Embedded in this 
relationship are the seasonal and hourly load profiles of the facility, the 
reliability of the weather during this period, and how closely they line up 
with the production profile. If you are intending to "guarantee" some number of 
kW reduction, be sure you have multiple inverters on the project. The more 
inverters you have, the more confidence you can have in your predictions. 
 
Over the years, I've spent plenty of brain-damaging hours (weeks & 
weeks) working on this. For utility companies, large integrators, and small 
integrators. Before and after installation. With and without complex load and 
generation profile data. On facilities with loads of all magnitudes and 
hourly/seasonal profiles. The end result is the same... The effective Demand 
Charge savings due strictly to the PV is relatively small and terribly 
difficult to predict from year to year. I've had to analyze and report on "why" 
the mucky-muck MBA & Engineers' predictions were so far off from the actual 
experience after the projects went in. In the minds of these folks, it seems 
like a no-brainer and just another column in their spreadsheets during the 
sales cycle. It's a lot more complicated than that. I know of several 
institutional customers who bought into paying the integrator for these Demand 
savings on projects and have walked away from doing it on
 future projects. The ones who have bought into paying for projected future 
Demand reductions in the up-front cost of the project have regretted it. The 
ones who have agreed to pay for it as a line-item on a PPA bill, aren't doing 
it in the future. It's simply too much brain-damage. Too complex. If they are 
going to have to pay somebody for it, it's a lot easier to pay the utility 
company.
 
I've had to analyze and report on cases where the facility Demand Charges have 
increased after installation of PV systems. After you isolate the load and 
generation factors, and demonstrate that the customer's load profile has 
changed from the historical (generally larger loads later in the day when the 
PV can't help as much), you can do the dance of trying to show them that they 
avoided something and trying to quantify exactly what that is/was. A lot of 
Demand tariffs actually punish lower kWh consumption, so you have to factor 
that negative impact into the value analysis. A LOT of time goes into this when 
you consider all the communication, data gathering, analyisis, presentation, 
and negotiation. Remember, it only takes one 15-minute period that occurs 
outside of your effective generation curve to blow the whole theoretical thing 
up.
 
IF you are set on going thru the exercise with the intent of 
predicting/promising something, you need a facility with a very stable load 
profile that occurs during peak PV periods, stable utility voltage, a tariff 
that doesn't punish lower consumption, reliably predictable & favorable weather 
coincident with facility peak demand, a large PV to Load ratio (>50%), and 
multiple inverters. The combination of requisite weather, PV:Load ratio, and 
favorable tariff pretty much makes the number of facilites, which you can model 
accurately, very small.
 
I recommend going to the beach or mountains instead.
 
$0.02001
Solar Janitor



From: Joel Davidson
Sent: Thursday, March 18, 2010 7:47 PM
To: RE-wrenches
Subject: Re: [RE-wrenches] Demand Charge Reduction by PV



Hello Peter,
 
I have seen 40% to 70% monthly demand charge reduction for some southern 
California PV projects for some months, but it is still a crap shoot. 15 
minutes and 1 second of clouds during the peak demand period will trump 
a client's energy management efforts unless they are willing and able to shed 
loads during cloudy periods. I tell clients that they cannot rely on the 
weather to cooperate, to monitor and control their demand, and to think of any 
PV savings on their monthly demand charge as a windfall.
 
Joel Davidson
 
----- Original Message ----- 

From: Peter Parrish 
To: 'RE-wrenches' 
Sent: Thursday, March 18, 2010 9:38 AM
Subject: [RE-wrenches] Demand Charge Reduction by PV



I failed to clean up the subject line on this post a few minutes ago. Please 
respond to this post so that we can keep track of the topic properly.
 
Esteemed wrenches,
 
I have been wrestling with this concept about as long as we have been in 
business. How to estimate how much a pv system will reduce the demand charge 
for a customer.
 
I know the “worst case” goes as follows: 
 
(1)     Demand is based on measuring the consumption every 15 minutes and 
keeping track of those numbers for the entire billing period.
(2)     The customer gets socked with a demand charge that is based on the 
highest 15 minute consumption for the entire billing period.
(3)     The customer also gets soaked with a “facilities charge” that is equal 
to the greatest monthly demand number for the trailing 12 months.
(4)     Now you have a solar system pumping out Wac varying over the familiar 
bell-shaped curve during the day.
(5)     In the southwest US, peak demand typically occurs early in the 
afternoon in the summer, during the week. Our LADWP has a mantra that goes 
something like this, “Peak demand occurs at 3pm PDT on the third Thursday in 
August!” I believe them.
(6)     So one would expect something like 40% of the peak Wac to offset the 
peak demand, but what happened if the sun goes behind a cloud for those 15 
minutes? Answer, “Bad luck. Your demand is back to what it was before you 
bought your solar system.
(7)     It is actually worse than that. Peak demand recurs with approximately 
with the same value with some regularity for an extended period of time, so the 
sun will have to shine with full intensity every day when peak demand is 
expected to occur, which in LA could be every day (M-F) of the 30 day billing 
period.
 
I have always taken the position that we can’t guarantee that any of the demand 
charge will be reduced with a solar system. But what do other PV integrators 
tell there customers? Better yet is there any actual data on demand reduction 
with PV systems? It seems to me that occasionally the monthly peak demand will 
in fact be shaved by PV production, the question is how often in practice?
 
I once thought of taking actual insolation data and comparing it with actual 
demand data and doing a Monte Carlo simulation (throwing the dice = randomly 
matching up demand data with solar production data) – but I haven’t retired yet.
 

I would love to hear what others are doing about this.
 
- Peter
Peter T. Parrish, Ph.D., President
California Solar Engineering, Inc.
820 Cynthia Ave. , Los Angeles , CA 90065
CA Lic. 854779, NABCEP Cert. 031806-26
[email protected]  
Ph 323-258-8883, Mobile 323-839-6108, Fax 
323-258-8885                                                                    
                               
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