From: John Summerhays/R5/USEPA/US

To: "Schmidt Cortney" <CKSchmidt@vcsmc.com>, 

Cc: "Straw Ann" <ALStraw@vcnainc.com>, "Cox Dirk" <DACox@vcsmc.com>, Daniel 

Schaufelberger/R5/USEPA/US@EPA, Douglas Aburano/R5/USEPA/US@EPA, FDindoffer@BODMANLAW.COM, 

Jane Woolums/R5/USEPA/US@EPA, John Summerhays/R5/USEPA/US@EPA, "Gower Matthew" 

<MMGower@vcsmc.com>

Date: 10/23/2012 10:02 AM

Subject: RE: Potential Meeting Times

This is to confirm 9 a.m. CDT/10 a.m. EDT on Wednesday (10/24) for a call. Dan Schaufelberger is out of 

the office, but the rest of us will be available. We can provide a conference line, but shall we rely on the 

conference line you are providing?

I envision us talking about the following topics:

- Lime injection

 

- Use of ammonia

 This is another option for using SNCR to achieve NOx reductions. Of note here is a paper co-authored 

by Joe Horton of VCNA entitled "SNCR Emission Control," published August 2006 in the journal ICR. This 

paper suggests that ammonia injection may be more effective than urea injection, and indeed ammonia 

injection is more common than urea injection in cement plant control applications.

- Statistic to represent upper point of the emissions distribution

Do we have other topics that you want to discuss?

From: "Schmidt Cortney" <CKSchmidt@vcsmc.com>

To: John Summerhays/R5/USEPA/US@EPA, 

Cc: "Straw Ann" <ALStraw@vcnainc.com>, "Cox Dirk" <DACox@vcsmc.com>, 

<FDindoffer@BODMANLAW.COM>, "Gower Matthew" <MMGower@vcsmc.com>, Daniel 

Schaufelberger/R5/USEPA/US@EPA, Douglas Aburano/R5/USEPA/US@EPA, Jane Woolums/R5/USEPA/US@EPA

Date: 10/19/2012 03:40 PM

Subject: RE: Potential Meeting Times

John

Can we look at rescheduling this phone conference for Wednesday at 9am central / 10am eastern?

cks

From: John Summerhays/R5/USEPA/US

To: "Schmidt Cortney" <CKSchmidt@vcsmc.com>, 

Cc: "Straw Ann" <ALStraw@vcnainc.com>, "Cox Dirk" <DACox@vcsmc.com>, 

FDindoffer@BODMANLAW.COM, "Gower Matthew" <MMGower@vcsmc.com>, Daniel 

Schaufelberger/R5/USEPA/US@EPA, Douglas Aburano/R5/USEPA/US@EPA, Jane Woolums/R5/USEPA/US@EPA

Date: 10/19/2012 01:53 PM

Subject: Potential Meeting Times

The primary purpose of this email is to suggest potential times for a follow-up call. According to our 

electronic calendars, available times on Monday (10/22) are 2 p.m. EDT and noon EDT. Although I recall 

from our discussion that Tuesday morning wouldn't work, it appears on our side that we would be available 

any time from 10:30 EDT to 12:30 EDT.

I have prepared additional computations of annual average emissions, which I'm attaching below. A new 

worksheet in this file computes a new annual average each new day (for a total of 732 averages) and 

computes the statistics that apply to this larger set of annual averages. Most of these averages are 

365-day averages, but the periods that include February 29, 2008 (leap day) are computed as 366-day 

averages. As you can see, the statistics from this sampling are quite similar to the statistics from the 

once-a-month sampling, giving a slightly lower mean value and a slightly narrower standard deviation. 

In this spreadsheet, I have also provided values for four points on the distribution, based on the assumption 

of a normal distribution: the point that is 1.645 standard deviations above the mean (the 95th percentile), 2 
standard deviations above the mean (the 97.7th percentile), 2.33 standard deviations above the mean (the

99th percentile), and 3 standard deviations above the mean (the 99.9th percentile). Now, heavy statistics 

alert: we seem to have differing numbers for the percentiles associated with particular points on the 

distribution. Perhaps you are working from tables of the percent of the normal distribution within X standard 

deviations of the mean, a table for example that shows that 95.46% of the normal distribution is within 2 

standard deviations of the mean. However, the relevant statistic here is the percent of the distribution 

below the given point on the distribution, which would include the entire 50% of the distribution below the 

mean plus for example the 47.73% of the distribution between the mean and 2 standard deviations above 

the mean. The spreadsheet shows the percentiles associated with each of the four numbers of standard 

deviations above the mean.

SMC-Charlevoix SMC-Charlevoix Emissions Emissions 10-15a.pd 10-15a.pdf