SUBCHAPTER19. SC 19 Study Where do numbers come from? Re-evaluate the basis of the numbers How would you come up with the numbers today?

Slides:



Advertisements
Similar presentations
TWO STEP EQUATIONS 1. SOLVE FOR X 2. DO THE ADDITION STEP FIRST
Advertisements

Types of Number.
Todays Language Objective: Der Film beginnt um _____ Todays Theme: Asking and giving the time ©MFL Sunderland 2007 ELA
Copyright © 2003 Pearson Education, Inc. Slide 1 Computer Systems Organization & Architecture Chapters 8-12 John D. Carpinelli.
Properties Use, share, or modify this drill on mathematic properties. There is too much material for a single class, so you’ll have to select for your.
David Burdett May 11, 2004 Package Binding for WS CDL.
1 RA I Sub-Regional Training Seminar on CLIMAT&CLIMAT TEMP Reporting Casablanca, Morocco, 20 – 22 December 2005 Status of observing programmes in RA I.
Properties of Real Numbers CommutativeAssociativeDistributive Identity + × Inverse + ×
Create an Application Title 1Y - Youth Chapter 5.
Create an Application Title 1D - Dislocated Worker Chapter 9.
Create an Application Title 1A - Adult Chapter 3.
Add Governors Discretionary (1G) Grants Chapter 6.
State Implementation Plan (SIP) Development Process Presentation to: Centralina Nonattainment Area Elected Officials and City and County Managers and Planners.
CALENDAR.
SUBCHAPTER 19 APPENDICES C AND G. SC 19 Study Where do the numbers come from?Where do the numbers come from? Re-evaluate the basis of the numbers.Re-evaluate.
2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt ShapesPatterns Counting Number.
SUBTRACTING INTEGERS 1. CHANGE THE SUBTRACTION SIGN TO ADDITION
Addition Facts
Plan My Care Brokerage Training Working in partnership with Improvement and Efficiency South East.
Welcome Youth Conference – Monday 19 th March 2007.
1 Making Changes to Existing Name and Work/Expression Authority Records Module 7. Making Changes to Existing Name and Work/Expression Authority Records.
Media-Monitoring Final Report April - May 2010 News.
Welcome. © 2008 ADP, Inc. 2 Overview A Look at the Web Site Question and Answer Session Agenda.
Break Time Remaining 10:00.
Results and Statistics on Questionnaire for Foreign Staff Members Human Resources Services Santiago Osorio Alzate September
Human Capital Investment Programme Disability Activation Project (DACT) WELCOME Support Workshop Thursday 7 th February
PP Test Review Sections 6-1 to 6-6
Clean Air Interstate Rule (CAIR) CAIR Requirements for SIPs Office of Air and Radiation March 2005.
1 The Credible Evidence Rule and Compliance Certifications Peter Westlin OAQPS, EMAD.
Progam.-(6)* Write a program to Display series of Leaner, Even and odd using by LOOP command and Direct Offset address. Design by : sir Masood.
Factors, Prime Numbers & Composite Numbers
Copyright © 2012, Elsevier Inc. All rights Reserved. 1 Chapter 7 Modeling Structure with Blocks.
Basel-ICU-Journal Challenge18/20/ Basel-ICU-Journal Challenge8/20/2014.
Biology 2 Plant Kingdom Identification Test Review.
1..
CONTROL VISION Set-up. Step 1 Step 2 Step 3 Step 5 Step 4.
Adding Up In Chunks.
FAFSA on the Web Preview Presentation December 2013.
MaK_Full ahead loaded 1 Alarm Page Directory (F11)
1 10 pt 15 pt 20 pt 25 pt 5 pt 10 pt 15 pt 20 pt 25 pt 5 pt 10 pt 15 pt 20 pt 25 pt 5 pt 10 pt 15 pt 20 pt 25 pt 5 pt 10 pt 15 pt 20 pt 25 pt 5 pt Synthetic.
Do Now 1/31/11 Take out HW from Tuesday night.
Presented to: Minnesota Chamber of Commerce October 1, 2012.
A tool to protect Minnesota's waters Minnesota Pollution Control Agency, Sept. 10, 2012.
Artificial Intelligence
7/16/08 1 New Mexico’s Indicator-based Information System for Public Health Data (NM-IBIS) Community Health Assessment Training July 16, 2008.
Addition 1’s to 20.
Model and Relationships 6 M 1 M M M M M M M M M M M M M M M M
The Cosine Rule A B C a b c. The Cosine Rule A B C a b c.
Week 1.
Numerical Analysis 1 EE, NCKU Tien-Hao Chang (Darby Chang)
Clock will move after 1 minute
PSSA Preparation.
Copyright Tim Morris/St Stephen's School
1 Dr. Scott Schaefer Least Squares Curves, Rational Representations, Splines and Continuity.
Kimberton, PA | Columbus, GA | Strategic Air Planning: Where Do We Grow From Here? Colin McCall |
Direct PM 2.5 Emissions Data, Testing, and Monitoring Issues Ron Myers Measurement Policy Group SPPD, OAQPS.
Air Quality Policy Division D P A Q PM 2.5 Final NSR Implementation Rule Nat’l Tribal Air Assoc. July 16, 2008.
Sound solutions delivered uncommonly well Understanding the Permitting Impacts of the Proposed Ozone NAAQS Pine Mountain, GA ♦ August 20, 2015 Courtney.
Clean Air Act and New Source Review Permits EPA Office of Air Quality Planning and Standards Research Triangle Park NC March
Final Clean Air Fine Particle Implementation Rule Briefing for NTAA EPA Office of Air Quality Planning and Standards April 17, 2007.
Best Available Control Technology/Lowest Achievable Emission Rate Evaluation Sarah Fuchs Air Permits Division Texas Commission on Environmental Quality.
July 21, Today’s Proposed Action Approve ozone SIP revisions for South Coast and San Joaquin Valley Reasonable Further Progress Transportation.
The West is different August 14, 2013 OAQPS. Aerosols causing Worst Visibility Days – East vs. West 2.
Final Rulemaking Nonattainment Source Review 25 Pa. Code, Chapter 121
WESTAR Increment Recommendations
Draft Modeling Protocol for PM2.5
PM2.5 NSR and Designations
Implementation of New Source Review Changes
Data from Mobility Survey
Presentation transcript:

SUBCHAPTER19

SC 19 Study Where do numbers come from? Re-evaluate the basis of the numbers How would you come up with the numbers today?

Todays Presentation How would you come up with the numbers today? How would you come up with the numbers today? Summary of study Summary of study Recommendations Recommendations

How would you come up with the numbers today? Appendix C Appendix C –Use most stringent rule from EPA R6 and CenSARA states Kansas, Missouri, and New Mexico – same as Oklahoma Kansas, Missouri, and New Mexico – same as Oklahoma –Use existing information gathered from recent stack tests Reduce current algorithm by 37.5% Reduce current algorithm by 37.5%

How would you come up with the numbers today? Appendix G Appendix G - Adopt the most commonly used standard of nearby, similar states Okla., LA, Kan., Missouri, Iowa, Neb.

How would you come up with the numbers today? Appendix G Appendix G Use most stringent algorithm in EPA R6 and CenSARA states – Existing units use current Oklahoma algorithm E = 4.10P 0.67 P 30 TPH E = 4.10P 0.67 P 30 TPH E = 55P 0.11 – 40 P > 30 TPH E = 55P 0.11 – 40 P > 30 TPH – New units use : E = 3.59P 0.62 (E = 4.10P 0.67 ) P 30 TPH E = 3.59P 0.62 (E = 4.10P 0.67 ) P 30 TPH E = 17.31P 0.16 (E = 55P 0.11 – 40) P > 30 TPH E = 17.31P 0.16 (E = 55P 0.11 – 40) P > 30 TPH

Summary Does present rule include condensables and should it? Does present rule include condensables and should it? –Historical research determines – yes –All EPA R6 and CenSARA states rules include condensables –EPA approved original SIP on the basis of full train –NSR calculations for permitting and emission inventory require total PM –If algorithms were created today, they would be full train

Recommendation Options Relax the rule Relax the rule Must justify relaxation to EPA and the public Existing units meet the current rule 2007 PM 2.5 monitoring results show potential problem Recent modeling results for NSR indicate potential PM increment problem in Oklahoma

Recommendation Options Adopt a more stringent rule Adopt a more stringent rule –Appendix C Okla. has the most stringent rule in EPA R6 and CenSARA Okla. has the most stringent rule in EPA R6 and CenSARA Stack tests results could justify a 37.5% reduction in allowables Stack tests results could justify a 37.5% reduction in allowables –Appendix G Okla. has the most commonly used algorithm Okla. has the most commonly used algorithm Okla. could adopt more stringent rule for new units (Minnesota Rule) Okla. could adopt more stringent rule for new units (Minnesota Rule) PM 2.5 data suggest future potential problems PM 2.5 data suggest future potential problems

Recommendation Options Do not change the rule Do not change the rule –Okla. has the most stringent rule in EPA R6 and CenSARA for indirect fired units –Okla. has most common algorithm in R6 and CenSARA for direct fired units –Vast majority of existing units comply with current rule –Future units will be more likely to meet SC 19 than existing units

Recommendation Clarify that existing SC 19 algorithms include full train PM Clarify that existing SC 19 algorithms include full train PM Do not change existing rule until and unless future data identifies a PM problem that can be addressed by altering SC 19. Do not change existing rule until and unless future data identifies a PM problem that can be addressed by altering SC 19.