SlideShare a Scribd company logo
Introducing:



               “He Knows A Lot About Coal”


Stephen R. Smith, M.S.
6848 Hampton Wood Circle
Hixson, TN 37343
Phone: (423) 280-0872
Email: srsmith@coalsmith.com
The Need
Managers of mines and power plants
face challenging issues, such as quality
control, process improvement, and
production cost.
Effectively managing these issues and the
changes they bring often requires outside
support and expertise.
Since 2004, Coalsmith has provided that
expertise, and added value to businesses.
Expert in Chemistry of coal utilization
• Coal sample system testing
• Sample preparation
• Laboratory audits
• Technician training
• Lab workspace design
• Procedure manuals
• Laboratory startup
• Quality control charts and actions
Coalsmith Services
Audits, inspections, and surveys to
identify improvement opportunities.
Customized test programs incorporating
designed experiments to quickly isolate
major variables of interest.
Benchmarking surveys to identify best
practices in your industry
Creation of clear, concise written
procedures and training manuals.
Development of training classes and on-
the-job coaching to help implement the
best procedures and practices.
Who is Coalsmith?
Coalsmith is a consulting chemical engineering practice
specializing in the chemistry of coal utilization.
Chemical engineer Stephen Smith has 30 years experience
at Tennessee Valley Authority in coal utilization and
analysis.
He knows a lot about coal.
•   ASTM coal sampling and analysis
•   Combustion optimization
•   Impact of coal quality on plant performance
•   Coal stockpile inventory
•   Laboratory Audits
Mr. Smith has a BS Chemistry and MS Engineering
Management from the University of Tennessee.
He is an active member of ASTM D5 committee and chairs
the D2013 Sample Preparation task group.
Our SoftwareTeam
• Stephen Smith, M.S.
    MS Engineering Management, BS Chemistry
    30+ years experience in coal science
    Independent coal quality consultant
    Project manager and user interface
• Paul Wolff, Ph.D.
    PhD mathematics, Georgia Tech
    20+ years experience working in electric power
    industry
      • Mathematical modeling, development of on-line
        performance monitoring systems, and automated data
        analysis software
Coalsmith Clients
Successful Projects
Laboratory design
Sample system inspection reports
Laboratory audits
Bias Test Software
Stockpile inventory investigations
Technical training in coal sampling
Specifications for online analyzers
Coal quality impacts on power plants
New Preiser Software products
Focus on filling out the catalog
 • Software products for Preiser catalog
Create Datawolff scripts for routine coal
laboratory calculations
 • Proximate and ultimate analysis reports
 • Quality control charts
 • Coal quality trends by source
Offer DataWolff software through catalog
 • Self-training manual for client to write scripts
Offer consulting service and script writing
 • Quick programming service for custom jobs
DataWolff
DataWolff™ is a general purpose data analysis
program for streamlining Excel-based data
analyses.
The program functions as follows:
User enters test data in a text file, or establishes
a connection to a coal analysis data base.
User starts the program and is prompted for
which test to run, which parameters to analyze,
and which data file to analyze.
The software then runs automatically and creates
an Excel Workbook that contains a detailed test
report workbook which contains calculations,
tables of numbers, and plots.
DataWolff Overview
                              ASTM D6518 Analysis Script

     Lab data as .csv file


ASTM D6518 Calc. Library
and DataWolff General Calc.
                                  DataWolff ™
Library Library                   Run Module

DataWolff Chart Library

                                Excel Workbooks with
                                Data, Calculations, and
                                Charts
The calculations performed in each of these analyses
closely follow and are described in the ASTM test
procedure ASTM D 6518 – Standard Practice for Bias
Testing a Mechanical Coal Sampling System.
Review of DataWolff Bias Test Software
by C. H. Proctor
“I have run the software on examples provided. Even
for a novice with Excel like myself, the code works
easily. We first ran the ash-Btu example from Table
A2.12 of D6518 and I must say the graphics are a joy to
behold. The software is an undoubted success. It was
designed to allow practioners to run Hotelling’s T2.
Mr. Hotelling would be proud.”
                                                      Test vs LTB Ellipse

                                                              150.00

                                                              100.00

                                                               50.00
                              HHV



                                                                0.00
                                    -1.50     -1.00   -0.50         0.00   0.50   1.00   1.50
                                                              -50.00

                                                          -100.00

                                                          -150.00
                                    HHV
                                                                  Ash
                                    HHV:LTB
Next Steps
Tour Preiser facilities and warehouse
Discuss business relationship and
possible new software
• Conduct customer survey of needs
• Address the needs with DataWolff
• Run prototype program
Find ways to enhance Presier catalog
with new software products
Questions?

Thanks for your interest and support!

More Related Content

Similar to Introducing Coalsmith 20091214 Rev 1

Get Testing with tSQLt - SQL In The City Workshop 2014
Get Testing with tSQLt - SQL In The City Workshop 2014Get Testing with tSQLt - SQL In The City Workshop 2014
Get Testing with tSQLt - SQL In The City Workshop 2014
Red Gate Software
 
“Machine Learning in Production + Case Studies” by Dmitrijs Lvovs from Epista...
“Machine Learning in Production + Case Studies” by Dmitrijs Lvovs from Epista...“Machine Learning in Production + Case Studies” by Dmitrijs Lvovs from Epista...
“Machine Learning in Production + Case Studies” by Dmitrijs Lvovs from Epista...
DevClub_lv
 
Requirements Engineering: A Practicum
Requirements Engineering: A PracticumRequirements Engineering: A Practicum
Requirements Engineering: A Practicum
TechWell
 
Small is Beautiful- Fully Automate your Test Case Design
Small is Beautiful- Fully Automate your Test Case DesignSmall is Beautiful- Fully Automate your Test Case Design
Small is Beautiful- Fully Automate your Test Case Design
Georgina Tilby
 
Use Case: Airbus and Process Mining Technology
Use Case: Airbus and Process Mining TechnologyUse Case: Airbus and Process Mining Technology
Use Case: Airbus and Process Mining Technology
Celonis
 
Download-manuals-water quality-wq-training-50inter-laboratoryaqcexercise
 Download-manuals-water quality-wq-training-50inter-laboratoryaqcexercise Download-manuals-water quality-wq-training-50inter-laboratoryaqcexercise
Download-manuals-water quality-wq-training-50inter-laboratoryaqcexercisehydrologyproject0
 
Continuous Delivery & Testing Madrid AfterTest
Continuous Delivery & Testing Madrid AfterTestContinuous Delivery & Testing Madrid AfterTest
Continuous Delivery & Testing Madrid AfterTest
Peter Marshall
 
Aditya Bhattacharya - Enterprise DL - Accelerating Deep Learning Solutions to...
Aditya Bhattacharya - Enterprise DL - Accelerating Deep Learning Solutions to...Aditya Bhattacharya - Enterprise DL - Accelerating Deep Learning Solutions to...
Aditya Bhattacharya - Enterprise DL - Accelerating Deep Learning Solutions to...
Aditya Bhattacharya
 
Quality dashboard-may-2015
Quality dashboard-may-2015Quality dashboard-may-2015
Quality dashboard-may-2015
TAUS - The Language Data Network
 
jermaine_brown resume 2016 updated
jermaine_brown resume 2016 updatedjermaine_brown resume 2016 updated
jermaine_brown resume 2016 updatedJermaine Brown
 
Leveraging HPE ALM & QuerySurge to test HPE Vertica
Leveraging HPE ALM & QuerySurge to test HPE VerticaLeveraging HPE ALM & QuerySurge to test HPE Vertica
Leveraging HPE ALM & QuerySurge to test HPE Vertica
RTTS
 
Requirements Engineering: A Practicum
Requirements Engineering: A PracticumRequirements Engineering: A Practicum
Requirements Engineering: A Practicum
TechWell
 
Embracing service-level-objectives of your microservices in your Cl/CD
Embracing service-level-objectives of your microservices in your Cl/CDEmbracing service-level-objectives of your microservices in your Cl/CD
Embracing service-level-objectives of your microservices in your Cl/CD
Nebulaworks
 
My experience in Software QA
My experience in Software QAMy experience in Software QA
My experience in Software QALeonid Mazur
 
Continuous Performance Testing: The New Standard
Continuous Performance Testing: The New StandardContinuous Performance Testing: The New Standard
Continuous Performance Testing: The New Standard
TechWell
 
ott_calfee_resume
ott_calfee_resumeott_calfee_resume
ott_calfee_resumeOtt Calfee
 
Continuous Improvement Powerpoint Presentation Slides
Continuous Improvement Powerpoint Presentation SlidesContinuous Improvement Powerpoint Presentation Slides
Continuous Improvement Powerpoint Presentation Slides
SlideTeam
 
Quantifying DevOps Adoption Empirically for Demonstrable ROI
Quantifying DevOps Adoption Empirically for Demonstrable ROIQuantifying DevOps Adoption Empirically for Demonstrable ROI
Quantifying DevOps Adoption Empirically for Demonstrable ROI
DevOps for Enterprise Systems
 

Similar to Introducing Coalsmith 20091214 Rev 1 (20)

Get Testing with tSQLt - SQL In The City Workshop 2014
Get Testing with tSQLt - SQL In The City Workshop 2014Get Testing with tSQLt - SQL In The City Workshop 2014
Get Testing with tSQLt - SQL In The City Workshop 2014
 
“Machine Learning in Production + Case Studies” by Dmitrijs Lvovs from Epista...
“Machine Learning in Production + Case Studies” by Dmitrijs Lvovs from Epista...“Machine Learning in Production + Case Studies” by Dmitrijs Lvovs from Epista...
“Machine Learning in Production + Case Studies” by Dmitrijs Lvovs from Epista...
 
Requirements Engineering: A Practicum
Requirements Engineering: A PracticumRequirements Engineering: A Practicum
Requirements Engineering: A Practicum
 
Small is Beautiful- Fully Automate your Test Case Design
Small is Beautiful- Fully Automate your Test Case DesignSmall is Beautiful- Fully Automate your Test Case Design
Small is Beautiful- Fully Automate your Test Case Design
 
Use Case: Airbus and Process Mining Technology
Use Case: Airbus and Process Mining TechnologyUse Case: Airbus and Process Mining Technology
Use Case: Airbus and Process Mining Technology
 
Download-manuals-water quality-wq-training-50inter-laboratoryaqcexercise
 Download-manuals-water quality-wq-training-50inter-laboratoryaqcexercise Download-manuals-water quality-wq-training-50inter-laboratoryaqcexercise
Download-manuals-water quality-wq-training-50inter-laboratoryaqcexercise
 
LMS TESTING SERVICES
LMS TESTING SERVICESLMS TESTING SERVICES
LMS TESTING SERVICES
 
Continuous Delivery & Testing Madrid AfterTest
Continuous Delivery & Testing Madrid AfterTestContinuous Delivery & Testing Madrid AfterTest
Continuous Delivery & Testing Madrid AfterTest
 
Aditya Bhattacharya - Enterprise DL - Accelerating Deep Learning Solutions to...
Aditya Bhattacharya - Enterprise DL - Accelerating Deep Learning Solutions to...Aditya Bhattacharya - Enterprise DL - Accelerating Deep Learning Solutions to...
Aditya Bhattacharya - Enterprise DL - Accelerating Deep Learning Solutions to...
 
Quality dashboard-may-2015
Quality dashboard-may-2015Quality dashboard-may-2015
Quality dashboard-may-2015
 
jermaine_brown resume 2016 updated
jermaine_brown resume 2016 updatedjermaine_brown resume 2016 updated
jermaine_brown resume 2016 updated
 
Using Reliability methods
Using Reliability methodsUsing Reliability methods
Using Reliability methods
 
Leveraging HPE ALM & QuerySurge to test HPE Vertica
Leveraging HPE ALM & QuerySurge to test HPE VerticaLeveraging HPE ALM & QuerySurge to test HPE Vertica
Leveraging HPE ALM & QuerySurge to test HPE Vertica
 
Requirements Engineering: A Practicum
Requirements Engineering: A PracticumRequirements Engineering: A Practicum
Requirements Engineering: A Practicum
 
Embracing service-level-objectives of your microservices in your Cl/CD
Embracing service-level-objectives of your microservices in your Cl/CDEmbracing service-level-objectives of your microservices in your Cl/CD
Embracing service-level-objectives of your microservices in your Cl/CD
 
My experience in Software QA
My experience in Software QAMy experience in Software QA
My experience in Software QA
 
Continuous Performance Testing: The New Standard
Continuous Performance Testing: The New StandardContinuous Performance Testing: The New Standard
Continuous Performance Testing: The New Standard
 
ott_calfee_resume
ott_calfee_resumeott_calfee_resume
ott_calfee_resume
 
Continuous Improvement Powerpoint Presentation Slides
Continuous Improvement Powerpoint Presentation SlidesContinuous Improvement Powerpoint Presentation Slides
Continuous Improvement Powerpoint Presentation Slides
 
Quantifying DevOps Adoption Empirically for Demonstrable ROI
Quantifying DevOps Adoption Empirically for Demonstrable ROIQuantifying DevOps Adoption Empirically for Demonstrable ROI
Quantifying DevOps Adoption Empirically for Demonstrable ROI
 

Introducing Coalsmith 20091214 Rev 1

  • 1. Introducing: “He Knows A Lot About Coal” Stephen R. Smith, M.S. 6848 Hampton Wood Circle Hixson, TN 37343 Phone: (423) 280-0872 Email: srsmith@coalsmith.com
  • 2. The Need Managers of mines and power plants face challenging issues, such as quality control, process improvement, and production cost. Effectively managing these issues and the changes they bring often requires outside support and expertise. Since 2004, Coalsmith has provided that expertise, and added value to businesses.
  • 3. Expert in Chemistry of coal utilization • Coal sample system testing • Sample preparation • Laboratory audits • Technician training • Lab workspace design • Procedure manuals • Laboratory startup • Quality control charts and actions
  • 4. Coalsmith Services Audits, inspections, and surveys to identify improvement opportunities. Customized test programs incorporating designed experiments to quickly isolate major variables of interest. Benchmarking surveys to identify best practices in your industry Creation of clear, concise written procedures and training manuals. Development of training classes and on- the-job coaching to help implement the best procedures and practices.
  • 5. Who is Coalsmith? Coalsmith is a consulting chemical engineering practice specializing in the chemistry of coal utilization. Chemical engineer Stephen Smith has 30 years experience at Tennessee Valley Authority in coal utilization and analysis. He knows a lot about coal. • ASTM coal sampling and analysis • Combustion optimization • Impact of coal quality on plant performance • Coal stockpile inventory • Laboratory Audits Mr. Smith has a BS Chemistry and MS Engineering Management from the University of Tennessee. He is an active member of ASTM D5 committee and chairs the D2013 Sample Preparation task group.
  • 6. Our SoftwareTeam • Stephen Smith, M.S. MS Engineering Management, BS Chemistry 30+ years experience in coal science Independent coal quality consultant Project manager and user interface • Paul Wolff, Ph.D. PhD mathematics, Georgia Tech 20+ years experience working in electric power industry • Mathematical modeling, development of on-line performance monitoring systems, and automated data analysis software
  • 8. Successful Projects Laboratory design Sample system inspection reports Laboratory audits Bias Test Software Stockpile inventory investigations Technical training in coal sampling Specifications for online analyzers Coal quality impacts on power plants
  • 9. New Preiser Software products Focus on filling out the catalog • Software products for Preiser catalog Create Datawolff scripts for routine coal laboratory calculations • Proximate and ultimate analysis reports • Quality control charts • Coal quality trends by source Offer DataWolff software through catalog • Self-training manual for client to write scripts Offer consulting service and script writing • Quick programming service for custom jobs
  • 10. DataWolff DataWolff™ is a general purpose data analysis program for streamlining Excel-based data analyses. The program functions as follows: User enters test data in a text file, or establishes a connection to a coal analysis data base. User starts the program and is prompted for which test to run, which parameters to analyze, and which data file to analyze. The software then runs automatically and creates an Excel Workbook that contains a detailed test report workbook which contains calculations, tables of numbers, and plots.
  • 11. DataWolff Overview ASTM D6518 Analysis Script Lab data as .csv file ASTM D6518 Calc. Library and DataWolff General Calc. DataWolff ™ Library Library Run Module DataWolff Chart Library Excel Workbooks with Data, Calculations, and Charts
  • 12.
  • 13. The calculations performed in each of these analyses closely follow and are described in the ASTM test procedure ASTM D 6518 – Standard Practice for Bias Testing a Mechanical Coal Sampling System.
  • 14.
  • 15. Review of DataWolff Bias Test Software by C. H. Proctor “I have run the software on examples provided. Even for a novice with Excel like myself, the code works easily. We first ran the ash-Btu example from Table A2.12 of D6518 and I must say the graphics are a joy to behold. The software is an undoubted success. It was designed to allow practioners to run Hotelling’s T2. Mr. Hotelling would be proud.” Test vs LTB Ellipse 150.00 100.00 50.00 HHV 0.00 -1.50 -1.00 -0.50 0.00 0.50 1.00 1.50 -50.00 -100.00 -150.00 HHV Ash HHV:LTB
  • 16. Next Steps Tour Preiser facilities and warehouse Discuss business relationship and possible new software • Conduct customer survey of needs • Address the needs with DataWolff • Run prototype program Find ways to enhance Presier catalog with new software products
  • 17. Questions? Thanks for your interest and support!