SlideShare a Scribd company logo
1 of 9
Download to read offline
HTW Building Stack Velocity Testing
Prepared by
Spencer Owen and Geoff Silcox
Department of Chemical Engineering
University of Utah
Prepared for
Michael D. Brehm
Environmental Health and Safety
University of Utah
June 2015
Introduction
The Office of Environmental Health and Safety (EHS) at the University of Utah inquired
whether the students in Chemical Engineering 5305, Air Pollution Control Engineering,
could help resolve an apparent inconsistency in the measured stack velocity in the High
Temperature Water Plant (HTW). The velocity measured by DMK Environmental
Engineering was higher than what would be expected based on the reported firing rate of
the turbine and boilers in the HTW. The air pollution course is offered spring semester
and in 2015 the students were asked to pick a research project related to air pollution. For
his project, one of the students, Spencer Owen, offered to work with EHS to resolve the
inconsistency noted above.
The HTW is located at 1705 E South Campus Dr. The plant burns natural gas in a simple-
cycle gas turbine and occasionally in supplemental boilers. The turbine is connected to a
generator to supply the campus with electric power and the hot exhaust gases pass
through a heat recovery unit to produce hot water for heating. The hot gases are
exhausted through a stack on the roof of the HTW.
The stack data collected by DMK were consistent except for the velocity. Through a
material balance the stack flow rate and velocity are related to the amount of natural gas
burned. The amount that DMK had calculated [1] was up to 30 million BTU’s (MBTU)
more than what the plant was reporting. DMK also measured apparent negative static
pressures at the sampling locations in the stack. This report explains these two features of
the measurements and recommends ways to improve future measurements and analysis.
Technical Approach
The velocity of the exhaust gases in the stack was measured with an S-type pitot tube
supplied by DMK. Pressure differences were measured with a magnehelic gauge that was
also supplied by DMK. The experimental procedure followed the standard EPA Method
2 [2]. Prior to making stack measurements, qualitative tests of the pitot tube and the
magnehelic gauge were performed in a small wind tunnel located in the Senior Projects
Lab in the Department of Chemical Engineering.
The velocity measurement locations in the stack were chosen based on EPA Method 1
[3]. The cylindrical stack and its dimensions are given in Figure 1 [1]. The inside
diameter was 53.5 inches and the sampling locations were 34 inches above the roof.
Method 1 specifies how to pick traverse points in measuring stack velocities. We used 16
points to traverse the stack and an additional 16 points perpendicular to those.
The flow in the stack was turbulent and the pressure differences (P) obtained with the
pitot tube and magnehelic were uncertain to 0.5 inches of water. Appendix 1 shows the
recorded values of . The average exhaust temperature, based on measurements at four
points, was 388.5 . To estimate the stack velocity and the average molar mass of the
exhaust gases the natural gas was approximated as pure methane. This simplified the
stoichiometric and heating value calculations.
Figure 1. Schematic of stack and its dimensions. The measured inside diameter was
53.5 in. [1].
The gas velocities were calculated as specified in Method 2 [2]. The average was
1.19 inches of water (in. H2O). EPA Method 2 recommends
∑ √
√ (1)
to calculate the average velocity; where is the velocity equation constant, is the
constant for S-type pitot tubes, is the average absolute temperature in the stack,
is the absolute pressure in the stack, is the pressure difference from the S-type pitot
tube at location i, n is the number of sampling points, and is the average molar mass
of the combustion gases. The latter is calculated by assuming complete combustion with
       2 2
4 2 2 2 2 2 2
2 2
1 1
2 2 2 2 2 1O O
O O
y y
CH SR O SR N H O CO SR N SR O
y y
 
       (2)
where SR is the stoichiometric ratio, and yO2 is the mol fraction of oxygen in air. Air was
assumed to be 21 mol % oxygen, balance nitrogen and the stoichiometric ratio was
assumed to be 2.0.
The stack velocity is related to molar flow rate (n ), gas density () and the cross-
sectional area of the stack (A) by
̇
(3)
The molar flow rate is related to the number of moles of methane burned through (2). The
flow rate of methane was calculated from the given firing rate (decatherms/h or MBtu/h)
of the HTW and the higher heating value (HHV) of methane. Appendix 2 contains the
values and calculations related to firing rate, molar mass, and stack velocity.
The absolute stack pressure, Ps, appears in (2). The absolute pressure is the sum of the
stack static pressure, Pg, and the barometric pressure, Pbar,
Ps = Pbar + Pg (4)
EPA Method 2, Part 6.4, suggests measuring Pg by placing one of the openings of the s-
type pitot tube parallel to the gas flow. The measured value of Pbar was 0.84 atm. The
University of Utah and DMK performed this test and measured a negative value. A
negative value is physically impossible. As an alternative, the engineering form of
Bernoulli’s equation provides an estimate of the absolute stack pressure:
(5)
where is the density of the gas and the friction heating term is given by
(6)
In (6), D is the diameter, is the change in height from the top of the stack to the plane
of measurement. The friction factor is estimated by
[ ( ) ] (7)
where is the roughness, and the Reynolds number is given by
(8)
where µ is the viscosity. Equations 5 – 8 show that the static pressure must be positive.
Numerical values are given in Appendix 3.
Results and Discussion
We made our stack measurements on April 10, 2015 and for this day the HTW staff
reported that the power was 80 MBtu/hr. This “firing rate” and Equations 2 - 8 give an
average stack velocity of 55 ft/s. The average pressure difference (P) measured in the
stack with the pitot tube, and used in (1), was 1.5 in. water. Using this for (P) in (3), the
resultant velocity is 93 ft/s, which is equivalent 130 MBtu/hr. This is quite different from
the reported firing rate.
This discrepancy prompted another visit with the staff at the HTW building to ask how
they measured power in the plant. The HTW staff calculates power by the product of the
heat capacity of water, the temperature increase of the water, and the mass flow rate of
water leaving the plant. This approach underestimates the firing rate of the turbine
because it neglects the electric power produced by the generator and the energy losses
through the hot exhaust gases leaving the stack. This explains why the stack velocities
measured by DMK and the University of Utah appear to be too high.
Conclusion and Recommendations
The power output report by the HTW is based on the properties of the hot water: the
product of its heat capacity, its temperature increase, and its mass flow rate. This
approach underestimates the firing rate of the turbine because it neglects the electric
power produced by the generator and the energy losses through the stack. If the firing rate
is calculated in this way the measured stack velocities will always appear to be too high.
Two key recommendations have resulted from this study: (1) future calculations of the
stack velocity should be based on the firing rate of natural gas and (2) when using s-type
pitot tubes the stack static pressure, Pg, should be compared to that calculated from
Equations 4 – 8. Negative stack static pressures are impossible and are probably an
artifact of the s-type pitot tube.
In addition, the accuracy of future University of Utah measurements can be improved by
(1) using a digital manometer to obtain averaged values of P, (2) closing the opening
around the probe to prevent the escape of the hot gases, and (3) using a support to hold
the probe and magnehelic when making traverses.
Acknowledgements
The authors gratefully acknowledge the assistance of David Kopta, President of DMK
Environmental Engineering, Inc., for supplying the equipment used in this study and for
explaining how to use it. Michael Brehm, Environmental Protection Section Leader at the
University of Utah gave generously of his time in helping to make the stack
measurements. Finally, Terry Walters, supervisor at the High Temperature Water Plant,
made us welcome in his facility and provided us with the tools and information that made
this project possible.
References
[1] Kopta, David, “U of U Central Heat Plant Gas Turbine,” January 2015
[2] “Method 2 – Determination of Stack Gas Velocity and Volumetric Flow Rate (S-Type
Pitot Tube),” Internet Posting at http://www.epa.gov/ttn/emc/promgate/m-02.pdf,
Updated December 5, 2014, Environmental Protection Agency.
[3] “Method 1 – Sample and Velocity Traverses For Stationary Sources,” Internet Posting
at http://www.epa.gov/ttn/emc/promgate/m-01.pdf, Last Updated December 5, 2014,
Environmental Protection Agency.
Appendix 1 Stack Measurement and Velocities
Appendix 2. Stoichiometry
Appendix 3 Static Pressure Calculations

More Related Content

What's hot

Life Cycle Assessment
Life Cycle Assessment Life Cycle Assessment
Life Cycle Assessment Ali Abass
 
Evaluating mathematical heat transfer effectiveness equations using cfd techn...
Evaluating mathematical heat transfer effectiveness equations using cfd techn...Evaluating mathematical heat transfer effectiveness equations using cfd techn...
Evaluating mathematical heat transfer effectiveness equations using cfd techn...aeijjournal
 
Heating Value Estimation for Natural Gas Applications
Heating Value Estimation for Natural Gas ApplicationsHeating Value Estimation for Natural Gas Applications
Heating Value Estimation for Natural Gas ApplicationsVijay Sarathy
 
PASSIVE LIQUID WATER RECOVERY FROM FUEL CELL EXHAUST
PASSIVE LIQUID WATER RECOVERY FROM FUEL CELL EXHAUSTPASSIVE LIQUID WATER RECOVERY FROM FUEL CELL EXHAUST
PASSIVE LIQUID WATER RECOVERY FROM FUEL CELL EXHAUSTpaperpublications3
 
The understanding of gas geochemical model to reduce the exploration uncertainty
The understanding of gas geochemical model to reduce the exploration uncertaintyThe understanding of gas geochemical model to reduce the exploration uncertainty
The understanding of gas geochemical model to reduce the exploration uncertaintyRizal Abiyudo
 
IRJET- Experimental Investigation of Pipe in Pipe Tube Heat Exchanger using S...
IRJET- Experimental Investigation of Pipe in Pipe Tube Heat Exchanger using S...IRJET- Experimental Investigation of Pipe in Pipe Tube Heat Exchanger using S...
IRJET- Experimental Investigation of Pipe in Pipe Tube Heat Exchanger using S...IRJET Journal
 
11.mass transfer coefficient evaluation for lab scale fermenter using sodium ...
11.mass transfer coefficient evaluation for lab scale fermenter using sodium ...11.mass transfer coefficient evaluation for lab scale fermenter using sodium ...
11.mass transfer coefficient evaluation for lab scale fermenter using sodium ...Alexander Decker
 
Mass transfer coefficient evaluation for lab scale fermenter using sodium sul...
Mass transfer coefficient evaluation for lab scale fermenter using sodium sul...Mass transfer coefficient evaluation for lab scale fermenter using sodium sul...
Mass transfer coefficient evaluation for lab scale fermenter using sodium sul...Alexander Decker
 
Optimizing Bunsen burner Performance Using CFD Analysis
Optimizing Bunsen burner Performance Using CFD AnalysisOptimizing Bunsen burner Performance Using CFD Analysis
Optimizing Bunsen burner Performance Using CFD AnalysisIJMER
 
Analysis of Natural Gas Composition and BTU Content from Fracking Operations
Analysis of Natural Gas Composition and BTU Content from Fracking OperationsAnalysis of Natural Gas Composition and BTU Content from Fracking Operations
Analysis of Natural Gas Composition and BTU Content from Fracking OperationsJennifer Maclachlan
 
An autoignition performance comparison of chemical kinetics models for n-heptane
An autoignition performance comparison of chemical kinetics models for n-heptaneAn autoignition performance comparison of chemical kinetics models for n-heptane
An autoignition performance comparison of chemical kinetics models for n-heptaneOregon State University
 
EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...
EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...
EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...BIBHUTI BHUSAN SAMANTARAY
 
Advantages of the self organizing controller for high-pressure sterilization ...
Advantages of the self organizing controller for high-pressure sterilization ...Advantages of the self organizing controller for high-pressure sterilization ...
Advantages of the self organizing controller for high-pressure sterilization ...ISA Interchange
 
Fuzzy logic for plant-wide control of biological wastewater treatment process...
Fuzzy logic for plant-wide control of biological wastewater treatment process...Fuzzy logic for plant-wide control of biological wastewater treatment process...
Fuzzy logic for plant-wide control of biological wastewater treatment process...ISA Interchange
 
Training gas chromotograph
Training gas chromotographTraining gas chromotograph
Training gas chromotographMasab Qadir
 

What's hot (18)

CO2QUEST - Fluid Properties and phase behaviour of CO2 with impurities - Geor...
CO2QUEST - Fluid Properties and phase behaviour of CO2 with impurities - Geor...CO2QUEST - Fluid Properties and phase behaviour of CO2 with impurities - Geor...
CO2QUEST - Fluid Properties and phase behaviour of CO2 with impurities - Geor...
 
Life Cycle Assessment
Life Cycle Assessment Life Cycle Assessment
Life Cycle Assessment
 
Evaluating mathematical heat transfer effectiveness equations using cfd techn...
Evaluating mathematical heat transfer effectiveness equations using cfd techn...Evaluating mathematical heat transfer effectiveness equations using cfd techn...
Evaluating mathematical heat transfer effectiveness equations using cfd techn...
 
Heating Value Estimation for Natural Gas Applications
Heating Value Estimation for Natural Gas ApplicationsHeating Value Estimation for Natural Gas Applications
Heating Value Estimation for Natural Gas Applications
 
PASSIVE LIQUID WATER RECOVERY FROM FUEL CELL EXHAUST
PASSIVE LIQUID WATER RECOVERY FROM FUEL CELL EXHAUSTPASSIVE LIQUID WATER RECOVERY FROM FUEL CELL EXHAUST
PASSIVE LIQUID WATER RECOVERY FROM FUEL CELL EXHAUST
 
The understanding of gas geochemical model to reduce the exploration uncertainty
The understanding of gas geochemical model to reduce the exploration uncertaintyThe understanding of gas geochemical model to reduce the exploration uncertainty
The understanding of gas geochemical model to reduce the exploration uncertainty
 
IRJET- Experimental Investigation of Pipe in Pipe Tube Heat Exchanger using S...
IRJET- Experimental Investigation of Pipe in Pipe Tube Heat Exchanger using S...IRJET- Experimental Investigation of Pipe in Pipe Tube Heat Exchanger using S...
IRJET- Experimental Investigation of Pipe in Pipe Tube Heat Exchanger using S...
 
A8
A8A8
A8
 
11.mass transfer coefficient evaluation for lab scale fermenter using sodium ...
11.mass transfer coefficient evaluation for lab scale fermenter using sodium ...11.mass transfer coefficient evaluation for lab scale fermenter using sodium ...
11.mass transfer coefficient evaluation for lab scale fermenter using sodium ...
 
Mass transfer coefficient evaluation for lab scale fermenter using sodium sul...
Mass transfer coefficient evaluation for lab scale fermenter using sodium sul...Mass transfer coefficient evaluation for lab scale fermenter using sodium sul...
Mass transfer coefficient evaluation for lab scale fermenter using sodium sul...
 
Optimizing Bunsen burner Performance Using CFD Analysis
Optimizing Bunsen burner Performance Using CFD AnalysisOptimizing Bunsen burner Performance Using CFD Analysis
Optimizing Bunsen burner Performance Using CFD Analysis
 
Modelling Heat Losses in a Tar Sand Formation during Thermal Recovery Proces...
Modelling Heat Losses in a Tar Sand Formation during Thermal  Recovery Proces...Modelling Heat Losses in a Tar Sand Formation during Thermal  Recovery Proces...
Modelling Heat Losses in a Tar Sand Formation during Thermal Recovery Proces...
 
Analysis of Natural Gas Composition and BTU Content from Fracking Operations
Analysis of Natural Gas Composition and BTU Content from Fracking OperationsAnalysis of Natural Gas Composition and BTU Content from Fracking Operations
Analysis of Natural Gas Composition and BTU Content from Fracking Operations
 
An autoignition performance comparison of chemical kinetics models for n-heptane
An autoignition performance comparison of chemical kinetics models for n-heptaneAn autoignition performance comparison of chemical kinetics models for n-heptane
An autoignition performance comparison of chemical kinetics models for n-heptane
 
EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...
EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...
EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...
 
Advantages of the self organizing controller for high-pressure sterilization ...
Advantages of the self organizing controller for high-pressure sterilization ...Advantages of the self organizing controller for high-pressure sterilization ...
Advantages of the self organizing controller for high-pressure sterilization ...
 
Fuzzy logic for plant-wide control of biological wastewater treatment process...
Fuzzy logic for plant-wide control of biological wastewater treatment process...Fuzzy logic for plant-wide control of biological wastewater treatment process...
Fuzzy logic for plant-wide control of biological wastewater treatment process...
 
Training gas chromotograph
Training gas chromotographTraining gas chromotograph
Training gas chromotograph
 

Viewers also liked

Introduction to Linux
Introduction to LinuxIntroduction to Linux
Introduction to Linuxhaya_alj
 
F453 computer science everything
F453 computer science everythingF453 computer science everything
F453 computer science everythingMark Gibbs
 
Certificates & CV Dawn Elmore Anon
Certificates & CV Dawn Elmore AnonCertificates & CV Dawn Elmore Anon
Certificates & CV Dawn Elmore AnonDawn Elmore
 
Ruben Muradyan - Cybersecurity - ArmIGF 2015
Ruben Muradyan - Cybersecurity - ArmIGF 2015Ruben Muradyan - Cybersecurity - ArmIGF 2015
Ruben Muradyan - Cybersecurity - ArmIGF 2015Arm Igf
 
Initial ideas (A2)
Initial ideas (A2)Initial ideas (A2)
Initial ideas (A2)ir97media
 
Victor Lubbe Resume
Victor Lubbe ResumeVictor Lubbe Resume
Victor Lubbe ResumeVICTOR LUBBE
 
кружки
кружкикружки
кружкиlordandr7
 
Evaluation task 4
Evaluation task 4Evaluation task 4
Evaluation task 4wfbennett
 
Jca steam clean gallery
Jca steam clean galleryJca steam clean gallery
Jca steam clean galleryKurt Sanderson
 
Las dos guias finales de ingles
Las dos guias finales de inglesLas dos guias finales de ingles
Las dos guias finales de inglescarlosfdiago
 

Viewers also liked (17)

Introduction to Linux
Introduction to LinuxIntroduction to Linux
Introduction to Linux
 
Pic analysis 3
Pic analysis 3Pic analysis 3
Pic analysis 3
 
Anthony Hansungule Jempa ed
Anthony Hansungule Jempa edAnthony Hansungule Jempa ed
Anthony Hansungule Jempa ed
 
F453 computer science everything
F453 computer science everythingF453 computer science everything
F453 computer science everything
 
Certificates & CV Dawn Elmore Anon
Certificates & CV Dawn Elmore AnonCertificates & CV Dawn Elmore Anon
Certificates & CV Dawn Elmore Anon
 
Aplicaciones imformaticas
Aplicaciones imformaticasAplicaciones imformaticas
Aplicaciones imformaticas
 
Ruben Muradyan - Cybersecurity - ArmIGF 2015
Ruben Muradyan - Cybersecurity - ArmIGF 2015Ruben Muradyan - Cybersecurity - ArmIGF 2015
Ruben Muradyan - Cybersecurity - ArmIGF 2015
 
Initial ideas (A2)
Initial ideas (A2)Initial ideas (A2)
Initial ideas (A2)
 
AGPC(CON)Rev-00 - Copy
AGPC(CON)Rev-00 - CopyAGPC(CON)Rev-00 - Copy
AGPC(CON)Rev-00 - Copy
 
Victor Lubbe Resume
Victor Lubbe ResumeVictor Lubbe Resume
Victor Lubbe Resume
 
кружки
кружкикружки
кружки
 
Evaluation task 4
Evaluation task 4Evaluation task 4
Evaluation task 4
 
Jca steam clean gallery
Jca steam clean galleryJca steam clean gallery
Jca steam clean gallery
 
scholarship_award
scholarship_awardscholarship_award
scholarship_award
 
Itc e cigarette
Itc e cigaretteItc e cigarette
Itc e cigarette
 
JAWA Motorcycles
JAWA MotorcyclesJAWA Motorcycles
JAWA Motorcycles
 
Las dos guias finales de ingles
Las dos guias finales de inglesLas dos guias finales de ingles
Las dos guias finales de ingles
 

Similar to Stack_Velocity_Project-2

Performance prediction of a thermal system using Artificial Neural Networks
Performance prediction of a thermal system using Artificial Neural NetworksPerformance prediction of a thermal system using Artificial Neural Networks
Performance prediction of a thermal system using Artificial Neural NetworksIJERD Editor
 
Effect of Wavy (Corrugated) Twisted Tape Inserts on Heat Transfer in a double...
Effect of Wavy (Corrugated) Twisted Tape Inserts on Heat Transfer in a double...Effect of Wavy (Corrugated) Twisted Tape Inserts on Heat Transfer in a double...
Effect of Wavy (Corrugated) Twisted Tape Inserts on Heat Transfer in a double...ijiert bestjournal
 
IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...
IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...
IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...IRJET Journal
 
IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...
IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...
IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...IRJET Journal
 
101 Tuesday A-2 Small Shell and Tube
101 Tuesday A-2 Small Shell and Tube101 Tuesday A-2 Small Shell and Tube
101 Tuesday A-2 Small Shell and TubeKaylene Kowalski
 
IRJET- Comparsion of Heat Transfer Analysis of Double Pipe Heat Exchanger wit...
IRJET- Comparsion of Heat Transfer Analysis of Double Pipe Heat Exchanger wit...IRJET- Comparsion of Heat Transfer Analysis of Double Pipe Heat Exchanger wit...
IRJET- Comparsion of Heat Transfer Analysis of Double Pipe Heat Exchanger wit...IRJET Journal
 
10473289%2 e1995%2e10467418
10473289%2 e1995%2e1046741810473289%2 e1995%2e10467418
10473289%2 e1995%2e10467418Muhammad Awais
 
CondensateFeedwaterSystem Part1.ppt
CondensateFeedwaterSystem Part1.pptCondensateFeedwaterSystem Part1.ppt
CondensateFeedwaterSystem Part1.pptArslanAbbas36
 
Heat transfer enhancement in super heater tube using
Heat transfer enhancement in super heater tube usingHeat transfer enhancement in super heater tube using
Heat transfer enhancement in super heater tube usingeSAT Publishing House
 
Performance Analysis of Single Pass Earth Tube Heat Exchanger for Cooling in ...
Performance Analysis of Single Pass Earth Tube Heat Exchanger for Cooling in ...Performance Analysis of Single Pass Earth Tube Heat Exchanger for Cooling in ...
Performance Analysis of Single Pass Earth Tube Heat Exchanger for Cooling in ...IRJET Journal
 
An Offshore Natural Gas Transmission Pipeline Model and Analysis for the Pred...
An Offshore Natural Gas Transmission Pipeline Model and Analysis for the Pred...An Offshore Natural Gas Transmission Pipeline Model and Analysis for the Pred...
An Offshore Natural Gas Transmission Pipeline Model and Analysis for the Pred...IOSRJAC
 
Analysis of Double Pipe Heat Exchanger With Helical Fins
Analysis of Double Pipe Heat Exchanger With Helical FinsAnalysis of Double Pipe Heat Exchanger With Helical Fins
Analysis of Double Pipe Heat Exchanger With Helical FinsIRJET Journal
 
Experimental analysis of heat transfer enhancementin circular
Experimental analysis of heat transfer enhancementin circularExperimental analysis of heat transfer enhancementin circular
Experimental analysis of heat transfer enhancementin circulariaemedu
 
EXPERIMENTAL ANALYSIS OF HEAT TRANSFER AND FLUID FLOW IN MICRO-CHANNEL HEAT SINK
EXPERIMENTAL ANALYSIS OF HEAT TRANSFER AND FLUID FLOW IN MICRO-CHANNEL HEAT SINKEXPERIMENTAL ANALYSIS OF HEAT TRANSFER AND FLUID FLOW IN MICRO-CHANNEL HEAT SINK
EXPERIMENTAL ANALYSIS OF HEAT TRANSFER AND FLUID FLOW IN MICRO-CHANNEL HEAT SINKijmech
 

Similar to Stack_Velocity_Project-2 (20)

Performance prediction of a thermal system using Artificial Neural Networks
Performance prediction of a thermal system using Artificial Neural NetworksPerformance prediction of a thermal system using Artificial Neural Networks
Performance prediction of a thermal system using Artificial Neural Networks
 
TmangatPoster_MAZ
TmangatPoster_MAZTmangatPoster_MAZ
TmangatPoster_MAZ
 
Effect of Wavy (Corrugated) Twisted Tape Inserts on Heat Transfer in a double...
Effect of Wavy (Corrugated) Twisted Tape Inserts on Heat Transfer in a double...Effect of Wavy (Corrugated) Twisted Tape Inserts on Heat Transfer in a double...
Effect of Wavy (Corrugated) Twisted Tape Inserts on Heat Transfer in a double...
 
IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...
IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...
IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...
 
IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...
IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...
IRJET- Experimental Evaluation of Shell & Tube Heat Exchanger with P – Toluid...
 
Aijrfans14 231
Aijrfans14 231Aijrfans14 231
Aijrfans14 231
 
101 Tuesday A-2 Small Shell and Tube
101 Tuesday A-2 Small Shell and Tube101 Tuesday A-2 Small Shell and Tube
101 Tuesday A-2 Small Shell and Tube
 
IRJET- Comparsion of Heat Transfer Analysis of Double Pipe Heat Exchanger wit...
IRJET- Comparsion of Heat Transfer Analysis of Double Pipe Heat Exchanger wit...IRJET- Comparsion of Heat Transfer Analysis of Double Pipe Heat Exchanger wit...
IRJET- Comparsion of Heat Transfer Analysis of Double Pipe Heat Exchanger wit...
 
marcet boiler
marcet boilermarcet boiler
marcet boiler
 
REPORT-MSD
REPORT-MSDREPORT-MSD
REPORT-MSD
 
10473289%2 e1995%2e10467418
10473289%2 e1995%2e1046741810473289%2 e1995%2e10467418
10473289%2 e1995%2e10467418
 
Ld35191119013
Ld35191119013Ld35191119013
Ld35191119013
 
CondensateFeedwaterSystem Part1.ppt
CondensateFeedwaterSystem Part1.pptCondensateFeedwaterSystem Part1.ppt
CondensateFeedwaterSystem Part1.ppt
 
Heat transfer enhancement in super heater tube using
Heat transfer enhancement in super heater tube usingHeat transfer enhancement in super heater tube using
Heat transfer enhancement in super heater tube using
 
Performance Analysis of Single Pass Earth Tube Heat Exchanger for Cooling in ...
Performance Analysis of Single Pass Earth Tube Heat Exchanger for Cooling in ...Performance Analysis of Single Pass Earth Tube Heat Exchanger for Cooling in ...
Performance Analysis of Single Pass Earth Tube Heat Exchanger for Cooling in ...
 
An Offshore Natural Gas Transmission Pipeline Model and Analysis for the Pred...
An Offshore Natural Gas Transmission Pipeline Model and Analysis for the Pred...An Offshore Natural Gas Transmission Pipeline Model and Analysis for the Pred...
An Offshore Natural Gas Transmission Pipeline Model and Analysis for the Pred...
 
Analysis of Double Pipe Heat Exchanger With Helical Fins
Analysis of Double Pipe Heat Exchanger With Helical FinsAnalysis of Double Pipe Heat Exchanger With Helical Fins
Analysis of Double Pipe Heat Exchanger With Helical Fins
 
Experimental analysis of heat transfer enhancementin circular
Experimental analysis of heat transfer enhancementin circularExperimental analysis of heat transfer enhancementin circular
Experimental analysis of heat transfer enhancementin circular
 
EXPERIMENTAL ANALYSIS OF HEAT TRANSFER AND FLUID FLOW IN MICRO-CHANNEL HEAT SINK
EXPERIMENTAL ANALYSIS OF HEAT TRANSFER AND FLUID FLOW IN MICRO-CHANNEL HEAT SINKEXPERIMENTAL ANALYSIS OF HEAT TRANSFER AND FLUID FLOW IN MICRO-CHANNEL HEAT SINK
EXPERIMENTAL ANALYSIS OF HEAT TRANSFER AND FLUID FLOW IN MICRO-CHANNEL HEAT SINK
 
A046040105
A046040105A046040105
A046040105
 

Stack_Velocity_Project-2

  • 1. HTW Building Stack Velocity Testing Prepared by Spencer Owen and Geoff Silcox Department of Chemical Engineering University of Utah Prepared for Michael D. Brehm Environmental Health and Safety University of Utah June 2015
  • 2. Introduction The Office of Environmental Health and Safety (EHS) at the University of Utah inquired whether the students in Chemical Engineering 5305, Air Pollution Control Engineering, could help resolve an apparent inconsistency in the measured stack velocity in the High Temperature Water Plant (HTW). The velocity measured by DMK Environmental Engineering was higher than what would be expected based on the reported firing rate of the turbine and boilers in the HTW. The air pollution course is offered spring semester and in 2015 the students were asked to pick a research project related to air pollution. For his project, one of the students, Spencer Owen, offered to work with EHS to resolve the inconsistency noted above. The HTW is located at 1705 E South Campus Dr. The plant burns natural gas in a simple- cycle gas turbine and occasionally in supplemental boilers. The turbine is connected to a generator to supply the campus with electric power and the hot exhaust gases pass through a heat recovery unit to produce hot water for heating. The hot gases are exhausted through a stack on the roof of the HTW. The stack data collected by DMK were consistent except for the velocity. Through a material balance the stack flow rate and velocity are related to the amount of natural gas burned. The amount that DMK had calculated [1] was up to 30 million BTU’s (MBTU) more than what the plant was reporting. DMK also measured apparent negative static pressures at the sampling locations in the stack. This report explains these two features of the measurements and recommends ways to improve future measurements and analysis. Technical Approach The velocity of the exhaust gases in the stack was measured with an S-type pitot tube supplied by DMK. Pressure differences were measured with a magnehelic gauge that was also supplied by DMK. The experimental procedure followed the standard EPA Method 2 [2]. Prior to making stack measurements, qualitative tests of the pitot tube and the magnehelic gauge were performed in a small wind tunnel located in the Senior Projects Lab in the Department of Chemical Engineering. The velocity measurement locations in the stack were chosen based on EPA Method 1 [3]. The cylindrical stack and its dimensions are given in Figure 1 [1]. The inside diameter was 53.5 inches and the sampling locations were 34 inches above the roof. Method 1 specifies how to pick traverse points in measuring stack velocities. We used 16 points to traverse the stack and an additional 16 points perpendicular to those. The flow in the stack was turbulent and the pressure differences (P) obtained with the pitot tube and magnehelic were uncertain to 0.5 inches of water. Appendix 1 shows the recorded values of . The average exhaust temperature, based on measurements at four points, was 388.5 . To estimate the stack velocity and the average molar mass of the exhaust gases the natural gas was approximated as pure methane. This simplified the stoichiometric and heating value calculations.
  • 3. Figure 1. Schematic of stack and its dimensions. The measured inside diameter was 53.5 in. [1]. The gas velocities were calculated as specified in Method 2 [2]. The average was 1.19 inches of water (in. H2O). EPA Method 2 recommends ∑ √ √ (1) to calculate the average velocity; where is the velocity equation constant, is the constant for S-type pitot tubes, is the average absolute temperature in the stack, is the absolute pressure in the stack, is the pressure difference from the S-type pitot tube at location i, n is the number of sampling points, and is the average molar mass of the combustion gases. The latter is calculated by assuming complete combustion with        2 2 4 2 2 2 2 2 2 2 2 1 1 2 2 2 2 2 1O O O O y y CH SR O SR N H O CO SR N SR O y y          (2) where SR is the stoichiometric ratio, and yO2 is the mol fraction of oxygen in air. Air was assumed to be 21 mol % oxygen, balance nitrogen and the stoichiometric ratio was assumed to be 2.0.
  • 4. The stack velocity is related to molar flow rate (n ), gas density () and the cross- sectional area of the stack (A) by ̇ (3) The molar flow rate is related to the number of moles of methane burned through (2). The flow rate of methane was calculated from the given firing rate (decatherms/h or MBtu/h) of the HTW and the higher heating value (HHV) of methane. Appendix 2 contains the values and calculations related to firing rate, molar mass, and stack velocity. The absolute stack pressure, Ps, appears in (2). The absolute pressure is the sum of the stack static pressure, Pg, and the barometric pressure, Pbar, Ps = Pbar + Pg (4) EPA Method 2, Part 6.4, suggests measuring Pg by placing one of the openings of the s- type pitot tube parallel to the gas flow. The measured value of Pbar was 0.84 atm. The University of Utah and DMK performed this test and measured a negative value. A negative value is physically impossible. As an alternative, the engineering form of Bernoulli’s equation provides an estimate of the absolute stack pressure: (5) where is the density of the gas and the friction heating term is given by (6) In (6), D is the diameter, is the change in height from the top of the stack to the plane of measurement. The friction factor is estimated by [ ( ) ] (7) where is the roughness, and the Reynolds number is given by (8) where µ is the viscosity. Equations 5 – 8 show that the static pressure must be positive. Numerical values are given in Appendix 3.
  • 5. Results and Discussion We made our stack measurements on April 10, 2015 and for this day the HTW staff reported that the power was 80 MBtu/hr. This “firing rate” and Equations 2 - 8 give an average stack velocity of 55 ft/s. The average pressure difference (P) measured in the stack with the pitot tube, and used in (1), was 1.5 in. water. Using this for (P) in (3), the resultant velocity is 93 ft/s, which is equivalent 130 MBtu/hr. This is quite different from the reported firing rate. This discrepancy prompted another visit with the staff at the HTW building to ask how they measured power in the plant. The HTW staff calculates power by the product of the heat capacity of water, the temperature increase of the water, and the mass flow rate of water leaving the plant. This approach underestimates the firing rate of the turbine because it neglects the electric power produced by the generator and the energy losses through the hot exhaust gases leaving the stack. This explains why the stack velocities measured by DMK and the University of Utah appear to be too high. Conclusion and Recommendations The power output report by the HTW is based on the properties of the hot water: the product of its heat capacity, its temperature increase, and its mass flow rate. This approach underestimates the firing rate of the turbine because it neglects the electric power produced by the generator and the energy losses through the stack. If the firing rate is calculated in this way the measured stack velocities will always appear to be too high. Two key recommendations have resulted from this study: (1) future calculations of the stack velocity should be based on the firing rate of natural gas and (2) when using s-type pitot tubes the stack static pressure, Pg, should be compared to that calculated from Equations 4 – 8. Negative stack static pressures are impossible and are probably an artifact of the s-type pitot tube. In addition, the accuracy of future University of Utah measurements can be improved by (1) using a digital manometer to obtain averaged values of P, (2) closing the opening around the probe to prevent the escape of the hot gases, and (3) using a support to hold the probe and magnehelic when making traverses. Acknowledgements The authors gratefully acknowledge the assistance of David Kopta, President of DMK Environmental Engineering, Inc., for supplying the equipment used in this study and for explaining how to use it. Michael Brehm, Environmental Protection Section Leader at the University of Utah gave generously of his time in helping to make the stack measurements. Finally, Terry Walters, supervisor at the High Temperature Water Plant, made us welcome in his facility and provided us with the tools and information that made this project possible.
  • 6. References [1] Kopta, David, “U of U Central Heat Plant Gas Turbine,” January 2015 [2] “Method 2 – Determination of Stack Gas Velocity and Volumetric Flow Rate (S-Type Pitot Tube),” Internet Posting at http://www.epa.gov/ttn/emc/promgate/m-02.pdf, Updated December 5, 2014, Environmental Protection Agency. [3] “Method 1 – Sample and Velocity Traverses For Stationary Sources,” Internet Posting at http://www.epa.gov/ttn/emc/promgate/m-01.pdf, Last Updated December 5, 2014, Environmental Protection Agency.
  • 7. Appendix 1 Stack Measurement and Velocities
  • 9. Appendix 3 Static Pressure Calculations