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Coupled Neutronics / Thermal- Hydraulics Modelling of Transients in a TRIGA mk. II Reactor at The University of Texas at Austin G. KLINE 2016

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Page 1: Coupled Neutronics / Thermal- Hydraulics Modelling of ...trtr.org/wp-content/uploads/2017/11/thermal_hydro_figures.pdf · Motivations RAIs related to The University of Texas at Austin

Coupled Neutronics / Thermal-

Hydraulics Modelling of Transients in a

TRIGA mk. II Reactor at The University

of Texas at AustinG. KLINE 2016

Page 2: Coupled Neutronics / Thermal- Hydraulics Modelling of ...trtr.org/wp-content/uploads/2017/11/thermal_hydro_figures.pdf · Motivations RAIs related to The University of Texas at Austin

Motivations

RAIs related to The University of Texas at Austin

(UT) relicensing

Accurate, user friendly program to solve

coupled model

Site-specific calculation tool for accurately

modelling a complicated transient process

Personal achievement in program and model

design and analysis

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The ℝ0, ℝ2 model

Point Kinetics {ℝ0} Reactivity based point kinetic

model

Single Neutron Velocity

ANS Decay Heat Considerations

Multiple Isotope Considerations

Variable Temperature Coefficient (GA-7882)

Source and Spontaneous Fission Considerations

Input Reactivity Variable to Event

UT Specific Reactor Parameters

Thermal-Hydraulics {ℝ2} Two Dimensional, transient

Natural Circulation using Plume Model

Energy, Mass Flow, and Momentum Balances using Finite Element Analysis (FEA)

Applicable Geometric Correlations

State Dependent Variables

Momentum and Extended Surface Fin Effects (Momentum Balance Version Only)

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Point Kinetics {ℝ0}

𝐝𝐧(𝐭)

𝐝𝐭=𝛒 𝐭 + 𝛂𝐅 𝐓𝐅(𝐭) − 𝐓𝐅,𝟎 + 𝛂𝐌 𝐓𝐌(𝐭) − 𝐓𝐌,𝟎 − 𝛃𝐞𝐟𝐟

𝐦𝐢𝐱

𝚲(𝐭)𝐧(𝐭) +

𝐢=𝟏

𝟔

𝛌𝐢𝐂𝐢(𝐭) + 𝐒(𝐭)

𝐝𝐂𝐢(𝐭)

𝐝𝐭=𝛃𝐢𝐦𝐢𝐱

𝚲(𝐭)𝐧 𝐭 − 𝛌𝐢𝐂𝐢 𝐭 , 𝐢 = 𝟏…𝟔

𝐝𝐇𝐢𝐣

𝐝𝐭=𝐄𝐢𝐣𝐏𝐢

𝐐− ෩𝛌𝐢𝐣𝐇𝐢𝐣 , 𝐢 = 𝟏…𝟑 𝐣 = 𝟏…𝟐𝟑

𝐏𝐞𝐟𝐟(𝐭) = 𝐏𝐢𝐧𝐬𝐭(𝐭) −

𝐢=𝟏

𝟑

𝐏𝐝𝐢 (𝐭) +

𝐢=𝟏

𝟑

𝐣=𝟏

𝟐𝟑

𝐇𝐢𝐣(𝐭)

𝑷𝒅𝒊 =

𝑷𝒊𝒏𝒔𝒕𝒊

𝑸∗

𝒋=𝟏

𝟐𝟑𝑬𝒊𝒋

𝝀𝒊𝒋Johnson, et al, 2010

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Thermal-Hydraulics {ℝ2} Utilized Elements of UT Loss of

Coolant Accident (LOCA) Code

Geometric values

Natural circulation relationships

Rayleigh number

Nusselt number

Material properties

Symmetric channel between

pins leads to hexagonal shaped

coolant area

Gas gap considered a

conductive, not convective region

Kline, 2016

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Thermal-Hydraulics {ℝ2} Each region is governed by a local

energy balance

Conduction between each of the solid boundaries

Convection between cladding and coolant

Buoyancy driven by region 13 -> 94

Leading to constant mass flow

Driven velocity for momentum balance

Linear ODE for each region

Conductive gas region

𝒅𝑻𝒊

𝒅𝒕=

𝟏

𝒎𝒊𝒄𝒑,𝒊σ𝒒𝒊𝒏 + σ ሶ𝒎𝒊 𝒉𝒊 + 𝒈𝒛𝒊

All conductions are considered inward for all units, allowing direction to be established by ΔT

𝑭𝒖𝒆𝒍

𝐺𝑟𝑎𝑝ℎ𝑖𝑡𝑒

𝐺𝑟𝑎𝑝ℎ𝑖𝑡𝑒

𝐺𝑎𝑠

𝐺𝑎𝑠

𝐺𝑎𝑠 𝐶𝑙𝑎𝑑

𝐶𝑙𝑎𝑑

𝐶𝑙𝑎𝑑

𝑪𝒐𝒐𝒍𝒂𝒏𝒕

𝑪𝒐𝒐𝒍𝒂𝒏𝒕

𝑪𝒐𝒐𝒍𝒂𝒏𝒕

𝑔

12

93

91 92

13

94101

100

99

98

97

96

Kline, 2016

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The ℝ0, ℝ2 Solution Algorithm Build Variable and constant

library

User Input (Standalone)

Stored Values (Nested Function)

Build initial condition vector

Solve the ODE set (>100eqns)

Iteratively solve. Each major step save full power, time, temperature, and rho vectors. Dump the rest.

If final time is reached move to output phase

Analyze output

Find max power and temp

Find times associated with this

If nested, pass this to workspace

Kline, 2016

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The ℝ0, ℝ2 Model VnV: Pulse

Simulated reactor pulses were

compared directly with the

results of SURV-7, a yearly pulse maintenance, and records

from previous ~13 pulses.

Input reactivity was calculated

using actual peak power and solving the Fuchs-Hansen

Model

𝑃𝑚𝑎𝑥 =𝜌′ 2

2𝑙𝛾

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The ℝ0, ℝ2 Model VnV: Rod Withdraw

Simulated rod withdraws were

compared to actual rod

withdraw events

A local ICS logging program was used to ensure 𝑘𝑒𝑓𝑓 = 1

Output was curve fit in MATLAB

and compared to the

simulation

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The ℝ0, ℝ2 Model VnV: Rod Withdraw

Simulated rod withdraws reactivity

inputs were found using the rod

heights and CRW curves

Error bars for both events were found

by perturbing the ODE set in the

maximum and minimum 𝑑𝑇

𝑑𝑡

directions by altering values using

uncertainty analysis

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The ℝ0, ℝ2 Model VnV: Rod Withdraw

Error bars for both events were found

by perturbing the ODE set in the

maximum and minimum 𝑑𝑇

𝑑𝑡

directions by altering values using

uncertainty analysis

Bulk of error percentage occurs at lower reactivity values for event

𝑦 = 𝑓 𝒙, 𝜽, 𝑡 𝑤ℎ𝑒𝑟𝑒: 𝒙 → 𝑣𝑎𝑟𝑖𝑎𝑏𝑙𝑒𝑠, 𝜽 → 𝑐𝑜𝑛𝑠𝑡𝑎𝑛𝑡𝑠

𝛿𝑦 = 𝜕𝑦

𝜕𝑥𝑖𝛿𝑥𝑖

2

+𝜕𝑦

𝜕𝜃𝑗𝛿𝜃𝑗

2

% Err. Power

% Err. Temp

Avg. Stdev. Err.

Pulse 33.9 10.4 10.1

Rod

Withdraw 19.8 19.1 10.1

Overall 33.8 11.4 11.1

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The ℝ0, ℝ2 Model Momentum Expansion

Regional expansion to include fuel

element endpoint geometries

Vectorization of velocity

Plume model application remains

V(13-94) drives fluid flow

𝑤𝑖𝑛 =𝜌𝑜𝑢𝑡𝐴𝑜𝑢𝑡𝑤𝑜𝑢𝑡

2 −𝐹𝐷𝑟𝑎𝑔,𝑐𝑦𝑙−𝐹𝐷𝑟𝑎𝑔,𝑐𝑜𝑛𝑒−𝐹𝑔

𝜌𝑖𝑛𝐴𝑖𝑛

𝜌𝑜𝑢𝑡𝐴𝑜𝑢𝑡𝑤𝑜𝑢𝑡2 − 𝜌𝑖𝑛𝐴𝑖𝑛𝑤𝑖𝑛

2 = 𝐹𝐷𝑟𝑎𝑔 + 𝐹𝑔

Drag forces

Conical sections use drag coefficient

based on angle of attack

Cylinder walls use Darcy friction Factor 𝑅(102)𝑅(104)

𝑅(92)

𝑅(13)

𝑅(94)

𝑅(103)

𝑅(12)

𝑅(105)

𝑅(93)

𝑅(91)

𝐶𝑙𝑎𝑑𝑑𝑖𝑛𝑔

𝑣𝑖𝐶𝑜𝑛𝑖𝑐𝑎𝑙𝑠𝑑𝑧𝑖

𝐴𝑖𝑛,𝑖

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The ℝ0, ℝ2 Model Momentum Expansion

Fins are considered triangular

extended surfaces

Fins develop region’s Rayleigh

number

Heat transfer based on fin

efficiency

𝑞𝑓𝑖𝑛 = 𝜂𝑓𝑖𝑛ℎ𝑓𝑖𝑛𝐴𝑆,𝑓𝑖𝑛 𝑇𝑆𝑆,𝑖 − 𝑇𝑐𝑜𝑜𝑙𝑎𝑛𝑡,𝑖

Calculated from geometry

𝜂𝑓𝑖𝑛 =1

𝑚𝐿𝑓𝑖𝑛

𝐼1(2𝑚𝐿𝑓𝑖𝑛)

𝐼0(2𝑚𝐿𝑓𝑖𝑛)

𝑚 =2ℎ𝑓𝑖𝑛

𝑘𝑆𝑆𝑡

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Graphical User Interface: Beta

Ease the analysis process

Allow multiple solution options

ℝ0, ℝ0

ℝ0, ℝ2

Different element

geometries

Provide user friendly

interactive output

Allow easy accounting for

site specific quantities

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Unanticipated Events: Pulse Limited to transient rod worth

$6 Pulse exceeds Argonne National Labs limit for hydrogen cracking

$7 Pulse

UT Excess Limit

Does not exceed

Simnad 1150°C

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Unanticipated Events: Rod Withdraw Run at maximum

excessive reactivity

($7)

Possibility for multiple

rod withdraw

While even a 10%

dk/k will not exceed

Simnad limit

Current UT limit does

not exceed the

Hydrogen cracking

limit

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Unanticipated Events: Energy

Reactivity Addition Rate (%dk/k)

Added Energy (MWs)

0.025 26.78

0.05 26.81

0.10 27.93

0.20 28.81

0.30 29.98

0.50 31.52

0.60 33.71

0.70 37.02

0.80 42.53

0.90 44.60

2.00 45.02

3.00 58.53

5.00 92.07

10.00 129.57

Pulse 130.58

Page 18: Coupled Neutronics / Thermal- Hydraulics Modelling of ...trtr.org/wp-content/uploads/2017/11/thermal_hydro_figures.pdf · Motivations RAIs related to The University of Texas at Austin

Conclusions Peak fuel element temperature is related to reactivity addition rate

as well as added reactivity

Lower reactivity rates may prevent exceeding lower fuel peak

temperature limits with governed excess reactivity capacity

Rates above 2%dk/k trend towards NOT exceeding the Simnad limit

Reactivity addition limits allow the energy to transfer out of the

fueled region to other parts of the element, slowing the transient

and allowing increased energy dissipation

Rod withdraw events at lower speeds add less overall energy to the

system

These events are independent and require separate consideration

Page 19: Coupled Neutronics / Thermal- Hydraulics Modelling of ...trtr.org/wp-content/uploads/2017/11/thermal_hydro_figures.pdf · Motivations RAIs related to The University of Texas at Austin

Future Work Neutron energy vector space

ℝ3, ℝ3

Neutron Diffusion

Neutron energy distribution

Decomposition of Zirconium-Hydride effect into physical reactions

Radial and axial varying coolant velocity

Coolant channel temperature distribution

Grid refinement

Quality factor and nucleate boiling

GUI

Improved solution time

Page 20: Coupled Neutronics / Thermal- Hydraulics Modelling of ...trtr.org/wp-content/uploads/2017/11/thermal_hydro_figures.pdf · Motivations RAIs related to The University of Texas at Austin

References [1] M. Johnson and M. Johnson, “Modeling of Reactor Kinetics and Dynamics Modeling of Reactor Kinetics and Dynamics,” Idaho Falls, 2010.

[2] L. M. S. Ziya Akcasu, Gerald S. Lellouche, Mathematical Methods in Nuclear Reactor Dynamics. New York, NY: Academic Press, 1971.

[3] G. Atomics, “Technical Foundation of TRIGA,” San Diego, CA, 1958.

[4] D. R. Tobergte and S. Curtis, “Kinetic Behavior of TRIGA Reactors,” in Conference on Utilization of Research Reactors, 1967.

[5] R. L. K. S. C. Hawley, “NUREG/CR-2387: Credible Accident Analyses for TRIGA and TRIGA-Fueled Reactors,” 1982.

[6] M. T. Simnad, “The U-ZrHx Alloy: Its Properties and Use in TRIGA Fuel,” Nucl. Eng. Des., vol. 64, pp. 403–422, 1981.

[7] Argonne National Laboratory, “Pulsing Temperature Limit for TRIGA LEU Fuel.pdf,” San Diego , CA, 2008.

[8] Argonne National Laboratory, “Fundamental Approach to TRIGA Steady-State Thermal-Hydraulic CHF Analysis,” San Diego, CA, 2007.

[9] D. R. Tobergte and S. Curtis, “GA-7882 Kinetic Behavior of TRIGA Reactors,” in Conference on Utilization of Research Reactors, 1967, p. 39.

[10] M.Krause, “The University of Texas at Austin TRIGA Safety and Analysis Report,” Austin, TX, 1991.

[11] G. Kline, “UT LOCA 2016,” 2016.

[12] L. E. Weaver, Reactor Dynamics and Control. New York, NY: American Elsevier Publishing Company, 1968.

[13] P. N. Haubenreich, “Prediction of Effective Yields of Delayed Neutrons in MSRE,” 1962.

[14] K. Dayman, “Laboratory 5 : Temperature Feedbacks on Reactivity,” 2013.

[15] V. E. Schrock, “A Revised ANS Standard for Decay Heat from Fission Products,” 1973.

[16] R. G. R. G. Rehm, R. Howard, and H. R. Baum, “The equations of motion for thermally driven, buoyant flows,” J. Res. Natl. Bur. Stand. (1934)., vol.

8, no. 3, p. 297, 1978.

[17] A. Wirth, “A Guided Tour Through Buoyancy Driven Flows and Mixing,” p. 66, 2015.

[18] F. P. Incropera, D. P. DeWitt, T. L. Bergman, and A. S. Lavine, Fundamentals of Heat and Mass Transfer, vol. 6th. 2007.

[19] T. L. Bergman, A. S. Lavine, F. P. Incropera, and D. P. DeWitt, Fundamentals of Heat and Mass Transfer. 2011.

[20] J. Cleveland, N. Aksan, P. Vijayan, and A. Nayak, “Natural circulation in water cooled nuclear power plants,” Ewp.Rpi.Edu, no. November,

2005.

[21] D. GmBH, “Liquid Density Calculaiton,” 2016. [Online]. Available:

http://ddbonline.ddbst.de/DIPPR105DensityCalculation/DIPPR105CalculationCGI.exe?component=Water.

Page 21: Coupled Neutronics / Thermal- Hydraulics Modelling of ...trtr.org/wp-content/uploads/2017/11/thermal_hydro_figures.pdf · Motivations RAIs related to The University of Texas at Austin

References [1] M. Johnson and M. Johnson, “Modeling of Reactor Kinetics and Dynamics Modeling of Reactor Kinetics and Dynamics,” Idaho Falls, 2010.

[2] L. M. S. Ziya Akcasu, Gerald S. Lellouche, Mathematical Methods in Nuclear Reactor Dynamics. New York, NY: Academic Press, 1971.

[3] G. Atomics, “Technical Foundation of TRIGA,” San Diego, CA, 1958.

[4] D. R. Tobergte and S. Curtis, “Kinetic Behavior of TRIGA Reactors,” in Conference on Utilization of Research Reactors, 1967.

[5] R. L. K. S. C. Hawley, “NUREG/CR-2387: Credible Accident Analyses for TRIGA and TRIGA-Fueled Reactors,” 1982.

[6] M. T. Simnad, “The U-ZrHx Alloy: Its Properties and Use in TRIGA Fuel,” Nucl. Eng. Des., vol. 64, pp. 403–422, 1981.

[7] Argonne National Laboratory, “Pulsing Temperature Limit for TRIGA LEU Fuel.pdf,” San Diego , CA, 2008.

[8] Argonne National Laboratory, “Fundamental Approach to TRIGA Steady-State Thermal-Hydraulic CHF Analysis,” San Diego, CA, 2007.

[9] D. R. Tobergte and S. Curtis, “GA-7882 Kinetic Behavior of TRIGA Reactors,” in Conference on Utilization of Research Reactors, 1967, p. 39.

[10] M.Krause, “The University of Texas at Austin TRIGA Safety and Analysis Report,” Austin, TX, 1991.

[11] G. Kline, “UT LOCA 2016,” 2016.

[12] L. E. Weaver, Reactor Dynamics and Control. New York, NY: American Elsevier Publishing Company, 1968.

[13] P. N. Haubenreich, “Prediction of Effective Yields of Delayed Neutrons in MSRE,” 1962.

[14] K. Dayman, “Laboratory 5 : Temperature Feedbacks on Reactivity,” 2013.

[15] V. E. Schrock, “A Revised ANS Standard for Decay Heat from Fission Products,” 1973.

[16] R. G. R. G. Rehm, R. Howard, and H. R. Baum, “The equations of motion for thermally driven, buoyant flows,” J. Res. Natl. Bur. Stand. (1934)., vol. 8, no. 3, p. 297, 1978.

[17] A. Wirth, “A Guided Tour Through Buoyancy Driven Flows and Mixing,” p. 66, 2015.

[18] F. P. Incropera, D. P. DeWitt, T. L. Bergman, and A. S. Lavine, Fundamentals of Heat and Mass Transfer, vol. 6th. 2007.

[19] T. L. Bergman, A. S. Lavine, F. P. Incropera, and D. P. DeWitt, Fundamentals of Heat and Mass Transfer. 2011.

[20] J. Cleveland, N. Aksan, P. Vijayan, and A. Nayak, “Natural circulation in water cooled nuclear power plants,” Ewp.Rpi.Edu, no. November, 2005.

[21] D. GmBH, “Liquid Density Calculaiton,” 2016. [Online]. Available: http://ddbonline.ddbst.de/DIPPR105DensityCalculation/DIPPR105CalculationCGI.exe?component=Water.

[22] Engineeringtoolbox.com, “Property Tables,” Engineeringtoolbox.com, 2016. [Online]. Available: http://www.engineeringtoolbox.com/water-thermal-properties-d_162.html.

[23] N. Convection, “Natural Convection,” vol. 1, pp. 735–777, 2003.

[24] P. Talukdar, “Natural/Free Convection.”

[25] D. Coast, “Plumes and Thermals,” pp. 163–180.

[26] D. T. Allen and C. J. Durrenberger, “Gaussian Plume Modeling.” 2014.

[27] R. Huang, “Lecture 7: Reduced Gravity models of the wind-driven circulation,” pp. 1–19, 2006.

[28] W. G. Luscher and K. J. Geelhood, “Material Property Correlations : Comparisons between FRAPCON, FRAPTRAN and MATPRO,” no. August, 2010.

[29] “Material Properties of Metals,” 2016. [Online]. Available: makeitfrom.com.

[30] Henri Fenech, Heat Transfer and Fluid Flow in Nuclear Systems. Pergamon Press, 1981.

[31] Kansas State, “Kansas State University Safety and Analysis Report ’06.” KSU, Manhatten, 2006.

[32] P. State, “External Flow Correlations ( Average , Isothermal Surface ) Internal Flow Correlations ( Local , Fully Developed Flow ),” 2016.

[33] “Hydrogen properties.” .

[34] “Mathworks,” Mathworks.com, 2016. .

[35] C. Johnson, “Lab 6 – Reactor Pulse,” 2013.

[36] G. Kline, “PXIe_ICS_Power_Cal_Etc_2015.” Greg Kline, Austin, TX, p. 100, 2015.

[37] N. I. S. D. of the IAEA, “IAEA TRIGA,” 2004. [Online]. Available: https://ansn.iaea.org/Common/documents/Training/TRIGA Reactors (Safety and Technology)/chapter1/characteristics33.htm.

[38] P. Howard, Analysis of ODE Models. 2009.

[39] L. F. Shampine, “Error Estimation and Control for ODEs,” J. Sci. Comput., vol. 25, no. 1, pp. 3–16, 2005.

[40] O. A. Chkrebtii and A. Science, “Probabilistic solution of differential equations for Bayesian uncertainty quantification and inference,” 2013.

[41] H. Report, T. Mark, and I. I. Pulsing, “General. dynamics,” 1998.

[42] H. Banks and S. Hu, “Propagation of Uncertainty in Dynamical Systems,” Ncsu.Edu, 2011.

[43] G. Kline, “UT {R^0,R^2 } Model.” 2016.

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Questions?Code is available for use, feel free to ask for it. THANK YOU

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AppendixAnd figures

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𝑅𝑝𝑖𝑛

𝑅ℎ𝑒𝑥

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𝐹𝑢𝑒𝑙

𝐺𝑟𝑎𝑝ℎ𝑖𝑡𝑒

𝐺𝑟𝑎𝑝ℎ𝑖𝑡𝑒

𝐺𝑎𝑠

𝐺𝑎𝑠

𝐺𝑎𝑠 𝐶𝑙𝑎𝑑

𝐶𝑙𝑎𝑑

𝐶𝑙𝑎𝑑

𝐶𝑜𝑜𝑙𝑎𝑛𝑡

𝐶𝑜𝑜𝑙𝑎𝑛𝑡

𝐶𝑜𝑜𝑙𝑎𝑛𝑡

𝑔

12

93

91 92

13

94101

100

99

98

97

96

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𝑅ℎ𝑒𝑥

𝑅𝑝𝑖𝑛

𝑅𝑖𝑛𝑛𝑒𝑟 𝑝𝑖𝑛

𝑑𝑅𝑐𝑙𝑎𝑑𝑑𝑅𝑔𝑎𝑠

𝐶𝑜𝑜𝑙𝑎𝑛𝑡 𝐶ℎ𝑎𝑛𝑛𝑒𝑙

𝑍𝑟 𝑅𝑜𝑑𝐹𝑢𝑒𝑙

𝐶𝑙𝑎𝑑

𝐺𝑎𝑠 𝐺𝑎𝑝

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𝑑𝑧_𝑐𝑜𝑛𝑑𝑓𝑢𝑒𝑙𝑑𝑧_𝑐𝑜𝑛𝑑𝑐𝑙𝑎𝑑

𝑑𝑧_𝑐𝑜𝑛𝑑𝑔𝑎𝑠

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ℎ𝑝𝑖𝑛 𝑡𝑜𝑡𝑎𝑙ℎ𝑓𝑢𝑒𝑙

ℎ𝑔𝑟𝑎𝑝ℎ𝑖𝑡𝑒

𝑑𝑧𝑔𝑟𝑎𝑝ℎ𝑖𝑡𝑒

𝑑𝑧𝑓𝑢𝑒𝑙

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𝐶𝑜𝑜𝑙𝑎𝑛𝑡 𝐶ℎ𝑎𝑛𝑛𝑒𝑙𝐹𝑢𝑒𝑙

𝐸𝑙𝑒𝑚𝑒𝑛𝑡

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𝐴𝑐𝑦𝑙 , ℎ𝑐𝑦𝑙, 𝐹𝐷𝑎𝑟𝑐𝑦

𝐴𝑐𝑜𝑛𝑒 , ℎ𝑐𝑜𝑛𝑒 , 𝐹𝐷𝑟𝑎𝑔,𝑐𝑜𝑛𝑒

𝐴𝑠𝑢𝑟𝑓,𝑓𝑖𝑛, ℎ𝑓𝑖𝑛, 𝑞𝑓𝑖𝑛

𝐹𝐷𝑎𝑟𝑐𝑦

𝐶𝐷

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𝑅(102)𝑅(104)

𝑅(92)

𝑅(13)

𝑅(94)

𝑅(103)

𝑅(12)

𝑅(105)

𝑅(93)

𝑅(91)𝐶𝑙𝑎𝑑𝑑𝑖𝑛𝑔 𝑣𝑖𝐶𝑜𝑛𝑖𝑐𝑎𝑙𝑠

𝑑𝑧𝑖

𝐴𝑖𝑛,𝑖

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