HIGH-FIDELITY MODELS FOR COAL COMBUSTION: TOWARD HIGH-TEMPERATURE OXY-COAL FOR DIRECT POWER EXTRACTION

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1 HIGH-FIDELITY MODELS FOR COAL COMBUSTION: TOWARD HIGH-TEMPERATURE OXY-COAL FOR DIRECT POWER EXTRACTION XINYU ZHAO UNIVERSITY OF CONNECTICUT DANIEL C. HAWORTH 1, MICHAEL F. MODEST 2, JIAN CAI 3 1 THE PENNSYLVANIA STATE UNIVERSITY 2 UNIVERSITY OF CALIFORNIA, MERCED 3 UNIVERSITY OF WYOMING SPONSORED BY NATIONAL ENERGY TECHNOLOGY LABORATORY

2 HIGH-TEMPERATURE OXY-COAL COMBUSTION N 2 out Ash H 2 O SO 2 Air in Air separation unit O 2 in Combustor ~2800 K CO 2 flue gas Steam MHD steam turbine toppings DC steam CO 2 flue gas Steam generator Environmental cleanup equipment Coal in CO 2 capture Steam Work turbine Challenging factors: Highly-concentrated chemically-reactive and radiativelyparticipative species Shift of heat transfer patterns Change of modeling priority (devolatilization versus surfacereaction)

3 OBJECTIVES Explore the flow, chemistry, and heat transfer, and their interactions through high-fidelity models. Physics Turbulent flow field Gas-phase chemistry Turbulence-chemistryradiation interactions Radiative heat transfer Spectral properties of gas/particle Char surface reaction model Devolatilization model Proposed models RANS-based model (LES) Detailed chemistry models Transported PDF models P1 model (Photon Monte Carlo) k-distribution considering CO 2, H 2 O, CO, and particles. CBK model with CO 2, H 2 O, O 2 CPD model/ Two-rates model with fitted parameter

4 A SYSTEMATIC APPROACH HAS BEEN ADOPTED IMPLEMENT AND VALIDATE PMC-LBL FOR HIGH-T OXY-CH 4 oxygen annulus 18 14 8 wall fuel jet unit: mm oxygen jet fuel jet furnace walls axis furnace outlet 3440 N. Lallemant, F. Breussin, R. Weber, T. Ekman, J. Dugue, J. M. Samaniego, O. Charon, A. J. Van Den Hoogen, J. Van Der Bemt, W. Fujisaki, T. Imanari, T. Nakamura and K. IINO. Flame Structure, heat transfer and pollutant emissions characteristics of oxy-natural gas flames in the 0.7-1 MW thermal input range. Journal of Institute of Energy, 73, pp. 169-182

5 A SYSTEMATIC APPROACH HAS BEEN ADOPTED IMPLEMENT AND VALIDATE TRANSPORTED PDF COAL SOLVER Flame A Flame B Flame A: S. M. Hwang, R. kurose, F. Akamatsu, H. Tsuji, H. Makino and M. Katsuki. Application of optical diagnostics techniques to a laboratory-scale turbulent pulverized coal flame. Energy Fuels (2005), 19, 382-392 FlameB: M. Taniguchi, H. Okazaki, H. Kobayashi, S. Azuhata, H. Miyadera, H. Muto, T. Tsumura. Pyrolysis and ignition characteristics of pulverized coal particles. ASME. Vol. 123. pp. 32-38.

6 OUTLINE Methods Chemistry and turbulence-chemistry interactions Radiative heat transfer High-fidelity models in coal combustion Conclusions

7 METHOD Transported composition PDF method Photon Monte Carlo method + LBL mesh cells density continuity momentum energy pressure k, ɛ mean flow notional particles notional particle tracking mixing reaction radiation photon bundles notional particles S c S c ( T) Turbulence-chemistry-radiation interactions I bη I bη ( T)

8 METHOD Finally Transported PDF/PMC/coal solver The coupling model is a challenging aspect. Enthalpy and mass sources for each individual species (+/-) Coal parcels in one cell (solid phase) PDF notional particles in one cell (gas phase)

9 TYPICAL SUB-MODELS Turbulence: standard k-epsilon model with adjusted C ɛ1 Chemical mechanisms GRI-Mech 2.11 Radiative heat transfer P1 radiation with gray gas and particles P1 with k-distribution (Cai et al.) Mixing models Euclidean minimum spanning tree model (EMST) Variable C Φ Chemical acceleration In situ adaptive tabulation (ISAT) (parallel) Devolatilization two-rates model single-rate model modified single-rate model Surface reaction diffusion-kinetic-control model oxy-char combustion model ** *Mehta, R. S., Haworth, D. C., Modest, M. F. An assessment of gas-phase reaction mechanisms and soot models for laminar atmosphericpressure ethylene-air flames. Proc. Combust. Inst. 32, 2009, 1327-1337. ** Murphy, J. J., and Shaddix, C. R. Combustion kinetics of coal chars in oxygen-enriched environments. Combust. Flame. 144,2006, 710-729

10 SOLUTION ALGORITHM FV RANS (OpenFOAM in C++) Transported PDF (Fortran) Initialize RANS code Initialize PDF particle codes Solve coal parcels position, velocity, energy transfer Add gas-phase particles evolved from coal NO Solve gas-phase momentum, equivalent energy, pressure equations Steady state END YES Move particle in physical and composition space Compute equivalent energy source term Spectral PMC

11 OUTLINE Methods Chemistry and turbulence-chemistry interactions Radiative heat transfer High-fidelity models in coal combustion Conclusions

12 TCI IN HIGH-TEMPERATURE OXY-CH 4 COMBUSTION mean temperature mean CO mass fraction

13 TCI IN TURBULENT COAL COMBUSTION The effect of turbulence-chemistry interactions is reflected in the flame structure. Computed Y OH OH PLIF

14 OUTLINE Methods Chemistry and turbulence-chemistry interactions Radiative heat transfer Advantage and difficulties of using high-fidelity models Conclusions

15 RADIATION IS DOMINANT IN THE HIGH-T OXY-CH 4 FLAME mean temperature mean X CO2 mean X CO x= 1.42m

16 SPECTRAL PMC MODEL CAN PREDICT ABSORPTION COEFFICIENTS IN THE HIGHLY PARTICIPATIVE ENVIRONMENT. HiTemp2010 database prediction: ~ 2. C. Yin, L. A. Rosendahl, S. K. Kær. Chemistry and radiation in oxy-fuel combustion: a computational fluid dynamics modeling study. Fuel. 90(7), pp. 2519-2529.

17 TURBULENCE-CHEMISTRY-RADIATION INTERACTIONS ARE INTENSE ONLY IN THE FLAME CORE, NEAR THE NOZZLE. TRI term 1 term 2 term 3

18 THE LABORATORY-SCALE FLAME IS OPTICALLY-THIN. RADIATION HAS HIGHER INFLUENCE TO LARGER PARTICLES. gas Solid 1, Solid 2, Solid 3, Courtesy of Jian Cai

19 OUTLINE Methods Chemistry and turbulence-chemistry interactions Radiative heat transfer High-fidelity models in coal combustion Conclusions

20 THE ASSUMPTION OF EQUILIBRIUM CHEMISTRY CAN BE EXAMINED BY THE FINITE-RATE MODEL. fast devolatilization CO H 2 O τ chem > τ vol fast chemistry Da = τ f τ c Da vol = τ f τ vol

21 THE MIXTURE FRACTIONS OF DEVOLATILIZATION AND SURFACE REACTION CAN BE RECONSTRUCTED FROM THE RESULTS. m devol m surf f devol = f m primary + m pilot + m surf = devol m primary + m pilot + m devol + m surf

22 THE ASSUMPTIONS USED IN THE MIXTURE FRACTION BASED METHOD COULD BE TESTED USING HIGH-FIDELITY MODELS. -0.99-0.8 pt1 pt2 0.32 0.9 pt3 pt4

23 DIFFICULTIES IN USING HIGH-FIDELITY MODELS Enthalpy and mass sources for each individual species (+/-) Coal parcels in one cell (solid phase) PDF notional particles in one cell (gas phase) Model 1: distribute cell-level mass and energy source weighted by notional particle mass (m p ) Model 2: distribute cell-level mass and energy source weighted by notional particle temperature (T p ) Model 3: distribute cell-level mass and energy source weighted by reactivity exp(-c/t p ) (C is a constant)

MORE VALIDATION WITH EXPERIMENTS OR HIGHER-ORDER MODEL IS NECESSARY. 24

25 CONCLUSIONS A transported PDF model for coal combustion using finiterate chemistry has been built. Components of the model has be validated through a hierarchy of experimental configurations. The spectral photon Monte-Carlo method implemented in this work can capture the nongray effect of the high-temperature oxy-combustion environment naturally. Turbulence-chemistry-radiation interactions can also be captured by the model without additional effort. The interactions are extremely important for pollutants prediction (CO, NO, and soot). The high-fidelity models developed in this work can be used to guide the development of simpler models. LES model will be coupled with PDF method to properly predict the particle location.

26 POSSIBLE FUTURE WORK CO 2 O 2

27