diff --git a/AF-Calculator.ipynb b/AF-Calculator.ipynb new file mode 100644 index 0000000..59177e5 --- /dev/null +++ b/AF-Calculator.ipynb @@ -0,0 +1,594 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "9e47daa3", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import cantera as ct\n", + "import pde\n", + "\n", + "import ipywidgets as widgets\n", + "\n", + "from matplotlib import pyplot as plt\n", + "%matplotlib widget" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c49236bf", + "metadata": {}, + "outputs": [], + "source": [ + "from scipy import optimize as opt" + ] + }, + { + "cell_type": "markdown", + "id": "4b1f191f", + "metadata": {}, + "source": [ + "# 이론공연비 계산" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "60f9c29b", + "metadata": {}, + "outputs": [], + "source": [ + "def stoich_AF (fuel_compostion, mole_fraction=True):\n", + " \"Stoichiometric Air/Fuel ratio (volume)\"\n", + " \n", + " gas = ct.Solution('gri30.xml')\n", + "\n", + " if mole_fraction:\n", + " gas.TPX = 600 + 273.15, ct.one_atm, fuel_compostion\n", + " else:\n", + " gas.TPY = 600 + 273.15, ct.one_atm, fuel_compostion\n", + " \n", + " fuel_comp = gas.X\n", + "\n", + " # 연료의 원자 1 몰 완전 연소에 필요한 산소 원자 몰 수\n", + " coef_O = gas.elemental_mole_fraction('C') * 2 + gas.elemental_mole_fraction('H') / 2 - (gas.elemental_mole_fraction('O'))\n", + "\n", + " # 연료의 원자 1 몰 완전 연소에 필요한 공기 원자 몰 수 = 산소 원자 몰 수 X (1 + 3.762)\n", + " coef_N = coef_O * 3.762\n", + "\n", + " # 공기 1몰의 원자 몰수 = 2 ; O2 + N2 만으로 구성되었으면\n", + " mean_natoms_air = 2\n", + "\n", + " # 연료 기체 1몰의 원자 몰수 (평균 분자당 원자 수)\n", + " mean_natoms_fuel = sum([(gas.X[i] * sum([v for v in gas.species(i).composition.values()])) for i in range(gas.n_species)])\n", + "\n", + " # 연료 기체 1몰에 필요한 공기 몰수 ()\n", + " air_fuel_ratio_st = mean_natoms_fuel * (coef_N + coef_O) / mean_natoms_air\n", + "\n", + " return (air_fuel_ratio_st)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "c633e758", + "metadata": {}, + "outputs": [], + "source": [ + "coke_oven_fuel = \"H2:6.42, O2:0.39, N2:47.28, CH4:1.79, CO:24.25, CO2:19.72, C2H4:0.13, C2H6:0.04\"\n", + "\n", + "air = ct.Solution('gri30.xml')\n", + "air.X = \"O2:1, N2:3.762\"\n", + "air_comp = air.X\n", + "\n", + "fuel = ct.Solution('gri30.xml')\n", + "fuel.X = coke_oven_fuel\n", + "fuel_comp = fuel.X" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "a20ce147", + "metadata": {}, + "outputs": [], + "source": [ + "def exhaust_stoichiometry (phi = 1, fuel=fuel_comp, return_unburned=False):\n", + "\n", + " mix = ct.Solution('gri30.xml')\n", + "\n", + " # mix.TPX = 25+273.15, ct.one_atm, phi * fuel_comp + st_AF * air_comp\n", + " \n", + " mix.set_equivalence_ratio(phi, fuel=fuel_comp, oxidizer=\"O2:0.21, N2:0.79\")\n", + " \n", + " element_X = {ename: mix.elemental_mole_fraction(ename) for ename in mix.element_names}\n", + " \n", + " exhaust = ct.Solution('gri30.xml')\n", + " exhaust.X = {\n", + " \"CO2\" : element_X['C'],\n", + " \"H2O\" : element_X['H']/2,\n", + " \"O2\" : (element_X['O'] - 2*element_X['C'] - element_X['H']/2)/2,\n", + " \"N2\" : element_X['N']/2,\n", + " }\n", + " \n", + " if return_unburned:\n", + " return mix.mole_fraction_dict(threshold=-1), exhaust.mole_fraction_dict(threshold=-1)\n", + " else:\n", + " return exhaust.mole_fraction_dict(threshold=-1)\n", + "\n", + "def exhaust_equilibrium (phi = 1):\n", + "\n", + " mix = ct.Solution('gri30.xml')\n", + "\n", + " mix.TPX = 25+273.15, ct.one_atm, phi * fuel_comp + st_AF * air_comp\n", + " \n", + " mix.equilibrate(\"HP\")\n", + " \n", + " return mix.mole_fraction_dict(threshold=-1)\n" + ] + }, + { + "cell_type": "markdown", + "id": "75feeff2", + "metadata": {}, + "source": [ + "# A/F 계산기" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bf8c7fe0", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6a0200388bb241a4bc4c75fb070af441", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(Textarea(value='H2:6.42, O2:0.39, N2:47.28, CH4:1.79, CO:24.25, CO2:19.72, C2H4:0.13, C2…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "@widgets.interact(\n", + " composition=widgets.Textarea(\n", + " value='H2:6.42, O2:0.39, N2:47.28, CH4:1.79, CO:24.25, CO2:19.72, C2H4:0.13, C2H6:0.04',\n", + " placeholder='\"species_name_0:X0, species_name_1:X1, species_name_2:X2, ... \"',\n", + " description='''Fuel Composition:''',\n", + " disabled=False\n", + "),\n", + " O2_in_exhaust=widgets.FloatSlider(\n", + " value=0,\n", + " min=0,\n", + " max=21.0,\n", + " step=0.1,\n", + " description='excess O2(%)',\n", + " readout=True,\n", + " readout_format='.1f',\n", + ")\n", + ")\n", + "def calculate_AF (composition, O2_in_exhaust):\n", + " gas = ct.Solution('gri30.xml')\n", + " try:\n", + " gas.TPX = 300, ct.one_atm, composition\n", + " except ct.CanteraError:\n", + " gas.TPX = 300, ct.one_atm, \"H2:1\"\n", + " \n", + " print(\"Fuel Gas\")\n", + " gas()\n", + " \n", + " AF_st = stoich_AF(composition)\n", + " \n", + " print(f'stoichiometric A/F = {AF_st}')\n", + " \n", + " f_found = opt.root_scalar(lambda x: exhaust_stoichiometry(x, fuel=composition)[\"O2\"] - O2_in_exhaust/100, \n", + " bracket=[1e-1, 1])\n", + " \n", + " # print(f_found)\n", + " \n", + " phi = f_found.root\n", + " print(f_found)\n", + " print(f'phi for {O2_in_exhaust}% O2 in exhaust gas = {phi}')\n", + " print(f'A/F(vol) for {O2_in_exhaust}% O2 in exhaust gas = {AF_st / phi}')\n", + " # mean molecular weight needed to calc mass A/F\n", + "\n", + " gas.TPX = 300, ct.one_atm, exhaust_stoichiometry(phi)\n", + " gas()" + ] + }, + { + "cell_type": "markdown", + "id": "4c6c962f", + "metadata": {}, + "source": [ + "# 발열량 계산" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "6c0407fe", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " converged: True\n", + " flag: 'converged'\n", + " function_calls: 9\n", + " iterations: 8\n", + " root: 0.6547411452355204\n" + ] + } + ], + "source": [ + "f_found = opt.root_scalar(lambda x: exhaust_stoichiometry(x)[\"O2\"] - 4.5/100, bracket=[1e-1, 1])\n", + "print(f_found)\n", + "phi_O2_045 = f_found.root" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "2f732468", + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "Xu, Xb = exhaust_stoichiometry(phi=phi_O2_045, return_unburned=True)" + ] + }, + { + "cell_type": "markdown", + "id": "f7c5063d", + "metadata": {}, + "source": [ + "## 배가스 산소 농도 4.5% 연료+공기 혼합 기체 " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "53b2c1b9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " gri30:\n", + "\n", + " temperature 298.15 K\n", + " pressure 1.0133e+05 Pa\n", + " density 1.1869 kg/m^3\n", + " mean mol. weight 29.039 kg/kmol\n", + " phase of matter gas\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -1.5255e+06 -4.43e+07 J\n", + " internal energy -1.6109e+06 -4.6779e+07 J\n", + " entropy 6999.5 2.0326e+05 J/K\n", + " Gibbs function -3.6124e+06 -1.049e+08 J\n", + " heat capacity c_p 1027.5 29837 J/K\n", + " heat capacity c_v 741.17 21523 J/K\n", + "\n", + " mass frac. Y mole frac. X chem. pot. / RT\n", + " --------------- --------------- ---------------\n", + " H2 0.0018679 0.026906 -19.333\n", + " O2 0.1362 0.12361 -26.764\n", + " CH4 0.0041445 0.0075019 -57.401\n", + " CO 0.09803 0.10163 -70.646\n", + " CO2 0.12525 0.082647 -186.95\n", + " C2H4 0.00052635 0.00054483 -12.715\n", + " C2H6 0.00017359 0.00016764 -70.088\n", + " N2 0.6338 0.657 -23.453\n", + " [ +45 minor] 0 0 \n", + "\n" + ] + } + ], + "source": [ + "gas_u = ct.Solution('gri30.xml')\n", + "gas_u.TPX = 25 + 273.15, ct.one_atm, Xu\n", + "gas_u()" + ] + }, + { + "cell_type": "markdown", + "id": "1d54eebc", + "metadata": {}, + "source": [ + "## 배가스 산소 농도 4.5% 완전 연소 배가스" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "a1bc3d15", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " gri30:\n", + "\n", + " temperature 298.15 K\n", + " pressure 1.0132e+05 Pa\n", + " density 1.2684 kg/m^3\n", + " mean mol. weight 31.031 kg/kmol\n", + " phase of matter gas\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -2.9804e+06 -9.2483e+07 J\n", + " internal energy -3.0603e+06 -9.4962e+07 J\n", + " entropy 6565.1 2.0372e+05 J/K\n", + " Gibbs function -4.9377e+06 -1.5322e+08 J\n", + " heat capacity c_p 997.71 30960 J/K\n", + " heat capacity c_v 729.77 22645 J/K\n", + "\n", + " mass frac. Y mole frac. X chem. pot. / RT\n", + " --------------- --------------- ---------------\n", + " O2 0.046403 0.045 -27.775\n", + " H2O 0.026988 0.046486 -123.33\n", + " CO2 0.29281 0.20646 -186.03\n", + " N2 0.6338 0.70206 -23.387\n", + " [ +49 minor] 0 0 \n", + "\n" + ] + } + ], + "source": [ + "gas_b = ct.Solution('gri30.xml')\n", + "gas_b.TPX = 25 + 273.15, ct.one_atm, Xb\n", + "gas_b()" + ] + }, + { + "cell_type": "markdown", + "id": "3e537f99", + "metadata": {}, + "source": [ + "## 배가스 산소 농도 4.5% 혼합 기체 kg 당 저위발열량 (J/kg)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "067ae187", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'1.454846654525596 MJ/kg'" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "heating_value_J_kg = gas_u.enthalpy_mass - gas_b.enthalpy_mass\n", + "f'{heating_value_J_kg*1e-6} MJ/kg'" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "f8713062", + "metadata": {}, + "outputs": [], + "source": [ + "heat_to_battery = 80 # GJ / Rev" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "42f68b81", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'3636.3636363636365 MJ / hr to a combustion chamber'" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "heat_to_chamber = heat_to_battery * 1000 * 3 / 66 # MJ / hr\n", + "f'{heat_to_chamber} MJ / hr to a combustion chamber'" + ] + }, + { + "cell_type": "markdown", + "id": "30be4bfc", + "metadata": {}, + "source": [ + "## 연소실당 질량 유량 kg/hr" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "fd85f6dc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'2499.482419712063 (kg/hr) = 3636.3636363636365 (MJ/hr) / 1.454846654525596 (MJ/kg)'" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mfr_to_chamber = heat_to_chamber * 1e6 / heating_value_J_kg # kg / hr\n", + "f'{mfr_to_chamber} (kg/hr) = {heat_to_chamber} (MJ/hr) / {heating_value_J_kg * 1e-6} (MJ/kg)'" + ] + }, + { + "cell_type": "markdown", + "id": "ed0ec84b", + "metadata": {}, + "source": [ + "# 단열 화염 온도 (평형 계산)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "fa7ef7a2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " gri30:\n", + "\n", + " temperature 1990.3 K\n", + " pressure 1.0133e+05 Pa\n", + " density 0.18983 kg/m^3\n", + " mean mol. weight 31.002 kg/kmol\n", + " phase of matter gas\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -8.933e+05 -2.7694e+07 J\n", + " internal energy -1.4271e+06 -4.4242e+07 J\n", + " entropy 8783.1 2.723e+05 J/K\n", + " Gibbs function -1.8374e+07 -5.6964e+08 J\n", + " heat capacity c_p 1347.2 41767 J/K\n", + " heat capacity c_v 1079 33452 J/K\n", + "\n", + " mass frac. Y mole frac. X chem. pot. / RT\n", + " --------------- --------------- ---------------\n", + " O 6.6906e-05 0.00012965 -15.939\n", + " O2 0.045092 0.043688 -31.879\n", + " OH 0.00048958 0.00089246 -30.541\n", + " H2O 0.026691 0.045932 -45.143\n", + " CO 0.0010791 0.0011944 -41.097\n", + " CO2 0.29111 0.20507 -57.036\n", + " NO 0.0031141 0.0032175 -29.575\n", + " N2 0.63235 0.6998 -27.272\n", + " [ +45 minor] 8.9238e-06 7.3926e-05 \n", + "\n" + ] + } + ], + "source": [ + "gas_chamber = ct.Solution('gri30.xml')\n", + "gas_chamber.TPX = 600 + 273.15, ct.one_atm, Xu\n", + "gas_chamber.equilibrate(\"HP\")\n", + "gas_chamber(threshold=1e-4)\n", + "\n", + "eq_state = gas_chamber.TPX\n", + "\n", + "Tad, P0, X0 = eq_state" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "1d6c95a7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Tad = 1717.118741092177 `C\n" + ] + } + ], + "source": [ + "print(f'Tad = {eq_state[0] - 273.15} `C')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "e437f3b4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NO: 3217.4895678195617 ppm\n" + ] + } + ], + "source": [ + "print(f'NO: {gas_chamber.mole_fraction_dict()[\"NO\"] * 1e6} ppm')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": { + "height": "calc(100% - 180px)", + "left": "10px", + "top": "150px", + "width": "384px" + }, + "toc_section_display": true, + "toc_window_display": true + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/CokeOvenWallTemperature.csv b/CokeOvenWallTemperature.csv new file mode 100644 index 0000000..551af88 --- /dev/null +++ b/CokeOvenWallTemperature.csv @@ -0,0 +1,35 @@ +0.07088009450679156, 948.0069324090119 +0.17720023626698111, 754.4771808203348 +0.2658003544004721, 702.4841132293469 +0.32782043709391573, 673.0213749277873 +0.4075605434140579, 647.0248411322932 +0.4873006497341992, 625.0722125938761 +0.5936207914943878, 605.4303870595029 +0.6999409332545774, 588.0993645291736 +0.8417011222681623, 603.69728480647 +0.9746012994683984, 620.4506065857884 +1.125221500295333, 629.116117850953 +1.3555818074424089, 628.538417099942 +1.5150620200826923, 626.227614095898 +1.6922622563496743, 638.9370306181395 +1.887182516243354, 649.3356441363371 +2.1707028942705247, 658.5788561525128 +2.560543414057884, 673.0213749277873 +3.419964559952745, 701.9064124783359 +4.084465445953927, 720.3928365106872 +4.837566450088599, 739.4569612940495 +6.104548139397516, 766.0311958405543 +6.990549320732426, 781.0514153668398 +8.01831069108092, 796.0716348931252 +9.223272297696397, 811.0918544194105 +10.649734199645575, 826.112073945696 +11.836975782634376, 837.0883882149044 +12.784997046662728, 844.5984979780471 +13.830478440637915, 852.1086077411899 +15.079740106320138, 859.6187175043326 +16.470761961015942, 867.1288272674753 +17.95924394565859, 874.6389370306179 +19.7844063792085, 882.1490467937607 +21.786769049025395, 889.6591565569033 +23.957471943295914, 896.5915655690351 +28.10395747194329, 948.0069324090119 diff --git a/Oven Brick Model Parameters.ipynb b/Oven Brick Model Parameters.ipynb new file mode 100644 index 0000000..d95deb0 --- /dev/null +++ b/Oven Brick Model Parameters.ipynb @@ -0,0 +1,1509 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "9e47daa3", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import cantera as ct\n", + "import pde\n", + "\n", + "import ipywidgets as widgets\n", + "\n", + "from matplotlib import pyplot as plt\n", + "%matplotlib widget" + ] + }, + { + "cell_type": "markdown", + "id": "3164bd16", + "metadata": {}, + "source": [ + "# 연료 조성 반영 입구 조건 계산" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "1ebaaaef", + "metadata": {}, + "outputs": [], + "source": [ + "gas = ct.Solution('gri30.xml')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d03cafb5", + "metadata": {}, + "outputs": [], + "source": [ + "gas.TPX = 600 + 273.15, ct.one_atm, \"H2:6.42, O2:0.39, N2:47.28, CH4:1.79, CO:24.25, CO2:19.72, C2H4:0.13, C2H6:0.04\"\n", + "fuel_comp = gas.X" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "5bddc916", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " gri30:\n", + "\n", + " temperature 873.15 K\n", + " pressure 1.0133e+05 Pa\n", + " density 0.40894 kg/m^3\n", + " mean mol. weight 29.3 kg/kmol\n", + " phase of matter gas\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -2.9427e+06 -8.6222e+07 J\n", + " internal energy -3.1905e+06 -9.3481e+07 J\n", + " entropy 8194.9 2.4011e+05 J/K\n", + " Gibbs function -1.0098e+07 -2.9587e+08 J\n", + " heat capacity c_p 1254.1 36746 J/K\n", + " heat capacity c_v 970.34 28431 J/K\n", + "\n", + " mass frac. Y mole frac. X chem. pot. / RT\n", + " --------------- --------------- ---------------\n", + " H2 0.0044164 0.064187 -19.925\n", + " O2 0.0042583 0.0038992 -31.756\n", + " CH4 0.009799 0.017896 -38.919\n", + " CO 0.23178 0.24245 -41.902\n", + " CO2 0.29614 0.19716 -83.677\n", + " C2H4 0.0012445 0.0012997 -28.665\n", + " C2H6 0.00041043 0.00039992 -50.523\n", + " N2 0.45196 0.47271 -25.262\n", + " [ +45 minor] 0 0 \n", + "\n" + ] + } + ], + "source": [ + "gas()" + ] + }, + { + "cell_type": "markdown", + "id": "40d9a0f9", + "metadata": {}, + "source": [ + "연료 기체 구성비와 같은 원소 1몰의 완전 연소 산소 요구량" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "5cb2f86f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2.2584483103379323\n", + "0.9072176564687062\n" + ] + } + ], + "source": [ + "consider_o_in_fuel = True\n", + "\n", + "coef_O = gas.elemental_mole_fraction('C') * 2 + gas.elemental_mole_fraction('H') / 2 - (gas.elemental_mole_fraction('O') if consider_o_in_fuel else 0)\n", + "\n", + "coef_N = coef_O * 3.762\n", + "\n", + "coef_O + coef_N\n", + "\n", + "# 공기 1몰의 원자 몰수 = 2 ; O2 + N2 만으로 구성되었으면\n", + "\n", + "# 연료 기체 1몰의 원자 몰수\n", + "\n", + "mean_natoms = sum([(gas.X[i] * sum([v for v in gas.species(i).composition.values()])) for i in range(gas.n_species)])\n", + "print(mean_natoms)\n", + "\n", + "# 연료 기체 1몰에 필요한 공기 몰수\n", + "air_fuel_ratio_st = mean_natoms * (coef_N + coef_O) / 2\n", + "print (air_fuel_ratio_st)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bf4af7ee", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " gri30:\n", + "\n", + " temperature 300 K\n", + " pressure 7080.3 Pa\n", + " density 0.081894 kg/m^3\n", + " mean mol. weight 28.851 kg/kmol\n", + " phase of matter gas\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy 1907.6 55036 J\n", + " internal energy -84549 -2.4393e+06 J\n", + " entropy 7658.6 2.2095e+05 J/K\n", + " Gibbs function -2.2957e+06 -6.6231e+07 J\n", + " heat capacity c_p 1010.1 29141 J/K\n", + " heat capacity c_v 721.88 20827 J/K\n", + "\n", + " mass frac. Y mole frac. X chem. pot. / RT\n", + " --------------- --------------- ---------------\n", + " O2 0.2329 0.21 -28.895\n", + " N2 0.7671 0.79 -25.93\n", + " [ +51 minor] 0 0 \n", + "\n", + "\n", + " gri30:\n", + "\n", + " temperature 300 K\n", + " pressure 6971.7 Pa\n", + " density 0.081894 kg/m^3\n", + " mean mol. weight 29.3 kg/kmol\n", + " phase of matter gas\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -3.6049e+06 -1.0562e+08 J\n", + " internal energy -3.6901e+06 -1.0812e+08 J\n", + " entropy 7738.9 2.2675e+05 J/K\n", + " Gibbs function -5.9266e+06 -1.7365e+08 J\n", + " heat capacity c_p 1052.3 30831 J/K\n", + " heat capacity c_v 768.49 22517 J/K\n", + "\n", + " mass frac. Y mole frac. X chem. pot. / RT\n", + " --------------- --------------- ---------------\n", + " H2 0.0044164 0.064187 -21.14\n", + " O2 0.0042583 0.0038992 -32.897\n", + " CH4 0.009799 0.017896 -59.022\n", + " CO 0.23178 0.24245 -72.178\n", + " CO2 0.29614 0.19716 -187.77\n", + " C2H4 0.0012445 0.0012997 -14.653\n", + " C2H6 0.00041043 0.00039992 -71.686\n", + " N2 0.45196 0.47271 -26.459\n", + " [ +45 minor] 0 0 \n", + "\n" + ] + } + ], + "source": [ + "air = ct.Solution('gri30.xml')\n", + "air.X = \"O2:1, N2:3.762\"\n", + "air_comp = air.X\n", + "air()\n", + "\n", + "fuel = ct.Solution('gri30.xml')\n", + "fuel.X = \"H2:6.42, O2:0.39, N2:47.28, CH4:1.79, CO:24.25, CO2:19.72, C2H4:0.13, C2H6:0.04\"\n", + "fuel_comp = fuel.X\n", + "fuel()" + ] + }, + { + "cell_type": "markdown", + "id": "4b1f191f", + "metadata": {}, + "source": [ + "# 이론공연비 계산" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "60f9c29b", + "metadata": {}, + "outputs": [], + "source": [ + "def stoich_AF (fuel_compostion, mole_fraction=True):\n", + " \"Stoichiometric Air/Fuel ratio (volume)\"\n", + " \n", + " gas = ct.Solution('gri30.xml')\n", + "\n", + " if mole_fraction:\n", + " gas.TPX = 600 + 273.15, ct.one_atm, fuel_compostion\n", + " else:\n", + " gas.TPY = 600 + 273.15, ct.one_atm, fuel_compostion\n", + " \n", + " fuel_comp = gas.X\n", + "\n", + " # 연료의 원자 1 몰 완전 연소에 필요한 산소 원자 몰 수\n", + " coef_O = gas.elemental_mole_fraction('C') * 2 + gas.elemental_mole_fraction('H') / 2 - (gas.elemental_mole_fraction('O'))\n", + "\n", + " # 연료의 원자 1 몰 완전 연소에 필요한 공기 원자 몰 수 = 산소 원자 몰 수 X (1 + 3.762)\n", + " coef_N = coef_O * 3.762\n", + "\n", + " # 공기 1몰의 원자 몰수 = 2 ; O2 + N2 만으로 구성되었으면\n", + " mean_natoms_air = 2\n", + "\n", + " # 연료 기체 1몰의 원자 몰수 (평균 분자당 원자 수)\n", + " mean_natoms_fuel = sum([(gas.X[i] * sum([v for v in gas.species(i).composition.values()])) for i in range(gas.n_species)])\n", + "\n", + " # 연료 기체 1몰에 필요한 공기 몰수 ()\n", + " air_fuel_ratio_st = mean_natoms_fuel * (coef_N + coef_O) / mean_natoms_air\n", + "\n", + " return (air_fuel_ratio_st)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "c633e758", + "metadata": {}, + "outputs": [], + "source": [ + "coke_oven_fuel = \"H2:6.42, O2:0.39, N2:47.28, CH4:1.79, CO:24.25, CO2:19.72, C2H4:0.13, C2H6:0.04\"" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "d489bdf1", + "metadata": {}, + "outputs": [], + "source": [ + "st_AF = stoich_AF(coke_oven_fuel)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "825758e1", + "metadata": {}, + "outputs": [], + "source": [ + "air = ct.Solution('gri30.xml')" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "99dbfd30", + "metadata": {}, + "outputs": [], + "source": [ + "air.X = \"O2:1, N2:3.762\"\n", + "air_comp = air.X" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "7e1a5975", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1506.856765604754\n", + "\n", + " gri30:\n", + "\n", + " temperature 1780 K\n", + " pressure 1.0133e+05 Pa\n", + " density 0.21633 kg/m^3\n", + " mean mol. weight 31.597 kg/kmol\n", + " phase of matter gas\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -1.9051e+06 -6.0194e+07 J\n", + " internal energy -2.3734e+06 -7.4994e+07 J\n", + " entropy 8525 2.6936e+05 J/K\n", + " Gibbs function -1.708e+07 -5.3966e+08 J\n", + " heat capacity c_p 1351.2 42694 J/K\n", + " heat capacity c_v 1088.1 34380 J/K\n", + "\n", + " mass frac. Y mole frac. X chem. pot. / RT\n", + " --------------- --------------- ---------------\n", + " H2 6.2424e-06 9.7839e-05 -28.347\n", + " H 9.5406e-08 2.9906e-06 -14.173\n", + " O 1.3675e-06 2.7007e-06 -17.795\n", + " O2 0.00073214 0.00072297 -35.589\n", + " OH 6.1066e-05 0.00011345 -31.968\n", + " H2O 0.033613 0.058955 -46.141\n", + " HO2 1.1974e-08 1.1463e-08 -49.763\n", + " H2O2 1.4101e-09 1.3099e-09 -63.936\n", + " CO 0.0014344 0.0016181 -41.208\n", + " CO2 0.3634 0.26091 -59.003\n", + " HCO 2.8143e-12 3.0644e-12 -55.381\n", + " CH2O 6.3467e-14 6.6788e-14 -69.555\n", + " N 9.3579e-12 2.111e-11 -13.467\n", + " NH 1.4448e-12 3.0404e-12 -27.64\n", + " NH2 1.006e-12 1.9838e-12 -41.814\n", + " NH3 1.3308e-11 2.469e-11 -55.987\n", + " NNH 3.8031e-12 4.1406e-12 -41.107\n", + " NO 0.00020133 0.000212 -31.262\n", + " NO2 4.7618e-08 3.2705e-08 -49.056\n", + " N2O 1.5885e-08 1.1404e-08 -44.729\n", + " HNO 5.0425e-10 5.1373e-10 -45.435\n", + " HCN 4.3708e-14 5.1101e-14 -51.054\n", + " HNCO 1.5701e-11 1.153e-11 -68.848\n", + " NCO 1.2119e-13 9.1136e-14 -54.675\n", + " N2 0.60055 0.67737 -26.934\n", + " [ +28 minor] 1.1611e-14 8.5342e-15 \n", + "\n" + ] + } + ], + "source": [ + "phi = 1\n", + "\n", + "mix = ct.Solution('gri30.xml')\n", + "\n", + "mix.TPX = 25+273.15, ct.one_atm, phi * fuel_comp + st_AF * air_comp\n", + "\n", + "mix.equilibrate('HP')\n", + "\n", + "print(mix.T - 273.15)\n", + "mix()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "a20ce147", + "metadata": {}, + "outputs": [], + "source": [ + "def exhaust_stoichiometry (phi = 1, return_unburned=False):\n", + "\n", + " mix = ct.Solution('gri30.xml')\n", + "\n", + " mix.TPX = 25+273.15, ct.one_atm, phi * fuel_comp + st_AF * air_comp\n", + " \n", + " element_X = {ename: mix.elemental_mole_fraction(ename) for ename in mix.element_names}\n", + " \n", + " exhaust = ct.Solution('gri30.xml')\n", + " exhaust.X = {\n", + " \"CO2\" : element_X['C'],\n", + " \"H2O\" : element_X['H']/2,\n", + " \"O2\" : (element_X['O'] - 2*element_X['C'] - element_X['H']/2)/2,\n", + " \"N2\" : element_X['N']/2,\n", + " }\n", + " \n", + " if return_unburned:\n", + " return mix.mole_fraction_dict(threshold=-1), exhaust.mole_fraction_dict(threshold=-1)\n", + " else:\n", + " return exhaust.mole_fraction_dict(threshold=-1)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "c49236bf", + "metadata": {}, + "outputs": [], + "source": [ + "from scipy import optimize as opt" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "4e5bd0e1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " converged: True\n", + " flag: 'converged'\n", + " function_calls: 8\n", + " iterations: 7\n", + " root: 0.6547375739201831\n" + ] + } + ], + "source": [ + "f_found = opt.root_scalar(lambda x: exhaust_stoichiometry(x)[\"O2\"] - 0.045, \n", + " bracket=[1e-300, 1])\n", + "\n", + "print(f_found)\n", + "\n", + "phi_O2_045 = f_found.root" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "c3d58dd5", + "metadata": {}, + "outputs": [], + "source": [ + "def exhaust_equilibrium (phi = 1):\n", + "\n", + " mix = ct.Solution('gri30.xml')\n", + "\n", + " mix.TPX = 25+273.15, ct.one_atm, phi * fuel_comp + st_AF * air_comp\n", + " \n", + " mix.equilibrate(\"HP\")\n", + " \n", + " return mix.mole_fraction_dict(threshold=-1)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "dc4ca92f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + " converged: True\n", + " flag: 'converged'\n", + " function_calls: 8\n", + " iterations: 7\n", + " root: 0.6526852820518209" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "f_found = opt.root_scalar(lambda x: exhaust_equilibrium(x)[\"O2\"] - 0.045, \n", + " bracket=[0.5, 1])\n", + "\n", + "f_found" + ] + }, + { + "cell_type": "markdown", + "id": "4c6c962f", + "metadata": {}, + "source": [ + "# 발열량 계산" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "2f732468", + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "Xu, Xb = exhaust_stoichiometry(phi=phi_O2_045, return_unburned=True)" + ] + }, + { + "cell_type": "markdown", + "id": "f7c5063d", + "metadata": {}, + "source": [ + "## 배가스 산소 농도 4.5% 연료+공기 혼합 기체 " + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "53b2c1b9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " gri30:\n", + "\n", + " temperature 298.15 K\n", + " pressure 1.0133e+05 Pa\n", + " density 1.1869 kg/m^3\n", + " mean mol. weight 29.039 kg/kmol\n", + " phase of matter gas\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -1.5255e+06 -4.4299e+07 J\n", + " internal energy -1.6109e+06 -4.6778e+07 J\n", + " entropy 6999.5 2.0326e+05 J/K\n", + " Gibbs function -3.6124e+06 -1.049e+08 J\n", + " heat capacity c_p 1027.5 29837 J/K\n", + " heat capacity c_v 741.17 21523 J/K\n", + "\n", + " mass frac. Y mole frac. X chem. pot. / RT\n", + " --------------- --------------- ---------------\n", + " H2 0.0018679 0.026906 -19.333\n", + " O2 0.1362 0.1236 -26.764\n", + " CH4 0.0041445 0.0075018 -57.401\n", + " CO 0.098029 0.10163 -70.646\n", + " CO2 0.12525 0.082645 -186.95\n", + " C2H4 0.00052634 0.00054482 -12.715\n", + " C2H6 0.00017359 0.00016764 -70.088\n", + " N2 0.63381 0.657 -23.453\n", + " [ +45 minor] 0 0 \n", + "\n" + ] + } + ], + "source": [ + "gas_u = ct.Solution('gri30.xml')\n", + "gas_u.TPX = 25 + 273.15, ct.one_atm, Xu\n", + "gas_u()" + ] + }, + { + "cell_type": "markdown", + "id": "1d54eebc", + "metadata": {}, + "source": [ + "## 배가스 산소 농도 4.5% 완전 연소 배가스" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "a1bc3d15", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " gri30:\n", + "\n", + " temperature 298.15 K\n", + " pressure 1.0133e+05 Pa\n", + " density 1.2684 kg/m^3\n", + " mean mol. weight 31.031 kg/kmol\n", + " phase of matter gas\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -2.9803e+06 -9.2481e+07 J\n", + " internal energy -3.0602e+06 -9.496e+07 J\n", + " entropy 6565.1 2.0372e+05 J/K\n", + " Gibbs function -4.9377e+06 -1.5322e+08 J\n", + " heat capacity c_p 997.71 30960 J/K\n", + " heat capacity c_v 729.77 22645 J/K\n", + "\n", + " mass frac. Y mole frac. X chem. pot. / RT\n", + " --------------- --------------- ---------------\n", + " O2 0.046403 0.045 -27.775\n", + " H2O 0.026987 0.046486 -123.33\n", + " CO2 0.2928 0.20645 -186.03\n", + " N2 0.63381 0.70206 -23.387\n", + " [ +49 minor] 0 0 \n", + "\n" + ] + } + ], + "source": [ + "gas_b = ct.Solution('gri30.xml')\n", + "gas_b.TPX = 25 + 273.15, ct.one_atm, Xb\n", + "gas_b()" + ] + }, + { + "cell_type": "markdown", + "id": "3e537f99", + "metadata": {}, + "source": [ + "## 배가스 산소 농도 4.5% 혼합 기체 kg 당 저위발열량 (J/kg)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "067ae187", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'1.454825772118082 MJ/kg'" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "heating_value_J_kg = gas_u.enthalpy_mass - gas_b.enthalpy_mass\n", + "f'{heating_value_J_kg*1e-6} MJ/kg'" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "f8713062", + "metadata": {}, + "outputs": [], + "source": [ + "heat_to_battery = 80 # GJ / Rev" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "42f68b81", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'3636.3636363636365 MJ / hr to a combustion chamber'" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "heat_to_chamber = heat_to_battery * 1000 * 3 / 66 # MJ / hr\n", + "f'{heat_to_chamber} MJ / hr to a combustion chamber'" + ] + }, + { + "cell_type": "markdown", + "id": "30be4bfc", + "metadata": {}, + "source": [ + "## 연소실당 질량 유량 kg/hr" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "fd85f6dc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'2499.5182970050437 (kg/hr) = 3636.3636363636365 (MJ/hr) / 1.454825772118082 (MJ/kg)'" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mfr_to_chamber = heat_to_chamber * 1e6 / heating_value_J_kg # kg / hr\n", + "f'{mfr_to_chamber} (kg/hr) = {heat_to_chamber} (MJ/hr) / {heating_value_J_kg * 1e-6} (MJ/kg)'" + ] + }, + { + "cell_type": "markdown", + "id": "ed0ec84b", + "metadata": {}, + "source": [ + "# 단열 화염 온도 (평형 계산)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "fa7ef7a2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " gri30:\n", + "\n", + " temperature 1990.3 K\n", + " pressure 1.0133e+05 Pa\n", + " density 0.18983 kg/m^3\n", + " mean mol. weight 31.002 kg/kmol\n", + " phase of matter gas\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -8.9328e+05 -2.7694e+07 J\n", + " internal energy -1.427e+06 -4.4241e+07 J\n", + " entropy 8783.1 2.7229e+05 J/K\n", + " Gibbs function -1.8374e+07 -5.6963e+08 J\n", + " heat capacity c_p 1347.2 41767 J/K\n", + " heat capacity c_v 1079 33452 J/K\n", + "\n", + " mass frac. Y mole frac. X chem. pot. / RT\n", + " --------------- --------------- ---------------\n", + " O 6.69e-05 0.00012964 -15.939\n", + " O2 0.045092 0.043688 -31.879\n", + " OH 0.00048954 0.00089239 -30.541\n", + " H2O 0.02669 0.045932 -45.143\n", + " CO 0.001079 0.0011942 -41.097\n", + " CO2 0.29111 0.20507 -57.036\n", + " NO 0.003114 0.0032174 -29.575\n", + " N2 0.63235 0.6998 -27.272\n", + " [ +45 minor] 8.9232e-06 7.3917e-05 \n", + "\n" + ] + } + ], + "source": [ + "gas_chamber = ct.Solution('gri30.xml')\n", + "gas_chamber.TPX = 600 + 273.15, ct.one_atm, Xu\n", + "gas_chamber.equilibrate(\"HP\")\n", + "gas_chamber(threshold=1e-4)\n", + "\n", + "eq_state = gas_chamber.TPX\n", + "\n", + "Tad, P0, X0 = eq_state" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "1d6c95a7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Tad = 1717.1055126606984 `C\n" + ] + } + ], + "source": [ + "print(f'Tad = {eq_state[0] - 273.15} `C')" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "e437f3b4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NO: 3217.3809731942233 ppm\n" + ] + } + ], + "source": [ + "print(f'NO: {gas_chamber.mole_fraction_dict()[\"NO\"] * 1e6} ppm')" + ] + }, + { + "cell_type": "markdown", + "id": "a52e7ccf", + "metadata": {}, + "source": [ + "# 연소실 평형 온도" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "683e1479", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "564968.6851296029 1057170.3471485006\n", + "258568.46996560355\n", + "239.0022179980857 1363443.6972422504\n", + "-612434.5630397515\n", + "400326.765370211 1148091.5363109885\n", + "3005.361043723591\n", + "398382.53608438675 1149155.5265008416\n", + "-2.858431953645777\n", + "398384.3836843984 1149154.51548965\n", + "0.000179249735083431\n", + "398384.3835685452 1149154.5155530453\n", + "8.731149137020111e-10\n", + "398384.38356854365 1149154.515553046\n", + "-1.6298145055770874e-09\n", + "496.511875 converged: True\n", + " flag: 'converged'\n", + " function_calls: 7\n", + " iterations: 6\n", + " root: 1558.4107622013973\n", + "Outlet Gas Temperature: 1285.2607622013975 `C\n" + ] + } + ], + "source": [ + "htc = 568 # W / m2 / K\n", + "\n", + "Twall0 = 1100 + 273.15\n", + "Twall1 = 1100 + 273.15\n", + "\n", + "area_chamber_wall = 6.7 * 16.7\n", + "\n", + "htcA = htc * area_chamber_wall / 2 / 2 / 2 / 2 / 2 / 2 / 2# W / K\n", + "\n", + "def chamber_energy_balance (Tout, hA, Twall0, Twall1):\n", + " \n", + " gas_chamber.TPX = eq_state\n", + " h0 = gas_chamber.enthalpy_mass\n", + " \n", + " gas_chamber.TP = Tout, gas_chamber.P\n", + " h1 = gas_chamber.enthalpy_mass\n", + " \n", + " '''print(h0 - h1, \n", + " mfr_to_chamber/3600 * (h0 - h1) - htc * area_chamber_wall * (((eq_state[0] - Tout)/2 - Twall0) + ((eq_state[0] - Tout)/2 - Twall1))\n", + ")'''\n", + " \n", + " print (mfr_to_chamber/3600 * (h0 - h1), \n", + " - hA * (((eq_state[0] - Tout)/2 - Twall0) + ((eq_state[0] - Tout)/2 - Twall1)))\n", + " \n", + " print (mfr_to_chamber/3600 * (h0 - h1) \n", + " - hA * (((eq_state[0] + Tout)/2 - Twall0) + ((eq_state[0] + Tout)/2 - Twall1)))\n", + "\n", + " return (mfr_to_chamber/3600 * (h0 - h1) \n", + " - hA * (((eq_state[0] + Tout)/2 - Twall0) + ((eq_state[0] + Tout)/2 - Twall1)))\n", + "\n", + "f_found = opt.root_scalar(lambda x: chamber_energy_balance(x, htcA, Twall0, Twall1),\n", + " bracket=[min(Twall0, Twall1), 1990])\n", + "\n", + "print(htcA, f_found)\n", + "\n", + "\n", + "print(f'Outlet Gas Temperature: {f_found.root - 273.15} `C')" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "badfe727", + "metadata": {}, + "outputs": [], + "source": [ + "class CombustionChamber:\n", + " def __init__ (self, mdot, T0, P0, X0, hA=600):\n", + " self.mdot = mdot # kg/s\n", + " self.T_preheat = T0 # K, preheat temperature\n", + " self.P0 = P0 # Pa, pressure\n", + " self.X0 = X0 # Composition in mole fractions, Fuel + Air\n", + " self.gas = ct.Solution(\"gri30.xml\") # gas object\n", + " self.gas.TPX = T0, P0, X0\n", + " self.gas.equilibrate('HP')\n", + " self.eq_state = self.gas.TPX\n", + " self.h0 = self.gas.enthalpy_mass # inlet enthalpy\n", + " self.T0 = self.gas.T # K, adiabatic flame temperature\n", + " self.hA = hA # HTC x Area\n", + " self.Twall0 = 1100 + 273.15 \n", + " self.Twall1 = 1100 + 273.15\n", + " \n", + " def update_mdot (self, mdot_new):\n", + " self.mdot = mdot_new\n", + "\n", + " def update_Twall (self, Twall0=None, Twall1=None):\n", + " if Twall0: self.Twall0 = Twall0\n", + " if Twall1: self.Twall1 = Twall1\n", + "\n", + " def energy_balance_equation (Tout, Twall0, Twall1):\n", + " # mdot * (dh) - self.heat()\n", + "\n", + " self.gas.TP = Tout, gas_chamber.P\n", + " h1 = self.gas.enthalpy_mass\n", + " Tgas = (self.T0 + Tout)/2\n", + "\n", + " print (self.mdot * (h0 - h1) - self.hA * ((Tgas - Twall0) + (Tgas - Twall1)))\n", + "\n", + " return (self.mdot * (h0 - h1) - self.hA * ((Tgas - Twall0) + (Tgas - Twall1)))\n", + "\n", + " def solve (self, ):\n", + " f_found = opt.root_scalar(lambda x: chamber_energy_balance(x, htcA, Twall0, Twall1),\n", + " bracket=[max(Twall0, Twall1), 1990])\n", + "\n", + " def heat (self, Tgas, Twall0, Twall1):\n", + " # Tgas = (T0 + T1) / 2\n", + " # heat_to_Twall0 + heat_to_Twall1\n", + " pass" + ] + }, + { + "cell_type": "markdown", + "id": "60c37bac", + "metadata": {}, + "source": [ + "chamber = CombustionChamber()\n", + "wall0 = Brick()\n", + "wall1 = Brick()\n", + "\"# Iterate\"\n", + "\"# Integrate for 1 timestep\"\n", + "chamber.solve()\n", + "\n", + "wall0.heat_to_coke()\n", + "wall1.heat_to_coke()\n", + "\n", + "wall0.update_coke_side() coke_model.brick_temperature(cum_heat)\n", + "wall1.update_coke_side() coke_model.brick_temperature(cum_heat)\n", + " \n", + "wall0.solve() # advance 1 timestep\n", + "wall1.solve() # advance 1 timestep\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "1470c1e2", + "metadata": {}, + "source": [ + "# 공급 열량 오더 추정" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "858a862e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "346.5 Mcal / ton\n" + ] + } + ], + "source": [ + "# 50'C 장입탄 1 톤을 1100'C 코크스로 건류시키기 위해 필요한 열량\n", + "heat_coking_mcal_per_ton = (1100 - 50) * 0.33 # Mcal / t-c\n", + "print(f'{heat_coking_mcal_per_ton} Mcal / ton')" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "d9a3443d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "925.2 Mcal / ton\n" + ] + } + ], + "source": [ + "# 50`C 물 1톤을 800`C 수증기로 증발하는데 필요한 열량\n", + "# 액체 가열 + 증발 + 증기 가열\n", + "heat_evap_mcal_per_ton = 1 * (100 - 50) + 539.2 + 0.48*(800-100)\n", + "heat_evap_mcal_per_ton\n", + "print(f'{heat_evap_mcal_per_ton} Mcal / ton')" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "bc35e30a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "90.223776 GJ / charge\n" + ] + } + ], + "source": [ + "# 1~4 기 장입 습탄 34 톤 중 수분 5.9% (2 톤) 제외 건탄 32 톤\n", + "# 1 문당 장입에서 추출까지 필요한 열량\n", + "heat_total_mcal = 32 * heat_coking_mcal_per_ton + 2 * heat_evap_mcal_per_ton # Mcal\n", + "heat_total_gj = heat_total_mcal / 1000 * 4.184 / 0.6 # GJ\n", + "print(f'{heat_total_gj} GJ / charge')" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "c5a556cd", + "metadata": {}, + "outputs": [], + "source": [ + "# 1 문에 시간당 공급되는 " + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "2b8e5d35", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "59.4 rev / charge\n" + ] + } + ], + "source": [ + "# 건류 시간 동안 rev 횟수\n", + "n_rev_total = 3 * 24 * 66 / 80\n", + "\n", + "n_rev_total\n", + "print(f'{n_rev_total} rev / charge')" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "9e3eee55", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'100.24864 GJ / rev'" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 66 문에 rev 당 공급되는 열량\n", + "f'{66 * heat_total_gj / n_rev_total} GJ / rev'" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "4ae27703", + "metadata": {}, + "outputs": [], + "source": [ + "# 80 GJ/rev 는 모든 문에 공급되는 열량이 맞다" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "d552c14d", + "metadata": {}, + "outputs": [], + "source": [ + "water = ct.Water()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "c4d73576", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + ".WaterWithTransport at 0x1d30a92ef60>" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "water" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "4c82456a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " water:\n", + "\n", + " temperature 313.15 K\n", + " pressure 1.0132e+05 Pa\n", + " density 992.27 kg/m^3\n", + " mean mol. weight 18.016 kg/kmol\n", + " vapor fraction 0\n", + " phase of matter liquid\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -1.5803e+07 -2.8471e+08 J\n", + " internal energy -1.5803e+07 -2.8471e+08 J\n", + " entropy 4092.4 73728 J/K\n", + " Gibbs function -1.7085e+07 -3.078e+08 J\n", + " heat capacity c_p 4175.6 75228 J/K\n", + " heat capacity c_v 4067.9 73288 J/K\n", + "\n" + ] + } + ], + "source": [ + "water.TP = 40 + 273.15, ct.one_atm\n", + "\n", + "water()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "9dd982a4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " water:\n", + "\n", + " temperature 313.15 K\n", + " pressure 7367.2 Pa\n", + " density 0.051107 kg/m^3\n", + " mean mol. weight 18.016 kg/kmol\n", + " vapor fraction 1\n", + " phase of matter liquid-gas-mix\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -1.3397e+07 -2.4135e+08 J\n", + " internal energy -1.3541e+07 -2.4395e+08 J\n", + " entropy 11778 2.1219e+05 J/K\n", + " Gibbs function -1.7085e+07 -3.078e+08 J\n", + " heat capacity c_p 1884.7 33955 J/K\n", + " heat capacity c_v 1414.4 25481 J/K\n", + "\n" + ] + } + ], + "source": [ + "water.TQ = 40 + 273.15, 1\n", + "h_vapor = water.enthalpy_mass\n", + "water()" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "70b5436f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " water:\n", + "\n", + " temperature 313.15 K\n", + " pressure 7367.2 Pa\n", + " density 992.23 kg/m^3\n", + " mean mol. weight 18.016 kg/kmol\n", + " vapor fraction 0\n", + " phase of matter liquid-gas-mix\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -1.5803e+07 -2.8471e+08 J\n", + " internal energy -1.5803e+07 -2.8471e+08 J\n", + " entropy 4092.4 73729 J/K\n", + " Gibbs function -1.7085e+07 -3.078e+08 J\n", + " heat capacity c_p 4176.1 75236 J/K\n", + " heat capacity c_v 4067.9 73287 J/K\n", + "\n" + ] + } + ], + "source": [ + "water.TQ = 40 + 273.15, 0\n", + "h_water = water.enthalpy_mass\n", + "water()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "1c18625b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2406727.679574404" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "h_vapor - h_water" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "17f8781a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " water:\n", + "\n", + " temperature 282.88 K\n", + " pressure 1.0133e+05 Pa\n", + " density 999.71 kg/m^3\n", + " mean mol. weight 18.016 kg/kmol\n", + " vapor fraction 0\n", + " phase of matter liquid\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -1.593e+07 -2.8699e+08 J\n", + " internal energy -1.593e+07 -2.8699e+08 J\n", + " entropy 3667 66064 J/K\n", + " Gibbs function -1.6967e+07 -3.0568e+08 J\n", + " heat capacity c_p 4201.1 75688 J/K\n", + " heat capacity c_v 4197.7 75626 J/K\n", + "\n" + ] + } + ], + "source": [ + "water.TP = 40+273.15, ct.one_atm\n", + "h0 = water.enthalpy_mass\n", + "water.HP = h0 - (h_vapor - h_water) * 5 / 95, ct.one_atm\n", + "water()" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "f4e62efb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " water:\n", + "\n", + " temperature 338.15 K\n", + " pressure 24986 Pa\n", + " density 0.16107 kg/m^3\n", + " mean mol. weight 18.016 kg/kmol\n", + " vapor fraction 1\n", + " phase of matter liquid-gas-mix\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -1.3353e+07 -2.4056e+08 J\n", + " internal energy -1.3508e+07 -2.4335e+08 J\n", + " entropy 11352 2.0451e+05 J/K\n", + " Gibbs function -1.7191e+07 -3.0972e+08 J\n", + " heat capacity c_p 1926.9 34715 J/K\n", + " heat capacity c_v 1443.6 26008 J/K\n", + "\n" + ] + } + ], + "source": [ + "water.TQ = 65 + 273.15, 1\n", + "water()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "54881653", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.8110541903465941" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "20 / (24986 / ct.one_atm * 100)" + ] + }, + { + "cell_type": "markdown", + "id": "20389a41", + "metadata": {}, + "source": [ + "# Oven Dimension" + ] + }, + { + "cell_type": "markdown", + "id": "31ce464b", + "metadata": {}, + "source": [ + "## 1~4 Coke Ovens" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "94eac653", + "metadata": {}, + "outputs": [], + "source": [ + "oven_height = 6.7 # m\n", + "oven_width_mid = 0.450 # m\n", + "oven_width_pusher = 0.412 # m\n", + "oven_width_coke = 0.488 # m" + ] + }, + { + "cell_type": "markdown", + "id": "b072182b", + "metadata": {}, + "source": [ + "# Oven Wall Temperature" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "87510579", + "metadata": {}, + "outputs": [], + "source": [ + "Twall_model = np.loadtxt(\"./CokeOvenWallTemperature.csv\", delimiter=',')" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "b0f627f1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "27adc246a2cb4614a3ad533207b71595", + "version_major": 2, + "version_minor": 0 + }, + "image/png": 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", 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Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": { + "height": "calc(100% - 180px)", + "left": "10px", + "top": "150px", + "width": "384px" + }, + "toc_section_display": true, + "toc_window_display": true + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Oven Brick Model.ipynb b/Oven Brick Model.ipynb index b145408..e10aebd 100644 --- a/Oven Brick Model.ipynb +++ b/Oven Brick Model.ipynb @@ -50,7 +50,7 @@ "ascii": false, "bar_format": null, "colour": null, - "elapsed": 0.010970354080200195, + "elapsed": 0.00999903678894043, "initial": 0, "n": 0, "ncols": null, @@ -64,7 +64,7 @@ "unit_scale": false }, "application/vnd.jupyter.widget-view+json": { - "model_id": "262d7ea3224b47839610f8c7eb85e029", + "model_id": "aad8176cab8d48de944a688aab1ccffa", "version_major": 2, "version_minor": 0 }, @@ -92,7 +92,7 @@ "ascii": false, "bar_format": null, "colour": null, - "elapsed": 0.011125802993774414, + "elapsed": 0.012967586517333984, "initial": 0, "n": 0, "ncols": null, @@ -106,7 +106,7 @@ "unit_scale": false }, "application/vnd.jupyter.widget-view+json": { - "model_id": "d48c343234884a64854bec42cddaeeff", + "model_id": "3fba3902e57c48f781d7b7047b32e611", "version_major": 2, "version_minor": 0 }, @@ -120,7 +120,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f517070ed2f3435e9a7ca029dc1a9581", + "model_id": "29c662f4acb64118b71b289175efb823", "version_major": 2, "version_minor": 0 }, @@ -163,373 +163,6 @@ "print(solution.gradient(bc=[{\"derivative\": 1}, {\"value\": 0}]).data)" ] }, - { - "cell_type": "markdown", - "id": "c20ac3d8", - "metadata": {}, - "source": [ - "# Heat diffusion equation with Coke Oven Brick Properties" - ] - }, - { - "cell_type": "markdown", - "id": "fcd17e59", - "metadata": {}, - "source": [ - "## For constant $k$, $C_p$" - ] - }, - { - "cell_type": "markdown", - "id": "e87a0bbf", - "metadata": {}, - "source": [ - "$$\n", - "\\partial_t T = \\alpha \\Delta T\n", - "$$" - ] - }, - { - "cell_type": "markdown", - "id": "116d5038", - "metadata": {}, - "source": [ - "$$\n", - "\\partial_t T = \\frac{k}{\\rho C_p} \\Delta T\n", - "$$" - ] - }, - { - "cell_type": "markdown", - "id": "dc87d038", - "metadata": {}, - "source": [ - "## For varying $k$, $C_p$" - ] - }, - { - "cell_type": "markdown", - "id": "d8d70c8f", - "metadata": {}, - "source": [ - "$$\n", - "\\partial_t T = \\frac{1}{\\rho C_p} \\nabla \\cdot \\left( k \\nabla T \\right)\n", - "$$" - ] - }, - { - "cell_type": "markdown", - "id": "f9ed2160", - "metadata": {}, - "source": [ - "$$\n", - "\\partial_t T = \\frac{1}{\\rho C_p} \\left(\\nabla k \\cdot \\nabla T + k \\nabla^2 T \\right)\n", - "$$" - ] - }, - { - "cell_type": "markdown", - "id": "511804d4", - "metadata": {}, - "source": [ - "$$\n", - "k = c_1 T + c_0\n", - "$$\n", - "\n", - "$$\n", - "\\nabla k = c_1 \\nabla T\n", - "$$" - ] - }, - { - "cell_type": "markdown", - "id": "ab5e4123", - "metadata": {}, - "source": [ - "$$\n", - "C_p = d_1 T + d_0\n", - "$$" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "5a43dfeb", - "metadata": {}, - "outputs": [], - "source": [ - "class CokeOvenBrickHeatEqn(pde.PDEBase):\n", - " \"\"\"Implementation of the Heat equation\"\"\"\n", - "\n", - " def __init__ (self, bc=\"auto_periodic_neumann\"):\n", - " self.bc = bc\n", - " self.rho = 1900 # kg / m3\n", - " self.kCoef0 = 0.93 # W / m / K\n", - " self.kCoef1 = 0.698e-3 # W / m / K2\n", - " self.cpCoef0 = 837.2 # J / kg / K\n", - " self.cpCoef1 = 251.2e-3 # J / kg / K2\n", - "\n", - " def k (self, T):\n", - " return T * kCoef1 + kCoef0 \n", - " \n", - " def cp (self, T):\n", - " return T * cpCoef1 + cpCoef0\n", - " \n", - " def update_bc (self, gradT_chamber=None, T_oven=None):\n", - " bc0, bc1 = self.bc\n", - " if gradT_chamber:\n", - " self.bc[0] = {\"derivative\": gradT_chamber} \n", - " if T_oven:\n", - " self.bc[1] = {\"value\": T_oven}\n", - "\n", - " def evolution_rate(self, state, t=0):\n", - " \"\"\"implement the python version of the evolution equation\"\"\"\n", - " state_lap = state.laplace(bc=self.bc)\n", - " state_grad = state.gradient(bc=self.bc)\n", - " \n", - " k = self.kCoef1 * state + self.kCoef0\n", - " cp = self.cpCoef1 * state + self.cpCoef0\n", - " \n", - " k_grad = self.kCoef1 * state_grad\n", - " \n", - " return (state_grad.dot(k_grad) + k * state_lap) / self.rho / cp\n" - ] - }, - { - "cell_type": "markdown", - "id": "cd2e51d5", - "metadata": {}, - "source": [ - "## Test run parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "8f2a53b4", - "metadata": {}, - "outputs": [], - "source": [ - "T0 = 800 + 273.15\n", - "simulation_time = 24 * 60 * 60 # 24 hours in seconds\n", - "dt = 1 # timestep 1 second\n", - "bc_update_period = 60 # update bc every 60 seconds\n", - "brick_thickness = 0.14 # m\n", - "n_grid_brick = 32\n", - "\n", - "grid = pde.CartesianGrid([[0, brick_thickness]], n_grid_brick, periodic=False)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "d28a0363", - "metadata": {}, - "outputs": [], - "source": [ - "# Initial Condition\n", - "# Brick Temperature\n", - "field = pde.ScalarField(grid, T0)\n", - "# BC-0: Heat Flux from chamber to wall\n", - "\n", - "# BC-1: Oven side brick temperature\n", - "\n", - "\n", - "eq = CokeOvenBrickHeatEqn(bc=[{\"derivative\": 100}, {\"value\": T0}])" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "00b419af", - "metadata": {}, - "outputs": [], - "source": [ - "times = np.arange(0, simulation_time, dt)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "cefd8ba3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'interactive': pde.trackers.interactive.InteractivePlotTracker,\n", - " 'progress': pde.trackers.trackers.ProgressTracker,\n", - " 'print': pde.trackers.trackers.PrintTracker,\n", - " 'plot': pde.trackers.trackers.LivePlotTracker,\n", - " 'steady_state': pde.trackers.trackers.SteadyStateTracker,\n", - " 'consistency': pde.trackers.trackers.ConsistencyTracker,\n", - " 'material_conservation': pde.trackers.trackers.MaterialConservationTracker}" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pde.get_named_trackers()" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "7ad5a41a", - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "solutions = [field]\n", - "for i, t in enumerate(times[::60]):\n", - " solution = eq.solve(solutions[-1], t_range=60, dt=1, tracker='consistency')\n", - " solutions.append(solution)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "ecd3d85f", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "21fea4f31e9e451584b47c841f5e6ceb", - "version_major": 2, - "version_minor": 0 - }, - "image/png": 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" 1081.71418804, 1081.27571364, 1080.83716332, 1080.39853688,\n", - " 1079.95983413, 1079.52105485, 1079.08219883, 1078.64326586,\n", - " 1078.2042557 , 1077.76516811, 1077.32600286, 1076.88675969,\n", - " 1076.44743836, 1076.0080386 , 1075.56856015, 1075.12900274,\n", - " 1074.68936611, 1074.24964999, 1073.80985409, 1073.36997814])" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sln.data" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "868e60e7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1073.15" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sln.get_boundary_values(axis=0, upper=True, bc=eq.bc)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "aa06579f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "32" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sln.data.size" - ] - }, - { - "cell_type": "markdown", - "id": "36ddf849", - "metadata": {}, - "source": [ - "solution = eq.solve(solution, t_range=10000, dt=0.01)\n", - "solution.plot()\n", - "plt.ylim(1000, 1100)\n", - "print(solution.gradient(bc=[{\"derivative\": 1}, {\"value\": 0}]).data)" - ] - }, { "cell_type": "markdown", "id": "3164bd16", @@ -540,7 +173,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 6, "id": "1ebaaaef", "metadata": {}, "outputs": [], @@ -550,7 +183,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 7, "id": "d03cafb5", "metadata": {}, "outputs": [], @@ -561,7 +194,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 8, "id": "5bddc916", "metadata": {}, "outputs": [ @@ -616,7 +249,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 9, "id": "5cb2f86f", "metadata": {}, "outputs": [ @@ -652,7 +285,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 10, "id": "bf4af7ee", "metadata": {}, "outputs": [], @@ -662,7 +295,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 11, "id": "a5470a8e", "metadata": {}, "outputs": [ @@ -705,7 +338,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 12, "id": "424bc158", "metadata": {}, "outputs": [ @@ -770,7 +403,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 13, "id": "4c9a7916", "metadata": {}, "outputs": [ @@ -780,7 +413,7 @@ "1.4285714285714286" ] }, - "execution_count": 18, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -791,7 +424,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 14, "id": "e2c9d846", "metadata": {}, "outputs": [], @@ -801,7 +434,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 15, "id": "2619aaed", "metadata": {}, "outputs": [], @@ -811,7 +444,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 16, "id": "5fa14d40", "metadata": {}, "outputs": [ @@ -858,7 +491,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 17, "id": "e2d4686c", "metadata": {}, "outputs": [], @@ -868,7 +501,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 18, "id": "ce558f2c", "metadata": {}, "outputs": [ @@ -878,7 +511,7 @@ "0.013281769137764726" ] }, - "execution_count": 23, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -905,7 +538,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 19, "id": "60f9c29b", "metadata": {}, "outputs": [], @@ -942,7 +575,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 20, "id": "c633e758", "metadata": {}, "outputs": [], @@ -952,7 +585,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 21, "id": "d489bdf1", "metadata": {}, "outputs": [], @@ -962,7 +595,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 22, "id": "825758e1", "metadata": {}, "outputs": [], @@ -972,7 +605,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 23, "id": "99dbfd30", "metadata": {}, "outputs": [], @@ -983,7 +616,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 24, "id": "7e1a5975", "metadata": {}, "outputs": [ @@ -1057,7 +690,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 25, "id": "a20ce147", "metadata": {}, "outputs": [], @@ -1086,7 +719,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 26, "id": "c49236bf", "metadata": {}, "outputs": [], @@ -1096,7 +729,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 27, "id": "4e5bd0e1", "metadata": {}, "outputs": [ @@ -1123,7 +756,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 28, "id": "c3d58dd5", "metadata": {}, "outputs": [], @@ -1141,7 +774,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 29, "id": "dc4ca92f", "metadata": {}, "outputs": [ @@ -1155,7 +788,7 @@ " root: 0.6526852820518209" ] }, - "execution_count": 34, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -1169,7 +802,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 30, "id": "f9c07f28", "metadata": {}, "outputs": [ @@ -1179,7 +812,7 @@ "1.3856202738392207" ] }, - "execution_count": 35, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -1190,7 +823,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 31, "id": "447502a7", "metadata": {}, "outputs": [ @@ -1200,7 +833,7 @@ "1.4285714285714286" ] }, - "execution_count": 36, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -1211,7 +844,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 32, "id": "87a2118d", "metadata": {}, "outputs": [], @@ -1221,7 +854,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 33, "id": "9a5b2b68", "metadata": {}, "outputs": [], @@ -1231,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 34, "id": "14224e71", "metadata": {}, "outputs": [ @@ -1278,7 +911,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 35, "id": "3e637e4c", "metadata": {}, "outputs": [], @@ -1288,7 +921,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 36, "id": "49a5dca8", "metadata": {}, "outputs": [ @@ -1298,7 +931,7 @@ "0.013281769137764726" ] }, - "execution_count": 41, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -1309,90 +942,23 @@ }, { "cell_type": "markdown", - "id": "75feeff2", + "id": "0b31ec1b", "metadata": {}, "source": [ - "# A/F 계산기" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "id": "bf8c7fe0", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c3398c48ba9545e5a00d00d14cbe1ac8", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(Textarea(value='', description='Fuel Composition:', placeholder='\"species_name_0:X0, spe…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "@widgets.interact(\n", - " composition=widgets.Textarea(\n", - " value='H2:6.42, O2:0.39, N2:47.28, CH4:1.79, CO:24.25, CO2:19.72, C2H4:0.13, C2H6:0.04',\n", - " placeholder='\"species_name_0:X0, species_name_1:X1, species_name_2:X2, ... \"',\n", - " description='''Fuel Composition:''',\n", - " disabled=False\n", - "),\n", - " O2_in_exhaust=widgets.FloatSlider(\n", - " value=0,\n", - " min=0,\n", - " max=21.0,\n", - " step=0.1,\n", - " description='excess O2(%)',\n", - " readout=True,\n", - " readout_format='.1f',\n", - ")\n", - ")\n", - "def calculate_AF (composition, O2_in_exhaust):\n", - " gas = ct.Solution('gri30.xml')\n", - " try:\n", - " gas.TPX = 300, ct.one_atm, composition\n", - " except ct.CanteraError:\n", - " gas.TPX = 300, ct.one_atm, \"H2:1\"\n", - " \n", - " gas()\n", - " \n", - " AF_st = stoich_AF(composition)\n", - " \n", - " print(f'stoichiometric A/F = {AF_st}')\n", - " \n", - " f_found = opt.root_scalar(lambda x: exhaust_stoichiometry(x)[\"O2\"] - O2_in_exhaust/100, \n", - " bracket=[1e-1, 1])\n", - " \n", - " # print(f_found)\n", - " \n", - " phi = f_found.root\n", - " print(f_found)\n", - " print(f'phi for {O2_in_exhaust}% O2 in exhaust gas = {phi}')\n", - " print(f'A/F(vol) for {O2_in_exhaust}% O2 in exhaust gas = {AF_st / phi}')\n", - " # mean molecular weight needed to calc mass A/F\n", - "\n", - " gas.TPX = 300, ct.one_atm, exhaust_stoichiometry(phi)\n", - " gas()" + "# 배가스 산소 농도 4.5% 조건" ] }, { "cell_type": "markdown", - "id": "4c6c962f", + "id": "e22e5512", "metadata": {}, "source": [ - "# 발열량 계산" + "## 미연혼합가스 / 기연가스 조성" ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 37, "id": "2f732468", "metadata": { "scrolled": false @@ -1407,12 +973,12 @@ "id": "f7c5063d", "metadata": {}, "source": [ - "## 배가스 산소 농도 4.5% 연료+공기 혼합 기체 " + "### 미연혼합가스(연료+공기)" ] }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 38, "id": "53b2c1b9", "metadata": {}, "outputs": [ @@ -1464,12 +1030,12 @@ "id": "1d54eebc", "metadata": {}, "source": [ - "## 배가스 산소 농도 4.5% 완전 연소 배가스" + "### 완전 연소 기연가스" ] }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 39, "id": "a1bc3d15", "metadata": {}, "outputs": [ @@ -1517,12 +1083,12 @@ "id": "3e537f99", "metadata": {}, "source": [ - "## 배가스 산소 농도 4.5% 혼합 기체 kg 당 저위발열량 (J/kg)" + "### 미연혼합가스의 저위발열량 (J/kg)" ] }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 40, "id": "067ae187", "metadata": {}, "outputs": [ @@ -1532,7 +1098,7 @@ "'1.454825772118082 MJ/kg'" ] }, - "execution_count": 46, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -1544,17 +1110,29 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 41, "id": "f8713062", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "'80 GJ / rev to a battery'" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "heat_to_battery = 80 # GJ / Rev" + "heat_to_battery = 80 # GJ / Rev\n", + "f'{heat_to_battery} GJ / rev to a battery'" ] }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 42, "id": "42f68b81", "metadata": {}, "outputs": [ @@ -1564,7 +1142,7 @@ "'3636.3636363636365 MJ / hr to a combustion chamber'" ] }, - "execution_count": 48, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -1579,12 +1157,12 @@ "id": "30be4bfc", "metadata": {}, "source": [ - "## 연소실당 질량 유량 kg/hr" + "### 연소실당 질량 유량 kg/hr" ] }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 43, "id": "fd85f6dc", "metadata": {}, "outputs": [ @@ -1594,7 +1172,7 @@ "'2499.5182970050437 (kg/hr) = 3636.3636363636365 (MJ/hr) / 1.454825772118082 (MJ/kg)'" ] }, - "execution_count": 49, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -1606,15 +1184,77 @@ }, { "cell_type": "markdown", - "id": "ed0ec84b", + "id": "a52e7ccf", "metadata": {}, "source": [ - "# 단열 화염 온도 (평형 계산)" + "# 연소실 평형 온도" + ] + }, + { + "cell_type": "markdown", + "id": "363f68e8", + "metadata": {}, + "source": [ + "## 단열 화염 온도 (역반응 무시)" ] }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 44, + "id": "debc8fe3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " gri30:\n", + "\n", + " temperature 2010 K\n", + " pressure 1.0133e+05 Pa\n", + " density 0.18814 kg/m^3\n", + " mean mol. weight 31.031 kg/kmol\n", + " phase of matter gas\n", + "\n", + " 1 kg 1 kmol \n", + " --------------- ---------------\n", + " enthalpy -8.9328e+05 -2.7719e+07 J\n", + " internal energy -1.4318e+06 -4.4431e+07 J\n", + " entropy 8781.6 2.725e+05 J/K\n", + " Gibbs function -1.8544e+07 -5.7543e+08 J\n", + " heat capacity c_p 1348.9 41856 J/K\n", + " heat capacity c_v 1080.9 33542 J/K\n", + "\n", + " mass frac. Y mole frac. X chem. pot. / RT\n", + " --------------- --------------- ---------------\n", + " O2 0.046403 0.045 -31.884\n", + " H2O 0.026987 0.046486 -45.031\n", + " CO2 0.2928 0.20645 -56.851\n", + " N2 0.63381 0.70206 -27.302\n", + " [ +49 minor] 0 0 \n", + "\n" + ] + } + ], + "source": [ + "testgas = ct.Solution('gri30.xml')\n", + "testgas.TPX = 600+273.15, ct.one_atm, Xu\n", + "testgas.HPX = None, None, Xb\n", + "testgas()" + ] + }, + { + "cell_type": "markdown", + "id": "ed0ec84b", + "metadata": {}, + "source": [ + "## 단열 화염 온도 (평형 계산)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, "id": "fa7ef7a2", "metadata": {}, "outputs": [ @@ -1668,7 +1308,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 46, "id": "1d6c95a7", "metadata": {}, "outputs": [ @@ -1686,7 +1326,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 47, "id": "e437f3b4", "metadata": {}, "outputs": [ @@ -1702,17 +1342,9 @@ "print(f'NO: {gas_chamber.mole_fraction_dict()[\"NO\"] * 1e6} ppm')" ] }, - { - "cell_type": "markdown", - "id": "a52e7ccf", - "metadata": {}, - "source": [ - "# 연소실 평형 온도" - ] - }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 48, "id": "683e1479", "metadata": {}, "outputs": [ @@ -1785,15 +1417,16 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 49, "id": "badfe727", "metadata": {}, "outputs": [], "source": [ "class CombustionChamber:\n", - " def __init__ (self, mdot, T0, P0, X0, hA=600):\n", + " def __init__ (self, mdot, unburned_state, hA=600):\n", + " T0, P0, X0 = unburned_state\n", " self.mdot = mdot # kg/s\n", - " self.T_preheat = T0 # K, preheat temperature\n", + " self.T_preheat = T0 # K, preheat temperature\n", " self.P0 = P0 # Pa, pressure\n", " self.X0 = X0 # Composition in mole fractions, Fuel + Air\n", " self.gas = ct.Solution(\"gri30.xml\") # gas object\n", @@ -1803,58 +1436,79 @@ " self.h0 = self.gas.enthalpy_mass # inlet enthalpy\n", " self.T0 = self.gas.T # K, adiabatic flame temperature\n", " self.hA = hA # HTC x Area\n", - " self.Twall0 = 1100 + 273.15 \n", + " self.Twall0 = 1100 + 273.15\n", " self.Twall1 = 1100 + 273.15\n", - " \n", + " self.Area = 6.7 * 16.7\n", + "\n", " def update_mdot (self, mdot_new):\n", - " self.mdot = mdot_new\n", + " if mdot_new : self.mdot = mdot_new\n", "\n", " def update_Twall (self, Twall0=None, Twall1=None):\n", " if Twall0: self.Twall0 = Twall0\n", " if Twall1: self.Twall1 = Twall1\n", "\n", - " def energy_balance_equation (Tout, Twall0, Twall1):\n", - " # mdot * (dh) - self.heat()\n", - "\n", - " self.gas.TP = Tout, gas_chamber.P\n", + " def energy_balance_equation (self, Tout):\n", + " \n", + " self.gas.TP = Tout, None\n", " h1 = self.gas.enthalpy_mass\n", - " Tgas = (self.T0 + Tout)/2\n", + " q1, q2 = self.heat(Tout)\n", "\n", - " print (self.mdot * (h0 - h1) - self.hA * ((Tgas - Twall0) + (Tgas - Twall1)))\n", - "\n", - " return (self.mdot * (h0 - h1) - self.hA * ((Tgas - Twall0) + (Tgas - Twall1)))\n", + " return (self.mdot * (self.h0 - h1) - q1 - q2)\n", "\n", " def solve (self, ):\n", - " f_found = opt.root_scalar(lambda x: chamber_energy_balance(x, htcA, Twall0, Twall1),\n", - " bracket=[max(Twall0, Twall1), 1990])\n", + " \"\"\" Iteratively solve for outlet temperature that balance with heat loss to walls \"\"\"\n", + " f_found = opt.root_scalar(self.energy_balance_equation, \n", + " bracket=[max(self.Twall0, self.Twall1), self.T0])\n", + " self.T1 = f_found.root\n", "\n", - " def heat (self, Tgas, Twall0, Twall1):\n", - " # Tgas = (T0 + T1) / 2\n", - " # heat_to_Twall0 + heat_to_Twall1\n", - " pass" + " return f_found.root\n", + "\n", + " def heat (self, Tout=None):\n", + " if Tout is None: Tout = self.T1\n", + " \n", + " Tgas = (self.T0 + Tout) / 2\n", + " \n", + " return self.hA * (Tgas - self.Twall0), self.hA * (Tgas - self.Twall1)" ] }, { "cell_type": "code", - "execution_count": 55, - "id": "50208cd7", + "execution_count": 50, + "id": "8ce5b3bc", "metadata": {}, "outputs": [ { - "ename": "SyntaxError", - "evalue": "invalid syntax (854292774.py, line 11)", - "output_type": "error", - "traceback": [ - "\u001b[1;36m Input \u001b[1;32mIn [55]\u001b[1;36m\u001b[0m\n\u001b[1;33m wall0.update_coke_side() coke_model.brick_temperature(cum_heat)\u001b[0m\n\u001b[1;37m ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n" + "name": "stdout", + "output_type": "stream", + "text": [ + "0.6943106380569566 1273.15 1273.15\n", + "Outlet Gas Temperature 1095.5947728980304 `C\n", + "Heat to Combustion Chamber Walls (284445.0999455549, 284445.0999455549) J/s\n", + "45.0561038313759 GJ/rev from chambers to walls\n" ] } ], + "source": [ + "chmbr = CombustionChamber(mfr_to_chamber/3600, (600+273.15, ct.one_atm, Xu), hA=700)\n", + "chmbr.update_mdot(None)\n", + "chmbr.update_Twall(1273.15, 1273.15)\n", + "print (chmbr.mdot, chmbr.Twall0, chmbr.Twall1)\n", + "chmbr.solve()\n", + "print(f'Outlet Gas Temperature {chmbr.T1 - 273.15} `C')\n", + "print(f'Heat to Combustion Chamber Walls {chmbr.heat()} J/s')\n", + "print(60 * 20 * 66 * 2 * chmbr.heat()[0] / 1e9, \"GJ/rev from chambers to walls\")" + ] + }, + { + "cell_type": "markdown", + "id": "9a42fe1c", + "metadata": {}, "source": [ "chamber = CombustionChamber()\n", "wall0 = Brick()\n", "wall1 = Brick()\n", - "# Iterate\n", - "# Integrate for 1 timestep\n", + "\"Iterate\"\n", + "\"Integrate for 1 timestep\"\n", "chamber.solve()\n", "\n", "wall0.heat_to_coke()\n", @@ -1870,195 +1524,370 @@ }, { "cell_type": "markdown", - "id": "1470c1e2", + "id": "c20ac3d8", "metadata": {}, "source": [ - "# 공급 열량 오더 추정" + "# Heat diffusion equation with Coke Oven Brick Properties" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "858a862e", + "cell_type": "markdown", + "id": "fcd17e59", "metadata": {}, - "outputs": [], "source": [ - "# 50'C 장입탄 1 톤을 1100'C 코크스로 건류시키기 위해 필요한 열량\n", - "heat_coking_mcal_per_ton = (1100 - 50) * 0.33 # Mcal / t-c\n", - "print(f'{heat_coking_mcal_per_ton} Mcal / ton')" + "## For constant $k$, $C_p$" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "d9a3443d", + "cell_type": "markdown", + "id": "e87a0bbf", "metadata": {}, - "outputs": [], "source": [ - "# 50`C 물 1톤을 800`C 수증기로 증발하는데 필요한 열량\n", - "# 액체 가열 + 증발 + 증기 가열\n", - "heat_evap_mcal_per_ton = 1 * (100 - 50) + 539.2 + 0.48*(800-100)\n", - "heat_evap_mcal_per_ton\n", - "print(f'{heat_evap_mcal_per_ton} Mcal / ton')" + "$$\n", + "\\partial_t T = \\alpha \\Delta T\n", + "$$" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "bc35e30a", + "cell_type": "markdown", + "id": "116d5038", "metadata": {}, - "outputs": [], "source": [ - "# 1~4 기 장입 습탄 34 톤 중 수분 5.9% (2 톤) 제외 건탄 32 톤\n", - "# 1 문당 장입에서 추출까지 필요한 열량\n", - "heat_total_mcal = 32 * heat_coking_mcal_per_ton + 2 * heat_evap_mcal_per_ton # Mcal\n", - "heat_total_gj = heat_total_mcal / 1000 * 4.184 / 0.6 # GJ\n", - "print(f'{heat_total_gj} GJ / charge')" + "$$\n", + "\\partial_t T = \\frac{k}{\\rho C_p} \\Delta T\n", + "$$" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "c5a556cd", + "cell_type": "markdown", + "id": "dc87d038", "metadata": {}, - "outputs": [], "source": [ - "# 1 문에 시간당 공급되는 " + "## For varying $k$, $C_p$" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "2b8e5d35", + "cell_type": "markdown", + "id": "d8d70c8f", "metadata": {}, - "outputs": [], "source": [ - "# 건류 시간 동안 rev 횟수\n", - "n_rev_total = 3 * 24 * 66 / 80\n", + "$$\n", + "\\partial_t T = \\frac{1}{\\rho C_p} \\nabla \\cdot \\left( k \\nabla T \\right)\n", + "$$" + ] + }, + { + "cell_type": "markdown", + "id": "f9ed2160", + "metadata": {}, + "source": [ + "$$\n", + "\\partial_t T = \\frac{1}{\\rho C_p} \\left(\\nabla k \\cdot \\nabla T + k \\nabla^2 T \\right)\n", + "$$" + ] + }, + { + "cell_type": "markdown", + "id": "1e703f35", + "metadata": {}, + "source": [ + "$$\n", + "\\partial_t T = \\frac{1}{\\rho C_p} \\left( c_1 \\nabla T \\cdot \\nabla T + k \\nabla^2 T \\right)\n", + "$$" + ] + }, + { + "cell_type": "markdown", + "id": "511804d4", + "metadata": {}, + "source": [ + "$$\n", + "k = c_1 T + c_0\n", + "$$\n", "\n", - "n_rev_total\n", - "print(f'{n_rev_total} rev / charge')" + "$$\n", + "\\nabla k = c_1 \\nabla T\n", + "$$" + ] + }, + { + "cell_type": "markdown", + "id": "ab5e4123", + "metadata": {}, + "source": [ + "$$\n", + "C_p = d_1 T + d_0\n", + "$$" ] }, { "cell_type": "code", - "execution_count": null, - "id": "9e3eee55", + "execution_count": 58, + "id": "5a43dfeb", "metadata": {}, "outputs": [], "source": [ - "# 66 문에 rev 당 공급되는 열량\n", - "f'{66 * heat_total_gj / n_rev_total} GJ / rev'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4ae27703", - "metadata": {}, - "outputs": [], - "source": [ - "# 80 GJ/rev 는 모든 문에 공급되는 열량이 맞다" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d552c14d", - "metadata": {}, - "outputs": [], - "source": [ - "water = ct.Water()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c4d73576", - "metadata": {}, - "outputs": [], - "source": [ - "water" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4c82456a", - "metadata": {}, - "outputs": [], - "source": [ - "water.TP = 40 + 273.15, ct.one_atm\n", + "class CokeOvenBrickHeatEqn(pde.PDEBase):\n", + " \"\"\"Implementation of the Heat equation\"\"\"\n", "\n", - "water()" + " def __init__ (self, bc=\"auto_periodic_neumann\"):\n", + " self.bc = bc\n", + " self.rho = 1900 # kg / m3\n", + " self.kCoef0 = 0.93 # W / m / K\n", + " self.kCoef1 = 0.698e-3 # W / m / K2\n", + " self.cpCoef0 = 837.2 # J / kg / K\n", + " self.cpCoef1 = 251.2e-3 # J / kg / K2\n", + "\n", + " def k (self, T):\n", + " return T * self.kCoef1 + self.kCoef0\n", + " \n", + " def cp (self, T):\n", + " return T * self.cpCoef1 + self.cpCoef0\n", + " \n", + " def update_bc (self, gradT_chamber=None, T_oven=None):\n", + " bc0, bc1 = self.bc\n", + " if gradT_chamber:\n", + " self.bc[0] = {\"derivative\": gradT_chamber} \n", + " if T_oven:\n", + " self.bc[1] = {\"value\": T_oven}\n", + "\n", + " def evolution_rate(self, state, t=0):\n", + " \"\"\"implement the python version of the evolution equation\"\"\"\n", + " state_lap = state.laplace(bc=self.bc)\n", + " state_grad = state.gradient(bc=self.bc)\n", + " \n", + " k = self.kCoef1 * state + self.kCoef0\n", + " cp = self.cpCoef1 * state + self.cpCoef0\n", + " \n", + " k_grad = self.kCoef1 * state_grad\n", + " \n", + " return (state_grad.dot(k_grad) + k * state_lap) / self.rho / cp\n" + ] + }, + { + "cell_type": "markdown", + "id": "cd2e51d5", + "metadata": {}, + "source": [ + "## Test run parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "8f2a53b4", + "metadata": {}, + "outputs": [], + "source": [ + "T0 = 800 + 273.15 # Initial Brick Temperature\n", + "T_preheat = 600 + 273.15 # Unburned Gas Preheat Temperature\n", + "simulation_time = 72 * 60 * 60. # 24 hours in seconds\n", + "dt = 1. # timestep 1 second\n", + "bc_update_period = 60. # update bc every 60 seconds\n", + "bc_update_stride = int(bc_update_period / dt) # For convenience\n", + "brick_thickness = 0.14 # m, \n", + "n_grid_brick = 32 # Number of Grid points inside\n", + "\n", + "grid = pde.CartesianGrid([[0, brick_thickness]], n_grid_brick, periodic=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "f2d5e137", + "metadata": {}, + "outputs": [], + "source": [ + "Twall_table = np.loadtxt('./CokeOvenWallTemperature.csv', delimiter=',').T" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "b2f3006a", + "metadata": {}, + "outputs": [], + "source": [ + "Twall_model = lambda x: np.interp(x, Twall_table[0] * 60 * 60 * (66/80) / (100/80), Twall_table[1])" + ] + }, + { + "cell_type": "markdown", + "id": "70971eb5", + "metadata": {}, + "source": [ + "$$\n", + "q = -k\\nabla T\n", + "$$" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "a6240b56", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.6943106380569566 1073.15 1073.15\n" + ] + } + ], + "source": [ + "# Initial Condition\n", + "# Brick Temperature\n", + "field = pde.ScalarField(grid, T0)\n", + "\n", + "# BC-0: Heat Flux from chamber to wall\n", + "chmbr = CombustionChamber(mfr_to_chamber/3600, (T_preheat, ct.one_atm, Xu), hA=700)\n", + "chmbr.update_mdot(None)\n", + "chmbr.update_Twall(T0, T0)\n", + "print (chmbr.mdot, chmbr.Twall0, chmbr.Twall1)\n", + "chmbr.solve()\n", + "q1, q2 = chmbr.heat()\n", + "\n", + "\n", + "# BC-1: Oven side brick temperature\n", + "Toven0 = Twall_model(0)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "454af53c", + "metadata": {}, + "outputs": [], + "source": [ + "eq = CokeOvenBrickHeatEqn(bc=[{\"derivative\": 100}, {\"value\": T0}])" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "d28a0363", + "metadata": {}, + "outputs": [], + "source": [ + "eq.update_bc(gradT_chamber=q1/eq.k(T0), T_oven=Toven0)" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "00b419af", + "metadata": {}, + "outputs": [], + "source": [ + "times = np.arange(0, simulation_time, dt)" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "7ad5a41a", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "solutions = [field]\n", + "for i, t in enumerate(times[::bc_update_stride]):\n", + " Twall0 = solutions[-1].get_boundary_values(axis=0, upper=False, bc=eq.bc)\n", + " # chabmer.solve(sol) \n", + " eq.update_bc(T_oven=T0 + t/2000.)\n", + " solution = eq.solve(solutions[-1], t_range=bc_update_stride*dt, dt=dt, tracker='consistency')\n", + " solutions.append(solution)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "ecd3d85f", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": 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