{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# IAST examples\n", "\n", "The IAST method is used to predict the composition of the adsorbed phase in a\n", "multicomponent adsorption system, starting from pure component isotherms. First,\n", "make sure the data is imported by running the import notebook." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Selected 5 isotherms with nitrogen at 77K\n", "Selected 2 room temperature calorimetry isotherms\n", "Selected 2 isotherms for IAST calculation\n", "Selected 3 isotherms for isosteric enthalpy calculation\n" ] } ], "source": [ "# import isotherms\n", "%run import.ipynb\n", "\n", "# import the iast module\n", "import pygaps\n", "import pygaps.iast as pgi\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Using models\n", "\n", "The IAST calculation is often performed by fitting a model to the isotherm\n", "rather than on the isotherms themselves, as spreading pressure can be computed\n", "efficiently when using most common models. Let's first fit the Langmuir model to\n", "both isotherms." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Isotherm sample: MOF-5(Zn)\n", "Attempting to model using Langmuir.\n", "Model Langmuir success, RMSE is 0.901\n", "Attempting to model using Langmuir.\n", "Model Langmuir success, RMSE is 0.272\n" ] }, { "data": { "image/png": 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" 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" }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "isotherms_iast_models = []\n", "\n", "isotherm = next(i for i in isotherms_iast if i.material=='MOF-5(Zn)')\n", "print('Isotherm sample:', isotherm.material)\n", "\n", "for isotherm in isotherms_iast:\n", " model = pygaps.ModelIsotherm.from_pointisotherm(isotherm, model='Langmuir', verbose=True)\n", " isotherms_iast_models.append(model)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can perform the IAST calculation with the resulting models. We specify\n", "the partial pressures of each component in the gaseous phase to obtain the\n", "composition of the adsorbed phase." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2 components.\n", "\tPartial pressure component 0 = 5\n", "\tPartial pressure component 1 = 5\n", "Component 0\n", "\tp = 5\n", "\tp^0 = 5.71\n", "\tLoading = 11.01\n", "\tx = 0.8757\n", "\tSpreading pressure = 18.18\n", "Component 1\n", "\tp = 5\n", "\tp^0 = 40.21\n", "\tLoading = 1.563\n", "\tx = 0.1243\n", "\tSpreading pressure = 18.18\n" ] }, { "data": { "text/html": [ "
array([11.0056369 , 1.56267705])\n", "\n" ], "text/plain": [ "\u001b[1;35marray\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[1;36m11.0056369\u001b[0m , \u001b[1;36m1.56267705\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gas_fraction = [0.5, 0.5]\n", "total_pressure = 10\n", "pgi.iast_point_fraction(isotherms_iast_models, gas_fraction, total_pressure, verbose=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Alternatively, if we are interested in a binary system, we can use the extension\n", "functions `iast_binary_svp` and `iast_binary_vle` to obtain how the selectivity\n", "changes based on pressure in a constant composition or, respectively, how the\n", "gas phase-adsorbed phase changes with gas composition, at constant pressure.\n", "\n", "These functions perform the IAST calculation at every point in the range passed\n", "and can plot the results. If interested in the selectivity for one component in\n", "an equimolar mixture over a pressure range:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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" }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "mole_fractions = [0.5, 0.5]\n", "pressure_range = numpy.linspace(0.01, 20, 30)\n", "\n", "result_dict = pgi.iast_binary_svp(\n", " isotherms_iast_models,\n", " mole_fractions,\n", " pressure_range,\n", " verbose=True,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Or if interested on a adsorbed - gas phase equilibrium line:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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" }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "total_pressure = 2\n", "result_dict = pgi.iast_binary_vle(\n", " isotherms_iast_models,\n", " total_pressure,\n", " verbose=True,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Using isotherms directly - interpolation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The isotherms themselves can be used directly. However, instead of spreading\n", "pressure being calculated from the model, it will be approximated through\n", "interpolation and numerical quadrature integration." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2 components.\n", "\tPartial pressure component 0 = 5\n", "\tPartial pressure component 1 = 5\n", "Component 0\n", "\tp = 5\n", "\tp^0 = 5.71\n", "\tLoading = 11.01\n", "\tx = 0.8757\n", "\tSpreading pressure = 18.18\n", "Component 1\n", "\tp = 5\n", "\tp^0 = 40.21\n", "\tLoading = 1.563\n", "\tx = 0.1243\n", "\tSpreading pressure = 18.18\n" ] }, { "data": { "text/html": [ "
array([11.0056369 , 1.56267705])\n", "\n" ], "text/plain": [ "\u001b[1;35marray\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[1;36m11.0056369\u001b[0m , \u001b[1;36m1.56267705\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gas_fraction = [0.5, 0.5]\n", "total_pressure = 10\n", "pgi.iast_point_fraction(\n", " isotherms_iast_models,\n", " gas_fraction,\n", " total_pressure,\n", " verbose=True,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The binary mixture functions can also accept PointIsotherm objects." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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" }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "mole_fraction = [0.5, 0.5]\n", "pressure_range = numpy.linspace(0.01, 20, 30)\n", "\n", "result_dict = pgi.iast_binary_svp(\n", " isotherms_iast,\n", " mole_fraction,\n", " pressure_range,\n", " verbose=True,\n", ")" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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" }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "result_dict = pgi.iast_binary_vle(\n", " isotherms_iast,\n", " total_pressure=2,\n", " verbose=True,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "More info about the method can be found in the [manual](https://pygaps.readthedocs.io/en/master/manual/iast.html)." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 2 }