{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Minimal Example pandapipes\n", "\n", "## Creating a low pressure gas network\n", "\n", "We consider the following simple 3-junction example network with an ideal valve as a minimal example:\n", "\n", "\n", "\n", "The above network can be created in pandapipes as follows:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import pandapipes as pp\n", "\n", "#create empty net\n", "net = pp.create_empty_network(fluid=\"lgas\")\n", "\n", "# create junction\n", "j1 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name=\"Junction 1\")\n", "j2 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name=\"Junction 2\") \n", "j3 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name=\"Junction 3\") \n", "\n", "# create junction elements\n", "ext_grid = pp.create_ext_grid(net, junction=j1, p_bar=1.1, t_k=293.15, name=\"Grid Connection\")\n", "sink = pp.create_sink(net, junction=j3, mdot_kg_per_s=0.045, name=\"Sink\")\n", "\n", "# create branch element\n", "pipe = pp.create_pipe_from_parameters(net, from_junction=j1, to_junction=j2, length_km=0.1, diameter_m=0.05, name=\"Pipe 1\")\n", "valve = pp.create_valve(net, from_junction=j2, to_junction=j3, diameter_m=0.05, opened=True, name=\"Valve 1\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that the fluid used here is lgas. You can find 4 predefined fluids in pandapipes:\n", " - lgas\n", " - hgas\n", " - water\n", " - air\n", "\n", "And that the predefined valve element is an ideal valve. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data Structure\n", "\n", "Each dataframe in a pandapipes net object contains the information about one pandapipes element, such as pipe, sink, valve etc." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "net.junction" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "net.pipe" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "net.ext_grid" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Pipe Flow\n", "\n", "We now run a pipe flow:\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "pp.pipeflow(net)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And check out at the results for junctions and pipes:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "net.res_junction" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "They're is no pressure loss between junction 2 and junction 3 because of the ideal valve." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "net.res_pipe" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Closed valve\n", "\n", "We now close the valve between junction 2 and junction 3:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Problem can not run pipeflow if valve closed\n", "net.valve.opened = False" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The closed valve cuts the sink from the external grid:\n", "\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This can be verified by running a power flow and inspecting the results. The pressure and temperature at junction 2 is given as NaN:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "pp.pipeflow(net)\n", "net.res_junction" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Also the results from the pipe show that the mass flow is almost zero and the speed of the mass flow is zero. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "net.res_pipe" ] } ], "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": "3.7.4" }, "pycharm": { "stem_cell": { "cell_type": "raw", "source": [], "metadata": { "collapsed": false } } } }, "nbformat": 4, "nbformat_minor": 2 }