CoolProp/dev/Tickets/Water metastable.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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0TtLtktSm4z1XWP6SpOMHthde9yeS/J5hHcO/jGb18ufA96N994ArHmcWcMcg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\nqyUHmJmZ1dL/B+t1HMuN709zAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x108e93d50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import CoolProp, numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "AS = CoolProp.AbstractState('HEOS','Water')\n",
    "\n",
    "T = 300\n",
    "rhoc = AS.rhomolar_critical()\n",
    "\n",
    "# Saturated liquid density\n",
    "AS.update(CoolProp.QT_INPUTS, 0, T)\n",
    "rhoL = AS.rhomolar()\n",
    "plt.axvline(rhoL/1000.0,lw=2,c='r')\n",
    "# Saturated vapor density\n",
    "AS.update(CoolProp.QT_INPUTS, 1, T)\n",
    "rhoV = AS.rhomolar()\n",
    "plt.axvline(rhoV/1000.0,lw=2,c='r')\n",
    "\n",
    "AS.specify_phase(CoolProp.iphase_liquid) # Something homogeneous to avoid flash call\n",
    "\n",
    "plt.axvline(rhoc/1000.0,dashes = [2,2])\n",
    "p = []\n",
    "rho = np.linspace(1e0, rhoc*5, 10000)\n",
    "for D in rho:\n",
    "    AS.update(CoolProp.DmolarT_INPUTS, D, T)\n",
    "    p.append(AS.p())\n",
    "    \n",
    "plt.plot(rho/1000.0,np.array(p)/1e6)\n",
    "#plt.yscale('log')\n",
    "plt.ylim(-1e6,10e5) # Undo this to see how crazy it is\n",
    "plt.xscale('log')\n",
    "plt.xlabel(r'$\\rho$ (mol/L)')\n",
    "lab = plt.ylabel(r'$p$ (MPa)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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