diff --git a/Cantera/python/examples/reactors/sensitivity_sim/.cvsignore b/Cantera/python/examples/reactors/sensitivity_sim/.cvsignore
new file mode 100644
index 000000000..58f0c2dbc
--- /dev/null
+++ b/Cantera/python/examples/reactors/sensitivity_sim/.cvsignore
@@ -0,0 +1,8 @@
+Makefile
+runtest
+air.xml
+ct2ctml.log
+diff_out_0.txt
+gri30.xml
+output_0.txt
+transport_log.xml
diff --git a/Cantera/python/examples/reactors/sensitivity_sim/Makefile.in b/Cantera/python/examples/reactors/sensitivity_sim/Makefile.in
new file mode 100644
index 000000000..492829c23
--- /dev/null
+++ b/Cantera/python/examples/reactors/sensitivity_sim/Makefile.in
@@ -0,0 +1,15 @@
+#!/bin/sh
+
+PYTHON_CMD = @PYTHON_CMD@
+
+run:
+	$(PYTHON_CMD) sensitivity1.py
+
+test:
+	./runtest
+clean:
+	rm -f *.log *.csv *.xml
+	./cleanup
+
+# end of file
+
diff --git a/Cantera/python/examples/reactors/sensitivity_sim/cleanup b/Cantera/python/examples/reactors/sensitivity_sim/cleanup
new file mode 100755
index 000000000..40e1dbd9e
--- /dev/null
+++ b/Cantera/python/examples/reactors/sensitivity_sim/cleanup
@@ -0,0 +1,5 @@
+#!/bin/sh
+#
+/bin/rm -rf equilibrate_log*.html
+/bin/rm -rf .cttmp* ct2ctml.log transport_log.xml vcs_equilibrate_res*.csv \
+            catcomb.csv output_0.txt diff*
diff --git a/Cantera/python/examples/reactors/sensitivity_sim/output_blessed_0.txt b/Cantera/python/examples/reactors/sensitivity_sim/output_blessed_0.txt
new file mode 100644
index 000000000..7d5cf5c33
--- /dev/null
+++ b/Cantera/python/examples/reactors/sensitivity_sim/output_blessed_0.txt
@@ -0,0 +1,407 @@
+ Adding reactor (none)
+Initializing reactor network.
+Reactor 0: 55 variables.
+            10 sensitivity params.
+Number of equations: 55
+Maximum time step:            5e-06
+ 5.000e-06   1500.000 101325.000   9.070317e+05
+ 1.000e-05   1499.999 101325.000   9.070318e+05
+ 1.500e-05   1499.999 101325.000   9.070319e+05
+ 2.000e-05   1499.998 101325.000   9.070320e+05
+ 2.500e-05   1499.998 101325.000   9.070321e+05
+ 3.000e-05   1499.997 101325.000   9.070322e+05
+ 3.500e-05   1499.997 101325.000   9.070323e+05
+ 4.000e-05   1499.997 101325.000   9.070324e+05
+ 4.500e-05   1499.996 101325.000   9.070325e+05
+ 5.000e-05   1499.996 101325.000   9.070326e+05
+ 5.500e-05   1499.996 101325.000   9.070327e+05
+ 6.000e-05   1499.995 101325.000   9.070328e+05
+ 6.500e-05   1499.995 101325.000   9.070328e+05
+ 7.000e-05   1499.995 101325.000   9.070329e+05
+ 7.500e-05   1499.995 101325.000   9.070329e+05
+ 8.000e-05   1499.994 101325.000   9.070330e+05
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+ 1.405e-03   1711.403 101325.000   8.450920e+05
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+ 1.415e-03   1711.821 101325.000   8.449846e+05
+ 1.420e-03   1712.026 101325.000   8.449322e+05
+ 1.425e-03   1712.227 101325.000   8.448806e+05
+ 1.430e-03   1712.425 101325.000   8.448298e+05
+ 1.435e-03   1712.620 101325.000   8.447798e+05
+ 1.440e-03   1712.812 101325.000   8.447305e+05
+ 1.445e-03   1713.001 101325.000   8.446820e+05
+ 1.450e-03   1713.188 101325.000   8.446342e+05
+ 1.455e-03   1713.371 101325.000   8.445871e+05
+ 1.460e-03   1713.552 101325.000   8.445408e+05
+ 1.465e-03   1713.730 101325.000   8.444951e+05
+ 1.470e-03   1713.906 101325.000   8.444502e+05
+ 1.475e-03   1714.078 101325.000   8.444058e+05
+ 1.480e-03   1714.249 101325.000   8.443622e+05
+ 1.485e-03   1714.416 101325.000   8.443192e+05
+ 1.490e-03   1714.582 101325.000   8.442768e+05
+ 1.495e-03   1714.745 101325.000   8.442350e+05
+ 1.500e-03   1714.905 101325.000   8.441939e+05
+ 1.505e-03   1715.063 101325.000   8.441533e+05
+ 1.510e-03   1715.219 101325.000   8.441134e+05
+ 1.515e-03   1715.373 101325.000   8.440740e+05
+ 1.520e-03   1715.524 101325.000   8.440351e+05
+ 1.525e-03   1715.674 101325.000   8.439969e+05
+ 1.530e-03   1715.821 101325.000   8.439591e+05
+ 1.535e-03   1715.966 101325.000   8.439219e+05
+ 1.540e-03   1716.109 101325.000   8.438853e+05
+ 1.545e-03   1716.250 101325.000   8.438491e+05
+ 1.550e-03   1716.389 101325.000   8.438134e+05
+ 1.555e-03   1716.526 101325.000   8.437783e+05
+ 1.560e-03   1716.661 101325.000   8.437436e+05
+ 1.565e-03   1716.795 101325.000   8.437094e+05
+ 1.570e-03   1716.926 101325.000   8.436757e+05
+ 1.575e-03   1717.056 101325.000   8.436424e+05
+ 1.580e-03   1717.184 101325.000   8.436096e+05
+ 1.585e-03   1717.310 101325.000   8.435773e+05
+ 1.590e-03   1717.435 101325.000   8.435454e+05
+ 1.595e-03   1717.557 101325.000   8.435139e+05
+ 1.600e-03   1717.679 101325.000   8.434828e+05
+ 1.605e-03   1717.798 101325.000   8.434521e+05
+ 1.610e-03   1717.916 101325.000   8.434219e+05
+ 1.615e-03   1718.033 101325.000   8.433921e+05
+ 1.620e-03   1718.148 101325.000   8.433626e+05
+ 1.625e-03   1718.261 101325.000   8.433335e+05
+ 1.630e-03   1718.373 101325.000   8.433049e+05
+ 1.635e-03   1718.483 101325.000   8.432765e+05
+ 1.640e-03   1718.592 101325.000   8.432486e+05
+ 1.645e-03   1718.700 101325.000   8.432210e+05
+ 1.650e-03   1718.806 101325.000   8.431938e+05
+ 1.655e-03   1718.911 101325.000   8.431669e+05
+ 1.660e-03   1719.014 101325.000   8.431404e+05
+ 1.665e-03   1719.116 101325.000   8.431142e+05
+ 1.670e-03   1719.217 101325.000   8.430883e+05
+ 1.675e-03   1719.317 101325.000   8.430628e+05
+ 1.680e-03   1719.415 101325.000   8.430376e+05
+ 1.685e-03   1719.512 101325.000   8.430127e+05
+ 1.690e-03   1719.608 101325.000   8.429881e+05
+ 1.695e-03   1719.703 101325.000   8.429638e+05
+ 1.700e-03   1719.796 101325.000   8.429398e+05
+ 1.705e-03   1719.889 101325.000   8.429162e+05
+ 1.710e-03   1719.980 101325.000   8.428928e+05
+ 1.715e-03   1720.070 101325.000   8.428696e+05
+ 1.720e-03   1720.159 101325.000   8.428468e+05
+ 1.725e-03   1720.247 101325.000   8.428243e+05
+ 1.730e-03   1720.334 101325.000   8.428020e+05
+ 1.735e-03   1720.420 101325.000   8.427800e+05
+ 1.740e-03   1720.505 101325.000   8.427582e+05
+ 1.745e-03   1720.589 101325.000   8.427367e+05
+ 1.750e-03   1720.671 101325.000   8.427155e+05
+ 1.755e-03   1720.753 101325.000   8.426945e+05
+ 1.760e-03   1720.834 101325.000   8.426738e+05
+ 1.765e-03   1720.914 101325.000   8.426533e+05
+ 1.770e-03   1720.993 101325.000   8.426331e+05
+ 1.775e-03   1721.071 101325.000   8.426130e+05
+ 1.780e-03   1721.148 101325.000   8.425933e+05
+ 1.785e-03   1721.224 101325.000   8.425737e+05
+ 1.790e-03   1721.300 101325.000   8.425544e+05
+ 1.795e-03   1721.374 101325.000   8.425353e+05
+ 1.800e-03   1721.448 101325.000   8.425164e+05
+ 1.805e-03   1721.521 101325.000   8.424977e+05
+ 1.810e-03   1721.593 101325.000   8.424792e+05
+ 1.815e-03   1721.664 101325.000   8.424610e+05
+ 1.820e-03   1721.734 101325.000   8.424429e+05
+ 1.825e-03   1721.804 101325.000   8.424251e+05
+ 1.830e-03   1721.873 101325.000   8.424075e+05
+ 1.835e-03   1721.941 101325.000   8.423900e+05
+ 1.840e-03   1722.008 101325.000   8.423728e+05
+ 1.845e-03   1722.075 101325.000   8.423557e+05
+ 1.850e-03   1722.140 101325.000   8.423388e+05
+ 1.855e-03   1722.205 101325.000   8.423221e+05
+ 1.860e-03   1722.270 101325.000   8.423056e+05
+ 1.865e-03   1722.334 101325.000   8.422893e+05
+ 1.870e-03   1722.397 101325.000   8.422731e+05
+ 1.875e-03   1722.459 101325.000   8.422571e+05
+ 1.880e-03   1722.520 101325.000   8.422413e+05
+ 1.885e-03   1722.581 101325.000   8.422257e+05
+ 1.890e-03   1722.642 101325.000   8.422102e+05
+ 1.895e-03   1722.701 101325.000   8.421949e+05
+ 1.900e-03   1722.761 101325.000   8.421798e+05
+ 1.905e-03   1722.819 101325.000   8.421648e+05
+ 1.910e-03   1722.877 101325.000   8.421499e+05
+ 1.915e-03   1722.934 101325.000   8.421353e+05
+ 1.920e-03   1722.991 101325.000   8.421208e+05
+ 1.925e-03   1723.047 101325.000   8.421064e+05
+ 1.930e-03   1723.102 101325.000   8.420922e+05
+ 1.935e-03   1723.157 101325.000   8.420781e+05
+ 1.940e-03   1723.211 101325.000   8.420642e+05
+ 1.945e-03   1723.265 101325.000   8.420504e+05
+ 1.950e-03   1723.318 101325.000   8.420367e+05
+ 1.955e-03   1723.371 101325.000   8.420232e+05
+ 1.960e-03   1723.423 101325.000   8.420098e+05
+ 1.965e-03   1723.475 101325.000   8.419966e+05
+ 1.970e-03   1723.526 101325.000   8.419835e+05
+ 1.975e-03   1723.576 101325.000   8.419705e+05
+ 1.980e-03   1723.626 101325.000   8.419577e+05
+ 1.985e-03   1723.676 101325.000   8.419450e+05
+ 1.990e-03   1723.725 101325.000   8.419324e+05
+ 1.995e-03   1723.773 101325.000   8.419199e+05
+ 2.000e-03   1723.822 101325.000   8.419076e+05
+To view a plot of these results, run this script with the option -plot
diff --git a/Cantera/python/examples/reactors/sensitivity_sim/runtest.in b/Cantera/python/examples/reactors/sensitivity_sim/runtest.in
new file mode 100755
index 000000000..93f053e9e
--- /dev/null
+++ b/Cantera/python/examples/reactors/sensitivity_sim/runtest.in
@@ -0,0 +1,44 @@
+#!/bin/sh
+#
+#
+temp_success="1"
+/bin/rm  -f output_0.txt   diff_csv.txt diff_out_0.txt
+
+##########################################################################
+PYTHON_CMD=@PYTHON_CMD@
+prog=sensitivity1.py
+if test ! -f $prog ; then
+   echo $prog ' does not exist'
+   exit -1
+fi
+#################################################################
+#
+CANTERA_DATA=${CANTERA_DATA:=../../../data/inputs}; export CANTERA_DATA
+CANTERA_BIN=${CANTERA_BIN:=../../../bin}
+
+#################################################################
+
+$PYTHON_CMD $prog  > output_0.txt 
+retnStat=$?
+if [ $retnStat != "0" ]
+then
+  temp_success="0"
+  echo "$prog returned with bad status, $retnStat, check output"
+fi
+
+diff -w output_blessed_0.txt output_0.txt > diff_out_0.txt
+retnStat_0=$?
+
+retnTotal=1
+if test $retnStat_0 = "0" 
+then
+  retnTotal=0
+fi
+
+if test $retnTotal = "0"
+then
+  echo "Successful test comparison on "`pwd`
+else
+  echo "Unsuccessful test comparison of csv files on "`pwd` " test"
+fi
+
diff --git a/Cantera/python/examples/reactors/sensitivity_sim/sensitivity1.py b/Cantera/python/examples/reactors/sensitivity_sim/sensitivity1.py
new file mode 100644
index 000000000..1b9be95d2
--- /dev/null
+++ b/Cantera/python/examples/reactors/sensitivity_sim/sensitivity1.py
@@ -0,0 +1,97 @@
+"""
+
+  Constant-pressure, adiabatic kinetics simulation with sensitivity analysis
+
+"""
+import sys
+
+from Cantera import *
+from Cantera.Reactor import *
+from Cantera.Func import *
+
+gri3 = GRI30()
+temp = 1500.0
+pres = OneAtm
+
+gri3.set(T = temp, P = pres, X = 'CH4:0.1, O2:2, N2:7.52')
+r   = Reactor(gri3)
+
+air = Air()
+air.set(T = temp, P = pres)
+env = Reservoir(air)
+
+# Define a wall between the reactor and the environment, and
+# make it flexible, so that the pressure in the reactor is held
+# at the environment pressure.
+w = Wall(r,env)
+w.set(K = 1.0e6)   # set expansion parameter. dV/dt = KA(P_1 - P_2)
+w.set(A = 1.0)
+
+# enable sensitivity with respect to the rates of the first 10
+# reactions (reactions 0 through 9)
+r.addSensitivityReaction(reactions = range(10))
+
+sim = ReactorNet([r])
+
+# set the tolerances for the solution and for the sensitivity
+# coefficients
+sim.setTolerances(rtol = 1.0e-6, atol = 1.0e-15,
+                  rtolsens = 1.0e-5, atolsens = 1.0e-5)
+time = 0.0
+np = 400
+tim = zeros(np,'d')
+data = zeros([np,6],'d')
+
+for n in range(np):
+    time += 5.0e-6
+    sim.advance(time)
+    tim[n] = time
+    data[n,0] = r.temperature()
+    data[n,1] = r.moleFraction('OH') 
+    data[n,2] = r.moleFraction('H')
+    data[n,3] = r.moleFraction('CH4')
+    
+    # sensitivity of OH to reaction 2
+    data[n,4] = sim.sensitivity('OH',2)
+    
+    # sensitivity of OH to reaction 3    
+    data[n,5] = sim.sensitivity('OH',3)
+    
+    print '%10.3e %10.3f %10.3f %14.6e' % (sim.time(), r.temperature(), 
+                                           r.pressure(), r.intEnergy_mass())
+                                           #sim.sensitivity("OH",0))
+
+
+# plot the results if matplotlib is installed.
+# see http://matplotlib.sourceforge.net to get it
+args = sys.argv
+if len(args) > 1 and args[1] == '-plot':
+    try:
+        from matplotlib.pylab import *
+        clf
+        subplot(2,2,1)
+        plot(tim,data[:,0])
+        xlabel('Time (s)');
+        ylabel('Temperature (K)');
+        subplot(2,2,2)
+        plot(tim,data[:,1])
+        xlabel('Time (s)');
+        ylabel('OH Mole Fraction');
+        subplot(2,2,3)
+        plot(tim,data[:,2]);
+        xlabel('Time (s)');
+        ylabel('H Mole Fraction');
+        subplot(2,2,4)
+        plot(tim,data[:,3]);
+        xlabel('Time (s)');
+        ylabel('H2 Mole Fraction');
+        figure(2)
+        plot(tim,data[:,4],'-',tim,data[:,5],'-g')
+        legend([r.sensParamName(2),r.sensParamName(3)],'best')
+        xlabel('Time (s)');
+        ylabel('OH Sensitivity');        
+        show()
+    except:
+        print 'could not make plots'
+else:
+    print """To view a plot of these results, run this script with the option -plot"""