Start Presentation December 6, 2012 Chemical Thermodynamics III In this lecture, we shall analyze the temperature dependence of chemical reactions (Arrhenius’

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Start Presentation December 6, 2012 Chemical Thermodynamics III In this lecture, we shall analyze the temperature dependence of chemical reactions (Arrhenius’ law). We shall also analyze light dependence of some reactions, such as the hydrogen-bromine reaction. Finally, we shall discuss the influence of external sources of energy, such as mechanical energy in a Continuous Stirred Tank Reactor (CSTR), or such as electrical energy in electrolysis.

Start Presentation December 6, 2012 Table of Contents Temperature dependence of chemical reactionsTemperature dependence of chemical reactions Arrhenius lawArrhenius law Pressure dependence of chemical reactionsPressure dependence of chemical reactions Photolysis Electrolysis Stirred reactorsStirred reactors

Start Presentation December 6, 2012 It can be observed that the reaction rates of essentially all reactions change in function of the temperature that the reactants are at, for example: Temperature Dependence of Chemical Reaction Systems I

Start Presentation December 6, 2012 How can this be explained? Most reactions require activation energy to take place. Without this activation energy, they could not occur, because otherwise, they would occur rather violently. Thus, a reaction such as: should probably be written as: where M is a catalyst that does not otherwise participate in the reaction. It only provides the necessary activation energy for the reaction to take place. Temperature Dependence of Chemical Reaction Systems II Br2  2Br · k1k1 Br2 + M  2Br · + M k1k1

Start Presentation December 6, 2012 Temperature is only a statistical quantity, i.e., the different molecules vary in the amount of energy that they possess. Temperature is a measure of the average microscopic kinetic energy (Brown’s movement) that a molecule possesses. If two high-energized molecules collide, they react, because they can borrow the necessary activation energy from the microscopic kinetic energy, i.e., from the thermal domain. In the case of the Br 2 decaying reaction, it probably will never occur, unless one Br 2 molecule collides with another molecule, from which it can borrow the necessary activation energy. The higher the temperature of the reactants, the more highly energized the average molecule will be, and the more likely it will overcome the activation energy. Thus, the reaction rate constants are always functions of temperature. Temperature Dependence of Chemical Reaction Systems III

Start Presentation December 6, 2012 We can redraw the previous figure using a double-logarithmic scale. Arrhenius’ Law I Arrhenius discovered that the temperature dependence for many reactions is approximately linear, if depicted using a double- logarithmic scale. k = A · exp(   EaEa R · T A = frequency factor (frequency of collisions) E a = activation energy

Start Presentation December 6, 2012 Notice that, although the temperature dependence of chemical reaction rates is physically interpretable, Arrhenius’ law is purely empirical, and no physical explanation can be provided that would support the precise nature of the Arrhenius equation. Indeed, the equation is often modified to: Notice that no external energy was added here in order to speed up the reactions. The modulation of the reaction rates is purely internal. It is caused by the heat stored in the system. Arrhenius’ Law II k = k 0 · T m · exp(  EaEa R · T

Start Presentation December 6, 2012 The Hydrogen-Bromine Reaction The following experimental rates have been found to describe well the hydrogen-bromine reaction:

Start Presentation December 6, 2012 Arrhenius’ Law III We need to ask ourselves one more question: If the participating reactants are at different temperature values, which value do we use in the Arrhenius equation? Remember that temperature is only a statistical quantity. It is a measure for the average microscopic kinetic energy contained in a molecule of a substance. Consequently, if two reactant substances are at different temperature values, we can safely use the average value of their temperatures in satisfying the Arrhenius equation.

Start Presentation December 6, 2012 Pressure Dependence of Reaction Rates In the light of what we have learnt about temperature dependence of reaction rates, a pressure dependence should also be expected. If the pressure of a gas rises, this means that more molecules are present per unit volume. Consequently, the probability of collisions among molecules should increase as well. Although a pressure dependence certainly exists, it isn’t explored much in the chemical engineering literature.

Start Presentation December 6, 2012 Light Sensitivity of Reaction Rates I Some reaction rates have been found to be sensitive to light, i.e., the reaction rates increase in the presence of light, and decrease when the reactants are kept in the dark. For example, this is most certainly true for the hydrogen- bromine reaction. The explanation of this phenomenon is simple: photons collide with reactants and provide the necessary activation energy for the reaction to take place. In the hydrogen-bromine reaction, it is the decaying reaction of the bromine gas that is influenced by collisions with photons.

Start Presentation December 6, 2012 Light Sensitivity of Reaction Rates II However, in this case, there is external energy, namely optical energy, that is added to the system. Thus, contrary to the previously discussed types of reaction rate dependencies, here the bond graph will need to change, since external energy is added to the system. We choose: P opt = (h·  ) · I h = Planck constant (h = · J sec)  = Frequency (color) of the light I = Intensity (number of photons per time unit) of the light h· I

Start Presentation December 6, 2012 Light Sensitivity of Reaction Rates III The photons add energy to the microscopic kinetic motion of the molecules, i.e., the optical energy is adding energy to the thermal side. Consequently, the Gibbs equation is modified as follows: T · S k1 = p · q k1 + (h·n ) · I  ·  k1 · Increase in light increases the thermal power. The additional entropy is entered at reaction k 1, since this is the reaction that is influenced by the photon flux. Yet this is arbitrary, since the photons collide with all molecules.

Start Presentation December 6, 2012 Light Sensitivity of Reaction Rates IV Furthermore, the reaction rates need to be modified: Br 2 = – k 1 + k 2 – k 5 Br · = 2 k 1 – 2 k 2 – k 3 + k 4 + k 5 H 2 = – k 3 + k 4 H · = k 3 – k 4 – k 5 HBr = k 3 – k 4 + k 5  k 1 ’ · I · n Br 2  2k 1 ’ · I · n Br 2 At room temperature, k 1 is almost equal to 0, but k 1 ’ is not.

Start Presentation December 6, 2012 Electrolysis I Chemical reactions can also be influenced by applying an electrical field. In a solution, molecules are often ionized, i.e., they either lack or have a surplus of negatively charged electrons. Ions are thus either positively or negatively charged. For example, salts dissolve in aqueous solutions into individual ions. H 2 O + HCl  H 3 O + + Cl  Positively charged ion Negatively charged ion Since ions are electrically charged, they can be physically separated from each other by applying an electrical field.

Start Presentation December 6, 2012 Electrolysis II In water, there exists an equilibrium between water molecules, and positively and negatively charged ions. If the pH value of the water is changed by adding a drop of either an acid, such as sulphuric acid, H 2 SO 4, or alkali, such as potash lye, KOH, the number of ions in the solution will be drastically enhanced. If two metal plates are dipped into the water and an electric field is created by connecting a voltage source to these two plates, the negatively charged ions will migrate towards the anode, whereas the positively charged ions will migrate towards the cathode. 2H 2 O ⇌ H 3 O + + HO 

Start Presentation December 6, 2012 Electrolysis III In the electrolysis of water, the following reactions take place: Reactions k 2 and k 3 are fast equilibrium reactions. The surplus electrons from the second reaction k 1 wander from the anode through the voltage source back to the cathode, where they are recycled in the first reaction. 4H 3 O + + 4e   2H 2 + 4H 2 O 4OH   2H 2 O + O 2 + 4e  2H 2 O  H 3 O + + OH  H 3 O + + OH   2H 2 O k1k1 k1k1 k2k2 k3k3

Start Presentation December 6, 2012 Electrolysis IV It may be interesting to look at the reaction rate equations. Since the “meeting” of the 4 ions at the electrode is not stochastic, but driven by the electric field, the corresponding reaction rate does not go with the fourth power of the molar mass of these ions. A certain minimal voltage, u 0, is needed to polarize the ions, before they start migrating to the electrodes. Thus, we can write: k1a  = k 1 · (u – u 0 ) · n H 3 O +

Start Presentation December 6, 2012 Electrolysis V Thus, the set of reaction rate equations can be written as: H 3 O + = -4k 1 (u – u 0 )n H 3 O + + k 2 · (n H 2 O ) 2 /V  k 3 · n H 3 O + · n OH  /V OH  = -4k 1 (u – u 0 )n OH  + k 2 · (n H 2 O ) 2 /V  k 3 · n H 3 O + · n OH  /V H 2 O  = 4k 1 (u – u 0 )n H 3 O + + 2k 1 (u – u 0 )n OH   2k 2 · (n H 2 O ) 2 /V  H   = 2k 1 (u – u 0 )n H 3 O +  O   = k 1 (u – u 0 )n OH  + 2k 3 · n H 3 O + · n OH  /V

Start Presentation December 6, 2012 Electrolysis VI This can be rewritten as: H 3 O + = -4 k1a + k2  k3 OH  = -4 k1b + k2  k3 H 2 O  = 4 k1a + 2 k1b   2 k2 + 2 k3  H   = 2 k1a  O   = k1b k1a = k 1 (u – u 0 )n H 3 O + k1b = k 1 (u – u 0 )n OH  k2  = k 2 · (n H 2 O ) 2 /V  k3  = k 3 · n H 3 O + · n OH  /V Since the two ions are always created in pairs: n H 3 O + = n OH   k1a = k1b

Start Presentation December 6, 2012 Electrolysis VII Thus: H 3 O + = -4 k1 + k2  k3 OH  = -4 k1 + k2  k3 H 2 O  = 6 k1   2 k2 + 2 k3  H   = 2 k1  O   = k1 k1 = k 1 · (u – u 0 ) · n H 3 O + k2  = k 2 · (n H 2 O ) 2 /V  k3  = k 3 · n H 3 O + · n OH  /V } N-matrix  H 3 O +  4 +1  1 k1 OH   4 +1  1 · k2  H   +  0 0  O   +  0 0 H 2 O  = +   1 +2 k3

Start Presentation December 6, 2012 Electrolysis VIII We need to ask ourselves, what happens with the external electrical power that is introduced into the system. The power supply “sees” a resistor that consumes the power u·i. Resistors usually generate heat. In fact, there really is no choice in the matter. The power that is introduced has to be accounted for in the Gibbs equation, which is used to determine the entropy flow. Thus, the resistor indeed heats up the system. T · S k1 = p · q k1 + u · i  ·  k1 ·

Start Presentation December 6, 2012 Until now, we always assumed that the reactants are ideally mixed. In gas reactions, this assumption holds true quite well. In liquid reactions, the same cannot be said. The more highly viscous a liquid is, the less likely it is homogeneous. We may need to stir, in order to mix the reactants well. Nothing really happens to the reaction equations, since these were created under the assumption of an ideal mixture. Yet, the stirring causes viscous friction, which creates heat. Stirred Reactors I

Start Presentation December 6, 2012 The entire power of stirring, except for what is stored in the mechanical inertia of the paddle gets converted to heat. It is most convenient to add this entropy at the component side, more precisely at the 0-junctions next to the CF- fields, and simply split it among the reactants in proportion to their relative mass. Stirred Reactors II

Start Presentation December 6, 2012 References Cellier, F.E. (1991), Continuous System Modeling, Springer-Verlag, New York, Chapter 9.Continuous System ModelingChapter 9 Brooks, B.A. and F.E. Cellier (1993), “Modeling of a Distillation Column Using Bond Graphs,” Proc. ICBGM’93, Intl. Conf. on Bond Graph Modeling and Simulation, La Jolla, CA, pp. 315 – 320.Modeling of a Distillation Column Using Bond Graphs Brooks, B.A. (1993), Modeling of a Distillation Column using Bond Graphs, MS Thesis, Dept. of Electrical & Computer Engineering, University of Arizona.Modeling of a Distillation Column using Bond Graphs