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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Optimization of chemical reactions by economic criteria based on kinetics of the process</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>K.F. Koledina</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>S.N. Koledin</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>I.M. Gubaydullin</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Institute of Petrochemistry and Catalysis, Russian Academy of Sciences</institution>
          ,
          <addr-line>Prospect Oktyabrya 141, 450075, Ufa</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Ufa State Petroleum Technological University</institution>
          ,
          <addr-line>Kosmonavtov St. 1, 450062, Ufa</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2017</year>
      </pub-date>
      <fpage>5</fpage>
      <lpage>9</lpage>
      <abstract>
        <p>The paper deals with the formulation and solution of the inverse kinetic problem, methods of chemical reactions optimization by economic criteria on the basis of a process kinetic model. Yield of a target product, productivity, profit and productivity are considered as indicators. "Green chemistry" is a scientific direction in chemistry, which can include any improvement in chemical processes that positively affects the environment. "Green chemistry" involves the use of low-toxic and non-toxic initial reagents. Twelve principles of green chemistry should be noted, which were developed by scientists Anastas P. and Warner J. [1] which are used by scientists: 1. It is better to prevent waste than to treat or clean up waste product after it is formed. 2. Synthesis methods should be designed to maximize the incorporation of all materials used in the process into the final product. 3. Wherever practicable, methodologies of synthesis should be designed to use and generate substances that possess little or no toxicity to human health and the environment. 4. Chemical products should be designed to preserve their efficiency and usage while reducing toxicity. 5. Better to not use at all auxiliary substances (e.g. solvents, separation agents, etc.) if there are any, they must be innocuous when used. 6. Energy requirements should be recognized for their environmental and economic impacts and should be minimized. Synthesis methods should be conducted at ambient temperature and pressure. 7. A raw material or feedstock should be renewable rather than depleting wherever technically and economically practicable. 8. Reduce amount of receiving intermediate products whenever its possible (blocking group, protection / deprotection, temporary modification). 9. Catalytic reagents (as selective as possible) are better then stoichiometric reagents. 10.Chemical products should be designed so that at the end of their function they do not persist in the environment and break down into innocuous products. 11.Analytical methodologies need to be further developed to allow for real-time, in-process monitoring and control prior to the formation of hazardous substances. 12.Substances and the form of a substances used in a chemical process should be chosen to minimize potential for chemical accidents, including releases, explosions, and fires. The reaction of alcohols with dimethyl carbonate (DMC) meets many of these principles. DMC is an effective substitute for toxic methyl halides (MeX, X = I, Br, Cl) and phosgene (3th, 4th principles). It is produced with CO2 as initial reagent. For reactions, involving DMC, only a catalytic amount of transition metal complexes is required, resulting in no waste (10th principle). According to the literature, the reactivity of DMC is moderate [2-6]. In order to reduce the energy costs of the reaction (6th principle), catalysts are used. As a result, alkylmethyl esters of alcohols and alkylmethyl carbonates are formed with the process selectivity of 95-98% (2 th, 6 th, 9 th principles). The reaction is new, it is implemented only in the laboratory. To study its mechanism, it is necessary to develop a mathematical model and, based on the results of the constructed mathematical model, to carry out optimization. The reaction of DMC with alcohol in the presence of the catalyst W (CO) 6 leads to the formation of four products: ROMe, ROCO2Me, CO2andMeOH. ROH + (MeO)2CO W( CO)6 ROMe + ROCO2Me + CO2 +MeOH A mathematical model of chemical kinetics is a system of nonlinear ordinary differential equations (SNODE) with the initial given data, i.e. the Cauchy problem (1) [7].</p>
      </abstract>
      <kwd-group>
        <kwd>dimethylcarbonate</kwd>
        <kwd>kinetic model</kwd>
        <kwd>theoretical optimization</kwd>
        <kwd>economic criteria</kwd>
        <kwd>Hooke-Jeeves method</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
    </sec>
    <sec id="sec-2">
      <title>2. Mathematical model</title>
      <p>J
dxi   vij w j , i  1,...I ,
dt j1</p>
      <p> E   I ij  E   I ij
w j  k 0j  exp  RTj   i1 ( xi )  k0 j  exp  RTj   i1 ( xi )
initial conditions: att = 0, xi(0) =xio;
where νij is stoichiometric coefficients; J is number of stages; xi is concentration of substances participating in the reaction,
mol/l; I is number of substances; wj is j-th speed stage, 1 / min; kj,k-j is rate constants of direct and reverse reactions; Ej+, Ej- is
activation energies of direct and reverse reactions, kJ/mol; R is universal gas constant, equal to 8.31 kJ / (mol * K); T is
temperature, K; ij is negative elements of the matrix (νij);  ij is positive elements (νij); kj0, k-j0 is pre-exponential factors, 1 / min.</p>
      <p>The solution of the direct problem is the SNODE solution with initial data and given kinetic parameters up to some fixed time
t*.</p>
      <p>Such SNODE tasks of chemical kinetics are mostly stiff systems. Therefore, for their numerical solution Implicit
Rosenbrock third-fourth order Runge-Kutta method is used with degree three interpolating the Maple [8] and the multi-step Gir
method of variable order in Matlab.</p>
      <p>
        The inverse problem is the determination of the kinetic parameters by matching the calculated kinetic curves with the
experimental ones by functional (
        <xref ref-type="bibr" rid="ref2">2</xref>
        ).
      </p>
      <p>
        Q I
  x rpi  x epi (
        <xref ref-type="bibr" rid="ref2">2</xref>
        )
q1 i1
where xexp and xcpailc is experimental and calculated concentrations of components; I is number of substances; Q is number of
pi
measuring points.
      </p>
      <p>
        The inverse problem was solved in the Matlab environment using the genetic algorithm and the Hook-Jeeves direct search
method [9].
(
        <xref ref-type="bibr" rid="ref1">1</xref>
        )
      </p>
    </sec>
    <sec id="sec-3">
      <title>3. Results and Discussion</title>
      <p>W(CO)6E1 = 31.7
(18)</p>
      <p>W(CO)5</p>
      <p>(22)
CO
(16)
Sr
 xsource(t*,T )  source  (t*,T )  A
source1
a) for catalyst amount 0.001 mol, T = 160°C b) for catalyst amount 0.003 mol, T = 200°C
Fig.2. Graph of correspondence of experimental data (points) and calculated values (lines) of observed substrates concentration changing according to the
scheme of chemical transformations in the presence of W(CO)6.</p>
      <p>
        R : E 
2) Profit. The profit depends on difference between price of product and its cost, as well as on output (
        <xref ref-type="bibr" rid="ref5">5</xref>
        ).
      </p>
      <p>
        Pr Sr
R : E   x prod ( t*,T )  η prod   xsource( t*,T )  ηsource  ψ( t*,T )  A  max (
        <xref ref-type="bibr" rid="ref5">5</xref>
        )
prod1 source1
where xprod is concentration of reaction products; xsource is concentration of initial reagents; η is weight of components
(normalized);ψ(t) is variable costs (normalized); A is constant costs (normalized);Pr is number of products ;Sr is number of
initial reagents; E is normalized profit.
      </p>
      <p>
        3) Profitability. Profitability is defined as the ratio of the amount of profit to the volume of investment (
        <xref ref-type="bibr" rid="ref6">6</xref>
        ).
      </p>
      <p>
        Pr
 x prod (t*,T )  prod
prod1
 max
(
        <xref ref-type="bibr" rid="ref6">6</xref>
        )
where P is normalized profitability.
      </p>
      <p>
        Assuming an idle time between cycles of 1 hour (60 min.), the values of maximum process productivity and productivity at
maximum yield of target product X5 are given in Table 1 for reaction with tungsten hexacarbonyl catalyst by (
        <xref ref-type="bibr" rid="ref4">4</xref>
        ).
      </p>
      <p>Thus, it can be seen that with DMC maximum possible conversion, an economically optimal solution is not achieved,
because smaller conversion value corresponds to shorter reaction time, which leads to an increase in overall productivity.</p>
      <p>
        The value of profit is determined by (
        <xref ref-type="bibr" rid="ref5">5</xref>
        ). The weights of substances depend on the cost of reagents on the market according
to http://www.acros.com and http://www.sigmaaldrich.com. Then the graph of profit changing from time for different values of
temperature has the form (Fig. 3).
      </p>
      <p>Figure 3 shows the following patterns:
a) There is a temperature range with positive profits, and if the temperature is higher, maximum profit is attained earlier
(170220°C). It is worth noting that the decrease in the value of profit occurs more sharply, if the temperature is higher. This is
probably because at a high temperature the reaction conversion occurs faster. When one of the reagents (alcohol) is completely
consumed, value of the second reagent conversion cannot be increased and profit decreases due to variable costs (for example,
to maintain a temperature).</p>
      <p>b) At a temperature of 150°C, the profit value goes to negative area, but you can also see maximum profit (or minimum loss).</p>
      <p>Profitability changing in the process from time is shown in Figure 4.</p>
      <p>Figure 4 shows that the profitability reaches a maximum and decreases with time, which is explained by the costs of
maintaining the set temperature. With increasing temperature, a maximum value of profitability comes earlier.</p>
      <p>Each curve for the profit margin, as well as the productivity and yield of the target product passes through a maximum. From
the points of maximums, we construct the optimum temperature profile, putting in correspondence to each instant of time the
temperature at which the maximum of the target criterion is reached. Then the optimum temperature profile for all the indicators
will take the form (Fig. 5).</p>
      <p>The above reaction temperature profiles characterize the optimal reaction conditions (temperature and reaction time). Based
on the results of the work, the overall temperature profile is given for all targets.</p>
      <p>Computer Modeling / K.F. Koledina, S.N. Koledin, I.M. Gubaydullin</p>
      <p>The overall temperature profile (Figure 5) for tungsten catalysts clearly demonstrates high correlation between productivity
and profitability, as well as between yield and profit.</p>
    </sec>
    <sec id="sec-4">
      <title>4. Conclusion</title>
      <p>The catalytic reaction of alcohols with DMC in the presence of tungsten hexacarbonyl is considered in this work. The
formulation and solution of the inverse kinetic problem, the method of optimization of chemical reactions by economic criteria
based on the kinetic model of the process are given. As indicators, the yield of the target product, productivity, profit and
profitability are considered. For the reaction of alcohols with DMC in the presence of W(CO)6, correlations are observed
between productivity and profitability, as well as between yield and profit.</p>
    </sec>
    <sec id="sec-5">
      <title>Acknowledgements References</title>
      <p>The work was supported by Russian Foundation for Basic Research N 15-07-01764 A.</p>
    </sec>
  </body>
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