<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1909-8367</journal-id>
<journal-title><![CDATA[Entre Ciencia e Ingeniería]]></journal-title>
<abbrev-journal-title><![CDATA[Entre Ciencia e Ingenieria]]></abbrev-journal-title>
<issn>1909-8367</issn>
<publisher>
<publisher-name><![CDATA[Universidad Católica de Pereira]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1909-83672019000200059</article-id>
<article-id pub-id-type="doi">10.31908/19098367.1163</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Esquema de control jerárquico para fijación óptima de consignas en un separador trifásico de un tren de tratamiento de crudo]]></article-title>
<article-title xml:lang="en"><![CDATA[Hierarchical control scheme for optimal setting of setpoints in a three-phase separator of a crude treatment train]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez]]></surname>
<given-names><![CDATA[S. A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gaviria]]></surname>
<given-names><![CDATA[C. A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad del Cauca  ]]></institution>
<addr-line><![CDATA[Popayán ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad del Cauca  ]]></institution>
<addr-line><![CDATA[Popayán ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<volume>13</volume>
<numero>26</numero>
<fpage>59</fpage>
<lpage>67</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S1909-83672019000200059&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S1909-83672019000200059&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S1909-83672019000200059&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: Una de las técnicas para tratar el crudo proveniente de los pozos petroleros es utilizar trenes de tratamiento de crudo para separar las tres fases existentes: gas, petróleo y agua. Uno de los equipos que conforma el tren es el separador trifásico. En este trabajo se demuestra la viabilidad de utilizar un esquema de control jerárquico para la fijación en línea de consignas óptimas de presión y temperatura y así reducir el consumo energético en el tratador térmico. Tal que las variables manipulas y los sets point se encuentren dentro de los límites de la operación segura, con esto se obtienen beneficios económicos y ambientales para esta planta. El logro de esta optimización constituye el aporte principal de este trabajo. Para el desarrollo de este trabajo se diseñó un algoritmo de optimización basado en tres capas jerárquicas en donde la primera capa hace referencia al control directo (PIDs), la segunda capa hace referencia a la optimización de objetivos en estado estacionario (SSTO), la tercera capa hace referencia a la optimización local de objetivos (LSSO). Para la solución a este problema se recurrió a soluciones de optimización lineal y optimización no lineal se relaciona estos algoritmos con el modelo linealizado de la planta, en otros trabajos por lo general se basan en la teoría MPC (Modelo de Control Predictivo). La simulación de los algoritmos se realizó en Matlab y se probaron en una planta simulada en Hysys utilizando el conector Active x server que conecta los dos softwares. En este experimento se logró un ahorro de un 30 % del consumo energético a su vez se encontró que es posible relacionar el modelo de la planta con los algoritmos de optimización lineal y no lineal con lo cual se concluyó que es viable la implementación de estos algoritmos en este tipo de plantas para la optimización de procesos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: one of the techniques to treat oil from oil wells is to use oil treatment trains to separate the three existing phases: gas, oil and water. One of the equipments that makes up the train is the three-phase separator. This work demonstrates the feasibility of using a hierarchical control scheme for an online setting of optimal pressure and temperature setpoints and thus reducing energy consumption in the heat treater. So that the manipulated variables and the set points are within the limits of the safe operation, this provides an economic and environmental benefit for this plant. The achievement of this optimization is the main contribution of this work. For the development of this work, we designed an optimization algorithm based on three hierarchical layers where the first layer refers to direct control (PIDs), the second layer refers to the optimization of steady-state objectives (SSTO), the third layer refers to local optimization of objectives (LSSO). For the solution to this problem, we resorted to solutions of linear optimization and nonlinear optimization these algorithms are related to the linearized model of the plant, in other works are usually based on the theory MPC (Predictive Control Model). The simulation of the algorithms was done in Matlab and tested in a simulated plant in Hysys using the Active x server connector that connects the two software. In this experiment, it was possible to save 30% of energy consumption. In turn, it was found that it is possible to relate the plant model with the linear and non-linear optimization algorithms, which concluded that the implementation of these algorithms is feasible in this type of plant for process optimization.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Separador trifásico]]></kwd>
<kwd lng="es"><![CDATA[Sistemas jerárquicos]]></kwd>
<kwd lng="es"><![CDATA[Control Multicapa]]></kwd>
<kwd lng="es"><![CDATA[Optimización de consignas]]></kwd>
<kwd lng="es"><![CDATA[Optimización Local de Objetivos]]></kwd>
<kwd lng="es"><![CDATA[Optimización de Objetivos en estado estacionario]]></kwd>
<kwd lng="es"><![CDATA[Modelo de Control Predictivo]]></kwd>
<kwd lng="en"><![CDATA[Three-phase separator]]></kwd>
<kwd lng="en"><![CDATA[Hierarchical systems]]></kwd>
<kwd lng="en"><![CDATA[Multilayer control]]></kwd>
<kwd lng="en"><![CDATA[Optimization of setpoint]]></kwd>
<kwd lng="en"><![CDATA[Local Optimization of Objectives]]></kwd>
<kwd lng="en"><![CDATA[Optimization of Targets in steady-state]]></kwd>
<kwd lng="en"><![CDATA[Predictive Control Model]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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