<?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>1665-5346</journal-id>
<journal-title><![CDATA[Revista mexicana de economía y finanzas]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. econ. finanz]]></abbrev-journal-title>
<issn>1665-5346</issn>
<publisher>
<publisher-name><![CDATA[Instituto Mexicano de Ejecutivos de Finanzas A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1665-53462019000300353</article-id>
<article-id pub-id-type="doi">10.21919/remef.v14i3.308</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Costo de generación eléctrica incorporando externalidades ambientales: Mezcla óptima de tecnologías de carga base]]></article-title>
<article-title xml:lang="en"><![CDATA[Cost of electric generation accounting for environmental externalities: Optimal mix of baseload technologies]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gómez-Ríos]]></surname>
<given-names><![CDATA[María del Carmen]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Juárez-Luna]]></surname>
<given-names><![CDATA[David]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Anáhuac México-Norte  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2019</year>
</pub-date>
<volume>14</volume>
<numero>3</numero>
<fpage>353</fpage>
<lpage>377</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1665-53462019000300353&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1665-53462019000300353&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1665-53462019000300353&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El objetivo de este artículo es calcular el Costo Total Nivelado de Generación con Externalidades (CTNGE) de tres tecnologías de carga base: termoeléctrica de carbón, ciclo combinado y central nuclear. Se emplea simulación Monte Carlo para estimar las densidades de probabilidad de los CTNGE. Se emplea la teoría de portafolio para encontrar la mezcla de tecnologías que brinden el CTNGE menos riesgoso y con menor media. Se encuentra que la central nuclear tiene los menores CTNGE. Siendo la termoeléctrica de carbón la tecnología con mayores y más riesgosos CTNGE. El análisis sugiere que, al generar electricidad, conviene dejar fuera a la termoeléctrica de carbón y centrarse en dos tecnologías: ciclo combinado y central nuclear, asignando a ésta última una mayor participación. Una limitante del trabajo es que las densidades de probabilidad de los CTNGE estimadas a través de la simulación Monte Carlo dependen de los datos empleados. El presente análisis sugiere que el CTNGE se puede modificar significativamente al incluir el costo del CO2.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This paper aims to calculate the Total Levelized Cost of Generation with Externalities (CTNGE, in Spanish) of three baseload technologies: coal thermoelectric, combined cycle and nuclear power plant. Monte Carlo simulation is used to estimate the CTNGE probability densities. The portfolio theory is used to find the mix of technologies that provides the least risky CTNGE and with the lowest average. We find that the nuclear power plant has the lowest CTNGE. The coal-fired thermoelectric plant is thetechnology with the largest and riskiest CTNGE. The analysis suggests that, when generating electricity, it is convenient to leave out the coal-fired thermoelectric plant and focus on two technologies: combined cycle and nuclear power plant, assigning a higher participation to the latter. One limitation of the work is that the probability densities of the CTNGE estimated through the Monte Carlo simulation depend on the data used. The present analysis suggests that the CTNGE can be significantly modified by including the cost of CO2.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Emisiones de CO2]]></kwd>
<kwd lng="es"><![CDATA[Generación]]></kwd>
<kwd lng="es"><![CDATA[Electricidad]]></kwd>
<kwd lng="es"><![CDATA[Costos nivelados]]></kwd>
<kwd lng="es"><![CDATA[D81]]></kwd>
<kwd lng="es"><![CDATA[G11]]></kwd>
<kwd lng="es"><![CDATA[Q40]]></kwd>
<kwd lng="es"><![CDATA[Q53]]></kwd>
<kwd lng="en"><![CDATA[CO2 Emissions]]></kwd>
<kwd lng="en"><![CDATA[Generation]]></kwd>
<kwd lng="en"><![CDATA[Electricity]]></kwd>
<kwd lng="en"><![CDATA[Levelized Cost]]></kwd>
<kwd lng="en"><![CDATA[D81]]></kwd>
<kwd lng="en"><![CDATA[G11]]></kwd>
<kwd lng="en"><![CDATA[Q40]]></kwd>
<kwd lng="en"><![CDATA[Q53]]></kwd>
</kwd-group>
</article-meta>
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