Estudio de la eficiencia relativa de la generación eléctrica a partir de fuentes renovables y no renovables de energía, aplicando Data Envelopment Analysis (DEA)

dc.contributor.advisorRodríguez Lozano, Gloria Isabelspa
dc.contributor.authorCifuentes Yate, Michael Stivensspa
dc.date.accessioned2020-08-27T19:22:09Zspa
dc.date.available2020-08-27T19:22:09Zspa
dc.date.issued2020-05-14spa
dc.description.abstractThis study evaluates the relative efficiency of electricity generation from renewable and non-renewable energy sources. The measurement is carried out for 126 countries (including Colombia) from different continents that correspond to DMUs, in the period of time between the years 2000 and 2016, using the methodology of Data Envelopment Analysis (DEA). The DEA model used is BCC output-oriented. Two evaluations are executed, discriminating between total electricity generation and generation from renewable sources only. The input variables selected in the DEA model correspond to the generation capacities of electricity sources such as: coal, oil, natural gas, nuclear, hydro, wind, solar, geothermal, tidal, biomass and waste; while, the output variables of the model are the amounts of electricity produced by each of these sources, and additionally, the amount of CO2e avoided by each country due to the use of renewable energies in electricity production. The results showed that only Canada and Paraguay were efficient in both evaluations, using mainly hydroelectricity; while, most countries (including Colombia) were set at the efficiency level between 60.0% and 79.9% throughout the study period. It is highlighted that Paraguay is the only reference country in both evaluations, being at the same time, the main reference of electricity generation for Colombia.spa
dc.description.abstractEn el presente estudio se evalúa la eficiencia relativa de la generación eléctrica a partir del uso de las fuentes renovables y no renovables de energía. La medición se lleva a cabo para 126 países (incluyendo a Colombia) de diferentes continentes que corresponden a las DMU, en el periodo de tiempo entre los años 2000 y 2016, utilizando la metodología de Data Envelopment Analysis (DEA). El modelo DEA utilizado es BCC orientado a las salidas. Se ejecutan dos evaluaciones, discriminando entre la generación total de electricidad y la generación únicamente a partir de las fuentes renovables. Las variables de entrada seleccionadas en el modelo DEA corresponden a las capacidades de generación de las fuentes de electricidad tales como: carbón, petróleo, gas natural, nuclear, hidroelectricidad, eólica, solar, geotérmica, mareomotriz, biomasa y residuos; mientras que, las variables de salida del modelo son las cantidades de energía eléctrica producidas por cada una de esas fuentes, y adicionalmente, la cantidad de CO2e evitado por cada país debido al uso de las energías renovables en la producción de electricidad. Los resultados mostraron que solamente Canadá y Paraguay fueron eficientes en ambas evaluaciones, utilizando principalmente la hidroelectricidad; mientras que, la mayoría de los países (incluyendo a Colombia) se establecieron en el nivel de eficiencia entre el 60.0% y el 79.9% a lo largo de todo el periodo de estudio. Se destaca que Paraguay es el único país referente en ambas evaluaciones, siendo a su vez, la principal referencia de la generación eléctrica para Colombia.spa
dc.description.additionalLínea de Investigación: Ingeniería Térmica y Fluidosspa
dc.description.degreelevelMaestríaspa
dc.format.extent152spa
dc.format.mimetypeapplication/pdfspa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/78278
dc.language.isospaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotáspa
dc.publisher.programBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería Mecánicaspa
dc.relation.references[1] C.-N. Wang, Q.-C. Luu, y T.-K.-L. Nguyen, «Measuring Efficiency of Generating Electric Processes», Processes, vol. 7, n.o 1, p. 6, dic. 2018, doi: 10.3390/pr7010006.spa
dc.relation.references[2] R. Kiani Mavi, R. F. Saen, y M. Goh, «Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: A big data approach», Technological Forecasting and Social Change, vol. 144, pp. 553-562, jul. 2019, doi: 10.1016/j.techfore.2018.01.035.spa
dc.relation.references[3] J. Barabutu y H. Lee, «An empirical analysis of the efficiency determinants in the Southern African electricity sector: evidence and policy implications», Geosystem Engineering, vol. 21, n.o 1, pp. 31-42, ene. 2018, doi: 10.1080/12269328.2017.1353445.spa
dc.relation.references[4] A. Sözen y F. Karık, «Comparison of Turkey’s renewable energy performance with OECD and BRICS countries by multiple criteria», Energy Sources, Part B: Economics, Planning, and Policy, vol. 12, n.o 5, pp. 487-494, may 2017, doi: 10.1080/15567249.2016.1200163.spa
dc.relation.references[5] M. Robaina y M. F. Dias, «Energy Efficiency and its Determinants: An Empirical Analysis», en 2018 15th International Conference on the European Energy Market (EEM), Lodz, jun. 2018, pp. 1-5, doi: 10.1109/EEM.2018.8469871.spa
dc.relation.references[6] R. Nadimi y K. Tokimatsu, «Evaluation of the energy system through data envelopment analysis: Assessment tool for Paris Agreement», Energy Procedia, vol. 158, pp. 3464-3469, feb. 2019, doi: 10.1016/j.egypro.2019.01.926.spa
dc.relation.references[7] C. Lo Storto y B. Capano, «A dynamic efficiency analysis of the European renewable energy capacity between 2002 and 2011», presentado en Advanced Materials Research, 2015, vol. 1079, pp. 1274-1279.spa
dc.relation.references[8] D. Borozan y D. P. Starcevic, «European energy industry: Managing operations on the edge of efficiency», Renewable and Sustainable Energy Reviews, vol. 116, p. 109401, dic. 2019, doi: 10.1016/j.rser.2019.109401.spa
dc.relation.references[9] A. Valadkhani, I. Roshdi, y R. Smyth, A multicomponent DEA approach to measure the economic and energy efficiencies of OECD countries. Monash University, Department of Economics, 2015.spa
dc.relation.references[10] M. Papież, S. Śmiech, y K. Frodyma, «Factors affecting the efficiency of wind power in the European Union countries», Energy Policy, vol. 132, pp. 965-977, sep. 2019, doi: 10.1016/j.enpol.2019.06.036.spa
dc.relation.references[11] P. Zurano-Cervelló, C. Pozo, J. M. Mateo-Sanz, L. Jiménez, y G. Guillén-Gosálbez, «Electricity mix assessment of the EU member countries using DEA and EffMixF», en Computer Aided Chemical Engineering, vol. 43, Elsevier, 2018, pp. 445-450.spa
dc.relation.references[12] G. Makridou, K. Andriosopoulos, M. Doumpos, y C. Zopounidis, «Measuring the efficiency of energy-intensive industries across European countries», Energy Policy, vol. 88, pp. 573-583, ene. 2016, doi: 10.1016/j.enpol.2015.06.042.spa
dc.relation.references[13] N. O. Dogan y C. T. Tugcu, «Energy Efficiency in Electricity Production: A Data Envelopment Analysis (DEA) Approach for the G-20 Countries», International Journal of Energy Economics and Policy, vol. 5, n.o 1, p. 7, 2015.spa
dc.relation.references[14] J. Li, X. Geng, y J. Li, «A Comparison of Electricity Generation System Sustainability among G20 Countries», Sustainability, vol. 8, n.o 12, p. 1276, dic. 2016, doi: 10.3390/su8121276.spa
dc.relation.references[15] G. Araujo, «Eficiencia técnica de los niveles de electrificación de países latinoamericanos», Revista Digital de Investigación y Postgrado (REDIP), vol. 5, n.o 4, pp. 977-993, 2015.spa
dc.relation.references[16] L. Sánchez, C. Vásquez, y A. Viloria, «The Data Envelopment Analysis to Determine Efficiency of Latin», International Journal of Energy Economics and Policy, vol. 8, n.o 3, p. 12, 2018.spa
dc.relation.references[17] B.-C. Xie, L.-F. Shang, S.-B. Yang, y B.-W. Yi, «Dynamic environmental efficiency evaluation of electric power industries: Evidence from OECD (Organization for Economic Cooperation and Development) and BRIC (Brazil, Russia, India and China) countries», Energy, vol. 74, pp. 147-157, sep. 2014, doi: 10.1016/j.energy.2014.04.109.spa
dc.relation.references[18] C. Woo, Y. Chung, D. Chun, H. Seo, y S. Hong, «The static and dynamic environmental efficiency of renewable energy: A Malmquist index analysis of OECD countries», Renewable and Sustainable Energy Reviews, vol. 47, pp. 367-376, jul. 2015, doi: 10.1016/j.rser.2015.03.070.spa
dc.relation.references[19] C.-N. Wang, Q.-C. Luu, y T.-K.-L. Nguyen, «Estimating Relative Efficiency of Electricity Consumption in 42 Countries during the Period of 2008–2017», Energies, vol. 11, n.o 11, p. 3037, nov. 2018, doi: 10.3390/en11113037.spa
dc.relation.references[20] T. Sueyoshi y Y. Yuan, «Measuring energy usage and sustainability development in Asian nations by DEA intermediate approach», Economic Structures, vol. 7, n.o 1, p. 6, dic. 2018, doi: 10.1186/s40008-017-0100-0.spa
dc.relation.references[21] A. Mezősi, L. Szabó, y S. Szabó, «Cost-efficiency benchmarking of European renewable electricity support schemes», Renewable and Sustainable Energy Reviews, vol. 98, pp. 217-226, dic. 2018, doi: 10.1016/j.rser.2018.09.001.spa
dc.relation.references[22] F. Gökgöz y M. T. Güvercin, «Energy Security and Efficiency Analysis of Renewable Technologies», en Energy Security and Efficiency Analysis of Renewable Technologies, J. Stagner y D. Ting, Eds. Cham: Springer, 2020, pp. 163-183.spa
dc.relation.references[23] K. Khalili-Damghani, M. Tavana, y E. Haji-Saami, «A data envelopment analysis model with interval data and undesirable output for combined cycle power plant performance assessment», Expert Systems with Applications, vol. 42, n.o 2, pp. 760-773, feb. 2015, doi: 10.1016/j.eswa.2014.08.028.spa
dc.relation.references[24] R. Chandel y H. Singh, «Performance evaluation of state-owned thermal power plants in northern India using DEA», International Journal of Global Energy Issues, vol. 40, n.o 6, pp. 380-399, 2017.spa
dc.relation.references[25] T. Sueyoshi y M. Goto, «Environmental assessment on coal-fired power plants in U.S. north-east region by DEA non-radial measurement», Energy Economics, vol. 50, pp. 125-139, jul. 2015, doi: 10.1016/j.eneco.2015.04.016.spa
dc.relation.references[26] W. D. Cook, J. Du, y J. Zhu, «Units invariant DEA when weight restrictions are present: ecological performance of US electricity industry», Ann Oper Res, vol. 255, n.o 1-2, pp. 323-346, ago. 2017, doi: 10.1007/s10479-015-1881-x.spa
dc.relation.references[27] S. Seifert, A. Cullmann, y C. von Hirschhausen, «Technical efficiency and CO2 reduction potentials — An analysis of the German electricity and heat generating sector», Energy Economics, vol. 56, pp. 9-19, may 2016, doi: 10.1016/j.eneco.2016.02.020.spa
dc.relation.references[28] C. Song, M. Li, F. Zhang, Y.-L. He, y W.-Q. Tao, «A data envelopment analysis for energy efficiency of coal-fired power units in China», Energy Conversion and Management, vol. 102, pp. 121-130, sep. 2015, doi: 10.1016/j.enconman.2014.12.062.spa
dc.relation.references[29] Ü. Saglam, «Analyzing the Efficiencies of Renewable Energy Sources with Data Envelopment Analysis», presentado en 2016 Annual Meeting of the Decision Sciences Institute Proceedings, Austin, TX, 2016.spa
dc.relation.references[30] K.-T. Kim, D. J. Lee, S.-J. Park, Y. Zhang, y A. Sultanov, «Measuring the efficiency of the investment for renewable energy in Korea using data envelopment analysis», Renewable and Sustainable Energy Reviews, vol. 47, pp. 694-702, jul. 2015, doi: 10.1016/j.rser.2015.03.034.spa
dc.relation.references[31] Á. Galán-Martín, G. Guillén-Gosálbez, L. Stamford, y A. Azapagic, «Enhanced data envelopment analysis for sustainability assessment: A novel methodology and application to electricity technologies», Computers & Chemical Engineering, vol. 90, pp. 188-200, jul. 2016, doi: 10.1016/j.compchemeng.2016.04.022.spa
dc.relation.references[32] T. Sueyoshi, Y. Yuan, y M. Goto, «A literature study for DEA applied to energy and environment», Energy Economics, vol. 62, pp. 104-124, feb. 2017, doi: 10.1016/j.eneco.2016.11.006.spa
dc.relation.references[33] T. Sueyoshi y Y. Yuan, «DEA Environmental Assessment (II): A Literature Study», en Handbook of Operations Analytics Using Data Envelopment Analysis, vol. 239, S.-N. Hwang, H.-S. Lee, y J. Zhu, Eds. Boston, MA: Springer US, 2016, pp. 445-481.spa
dc.relation.references[34] J. Sarkis, «Corporate Environmental Sustainability and DEA», en Handbook of Operations Analytics Using Data Envelopment Analysis, vol. 239, S.-N. Hwang, H.-S. Lee, y J. Zhu, Eds. Boston, MA: Springer US, 2016, pp. 483-498.spa
dc.relation.references[35] M. A. AlKhars, «Survey and analysis of the quantitative methods used in electricity research on GCC countries: 1983–2018», Heliyon, vol. 5, n.o 10, p. e02634, oct. 2019, doi: 10.1016/j.heliyon.2019.e02634.spa
dc.relation.references[36] M. Martín-Gamboa, D. Iribarren, D. García-Gusano, y J. Dufour, «A review of life-cycle approaches coupled with data envelopment analysis within multi-criteria decision analysis for sustainability assessment of energy systems», Journal of Cleaner Production, vol. 150, pp. 164-174, may 2017, doi: 10.1016/j.jclepro.2017.03.017.spa
dc.relation.references[37] T. Sueyoshi y M. Goto, «World trend in energy: an extension to DEA applied to energy and environment», Economic Structures, vol. 6, n.o 1, p. 13, dic. 2017, doi: 10.1186/s40008-017-0073-z.spa
dc.relation.references[38] D. Maradin y L. Cerović, «Possibilities of Applying the DEA Method in the Assessment of Efficiency of Companies in the Electric Power Industry: Review of Wind Energy Companies», International Journal of Energy Economics and Policy, vol. 4, n.o 3, pp. 320-326, 2014.spa
dc.relation.references[39] A. Mardani, E. K. Zavadskas, D. Streimikiene, A. Jusoh, y M. Khoshnoudi, «A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency», Renewable and Sustainable Energy Reviews, vol. 70, pp. 1298-1322, abr. 2017, doi: 10.1016/j.rser.2016.12.030.spa
dc.relation.references[40] B. Tolosa, «Evaluación de eficiencia en el sector de distribución de energía eléctrica en Colombia empleando la metodología de análisis envolvente de datos–DEA», Trabajo final de maestría, Facultad de Administración, Universidad Nacional de Colombia, Manizales, Colombia, 2013.spa
dc.relation.references[41] L. J. C. Ocampo, «Eficiencia de las empresas distribuidoras de energía eléctrica en Colombia: 2000-2010», Grafías Disciplinares de la UCPR, n.o 19, p. 12, 2012.spa
dc.relation.references[42] R. A. González, «Utilización del análisis envolvente de datos (DEA) en el desarrollo de una metodología para el establecimiento de costos eficientes de remuneración, en la administración, operación y mantenimiento de los sistemas de distribución», Trabajo final de maestría, Facultad de ingeniería, Universidad Nacional de Colombia, Bogotá, Colombia, 2010.spa
dc.relation.references[43] Ü. Saglam, «The Productive Efficiency Assessment of Wind Power Generation in the United States», en SSRN Electronic Journal, 2017, doi: 10.2139/ssrn.2988422.spa
dc.relation.references[44] C.-Y. Lee, «Distinguishing Operational Performance in Power Production: A New Measure of Effectiveness by DEA», IEEE Trans. Power Syst., vol. 30, n.o 6, pp. 3160-3167, nov. 2015, doi: 10.1109/TPWRS.2014.2372009.spa
dc.relation.references[45] S. Mullarkey, B. Caulfield, S. McCormack, y B. Basu, «A framework for establishing the technical efficiency of Electricity Distribution Counties (EDCs) using Data Envelopment Analysis», Energy Conversion and Management, vol. 94, pp. 112-123, abr. 2015, doi: 10.1016/j.enconman.2015.01.049.spa
dc.relation.references[46] L. N. Chávez, J. César, D. Ortega, V. Odette, y A. Díaz Pulido, «La Eficiencia del Sector Eléctrico en México 2008-2015.», Análisis Económico, vol. 34, n.o 85, 2019.spa
dc.relation.references[47] C. Quispe, «Eficiencia técnica en las empresas de distribución eléctrica de la Corporación FONAFE», Ingenium, vol. 01, n.o 01, oct. 2016, doi: 10.18259/ing.2016005.spa
dc.relation.references[48] C. Rempel, C. A. Diehl, V. D. Q. Martins, y P. B. Hansen, «Analysis of the relative technical efficiency of Brazilian electricity distribution companies: a DEA approach», R. Contemp. Contab., vol. 14, n.o 33, pp. 33-54, dic. 2017, doi: 10.5007/2175-8069.2017v14n33p33.spa
dc.relation.references[49] S. S. Xavier, J. W. M. Lima, L. M. M. Lima, y A. L. M. Lopes, «How Efficient are the Brazilian Electricity Distribution Companies?», J Control Autom Electr Syst, vol. 26, n.o 3, pp. 283-296, jun. 2015, doi: 10.1007/s40313-015-0178-2.spa
dc.relation.references[50] B. C. Ervural, B. Ervural, y S. Zaim, «Energy Efficiency Evaluation of Provinces in Turkey Using Data Envelopment Analysis», Procedia - Social and Behavioral Sciences, vol. 235, pp. 139-148, nov. 2016, doi: 10.1016/j.sbspro.2016.11.009.spa
dc.relation.references[51] Q. Wu, R. Jia, y H. Yu, «Study on Environmental Efficiency of Electric Power Industry Based on DEA Optimization Model», J. Inf. Comput. Sci., vol. 11, n.o 3, pp. 781-795, feb. 2014, doi: 10.12733/jics20102871.spa
dc.relation.references[52] S. Suzuki, P. Nijkamp, y P. Rietveld, «A target-oriented data envelopment analysis for energy-environment efficiency improvement in Japan», Energy Efficiency, vol. 8, n.o 3, pp. 433-446, jun. 2015, doi: 10.1007/s12053-014-9297-z.spa
dc.relation.references[53] D. Trindade, A. P. Barroso, y V. H. Machado, «Project Management Efficiency of a Portuguese Electricity Distribution Utility Using Data Envelopment Analysis», Procedia Computer Science, vol. 64, pp. 674-682, 2015, doi: 10.1016/j.procs.2015.08.583.spa
dc.relation.references[54] W. W. Cooper, Ed., Handbook on data envelopment analysis, Second edition. New York: Springer, 2011.spa
dc.relation.references[55] E. Thanassoulis, Introduction to the Theory and Application of Data Envelopment Analysis. Boston, MA: Springer US, 2001.spa
dc.relation.references[56] A. Charnes, W. W. Cooper, y E. Rhodes, «Measuring the efficiency of decision making units», European journal of operational research, vol. 2, n.o 6, pp. 429-444, 1978.spa
dc.relation.references[57] W. W. Cooper, L. M. Seiford, K. Tone, y W. W. Cooper, Introduction to data envelopment analysis and its uses: with DEA-solver software and references. New York: Springer, 2006.spa
dc.relation.references[58] J. Zhu, Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets, vol. 213. Springer, 2014.spa
dc.relation.references[59] G. I. Rodríguez Lozano, «Generación de metodología, aplicando data envelopment analysis (DEA), en el diseño de indicadores de eficiencia y productividad para la función de extensión de la Universidad Nacional de Colombia», Facultad de Ciencias Económicas, Universidad Nacional de Colombia, Bogotá, Colombia, 2009.spa
dc.relation.references[60] G. I. Rodríguez Lozano, «Medición de la eficiencia relativa en dos subsectores de la economía colombiana desde 1993 a 2002 utilizando Data Envelopment Analysis (DEA)», Innovar Revista de Ciencias Administrativas y Sociales, vol. 22, pp. 121-144, dic. 2003.spa
dc.relation.references[61] A. Charnes, W. W. Cooper, y E. Rhodes, «Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through», Management Science, vol. 27, n.o 6, pp. 668-697, jun. 1981, doi: 10.1287/mnsc.27.6.668.spa
dc.relation.references[62] V. Coll y O. M. Blasco, Eficiencia y Análisis Envolvente de Datos. Valencia, España: Universidad de Valencia, 2000.spa
dc.relation.references[63] M. J. Farrell, «The Measurement of Productive Efficiency», Journal of the Royal Statistical Society. Series A (General), vol. 120, n.o 3, p. 253, 1957, doi: 10.2307/2343100.spa
dc.relation.references[64] E. Alonso Navas, «Diseño e implementación de modelos DEA en presencia de entradas y salidas enteras. Aplicación al caso de células de fabricación», ETSI - Universidad de Sevilla, Sevilla, España.spa
dc.relation.references[65] R. D. Banker, A. Charnes, y W. W. Cooper, «Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis», Management Science, vol. 30, n.o 9, pp. 1078-1092, 1984.spa
dc.relation.references[66] J. C. C. B. Soares de Mello, L. Angulo Meza, J. Q. da Silveira, y E. G. Gomes, «About negative efficiencies in Cross Evaluation BCC input oriented models», European Journal of Operational Research, vol. 229, n.o 3, pp. 732-737, sep. 2013, doi: 10.1016/j.ejor.2013.02.020.spa
dc.relation.references[67] R. Färe, S. Grosskopf, y C. A. K. Lovell, The Measurement of Efficiency of Production. Dordrecht: Springer Netherlands, 1985.spa
dc.relation.references[68] «U.S. Energy Information Administration (EIA)». [Internet] https://www.eia.gov/international/data/world (accedido ago. 27, 2019).spa
dc.relation.references[69] «Data & Statistics - IEA». [Internet] http://iea.org/data-and-statistics (accedido ago. 28, 2019).spa
dc.relation.references[70] Monthly electricity statistics. With data up to January 2020. París, Francia: IEA, p.50. [En línea]. Disponible en https://www.iea.org/reports/monthly-oecd-electricity-statistics.spa
dc.relation.references[71] «Avoided Emissions Calculator (IRENA)». [Internet] https://www.irena.org/climatechange/Avoided-Emissions-Calculator (accedido ago. 30, 2019).spa
dc.relation.references[72] V. Coll, R. Benítez, y V. J. Bolós, Data Envelopment Analysis with deaR, 1.a ed. Valencia, España: Universidad de Valencia, 2018.spa
dc.relation.references[73] «R: The R Project for Statistical Computing». https://www.r-project.org/ (accedido oct. 14, 2019).spa
dc.rightsDerechos reservados - Universidad Nacional de Colombiaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial 4.0 Internacionalspa
dc.rights.spaAcceso abiertospa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/spa
dc.subject.ddc620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingenieríaspa
dc.subject.ddc330 - Economía::333 - Economía de la tierra y de la energíaspa
dc.subject.proposalDEAeng
dc.subject.proposalDEAspa
dc.subject.proposalData Envelopment Analysiseng
dc.subject.proposalAnálisis envolvente de datosspa
dc.subject.proposalRelative efficiencyeng
dc.subject.proposalEficiencia relativaspa
dc.subject.proposalElectricity generationeng
dc.subject.proposalGeneración eléctricaspa
dc.subject.proposalEnergías renovablesspa
dc.subject.proposalRenewable energieseng
dc.subject.proposalNon-renewable energieseng
dc.subject.proposalEnergías no renovablesspa
dc.titleEstudio de la eficiencia relativa de la generación eléctrica a partir de fuentes renovables y no renovables de energía, aplicando Data Envelopment Analysis (DEA)spa
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

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