dc.contributor | Arias-Gaviria, Jessica | |
dc.contributor | Arango Aramburo, Santiago | |
dc.contributor | Ciencias de la decisión | |
dc.creator | Marrero Trujillo, Verónica | |
dc.date.accessioned | 2021-08-25T16:17:22Z | |
dc.date.available | 2021-08-25T16:17:22Z | |
dc.date.created | 2021-08-25T16:17:22Z | |
dc.date.issued | 2020 | |
dc.identifier | https://repositorio.unal.edu.co/handle/unal/80010 | |
dc.identifier | Universidad Nacional de Colombia | |
dc.identifier | Repositorio Institucional Universidad Nacional de Colombia | |
dc.identifier | https://repositorio.unal.edu.co/ | |
dc.description.abstract | The speed of changes in the policies and agents of the energy system in Colombia is a conflict when it comes to understanding such a complex system, considering the energy transition towards renewable matrix. This study aims to develop a microworld to learn and understand the dynamics of diffusion of renewable energy technologies in Colombia, and the effect of different incentive policies in such diffusion. We used a system dynamics model to understand the behavior of the available potential and the installed capacity of different electricity generation technologies in Colombia, considering the effect of the regulator’s performance over the diffusion. Thereafter, the model was used to develop an online microworld in which the users can play and test different incentives to renewable energy and learn about the systems underlying structure and operation while learning about the process. The main results of the pilot testing suggest that the microworld contributes to improving the knowledge of the users and allowing them to better understand the energy system. | |
dc.description.abstract | La velocidad de los cambios en las políticas y los agentes del sistema energético en Colombia es una barrera para entender un sistema tan complejo, considerando la transición energética hacia una matriz renovable. Esta tesis, tiene como objetivo desarrollar un micromundo para entender y aprender sobre la dinámica de la difusión de las tecnologías de generación renovable en Colombia, y sobre el efecto de diferentes políticas e incentivos sobre dicha difusión. Utilizamos un modelo de dinámica de sistemas para comprender el comportamiento del potencial disponible y la capacidad instalada de diferentes tecnologías de generación en Colombia, considerando el efecto del desempeño del regulador sobre la difusión. A partir de este modelo desarrollamos un micromundo en línea en el que los usuarios pueden jugar, probar diferentes incentivos para las energías renovables y aprender sobre la estructura y la operación subyacente de los sistemas mientras aprenden sobre el proceso. Los resultados principales de las pruebas piloto sugieren que el micromundo aporta al conocimiento de los usuarios y les permite entender mejor el sistema. (Tomado de la fuente) | |
dc.language | eng | |
dc.publisher | Universidad Nacional de Colombia | |
dc.publisher | Medellín - Minas - Maestría en Ingeniería - Sistemas Energéticos | |
dc.publisher | Departamento de la Computación y la Decisión | |
dc.publisher | Facultad de Minas | |
dc.publisher | Medellín | |
dc.publisher | Universidad Nacional de Colombia - Sede Medellín | |
dc.relation | Ackermann, E. (2001). Piaget’s Constructivism, Papert’s Constructionism: What’s the difference? Future of Learning Group, 5(3), 438. | |
dc.relation | Arias-Gaviria, J., Carvajal-Quintero, S. X., & Arango-Aramburo, S. (2019). Understanding dynamics and policy for renewable energy diffusion in Colombia. Renewable Energy, 139, 1111–1119. https://doi.org/10.1016/j.renene.2019.02.138 | |
dc.relation | Arias Gaviria, J. (2014). Modelamiento y simulación de curvas de aprendizaje para tecnologías de energía renovable en Colombia. (Doctoral Dissertation, Universidad Nacional de Colombia-Sede Medellín), 123. http://www.bdigital.unal.edu.co/43657/ | |
dc.relation | Babiker, M., Bertoldi, P., Buckeridge, M., Cartwright, A., Araos, M., Bakker, S., Bazaz, A., Belfer, E., Benton, T., Coninck, D., Revi, A., Babiker, M., Bertoldi, P., Buckeridge, M., Cartwright, A., Dong, W., Ford, J., Fuss, S., Hourcade, J., … Waterfield, T. (2018). Chapter 4: Strengthening and Implementing the Global Response. In Intergovernmental Panel on Climate Change, Global Warming of 1.5°C an IPCC special report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change (pp. 313–443). https://www.ipcc.ch/site/assets/uploads/sites/2/2019/05/SR15_Chapter4_Low_Res.pdf | |
dc.relation | Barrera, X., Gómez, R., Suárez, R., & García, C. (2015). El ABC de los compromisos de Colombia para la COP21 (WWF-Colombia); 2nd ed., p. 31). | |
dc.relation | Bass, F. (1969). A New Product Growth for Model Consumer Durables. Management Science, 15(5), 215–227. https://doi.org/10.1287/mnsc.15.5.215 | |
dc.relation | Bernardo Calderón. (2008). Capítulo 1: Simulación. Conceptos Básicos y Aplicabilidad. In U. de Antioquia, Introducción a la Simulación. | |
dc.relation | Boring, R., Kelly, D., Smidys, C., Mosleh, A., & Dyre, B. (2012). Microworlds, Simulators and Simulation : Framework for a Benchmark of Human Reliability Data Sources (Idaho National Laboratory (INL). Issue No.INL/CON-12-25625). | |
dc.relation | Campbell Allison , Jenden James, D. J. (2019). Energy Education - Energy vs power. https://energyeducation.ca/encyclopedia/Energy_vs_power | |
dc.relation | Cárdenas Ardila, L. M. (2015). Plataforma para la evaluación de políticas de mitigación de gases efecto invernadero en el sector eléctrico. (Doctoral Dissertation, Universidad Nacional de Colombia-Sede Medellín), 245. http://www.bdigital.unal.edu.co/50866/ | |
dc.relation | Castaneda, M., Franco, C. J., & Dyner, I. (2017). Evaluating the effect of technology transformation on the electricity utility industry. Renewable and Sustainable Energy Reviews, 80(65), 341–351. https://doi.org/10.1016/j.rser.2017.05.179 | |
dc.relation | Castillo Ramírez, A., Mejía Giraldo, D., & Molina Castro, J. D. (2017). Fiscal incentives impact for RETs investments in Colombia. Energy Sources, Part B: Economics, Planning and Policy, 12(9), 759–764. https://doi.org/10.1080/15567249.2016.1276648 | |
dc.relation | Castillo Ramírez, Alejandro, Mejía Giraldo, D., & Giraldo Ocampo, J. D. (2016). Geospatial levelized cost of energy in Colombia: GeoLCOE. 2015 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT LATAM 2015, 298–303. https://doi.org/10.1109/ISGT-LA.2015.7381171 | |
dc.relation | Climate Interactive, Ventana Systems, Todd Fincannon, UML Climate Change Initiative, & Sterman, J. (2019). En-ROADS. Climate Interactive Tools for a Thriving Future. https://www.climateinteractive.org/tools/en-roads/ | |
dc.relation | Congreso de la República de Colombia. (2014). Ley 1715 de 2014. http://www.secretariasenado.gov.co/senado/basedoc/ley_1715_2014.html | |
dc.relation | Departamento Administrativo Nacional de Estadística - DANE. (2020). Índice de precios del productor. https://www.dane.gov.co/index.php/estadisticas-por-tema/precios-y-costos/indice-de-precios-del-productor-ipp | |
dc.relation | Dirección de Impuestos y Aduanas Nacionales - DIAN. (2020). Resolución número 000009 de 2020. https://www.dian.gov.co/normatividad/Normatividad/Resolución 000009 de 31-01-2020.pdf | |
dc.relation | Dyner, I., Larsen, E., & Franco, C. J. (2009). Games for electricity traders: Understanding risk in a deregulated industry. Energy Policy, 37(2), 465–471. https://doi.org/10.1016/j.enpol.2008.09.075 | |
dc.relation | Electronic Arts Inc. (2019). EA. SIMCITY. https://www.ea.com/games/simcity/simcity | |
dc.relation | Forrester, J. W. (2019). MA System. Play the Beer Game. https://beergame.masystem.se/ | |
dc.relation | Franco, C. J., Velásquez, J. D., & Cardona, D. (2012). Microworld For Simulating A Spot Electricity Market | Micromundo para simular un mercado eléctrico de corto plazo. Cuadernos de Economia, 31(58), 229–256. http://www.scopus.com/inward/record.url?eid=2-s2.0-84879827442&partnerID=MN8TOARS | |
dc.relation | Galvis, Á. (1997). Micromundos Lúdicos Interactivos: aspectos críticos en su diseño y desarrollo. (Ediciones Uniandes–Lidie). http://hdl.handle.net/1992/6327 | |
dc.relation | Haas, R., Panzer, C., Resch, G., Ragwitz, M., Reece, G., & Held, A. (2011). A historical review of promotion strategies for electricity from renewable energy sources in EU countries. Renewable and Sustainable Energy Reviews, 15(2), 1003–1034. https://doi.org/10.1016/j.rser.2010.11.015 | |
dc.relation | Hamodi, C., Pastor, V. M. L., & Pastor, A. T. L. (2015). Medios, técnicas e instrumentos de evaluación formativa y compartida del aprendizaje en educación superior. Perfiles Educativos, 37(147), 146–161. https://doi.org/10.1016/j.pe.2015.10.004 | |
dc.relation | Hardin, G. (1968). The tragedy of the commons. Science, 162(3859), 1243–1248. https://doi.org/10.1126/science.162.3859.1243 | |
dc.relation | Henao, F., & Dyner, I. (2020). Renewables in the optimal expansion of colombian power considering the Hidroituango crisis. Renewable Energy, 158(2020), 612–627. https://doi.org/10.1016/j.renene.2020.05.055 | |
dc.relation | IDEAM, PNUD, MADS, DNP, & Cancillería. (2016). Inventario Nacional y Departamental de Gases de Efecto Invernadero - Colombia (IDEAM, PNUD, MADS, DNP, CANCILLERÍA, & FMAM (eds.)). | |
dc.relation | Inda Caro, M., Álvarez González, S., & Álvarez Rubio, M. (2008). Métodos de evaluación en la Enseñanza Superior. Revista de Investigación Educativa, RIE, 26(2), 539–552. | |
dc.relation | IRENA. (2000). Experience Curves for Energy Technology Policy. Experience Curves for Energy Technology Policy, January 2000, 133. https://doi.org/10.1787/9789264182165-en | |
dc.relation | IRENA. (2018a). Hydropower. https://www.irena.org/hydropower | |
dc.relation | IRENA. (2018b). Renewable Power Generation Costs in 2018. International Renewable Energy Agency, 160. https://doi.org/10.1007/SpringerReference_7300 | |
dc.relation | IRENA. (2019). Renewable capacity highlights (Issue March). https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2019/Mar/RE_capacity_highlights_2019.pdf?la=en&hash=BA9D38354390B001DC0CC9BE03EEE559C280013F | |
dc.relation | IRENA. (2020). Renewable Capacity Statistics 2020. International Renewable Energy Agency, 66. https://irena.org/-/media/Files/IRENA/Agency/Publication/2020/Mar/IRENA_RE_Capacity_Statistics_2020.pdf | |
dc.relation | IRENA, NEA, & Organization for Economic Co-Operation and Development. (2015). Projected Costs of Generating Electricity. https://www.oecd-nea.org/ndd/pubs/2015/7057-proj-costs-electricity-2015.pdf | |
dc.relation | Isee Systems. (2020). Stella Architect (2.0). https://www.iseesystems.com/ | |
dc.relation | Jacobs, D., Marzolf, N., Paredes, J. R., Rickerson, W., Flunn, H., Becekr-Birck, C., & Solano-Peralta, M. (2013). Analysis of renewable energy incentives in the Latin America and Caribbean region: The feed-in tariff case. Energy Policy, 60, 601–610. | |
dc.relation | Jamasb, T., & Köhler, J. (2007). Learning Curves for Energy Technology and Policy Analysis: A Critical Assessment. Delivering a Low Carbon Electricity System: Technologies, Economics and Policy, 314–332. https://www.repository.cam.ac.uk/bitstream/handle/1810/194736/0752&EPRG0723.pd?sequence=1 | |
dc.relation | Katsaliaki, K., & Mustafee, N. (2015). Edutainment for Sustainable Development: A Survey of Games in the Field. Simulation and Gaming, 46(6), 647–672. https://doi.org/10.1177/1046878114552166 | |
dc.relation | Keith, D. R., Naumov, S., & Sterman, J. (2017). Driving the Future: A Management Flight Simulator of the US Automobile Market. Simulation and Gaming, 48(6), 735–769. https://doi.org/10.1177/1046878117737807 | |
dc.relation | King, A. (1993). From Sage on the Stage to Guide on the Side. College Teaching, 41(1), 30–35. https://doi.org/10.5771/2196-7261-2016-4-288 | |
dc.relation | Krejcie, R. V, & Morgan, D. (1970). Determining sample size for research activities. The NEA Research Bulletin, 30, 607–610. | |
dc.relation | MinMinas. (2018a). Resolución 40791 de 2018. http://legal.legis.com.co/document/Index?obra=legcol&document=legcol_0023bd4e97114cc79a428f9b705ed19c | |
dc.relation | MinMinas. (2018b). Resolución 40795 de 2018. http://legal.legis.com.co/document/Index?obra=legcol&document=legcol_2b577796e5b84942904ccda6f5676722 | |
dc.relation | MinMinas. (2018c). Sector minero energético, activo frente al cambio climático: reducirá 11 millones de toneladas de CO2 en el año 2030. https://www.minenergia.gov.co/en/historico-de-noticias?idNoticia=24056534#:~:text=MinMinas.&text=avances y desafíos.-,La meta del sector es reducir en 11%2C2 millones,del Amazonas en 15 años.&text=Significa que el sector minero,meta nacional%2C al año 203 | |
dc.relation | MinMinas, & UPME. (2019). Anexo 2 - Pliego de términos y condiciones específicas de la subasta de contratación de enerpía eléctrica a largo plazo (Issue 69). https://www1.upme.gov.co/PromocionSector/Subastas-largo-plazo/Documents/Subasta-CLPE-02-2019/Pliegos_Subasta_CLPE_No02_2019.pdf | |
dc.relation | MinMinas, & UPME. (2020). Informe de registro de proyectos de generación de eléctricidad. https://app.powerbi.com/view?r=eyJrIjoiNzBhN2Q4YmMtN2IxMy00Mjg2LWJhZTctMjRkNWE2NDdlMzI0IiwidCI6IjgxNTAwZjZkLWJjZTktNDgzNC1iNDQ2LTc0YjVmYjljZjEwZSIsImMiOjh9 | |
dc.relation | MIT. (2020a). Forio Simulate TM. https://forio.com/simulate/showcase/#orderbyperiodruncount=desc&staffPick=true | |
dc.relation | MIT. (2020b). MIT Management Sloan School LearningEdge. Fishbanks: Teaching Instructions and Videos. https://mitsloan.mit.edu/LearningEdge/simulations/fishbanks/Pages/Faculty-Only.aspx | |
dc.relation | MIT, Meadows, D., Sterman, J., & King, A. (2020). Fishbanks: una simulación de gestión de recursos renovables. LearningEdge A Free Learning Resourse for Management Educators and Students. https://mitsloan.mit.edu/LearningEdge/simulations/fishbanks-spanish/Pages/default.aspx | |
dc.relation | MIT, Ventana systems, UML Climate, Change Initiative, & Todd Fincannon. (2019). C-ROADS. Climate Interactive. https://www.climateinteractive.org/tools/c-roads/ | |
dc.relation | Mohd Razali, N., & Bee Wah, Y. (2011). Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. Journal of Statistical Modeling and Analytics, 2(1), 21–33. http://instatmy.org.my/downloads/e-jurnal 2/3.pdf%0Ahttps://www.nrc.gov/docs/ML1714/ML17143A100.pdf | |
dc.relation | Morecroft, J. (2007). Strategic Modelling and Business Dynamics: A Feedback Systems Approach (John Wiley & Sons Ltd; p. 429). | |
dc.relation | Papert, S. (1980). Mindstorms Children, computers, and Powerful Ideas (P. Basic Books, Inc.; 1st ed.). Library of Congress Cataloging . | |
dc.relation | Papert, S. (1986). Constructionism: A new opportunity for elementary science education (Massachusetts Institute of Technology Media Laboratory Epistemology and Learning Group). | |
dc.relation | Papert, S., & Harel, I. (1991). Situating Constructionism. Constructionism, 36(2), 1–11. | |
dc.relation | Powersim Software AS. (2020). Powersim Studio 10 Academic. | |
dc.relation | Rao, K. U., & Kishore, V. V. N. (2010). A review of technology diffusion models with special reference to renewable energy technologies. Renewable and Sustainable Energy Reviews, 14(3), 1070–1078. https://doi.org/10.1016/j.rser.2009.11.007 | |
dc.relation | Rieber, L. (2012). Multimedia Learning in Games, Simulations, and Microworlds. In R. Mayer, The Cambridge Handbook of Multimedia Learning (pp. 549–568). https://doi.org/10.1017/cbo9780511816819.034 | |
dc.relation | Rieber, L. P. (2002). Microworlds. 583–604. | |
dc.relation | Rstudio Inc. (2018). RStudio (1.1.456). | |
dc.relation | Sáiz, M. C., & Román, J. M. (2011). Cuatro formas de evaluación en educación superior gestionadas desde la tutoría. Revista de Psicodidactica, 16(1), 145–161. | |
dc.relation | Schoots, K., Ferioli, F., Kramer, G. J., & van der Zwaan, B. C. C. (2008). Learning curves for hydrogen production technology: An assessment of observed cost reductions. International Journal of Hydrogen Energy, 33(11), 2630–2645. https://doi.org/10.1016/j.ijhydene.2008.03.011 | |
dc.relation | Sterman, J. (1992). Teaching Takes Off Flight Simulators for Management Education “The Beer Game.” OR/MS Today, 40–44. papers3://publication/uuid/CBBF86A3-8229-422C-8AAD-B47F45F4CE88 | |
dc.relation | Sterman, J. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World (The McGraw-Hill Companies-Inc.). | |
dc.relation | Sterman, J. (2014). Interactive web‐based simulations for strategy and sustainability: The MIT Sloan LearningEdge management flight simulators, Part I. System Dynamics Review, 30(1–2), 89–121. https://doi.org/10.1002/sdr | |
dc.relation | Sterman, J. (2019). Eclipsing the Competition: The Solar PV Industry Simulation. MIT Management Sloan School Learning Edge A Free Learning Resource for Management Educartors and Students. https://mitsloan.mit.edu/LearningEdge/simulations/solar/Pages/default.aspx | |
dc.relation | Sterman, J. and A. K. (2011). Simulation Instructors’ Guide: Setup and Player Briefing. 11–131, 44. | |
dc.relation | Sterman, J. D. (2002). All models are wrong: Reflections on becoming a systems scientist. System Dynamics Review, 18(4), 501–531. https://doi.org/10.1002/sdr.261 | |
dc.relation | Sterman, J., Fiddaman, T., Franck, T., Johnston, E., Jones, A., McCauley, S., Rice, P., Rooney-Varga, J. N., Sawin, E., & Siegel, L. (2019). World Energy: A Climate and Energy Policy Negotiation Game. MIT Management Sloan School Learning Edge A Free Learning Resource for Management Educartors and Students. https://mitsloan.mit.edu/LearningEdge/simulations/world energy-spanish/Pages/default.aspx | |
dc.relation | Sterman, J., Miller, D., & Hsueh, J. (2019). CleanStart: Simulating a Clean Energy Startup. MIT Management Sloan School Learning Edge A Free Learning Resource for Management Educartors and Students. https://mitsloan.mit.edu/LearningEdge/simulations/cleanstart/Pages/default.aspx | |
dc.relation | Strategy dynamics LTD. (2019a). Beefeater restaurants. https://strategydynamics.com/microworlds/beefeater/ | |
dc.relation | Strategy dynamics LTD. (2019b). Brand management. https://strategydynamics.com/microworlds/brands/ | |
dc.relation | Strategy dynamics LTD. (2019c). Mobile phone subscribers. https://strategydynamics.com/microworlds/mobile/ | |
dc.relation | Strategy dynamics LTD. (2019d). People express. https://strategydynamics.com/microworlds/people-express/ | |
dc.relation | UNAL. (2019). UNAL en un vistazo. Estadisticas UNAL. http://estadisticas.unal.edu.co/home/ | |
dc.relation | United Nations Framework Convention on Climate Change. (2008). Kyoto Protocol Reference Manual. United Nations Framework Convention on Climate Change, 130. https://doi.org/10.5213/jkcs.1998.2.2.62 | |
dc.relation | UPME. (2019). Informe sobre la realización de la subasta CLPE No. 02-2019. 69, 1–45. https://www1.upme.gov.co/PromocionSector/Subastas-largo-plazo/Documents/Subasta-CLPE-02-2019/Informe_al_minenergia_subasta_CLPE-02-2019.pdf%0Awww.upme.gov.co | |
dc.relation | UPME, & Ministerio de Minas y Energía. (2015). Integración de las energías renovables no convencionales en Colombia (La Imprenta Editores S.A.). https://doi.org/10.1021/ja304618v | |
dc.relation | Valencia O, R. F., Víctor Riascos M, E. A., & Niño Z, M. A. (2011). Método para la creación de micromundos inmersivos. Revista Avances En Sistemas e Informática, 8(2), 41–50. http://www.bdigital.unal.edu.co/28837/1/26724-93650-1-PB.pdf | |
dc.relation | Varun, Bhat, I. K., & Prakash, R. (2009). LCA of renewable energy for electricity generation systems-A review. Renewable and Sustainable Energy Reviews, 13(5), 1067–1073. https://doi.org/10.1016/j.rser.2008.08.004 | |
dc.relation | Ventana Systems Inc. (2019). Vensim. | |
dc.relation | Vlahos, K. (1998). The Electricity Markets Microworld. 0008-A, Available from Professor Kiriakos Vlahos, The System Dynamics Group. London Bussiness School, 25. | |
dc.relation | Washburn, C., & Pablo-Romero, M. (2019). Measures to promote renewable energies for electricity generation in Latin American countries. Energy Policy, 128, 212–222. https://doi.org/10.1016/j.enpol.2018.12.059 | |
dc.relation | XM. (2020a). Capacidad efectiva por tipo de generación. PARATEC - Parámetros Técnicos Del SIN. http://paratec.xm.com.co/paratec/SitePages/generacion.aspx?q=capacidad | |
dc.relation | XM. (2020b). Indicadores. Precio y Volúmen de Transacciones. https://www.xm.com.co/Paginas/Indicadores/Transacciones/Indicador-precio-volumen-transacciones.aspx | |
dc.relation | XM. (2020c). Pronóstico de demanda. https://www.xm.com.co/Paginas/Consumo/pronostico-de-demanda.aspx | |
dc.rights | Atribución-NoComercial-CompartirIgual 4.0 Internacional | |
dc.rights | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.title | A microworld for learning about the diffusion of non-conventional renewable electricity generation technologies in Colombia. | |
dc.type | Trabajo de grado - Maestría | |