Derechos de autor 2020 Investigación e Innovacion en Ingenierías
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Revisión sistemática sobre geolocalización automática para pequeñas centrales hidroeléctricas
Corresponding Author(s) : Hugo Ordoñez Erazo
Investigación e Innovación en Ingenierías,
Vol. 8 Núm. 1 (2020): Enero - Junio
Resumen
Objetivo: Identificar tecnologías computacionales que se están utilizando en la identificación y selección automática de sitios para pequeñas centrales hidroeléctricas. Metodología: Se realizaron búsquedas sistemáticas de artículos científicos, artículos de conferencias, revistas indexadas y libros de ingeniería, en bases de datos de referencias bibliográficas, lo que permitió, una revisión exploratoria y analítica para la recopilación de información significativa, sobre las tecnologías utilizadas en la ubicación automática de este tipo de proyectos. Resultados: Esta revisión permitió establecer que el Big Data para el análisis de datos geoespaciales, los algoritmos de agrupamiento, las metodologías de toma de decisiones con múltiples criterios y el análisis visual de datos, están directamente involucrados en la ubicación automática de pequeñas centrales hidroeléctricas. Conclusiones: En Latinoamérica se pueden encontrar algunas investigaciones alrededor de la selección automática de sitios para pequeñas centrales hidroeléctricas, sin embargo, Colombia aún no ha publicado estudios de este tipo en las principales revistas científicas y bases de datos de referencias bibliográficas, asimismo, menos del 10% de los artículos examinados en esta investigación, se han realizado en esta región del continente.
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Referencias
S. Bilgen, K. Kaygusuz, y A. Sari, "Renewable Energy for a Clean and Sustainable Future", Energy Sources, vol. 26, n°. 12, pp. 1119-1129, oct. 2004, DOI: https://doi.org/10.1080/00908310490441421.
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J. L. da S. Soito y M. A. V. Freitas, "Amazon and the expansion of hydropower in Brazil: Vulnerability,2 impacts and possibilities for adaptation to global climate change, Renewable and Sustainable Energy Reviews, vol. 15, n.o 6, pp. 3165-3177, ago. 2011, DOI: https://doi.org/10.1016/10.1016/j.rser.2011.04.006.
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K. Kaygusuz, "Hydropower and the World’s Energy Future", Energy Sources, vol. 26, n.o 3, pp. 215-224, feb. 2004, DOI: https://doi.org/10.1016/10.1080/00908310490256572.
A. F. Castro, N. G. Arteaga, G. Llinás, y D. A. Mora, "Definición de Categorías de Ruralidad", Departamento Nacional de Planeación, 013652, sep. 2015.
Story Map Series. [En línea]. Disponible en: https://dane.maps.arcgis.com/apps/MapSeries/index.html?appid=2749922ca5f8469db9990986c02b1b93. [Accedido: 01-oct-2019].
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A. Subramanian, "Empowering geo spatial analysis with big data platform: Natural resource management", 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2016, pp. 1–6, DOI: https://doi.org/10.1016/10.1109/ICCIC.2016.7919693.
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A. Saber, A. M. Al-Zoghby, y S. Elmougy, "Big-Data Aggregating, Linking, Integrating and Representing Using Semantic Web Technologies", The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018), 2018, pp. 331–342.
R. K. Barik, R. K. Lenka, S. M. Ali, N. Gupta, A. Satpathy, y A. Raj, "Investigation into the efficacy of geospatial big data visualization tools", 2017 International Conference on Computing, Communication and Automation (ICCCA), 2017, pp. 88–93, DOI: https://doi.org/10.1109/CCAA.2017.8229777.
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R. P. Singh y H. P. Nachtnebel, "Decision aid for hydropower project prioritisation in Nepal by applying Visual PROMETHEE", International Journal of Multicriteria Decision Making, vol. 6, n.o 4, pp. 316–342, 2016, DOI: https://doi.org/10.1504/IJMCDM.2016.081389.
A. Moiz, A. Kawasaki, T. Koike, y M. Shrestha, "A systematic decision support tool for robust hydropower site selection in poorly gauged basins", Applied Energy, vol. 224, pp. 309–321, Agosto 2018, DOI: https://doi.org/10.1016/j.apenergy.2018.04.070.
C. Waisurasingha, P. Chindaprasirt, W. Sri-Amporn, y S. Chuangcham, "The utilization of geographic information systems and multi-criteria decision making with local community participation for selection of site for micro hydropower project: A case study of Chi river Basin, Thailand", 2012, vol. 2, pp. 1201–1205.
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D. A. Q. Badang, C. F. Sarip, y A. P. Tahud, "Geographic Information System (GIS) and Multicriteria Decision Making (MCDM) for Optimal Selection of Hydropower Location in Rogongon, Iligan City", 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM), 2018, pp. 1-5, DOI: https://doi.org/10.1109/HNICEM.2018.8666266.
Visualization: GeoChart | Charts, Google Developers. [En línea]. Disponible en: https://developers.google.com/chart/interactive/docs/gallery/geochart. [Accedido: 01-oct-2019].
R. Monk, S. Joyce, y M. Homenuke, "Rapid hydropower assessment model: Identify hydroelectric sites using geographic information systems", en Proceedings of the Small Hydro Conference 2009, 2009, pp. 28–29.
G. Carroll, K. Reeves, R. Lee, y S. Cherry, "Evaluation of potential hydropower sites throughout the United States", en ESRI User Conference, 2004.
B. Meza-Prieto y J. Aparicio, "Evaluation of small-scale hydropower potential in watersheds using a rainfall-runoff model", Tecnologia y Ciencias del Agua, vol. 9, n.o 1, pp. 69-87, 2018, DOI: https://doi.org/10.24850/j-tyca-2018-01-05.
D. G. Larentis, W. Collischonn, F. Olivera, y C. E. M. Tucci, "Gis-based procedures for hydropower potential spotting", Energy, vol. 35, n.o 10, pp. 4237–4243, oct. 2010, DOI: https://doi.org/10.1016/j.energy.2010.07.014.
N. Wegner et al., "Hydro energy potential considering environmental variables and water availability in Paraná Hydrographic Basin 3", Journal of Hydrology, vol. 580, p. 124183, ene. 2020, DOI: https://doi.org/10.1016/j.jhydrol.2019.124183.
Romanelli João Paulo, Silva Luiz G. M., Horta Ana, y Picoli Rogério A., "Site Selection for Hydropower Development: A GIS-Based Framework to Improve Planning in Brazil", Journal of Environmental Engineering, vol. 144, n°. 7, p. 04018051, jul. 2018, DOI: https://doi.org/10.1061/(ASCE)EE.1943-7870.0001381.
D. Connolly, S. MacLaughlin, y M. Leahy, "Development of a computer program to locate potential sites for pumped hydroelectric energy storage", Energy, vol. 35, n°. 1, pp. 375–381, Enero 2010, DOI:https://doi.org/10.1016/j.energy.2009.10.004.
J. Félix y A. Dubas, "Use of GIS to identify potential sites for small hydroelectric plants: general concepts and exemple of application", Proceedings of the International Conference HIDROENERGIA 2010, 2010.
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Documentos CONPES. [En línea]. Disponible en: https://www.dnp.gov.co/CONPES/documentos-conpes/Paginas/documentos-conpes.aspx#k=. [Accedido: 03-dic-2019].
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