Renewable energy smart sensing system monitoring for Off-Grid vulnerable community in Colombia

La implantación de las energías renovables es una necesidad hoy en día y, como cualquier otra tecnología, conlleva retos y oportunidades para su consecución. En el proyecto Enhancing Aquatic Renewable Energy uno de los principales objetivos es el diseño de una red inteligente para controlar la red e...

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Autores:: Colmenares Quintero, Ramón Fernando
Valderrama-Riveros, Oscar Camilo
Macho-Hernantes, Fernando
Stansfield, Kim E.
Colmenares-Quintero, Juan Carlos

Tipo de recurso:: Article of investigation

Fecha de publicación:: 2021

Institución:: Universidad Cooperativa de Colombia

Repositorio:: Repositorio UCC

Idioma:

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dc.title.spa.fl_str_mv	Renewable energy smart sensing system monitoring for Off-Grid vulnerable community in Colombia
title	Renewable energy smart sensing system monitoring for Off-Grid vulnerable community in Colombia
spellingShingle	Renewable energy smart sensing system monitoring for Off-Grid vulnerable community in Colombia Energía renovable Redes inteligentes Monitorización del sistema Aplicación Web Objetivo de Desarrollo Sostenible Renewable Energy Smart Grids System Monitoring Web-app Sustainable Development Goals
title_short	Renewable energy smart sensing system monitoring for Off-Grid vulnerable community in Colombia
title_full	Renewable energy smart sensing system monitoring for Off-Grid vulnerable community in Colombia
title_fullStr	Renewable energy smart sensing system monitoring for Off-Grid vulnerable community in Colombia
title_full_unstemmed	Renewable energy smart sensing system monitoring for Off-Grid vulnerable community in Colombia
title_sort	Renewable energy smart sensing system monitoring for Off-Grid vulnerable community in Colombia
dc.creator.fl_str_mv	Colmenares Quintero, Ramón Fernando Valderrama-Riveros, Oscar Camilo Macho-Hernantes, Fernando Stansfield, Kim E. Colmenares-Quintero, Juan Carlos
dc.contributor.author.none.fl_str_mv	Colmenares Quintero, Ramón Fernando Valderrama-Riveros, Oscar Camilo Macho-Hernantes, Fernando Stansfield, Kim E. Colmenares-Quintero, Juan Carlos
dc.subject.spa.fl_str_mv	Energía renovable Redes inteligentes Monitorización del sistema Aplicación Web Objetivo de Desarrollo Sostenible
topic	Energía renovable Redes inteligentes Monitorización del sistema Aplicación Web Objetivo de Desarrollo Sostenible Renewable Energy Smart Grids System Monitoring Web-app Sustainable Development Goals
dc.subject.other.spa.fl_str_mv	Renewable Energy Smart Grids System Monitoring Web-app Sustainable Development Goals
description	La implantación de las energías renovables es una necesidad hoy en día y, como cualquier otra tecnología, conlleva retos y oportunidades para su consecución. En el proyecto Enhancing Aquatic Renewable Energy uno de los principales objetivos es el diseño de una red inteligente para controlar la red eléctrica, pero para entender el comportamiento de la red y de los actores (generadores y consumidores) se debe implementar un sistema de detección inteligente de monitorización en la fase inicial del proyecto. En este artículo proponemos el diseño de un sistema de monitorización inteligente. El sistema va a recolectar información e informar el estado de las variables eléctricas (Potencia, corriente, voltaje, energía reactiva y factor de potencia) y ambientales (Temperatura, radiación solar, GPS, humedad y presión atmosférica) de un sistema de energía renovable fuera de la red, apto para una comunidad vulnerable en Colombia. El sistema fue creado como una aplicación web que permite el acceso multiplataforma y permite la escalabilidad para un gran número de generadores y cargas. Finalmente, el sistema ofrece flexibilidad para utilizar sensores o hardware para medir las variables ya que sólo lee la información de la base de datos.
publishDate	2021
dc.date.accessioned.none.fl_str_mv	2021-07-09T15:26:45Z
dc.date.available.none.fl_str_mv	2021-07-09T15:26:45Z
dc.date.issued.none.fl_str_mv	2021-05-27
dc.type.none.fl_str_mv	Artículos Científicos
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dc.identifier.uri.spa.fl_str_mv	https://doi.org/10.1080/23311916.2021.1936372
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dc.identifier.bibliographicCitation.spa.fl_str_mv	Colmenares-Quintero, R.F., Valederrama-Riveros, O. C. Macho-Hernantes, F., Stansfield, K.E. y Colmenares-Quintero, J.C. (2021). Renewable Energy Smart Sensing System Monitoring for Off-grid Vulnerable Community in Colombia, Cogent Engineering, 8:1, DOI: 10.1080/23311916.2021.1936372
identifier_str_mv	23311916 Colmenares-Quintero, R.F., Valederrama-Riveros, O. C. Macho-Hernantes, F., Stansfield, K.E. y Colmenares-Quintero, J.C. (2021). Renewable Energy Smart Sensing System Monitoring for Off-grid Vulnerable Community in Colombia, Cogent Engineering, 8:1, DOI: 10.1080/23311916.2021.1936372
url	https://doi.org/10.1080/23311916.2021.1936372 https://hdl.handle.net/20.500.12494/35010
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dc.relation.ispartofjournal.spa.fl_str_mv	Cogent Engineering
dc.relation.references.spa.fl_str_mv	Abo-Zahhad, M., Ahmed, S. M., Farrag, M., Ahmed, M. F. A., & Ali, A. (2016). Design and implementation of building energy monitoring and management system based on wireless sensor networks. Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015, 230–233. https://doi.org/10.1109/ICCES.2015.7393051 Afonso, M., Pereira, P., & Martins, J. (2011). Weather monitoring system for renewable energy power production correlation. IFIP Advances in Information and Communication Technology, 349 AICT, 481–490. https://doi.org/10.1007/978-3-642-19170-1_53 Bhor, D., Angappan, K., & Sivalingam, K. M. (2016). Network and power-grid co-simulation framework for Smart Grid wide-area monitoring networks. Journal of Network and Computer Applications, 59(June 2015), 274–284. https://doi.org/10.1016/j.jnca.2015.06.016 Cedar Lake Ventures. (2020). The Typical Weather Anywhere on Earth - Weather Spark. https://weatherspark.com/ Dileep, G. (2020). A survey on smart grid technologies and applications. Renewable Energy, 146, 2589–2625. https://doi.org/10.1016/j.renene.2019.08.092 Dumitru, C.-D., & Gligor, A. (2012). SCADA Based Software for Renewable Energy Management System. Procedia Economics and Finance, 3(12), 262–267. https://doi.org/10.1016/s2212-5671(12)00150-5 Forcan, M., & Maksimović, M. (2019). Cloud-Fog-based approach for Smart Grid monitoring. Simulation Modelling Practice and Theory, 101988. https://doi.org/10.1016/j.simpat.2019.101988 IEEE. (2018). Home - IEEE Smart Grid. https://smartgrid.ieee.org/about-ieee-smart-grid Kabalci, Y., & Kabalci, E. (2017). Modeling and analysis of a smart grid monitoring system for renewable energy sources. Solar Energy, 153, 262–275. https://doi.org/10.1016/j.solener.2017.05.063 Kealy, T. (2020). A closed-loop renewable energy evaluation framework. Journal of Cleaner Production, 251, 119663. https://doi.org/10.1016/j.jclepro.2019.119663 Lazzarin, R. M. (2017). The importance of monitoring renewable energy plants: Three case histories. Thermal Science and Engineering Progress, 4, 197–204. https://doi.org/10.1016/j.tsep.2017.09.010 Le, V. T., & Pitts, A. (2019). A survey on electrical appliance use and energy consumption in Vietnamese households: Case study of Tuy Hoa city. Energy and Buildings, 197(2019), 229–241. https://doi.org/10.1016/j.enbuild.2019.05.051 Lunardi, A. S., Sguarezi Filho, A. J., Capovilla, C. E., Casella, I. R. S., & de Medeiros, A. A. M. (2019). A wireless coded predictive direct power control for renewable energy sources in smart grid environment. International Journal of Electrical Power and Energy Systems, 112(July 2018), 319–325. https://doi.org/10.1016/j.ijepes.2019.05.004 Oracle Corporation. (2020). MySQL. https://www.mysql.com/ Pawar, J. P., Amirthaganesh, S., Arunkumar, S., & Satiesh Kumar, B. (2017). Real time energy measurement using smart meter. Proceedings of 2016 Online International Conference on Green Engineering and Technologies, IC-GET 2016, 1–5. https://doi.org/10.1109/GET.2016.7916747 Pluralsight. (2020). JavaScript.com. https://www.javascript.com/ Rodrigues Junior, W. L., Borges, F. A. S., Veloso, A. F. da S., Rabêlo, R. de A. L., & Rodrigues, J. J. P. C. (2019). Low voltage smart meter for monitoring of power quality disturbances applied in smart grid. Measurement, 147, 106890. https://doi.org/10.1016/j.measurement.2019.106890 Sinha, S., & Chandel, S. S. (2014). Review of software tools for hybrid renewable energy systems. Renewable and Sustainable Energy Reviews, 32, 192–205. https://doi.org/10.1016/j.rser.2014.01.035 Syafii, Rusydi, M. I., Putra, R., & Putra, M. H. (2017). Real-time measurement of grid connected solar panels based on wireless sensors network. Proceeding - 2016 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for a Better Life, ICSEEA 2016, 95–99. https://doi.org/10.1109/ICSEEA.2016.7873574 The Apache Software Foundation. (2020). Welcome! - The Apache HTTP Server Project. https://httpd.apache.org/ The PHP Group. (2020). PHP: Hypertext Preprocessor. https://www.php.net/ Thomas, J. (2020). Bulma: Free, open source, and modern CSS framework based on Flexbox. https://bulma.io/ Ul Hassan, M., Rehmani, M. H., Kotagiri, R., Zhang, J., & Chen, J. (2019). Differential privacy for renewable energy resources based smart metering. Journal of Parallel and Distributed Computing, 131, 69–80. https://doi.org/10.1016/j.jpdc.2019.04.012 Universidad Cooperativa de Colombia. (2019). La UCC y COTECMAR trabajando en proyecto de Energías Renovables Acuáticas. https://www.ucc.edu.co/noticias/prensa/investigacion/la-ucc-y-cotecmar-trabajando-en-proyecto-de-energias-renovables Villasevil, F. X., Vigara, J. E., & Chiarle, L. (2013). Plug-in driven architecture for renewable energy generation monitoring. Renewable and Sustainable Energy Reviews, 27, 401–406. https://doi.org/10.1016/j.rser.2013.06.048
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spelling	Colmenares Quintero, Ramón FernandoValderrama-Riveros, Oscar CamiloMacho-Hernantes, FernandoStansfield, Kim E.Colmenares-Quintero, Juan Carlos8 (1)2021-07-09T15:26:45Z2021-07-09T15:26:45Z2021-05-2723311916https://doi.org/10.1080/23311916.2021.1936372https://hdl.handle.net/20.500.12494/35010Colmenares-Quintero, R.F., Valederrama-Riveros, O. C. Macho-Hernantes, F., Stansfield, K.E. y Colmenares-Quintero, J.C. (2021). Renewable Energy Smart Sensing System Monitoring for Off-grid Vulnerable Community in Colombia, Cogent Engineering, 8:1, DOI: 10.1080/23311916.2021.1936372La implantación de las energías renovables es una necesidad hoy en día y, como cualquier otra tecnología, conlleva retos y oportunidades para su consecución. En el proyecto Enhancing Aquatic Renewable Energy uno de los principales objetivos es el diseño de una red inteligente para controlar la red eléctrica, pero para entender el comportamiento de la red y de los actores (generadores y consumidores) se debe implementar un sistema de detección inteligente de monitorización en la fase inicial del proyecto. En este artículo proponemos el diseño de un sistema de monitorización inteligente. El sistema va a recolectar información e informar el estado de las variables eléctricas (Potencia, corriente, voltaje, energía reactiva y factor de potencia) y ambientales (Temperatura, radiación solar, GPS, humedad y presión atmosférica) de un sistema de energía renovable fuera de la red, apto para una comunidad vulnerable en Colombia. El sistema fue creado como una aplicación web que permite el acceso multiplataforma y permite la escalabilidad para un gran número de generadores y cargas. Finalmente, el sistema ofrece flexibilidad para utilizar sensores o hardware para medir las variables ya que sólo lee la información de la base de datos.The implementation of renewable energy is a necessity nowadays and like any other technology involves challenges and opportunities to achieve. In the Enhancing Aquatic Renewable Energy project one of the main objectives is the design of a smart grid to control the power grid, but to understand the behavior of the grid and the actors (generators and consumers) a smart sensing system monitoring must be implemented in the initial phase of the project. In this article we propose the design of a smart sensing system monitoring. The system is going to collect information and inform the status about electrical variables (Power, current, voltage, reactive energy, and power factor) and environment variables (Temperature, solar radiation, GPS, humidity, and atmospheric pressure) from an off-grid renewable energy system fit for a vulnerable community in Colombia. The system was created as web-app that allows multiplatform access and allows scalability for large numbers of generators and loads. Finally, the system offers flexibility to use sensors or hardware to measure the variables since it only reads the information on the data base.https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000192503https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001544313https://orcid.org/0000-0003-1166-1982https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000005961ramon.colmenaresq@campusucc.edu.cooscar.valderramar@campusucc.edu.cofernando.macho@medwhat.comK.Stansfield@warwick.ac.ukjcarloscolmenares@ichf.edu.plhttps://scholar.google.com/citations?user=9HLAZYUAAAAJ&hl=es1 - 6 p.Universidad Cooperativa de Colombia, Facultad de Ingenierías, Ingeniería Civil, Medellín y EnvigadoIngeniería mecanicaMedellínhttps://doi.org/10.1080/23311916.2021.1936372Cogent EngineeringAbo-Zahhad, M., Ahmed, S. M., Farrag, M., Ahmed, M. F. A., & Ali, A. (2016). Design and implementation of building energy monitoring and management system based on wireless sensor networks. Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015, 230–233. https://doi.org/10.1109/ICCES.2015.7393051Afonso, M., Pereira, P., & Martins, J. (2011). Weather monitoring system for renewable energy power production correlation. IFIP Advances in Information and Communication Technology, 349 AICT, 481–490. https://doi.org/10.1007/978-3-642-19170-1_53Bhor, D., Angappan, K., & Sivalingam, K. M. (2016). Network and power-grid co-simulation framework for Smart Grid wide-area monitoring networks. Journal of Network and Computer Applications, 59(June 2015), 274–284. https://doi.org/10.1016/j.jnca.2015.06.016Cedar Lake Ventures. (2020). The Typical Weather Anywhere on Earth - Weather Spark. https://weatherspark.com/Dileep, G. (2020). A survey on smart grid technologies and applications. Renewable Energy, 146, 2589–2625. https://doi.org/10.1016/j.renene.2019.08.092Dumitru, C.-D., & Gligor, A. (2012). SCADA Based Software for Renewable Energy Management System. Procedia Economics and Finance, 3(12), 262–267. https://doi.org/10.1016/s2212-5671(12)00150-5Forcan, M., & Maksimović, M. (2019). Cloud-Fog-based approach for Smart Grid monitoring. Simulation Modelling Practice and Theory, 101988. https://doi.org/10.1016/j.simpat.2019.101988IEEE. (2018). Home - IEEE Smart Grid. https://smartgrid.ieee.org/about-ieee-smart-gridKabalci, Y., & Kabalci, E. (2017). Modeling and analysis of a smart grid monitoring system for renewable energy sources. Solar Energy, 153, 262–275. https://doi.org/10.1016/j.solener.2017.05.063Kealy, T. (2020). A closed-loop renewable energy evaluation framework. Journal of Cleaner Production, 251, 119663. https://doi.org/10.1016/j.jclepro.2019.119663Lazzarin, R. M. (2017). The importance of monitoring renewable energy plants: Three case histories. Thermal Science and Engineering Progress, 4, 197–204. https://doi.org/10.1016/j.tsep.2017.09.010Le, V. T., & Pitts, A. (2019). A survey on electrical appliance use and energy consumption in Vietnamese households: Case study of Tuy Hoa city. Energy and Buildings, 197(2019), 229–241. https://doi.org/10.1016/j.enbuild.2019.05.051Lunardi, A. S., Sguarezi Filho, A. J., Capovilla, C. E., Casella, I. R. S., & de Medeiros, A. A. M. (2019). A wireless coded predictive direct power control for renewable energy sources in smart grid environment. International Journal of Electrical Power and Energy Systems, 112(July 2018), 319–325. https://doi.org/10.1016/j.ijepes.2019.05.004Oracle Corporation. (2020). MySQL. https://www.mysql.com/Pawar, J. P., Amirthaganesh, S., Arunkumar, S., & Satiesh Kumar, B. (2017). Real time energy measurement using smart meter. Proceedings of 2016 Online International Conference on Green Engineering and Technologies, IC-GET 2016, 1–5. https://doi.org/10.1109/GET.2016.7916747Pluralsight. (2020). JavaScript.com. https://www.javascript.com/Rodrigues Junior, W. L., Borges, F. A. S., Veloso, A. F. da S., Rabêlo, R. de A. L., & Rodrigues, J. J. P. C. (2019). Low voltage smart meter for monitoring of power quality disturbances applied in smart grid. Measurement, 147, 106890. https://doi.org/10.1016/j.measurement.2019.106890Sinha, S., & Chandel, S. S. (2014). Review of software tools for hybrid renewable energy systems. Renewable and Sustainable Energy Reviews, 32, 192–205. https://doi.org/10.1016/j.rser.2014.01.035Syafii, Rusydi, M. I., Putra, R., & Putra, M. H. (2017). Real-time measurement of grid connected solar panels based on wireless sensors network. Proceeding - 2016 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for a Better Life, ICSEEA 2016, 95–99. https://doi.org/10.1109/ICSEEA.2016.7873574The Apache Software Foundation. (2020). Welcome! - The Apache HTTP Server Project. https://httpd.apache.org/The PHP Group. (2020). PHP: Hypertext Preprocessor. https://www.php.net/Thomas, J. (2020). Bulma: Free, open source, and modern CSS framework based on Flexbox. https://bulma.io/Ul Hassan, M., Rehmani, M. H., Kotagiri, R., Zhang, J., & Chen, J. (2019). Differential privacy for renewable energy resources based smart metering. Journal of Parallel and Distributed Computing, 131, 69–80. https://doi.org/10.1016/j.jpdc.2019.04.012Universidad Cooperativa de Colombia. (2019). La UCC y COTECMAR trabajando en proyecto de Energías Renovables Acuáticas. https://www.ucc.edu.co/noticias/prensa/investigacion/la-ucc-y-cotecmar-trabajando-en-proyecto-de-energias-renovablesVillasevil, F. X., Vigara, J. E., & Chiarle, L. (2013). Plug-in driven architecture for renewable energy generation monitoring. 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Renewable energy smart sensing system monitoring for Off-Grid vulnerable community in Colombia

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