Sistema de control y monitoreo de consumo energético para equipos de climatización orientado a internet de las cosas (IOT)

HVAC systems (Heating, Ventilating and Air Conditioning) consume 40% of total domestic energy, with more than 25% of energy demand in homes and offices in Colombia. According to what has been studied in the state of the art, there are various factors that influence the efficiency of these systems. S...

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Autores:
Ruiz Ariza, José David
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
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spa
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oai:repositorio.cuc.edu.co:11323/3285
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http://hdl.handle.net/11323/3285
https://repositorio.cuc.edu.co/
Palabra clave:
Sistemas HVAC
Control
Monitoreo
LoT
HVAC
HVAC systems
Control
Monitoring
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openAccess
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Attribution-NonCommercial-ShareAlike 4.0 International
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repository_id_str
dc.title.spa.fl_str_mv Sistema de control y monitoreo de consumo energético para equipos de climatización orientado a internet de las cosas (IOT)
title Sistema de control y monitoreo de consumo energético para equipos de climatización orientado a internet de las cosas (IOT)
spellingShingle Sistema de control y monitoreo de consumo energético para equipos de climatización orientado a internet de las cosas (IOT)
Sistemas HVAC
Control
Monitoreo
LoT
HVAC
HVAC systems
Control
Monitoring
title_short Sistema de control y monitoreo de consumo energético para equipos de climatización orientado a internet de las cosas (IOT)
title_full Sistema de control y monitoreo de consumo energético para equipos de climatización orientado a internet de las cosas (IOT)
title_fullStr Sistema de control y monitoreo de consumo energético para equipos de climatización orientado a internet de las cosas (IOT)
title_full_unstemmed Sistema de control y monitoreo de consumo energético para equipos de climatización orientado a internet de las cosas (IOT)
title_sort Sistema de control y monitoreo de consumo energético para equipos de climatización orientado a internet de las cosas (IOT)
dc.creator.fl_str_mv Ruiz Ariza, José David
dc.contributor.advisor.spa.fl_str_mv Silva Ortega, Jorge Iván
Páez Logreira, Heyder David
dc.contributor.author.spa.fl_str_mv Ruiz Ariza, José David
dc.subject.spa.fl_str_mv Sistemas HVAC
Control
Monitoreo
topic Sistemas HVAC
Control
Monitoreo
LoT
HVAC
HVAC systems
Control
Monitoring
dc.subject.eng.fl_str_mv LoT
HVAC
HVAC systems
Control
Monitoring
description HVAC systems (Heating, Ventilating and Air Conditioning) consume 40% of total domestic energy, with more than 25% of energy demand in homes and offices in Colombia. According to what has been studied in the state of the art, there are various factors that influence the efficiency of these systems. Some of the factors that influence the behavior of air conditioning systems are: the efficiency inherent to the manufactured system (intrinsic characteristics), the environmental conditions of each region (extrinsic conditions, such as external temperature), the responsible use by the end users, and the perception of comfort on the part of the occupants of the enclosure where the system operates, among others. This research addresses the problem of energy consumption of HVAC systems, from the view of rational consumption based on their operating conditions. The above implies to analyze and correlate the behavior of HVAC systems with changes in the behavior of environmental (external) temperature conditions. In addition, integrate control and monitoring solutions to the Internet of Things (IoT) technologies to manage valuable information based on real time data analysis. Thus, this document summarizes the development of a control system and monitoring of energy consumption for an air conditioning (AC) system oriented to IoT. With the implementation of IoT-based technologies, a significant contribution is made to the monitoring tools, data acquisition and therefore, monitoring for the evaluation of the control techniques of these systems. The monitoring action generates large amounts of data that may be of interest to users, researchers or distribution and marketing companies of air conditioning systems. The document defines the requirements and control techniques for the development of an embedded device using an architecture based on the MQTT protocol applied to the air conditioning system. As well as the stages considered during the implementation in a conventional mini-split HVAC system are described. Finally, the results of the control and monitoring system are compared with the data of the same system without the embedded device in order to validate operation, implementation and integration ith the system
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2019-05-10T15:21:13Z
dc.date.available.none.fl_str_mv 2019-05-10T15:21:13Z
dc.date.issued.none.fl_str_mv 2019
dc.type.spa.fl_str_mv Trabajo de grado - Pregrado
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dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/bachelorThesis
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dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
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dc.identifier.uri.spa.fl_str_mv http://hdl.handle.net/11323/3285
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
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dc.relation.references.spa.fl_str_mv Afram, A., & Janabi-Sharifi, F. (2014). Theory and applications of HVAC control systems - A review of model predictive control (MPC). Building and Environment, 72, 343–355. https://doi.org/10.1016/j.buildenv.2013.11.016
Alavi, A. H., Jiao, P., Buttlar, W. G., & Lajnef, N. (2018). Internet of Things-enabled smart cities: State-of-the-art and future trends. Measurement, 129, 589–606. https://doi.org/https://doi.org/10.1016/j.measurement.2018.07.067
Alliance, Z. (2008). Zigbee Specification. Zigbee Alliance Website, 1–604. https://doi.org/http://people.ece.cornell.edu/land/courses/ece4760/FinalProjects/s2011/kjb7 9_ajm232/pmeter/ZigBee%20Specification.pdf
Amorim, H. S. do, Dias, M. A., & Soares, V. (2015). Sensores digitais de temperatura com tecnologia one-wire: Um exemplo de aplicação didática na área de condução térmica. Revista Brasileira de Ensino de Física. https://doi.org/10.1590/S1806-11173742009
Andrew Banks and Rahul Gupta. (2013). OASIS Committee Specification Draft 01 / Public Review Draft 01, (12 December).
Aosong. (2018). CM2301 temperature and humidity sensor. Retrieved from http://www.aosong.com/en/products-28.html
Apache. (2017). The Apache Software Foundation! Apachefriends. (2017). XAMPP Installers and Downloads for Apache Friends.
Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787–2805. https://doi.org/10.1016/j.comnet.2010.05.010
Burgos, Á. M., Argüello, J. A., Prause, J., & Cenóz, P. J. (2013). Fenología de los estados egetativos de mandioca (Manihot esculenta Crantz) en base al tiempo térmico. Revista de La Facultad de Ciencias Agrarias. Universidad Nacional de Cuyo, 45(1).
Cama-Pinto, A., Piñeres-Espitia, G., Zamora-Musa, R., Acosta-Coll, M., Caicedo-Ortiz, J., & Sepúlveda-Ojeda, J. (2016). Diseño de una red de sensores inalámbricos para la monitorización de inundaciones repentinas en la ciudad de Barranquilla, Colombia. Ingeniare. Revista Chilena de Ingeniería. https://doi.org/10.4067/S0718 33052016000400005
Christian, T. T., Daniel, T., & Anaclet, F. (2018). NodeMCU in Patient ’ s Data Transfer to IoT Platform, (May), 1–10.
Colina, A. L., Vives, A., Zennaro, M., Bagula, A., & Pietrosemoli, E. (2016). Internet of Thingsv In 5 Days.
Dignani, J. P. (2012). Análisis del protocolo ZigBee. Retrieved from http://sedici.unlp.edu.ar/handle/10915/18349
Echun Electronic Co., L. (2018). Split Core Current Transformer ECS1030-L72. Echun Electronic Co., Ltd., 3. Retrieved from https://cdn.sparkfun.com/datasheets/Sensors/Current/ECS1030-L72-SPEC.pdf
Eguílaz, M. M. (2017). Programando directamente un ESP8266 (p. 52). electronicapty. (2018a). Modulo Sensor Emisor infrarrojo KY-005 para Arduino. Retrieved from http://www.electronicapty.com/modulo-sensor-emisor-infrarrojo-ky-005-para-arduino detail?tmpl=component&format=pdf electronicapty. (2018b). Modulo sensor receptor Infrarrojo KY-022 para Arduino. Retrieved from http://www.electronicapty.com/
Evans, D. (2011). The Internet of Things: How the Next Evolution of the Internet Is Changing Everything.
Evans, D., Figuerola, N., Fundación de la Innovación Bankinter, Isenstadt, S., Security, N. C., Proves, A., … Robla, I. (2011). Internet de las cosas: Cómo la próxima evolución de Internet lo cambia todo. Journal of Food Engineering, 49(Emim), 314–318. https://doi.org/10.2991/emim-15.2015.61
Eyras, P. (2012). CLIMATIZACION NATURAL DE AMBIENTES DENTRO DE LAS CABAÑAS DE LA “ COSTA.
Ibiblio. (2016). Capítulo 2. La Arquitectura LAMP.
International Energy Agency. (2016). Indicadores de Eficiencia Energética: Fundamentos Estadísticos (pp. 1–211). Retrieved from www.iea.org/books%0Ahttps://www.iea.org/publications/freepublications/publication/Indi cadoresdeEficienciaEnergética_FundamentosEstadísticos.pdf
Lin, B. Y. P. I., & Broberg, H. L. (2001). Remote control of HVAC APPLICATIONS allows for BETTER CONTROL and ENERGY UTILIZATION, 49–54.
Madakam, S., Ramaswamy, R., & Tripathi, S. (2015). Internet of Things (IoT): A Literature Review. Journal of Computer and Communications, 3(3), 164–173. https://doi.org/10.4236/jcc.2015.35021
Mercado de Energía y Tarifas. (2014).
Moreno, J. M., & Fernández, D. R. (2007). Informe Técnico: Protocolo ZigBee (IEEE 802.15.4). MySQL. (2016). MySQL.
Naturaleza, P. O. R. (1993). Todos los hombres desean, por naturaleza, saber omnes homines natura scire desiderant. UNIVERSITAS PHILOSOPHICA, 3. Retrieved from http://revistas.javeriana.edu.co/index.php/vniphilosophica/article/view/11739/9624
OBS. (2018). Lo que no se mide, no se gestiona. OBS Business School, 1–2. Retrieved from https://www.obs-edu.com/int/blog-investigacion/logistica/lo-que-no-se-mide-no-se gestiona
Pacheco, J., Rubio, J. D. J., Hernandez, J. A., Medina, A., Lopez, A., & Zacarias, A. (2018). Modeling of a HVAC system for clean rooms. IEEE Latin America Transactions, 16(3), 829–838. https://doi.org/10.1109/TLA.2018.8358663
PHP-Group. (2016). PHP: Hypertext Preprocessor.
Rajith, A., Soki, S., & Hiroshi, M. (2018). Real-time optimized HVAC control system on top of an IoT framework. 2018 3rd International Conference on Fog and Mobile Edge Computing, FMEC 2018, 181–186. https://doi.org/10.1109/FMEC.2018.8364062
Robert McDowall. (2006). Fundamentals of HVAC Systems (Vol. 53).
Sampieri, R. H., Collado, C. F., & Lucio, P. B. (2014). Metodología de la investigación. McGraw Hill Education.
SENSIRION. (2003). SHT1x / SHT7x SHT1x / SHT7x Product Summary.
Talca, U. de. (2009). Manual Básico SPSS, 70.
UPME. (2010a). Informe Sectorial Sobre La Evolución De La Distribución Y Comercialización De Energía Eléctrica En Colombia. Sector Eléctrico Nacional, 20–41. Retrieved from http://www.siel.gov.co/LinkClick.aspx?fileticket=L9AASwJjMz8=&tabid=58
UPME. (2010b). Informe Sectorial Sobre La Evolución De La Distribución Y Comercialización De Energía Eléctrica En Colombia. Sector Eléctrico Nacional.
Villadiego, K., & Velay-Dabat, M. A. (2014). Outdoor thermal comfort in a hot and humid climate of Colombia: A field study in Barranquilla. Building and Environment. https://doi.org/10.1016/j.buildenv.2014.01.017
Wang, L., Greenberg, S., Fiegel, J., Rubalcava, A., Earni, S., Pang, X., … Hernandez-Maldonado, J. (2013). Monitoring-based HVAC commissioning of an existing office building for energy efficiency. Applied Energy, 102, 1382–1390. https://doi.org/10.1016/j.apenergy.2012.09.005
Weather Spark. (2018). El clima promedio en Barranquilla. Retrieved from https://es.weatherspark.com/y/23451/Clima-promedio-en-Barranquilla-Colombia-durante todo-el-año
Wu, Z., Jia, Q. S., & Guan, X. (2016). Optimal Control of Multiroom HVAC System: An Event Based Approach. IEEE Transactions on Control Systems Technology, 24(2), 662–669. https://doi.org/10.1109/TCST.2015.2446955
Yang, R., & Wang, L. (2015). Control strategy optimization for energy efficiency and comfort management in HVAC systems. 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015. https://doi.org/10.1109/ISGT.2015.7131863
Yuan, M. (2018). Conociendo MQTT. IBM, 1–9. Afram, A., & Janabi-Sharifi, F. (2014). Theory and applications of HVAC control systems - A review of model predictive control (MPC). Building and Environment, 72, 343–355. https://doi.org/10.1016/j.buildenv.2013.11.016
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spelling Silva Ortega, Jorge Iván23c2815fe7da9af87ebbef815f6d941a-1Páez Logreira, Heyder Davidd15ddd7d6b0f4029fb365296ddc060e9-1Ruiz Ariza, José David07016be4558f5f34ccf2a56cfc196bfc2019-05-10T15:21:13Z2019-05-10T15:21:13Z2019http://hdl.handle.net/11323/3285Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/HVAC systems (Heating, Ventilating and Air Conditioning) consume 40% of total domestic energy, with more than 25% of energy demand in homes and offices in Colombia. According to what has been studied in the state of the art, there are various factors that influence the efficiency of these systems. Some of the factors that influence the behavior of air conditioning systems are: the efficiency inherent to the manufactured system (intrinsic characteristics), the environmental conditions of each region (extrinsic conditions, such as external temperature), the responsible use by the end users, and the perception of comfort on the part of the occupants of the enclosure where the system operates, among others. This research addresses the problem of energy consumption of HVAC systems, from the view of rational consumption based on their operating conditions. The above implies to analyze and correlate the behavior of HVAC systems with changes in the behavior of environmental (external) temperature conditions. In addition, integrate control and monitoring solutions to the Internet of Things (IoT) technologies to manage valuable information based on real time data analysis. Thus, this document summarizes the development of a control system and monitoring of energy consumption for an air conditioning (AC) system oriented to IoT. With the implementation of IoT-based technologies, a significant contribution is made to the monitoring tools, data acquisition and therefore, monitoring for the evaluation of the control techniques of these systems. The monitoring action generates large amounts of data that may be of interest to users, researchers or distribution and marketing companies of air conditioning systems. The document defines the requirements and control techniques for the development of an embedded device using an architecture based on the MQTT protocol applied to the air conditioning system. As well as the stages considered during the implementation in a conventional mini-split HVAC system are described. Finally, the results of the control and monitoring system are compared with the data of the same system without the embedded device in order to validate operation, implementation and integration ith the systemLos sistemas de climatización, o HVAC por sus siglas en inglés (Heating, Ventilating and Air Conditioning), consumen el 40% de la energía domestica total, siendo para Colombia más del 25% de la demanda energética en hogares y oficinas. De acuerdo a lo estudiado en el estado del arte, son diversos los factores que influyen en la eficiencia de estos sistemas. Algunos estos de los factores que influyen en el comportamiento de los sistemas de climatización son: la eficiencia propia del sistema fabricado (características intrínsecas), las condiciones ambientales de cada región (condiciones extrínsecas, como la temperatura externa), el uso responsable por parte de los usuarios finales, y la percepción del confort por parte de los ocupantes del recinto donde opera el sistema, entre otras. En esta investigación se aborda la problemática del consumo energético de los sistemas HVAC, desde la visión del consumo racional basado en las condiciones de funcionamiento de los mismos. Lo anterior, implica analizar y correlacionar el comportamiento de los sistemas HVAC con los cambios en el comportamiento de las condiciones de la temperatura del medio ambiente (externa). Además, integrar soluciones de control y monitoreo a las tecnologías de internet de las Cosas (IoT) para gestionar información valiosa a partir del análisis de datos en tiempo real. Es así que, el presente documento resume el desarrollo de un sistema de control y monitoreo de consumo energético para un sistema de aire acondicionado (AC) orientado a IoT. Con la implementación de tecnologías basadas en IoT se logra un aporte significativo a las herramientas de monitoreo, adquisición de datos y por ende, de seguimiento para la evaluación de las técnicas de control de estos sistemas. La acción de monitoreo genera grandes cantidades de datos que pueden interesarle a los usuarios, investigadores o empresas distribuidoras y comercializadoras de sistemas de climatización. Dentro del documento se definen los requisitos y técnicas de control, para el desarrollo de un dispositivo embebido usando una arquitectura basada en el protocolo MQTT aplicada al sistema de climatización. Al igual que se describen las etapas consideradas durante la implementación en un sistema HVAC tipo mini-split convencional. Finalmente, los resultados del sistema de control y monitoreo son comparados con los datos del mismo sistema sin el dispositivo embebido a fin de validar funcionamiento, implementación e integración con el sistemaspaCorporación Universidad de la CostaMaestría en IngenieríaAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Sistemas HVACControlMonitoreoLoTHVACHVAC systemsControlMonitoringSistema de control y monitoreo de consumo energético para equipos de climatización orientado a internet de las cosas (IOT)Trabajo de grado - Pregradohttp://purl.org/coar/resource_type/c_7a1fTextinfo:eu-repo/semantics/bachelorThesishttp://purl.org/redcol/resource_type/TPinfo:eu-repo/semantics/acceptedVersionAfram, A., & Janabi-Sharifi, F. (2014). Theory and applications of HVAC control systems - A review of model predictive control (MPC). Building and Environment, 72, 343–355. https://doi.org/10.1016/j.buildenv.2013.11.016Alavi, A. H., Jiao, P., Buttlar, W. G., & Lajnef, N. (2018). Internet of Things-enabled smart cities: State-of-the-art and future trends. Measurement, 129, 589–606. https://doi.org/https://doi.org/10.1016/j.measurement.2018.07.067Alliance, Z. (2008). Zigbee Specification. Zigbee Alliance Website, 1–604. https://doi.org/http://people.ece.cornell.edu/land/courses/ece4760/FinalProjects/s2011/kjb7 9_ajm232/pmeter/ZigBee%20Specification.pdfAmorim, H. S. do, Dias, M. A., & Soares, V. (2015). Sensores digitais de temperatura com tecnologia one-wire: Um exemplo de aplicação didática na área de condução térmica. Revista Brasileira de Ensino de Física. https://doi.org/10.1590/S1806-11173742009Andrew Banks and Rahul Gupta. (2013). OASIS Committee Specification Draft 01 / Public Review Draft 01, (12 December).Aosong. (2018). CM2301 temperature and humidity sensor. Retrieved from http://www.aosong.com/en/products-28.htmlApache. (2017). The Apache Software Foundation! Apachefriends. (2017). XAMPP Installers and Downloads for Apache Friends.Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787–2805. https://doi.org/10.1016/j.comnet.2010.05.010Burgos, Á. M., Argüello, J. A., Prause, J., & Cenóz, P. J. (2013). Fenología de los estados egetativos de mandioca (Manihot esculenta Crantz) en base al tiempo térmico. Revista de La Facultad de Ciencias Agrarias. Universidad Nacional de Cuyo, 45(1).Cama-Pinto, A., Piñeres-Espitia, G., Zamora-Musa, R., Acosta-Coll, M., Caicedo-Ortiz, J., & Sepúlveda-Ojeda, J. (2016). Diseño de una red de sensores inalámbricos para la monitorización de inundaciones repentinas en la ciudad de Barranquilla, Colombia. Ingeniare. Revista Chilena de Ingeniería. https://doi.org/10.4067/S0718 33052016000400005Christian, T. T., Daniel, T., & Anaclet, F. (2018). NodeMCU in Patient ’ s Data Transfer to IoT Platform, (May), 1–10.Colina, A. L., Vives, A., Zennaro, M., Bagula, A., & Pietrosemoli, E. (2016). Internet of Thingsv In 5 Days.Dignani, J. P. (2012). Análisis del protocolo ZigBee. Retrieved from http://sedici.unlp.edu.ar/handle/10915/18349Echun Electronic Co., L. (2018). Split Core Current Transformer ECS1030-L72. Echun Electronic Co., Ltd., 3. Retrieved from https://cdn.sparkfun.com/datasheets/Sensors/Current/ECS1030-L72-SPEC.pdfEguílaz, M. M. (2017). Programando directamente un ESP8266 (p. 52). electronicapty. (2018a). Modulo Sensor Emisor infrarrojo KY-005 para Arduino. Retrieved from http://www.electronicapty.com/modulo-sensor-emisor-infrarrojo-ky-005-para-arduino detail?tmpl=component&format=pdf electronicapty. (2018b). Modulo sensor receptor Infrarrojo KY-022 para Arduino. Retrieved from http://www.electronicapty.com/Evans, D. (2011). The Internet of Things: How the Next Evolution of the Internet Is Changing Everything.Evans, D., Figuerola, N., Fundación de la Innovación Bankinter, Isenstadt, S., Security, N. C., Proves, A., … Robla, I. (2011). Internet de las cosas: Cómo la próxima evolución de Internet lo cambia todo. Journal of Food Engineering, 49(Emim), 314–318. https://doi.org/10.2991/emim-15.2015.61Eyras, P. (2012). CLIMATIZACION NATURAL DE AMBIENTES DENTRO DE LAS CABAÑAS DE LA “ COSTA.Ibiblio. (2016). Capítulo 2. La Arquitectura LAMP.International Energy Agency. (2016). Indicadores de Eficiencia Energética: Fundamentos Estadísticos (pp. 1–211). Retrieved from www.iea.org/books%0Ahttps://www.iea.org/publications/freepublications/publication/Indi cadoresdeEficienciaEnergética_FundamentosEstadísticos.pdfLin, B. Y. P. I., & Broberg, H. L. (2001). Remote control of HVAC APPLICATIONS allows for BETTER CONTROL and ENERGY UTILIZATION, 49–54.Madakam, S., Ramaswamy, R., & Tripathi, S. (2015). 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