Identification for Cooling System in Flower Greenhouse

Sebastian Roncancio; Jose Vuelvas; Diego Patino; Carlos Adrian Correa-Florez

doi:10.1109/CCAC51819.2021.9633264

Identification for Cooling System in Flower Greenhouse

Sebastian Roncancio, Jose Vuelvas, Diego Patino, Carlos Adrian Correa-Florez

Departamento de Ingeniería Electrónica

Universidad Javeriana

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

The Heating Ventilation and Air Conditioning (HVAC) systems are essential loads in world energy consumption. The proper management of these loads produces a reduction in energy demand. Colombia is an agricultural country, one of its favorite products is flowers. That product needs to be refrigerated for three months to maintain its quality or complete many flowers (a batch) to export and commercialize. In favor of this reason, it is crucial to have an exemplary refrigeration system or improve the current one. This article presents the comparison among some standard system identification algorithms. This development is vital to the flower greenhouses in the Boyacá region to improving efficiency in the post-harvest stage. Matlab software makes the data processing and executes some system identification algorithms in order to determine the most suitable tool for flower greenhouse cooling systems. This process aims to get a fitting percentage above 80%. As a result, the N4SID algorithm presents the best performance with a fitting of 81.23%.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021
Editores	Diana Marcela Ovalle Martinez, Luis Francisco Combita Alfonso
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	86-91
Número de páginas	6
ISBN (versión digital)	9781665418836
DOI	https://doi.org/10.1109/CCAC51819.2021.9633264
Estado	Publicada - 2021
Evento	5th IEEE Colombian Conference on Automatic Control, CCAC 2021 - Ibague, Colombia Duración: 19 oct. 2021 → 22 oct. 2021

Serie de la publicación

Nombre	Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021

Conferencia

Conferencia	5th IEEE Colombian Conference on Automatic Control, CCAC 2021
País/Territorio	Colombia
Ciudad	Ibague
Período	19/10/21 → 22/10/21

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/CCAC51819.2021.9633264

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Roncancio, S., Vuelvas, J., Patino, D., & Correa-Florez, C. A. (2021). Identification for Cooling System in Flower Greenhouse. En D. M. O. Martinez, & L. F. C. Alfonso (Eds.), Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021 (pp. 86-91). (Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCAC51819.2021.9633264

Roncancio, Sebastian ; Vuelvas, Jose ; Patino, Diego et al. / Identification for Cooling System in Flower Greenhouse. Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021. editor / Diana Marcela Ovalle Martinez ; Luis Francisco Combita Alfonso. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 86-91 (Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021).

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title = "Identification for Cooling System in Flower Greenhouse",

abstract = "The Heating Ventilation and Air Conditioning (HVAC) systems are essential loads in world energy consumption. The proper management of these loads produces a reduction in energy demand. Colombia is an agricultural country, one of its favorite products is flowers. That product needs to be refrigerated for three months to maintain its quality or complete many flowers (a batch) to export and commercialize. In favor of this reason, it is crucial to have an exemplary refrigeration system or improve the current one. This article presents the comparison among some standard system identification algorithms. This development is vital to the flower greenhouses in the Boyac{\'a} region to improving efficiency in the post-harvest stage. Matlab software makes the data processing and executes some system identification algorithms in order to determine the most suitable tool for flower greenhouse cooling systems. This process aims to get a fitting percentage above 80%. As a result, the N4SID algorithm presents the best performance with a fitting of 81.23%.",

keywords = "ARMAX, ARX, Identification systems, MOESP, N4SID",

author = "Sebastian Roncancio and Jose Vuelvas and Diego Patino and Correa-Florez, {Carlos Adrian}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 5th IEEE Colombian Conference on Automatic Control, CCAC 2021 ; Conference date: 19-10-2021 Through 22-10-2021",

year = "2021",

doi = "10.1109/CCAC51819.2021.9633264",

language = "English",

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Roncancio, S, Vuelvas, J , Patino, D & Correa-Florez, CA 2021, Identification for Cooling System in Flower Greenhouse. En DMO Martinez & LFC Alfonso (eds.), Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021. Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021, Institute of Electrical and Electronics Engineers Inc., pp. 86-91, 5th IEEE Colombian Conference on Automatic Control, CCAC 2021, Ibague, Colombia, 19/10/21. https://doi.org/10.1109/CCAC51819.2021.9633264

Identification for Cooling System in Flower Greenhouse. / Roncancio, Sebastian; Vuelvas, Jose ; Patino, Diego et al.
Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021. ed. / Diana Marcela Ovalle Martinez; Luis Francisco Combita Alfonso. Institute of Electrical and Electronics Engineers Inc., 2021. p. 86-91 (Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021).

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Identification for Cooling System in Flower Greenhouse

AU - Roncancio, Sebastian

AU - Vuelvas, Jose

AU - Patino, Diego

AU - Correa-Florez, Carlos Adrian

PY - 2021

Y1 - 2021

N2 - The Heating Ventilation and Air Conditioning (HVAC) systems are essential loads in world energy consumption. The proper management of these loads produces a reduction in energy demand. Colombia is an agricultural country, one of its favorite products is flowers. That product needs to be refrigerated for three months to maintain its quality or complete many flowers (a batch) to export and commercialize. In favor of this reason, it is crucial to have an exemplary refrigeration system or improve the current one. This article presents the comparison among some standard system identification algorithms. This development is vital to the flower greenhouses in the Boyacá region to improving efficiency in the post-harvest stage. Matlab software makes the data processing and executes some system identification algorithms in order to determine the most suitable tool for flower greenhouse cooling systems. This process aims to get a fitting percentage above 80%. As a result, the N4SID algorithm presents the best performance with a fitting of 81.23%.

AB - The Heating Ventilation and Air Conditioning (HVAC) systems are essential loads in world energy consumption. The proper management of these loads produces a reduction in energy demand. Colombia is an agricultural country, one of its favorite products is flowers. That product needs to be refrigerated for three months to maintain its quality or complete many flowers (a batch) to export and commercialize. In favor of this reason, it is crucial to have an exemplary refrigeration system or improve the current one. This article presents the comparison among some standard system identification algorithms. This development is vital to the flower greenhouses in the Boyacá region to improving efficiency in the post-harvest stage. Matlab software makes the data processing and executes some system identification algorithms in order to determine the most suitable tool for flower greenhouse cooling systems. This process aims to get a fitting percentage above 80%. As a result, the N4SID algorithm presents the best performance with a fitting of 81.23%.

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KW - ARX

KW - Identification systems

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DO - 10.1109/CCAC51819.2021.9633264

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T3 - Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021

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BT - Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021

A2 - Martinez, Diana Marcela Ovalle

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th IEEE Colombian Conference on Automatic Control, CCAC 2021

Y2 - 19 October 2021 through 22 October 2021

ER -

Roncancio S, Vuelvas J , Patino D, Correa-Florez CA. Identification for Cooling System in Flower Greenhouse. En Martinez DMO, Alfonso LFC, editores, Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 86-91. (Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021). doi: 10.1109/CCAC51819.2021.9633264

Identification for Cooling System in Flower Greenhouse

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