TY - GEN
T1 - Identification for Cooling System in Flower Greenhouse
AU - Roncancio, Sebastian
AU - Vuelvas, Jose
AU - Patino, Diego
AU - Correa-Florez, Carlos Adrian
N1 - Publisher Copyright:
© 2021 IEEE.
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%.
KW - ARMAX
KW - ARX
KW - Identification systems
KW - MOESP
KW - N4SID
UR - http://www.scopus.com/inward/record.url?scp=85124140421&partnerID=8YFLogxK
U2 - 10.1109/CCAC51819.2021.9633264
DO - 10.1109/CCAC51819.2021.9633264
M3 - Conference contribution
AN - SCOPUS:85124140421
T3 - Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021
SP - 86
EP - 91
BT - Proceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021
A2 - Martinez, Diana Marcela Ovalle
A2 - Alfonso, Luis Francisco Combita
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 -
