Comparative and Sensibility Analysis of Cooling Systems DOI Creative Commons
E.-G. Espinosa–Martínez, S. Quezada–García,

M. Azucena Escobedo–Izquierdo

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(17), P. 4452 - 4452

Published: Sept. 5, 2024

As the global average temperature has increased due to climate change, use of air conditioning equipment for cooling homes become more popular. Inverter is advertised as a better energy option than systems with an on/off control; however, there lack sufficient studies prove this. This work aims analyze and compare electricity consumption associated control inverter equipment. A heat transfer model coupled balance room developed implemented in Python 3.12. The indoor controlled by simulating PID system. Subsequently, two compared, sensitivity analysis performed determine which variables have greatest impact on consumption. results show that lower compared control. However, shows set point plays relevant role since 15% variation its value impacts up 77%.

Language: Английский

Unsupervised Domain Adaptation for Hvac Fault Diagnosis Using Contrastive Adaptation Network DOI
Naghmeh Ghalamsiah, Jin Wen, K. Selçuk Candan

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Unsupervised domain adaptation for HVAC fault diagnosis using contrastive adaptation network DOI
Naghmeh Ghalamsiah, Jin Wen,

K.Selcuk Candan

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115659 - 115659

Published: March 1, 2025

Language: Английский

Citations

0
A two-stage learning framework for imbalanced semi-supervised domain generalization fault diagnosis under unknown operating conditions DOI
Chuanxia Jian, Heen Chen, Yinhui Ao

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102878 - 102878

Published: Oct. 1, 2024

Language: Английский

Citations

3
Adaptive Fusion Graph Convolutional Networks Based Interpretable Fault Diagnosis Method for HVAC Systems Enhanced by Unlabeled Data DOI
Qiao Deng, Zhiwen Chen,

Wanting Zhu

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 324, P. 114901 - 114901

Published: Oct. 11, 2024

Language: Английский

Citations

2
Intra-domain self generalization network for intelligent fault diagnosis of bearings under unseen working conditions DOI
Kai Huang, Zhijun Ren, Linbo Zhu

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 64, P. 102997 - 102997

Published: Dec. 12, 2024

Language: Английский

Citations

2
Comparative and Sensibility Analysis of Cooling Systems DOI Creative Commons
E.-G. Espinosa–Martínez, S. Quezada–García,

M. Azucena Escobedo–Izquierdo

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(17), P. 4452 - 4452

Published: Sept. 5, 2024

As the global average temperature has increased due to climate change, use of air conditioning equipment for cooling homes become more popular. Inverter is advertised as a better energy option than systems with an on/off control; however, there lack sufficient studies prove this. This work aims analyze and compare electricity consumption associated control inverter equipment. A heat transfer model coupled balance room developed implemented in Python 3.12. The indoor controlled by simulating PID system. Subsequently, two compared, sensitivity analysis performed determine which variables have greatest impact on consumption. results show that lower compared control. However, shows set point plays relevant role since 15% variation its value impacts up 77%.

Language: Английский

Citations

0