Optimal lighting control strategy for lighting system based on multivariable fractional-order extremum seeking method

2018 ◽  
Author(s):  
Chun Yin ◽  
Sara Dadras ◽  
Xuegang Huang ◽  
Hadi Malek ◽  
Yuhua Cheng
Keyword(s):  
Fractional Order ◽  
Control Strategy ◽  
Extremum Seeking ◽  
Lighting System ◽  
Lighting Control

Design of optimal lighting control strategy based on multi-variable fractional-order extremum seeking method

2018 ◽  
Vol 465 ◽  
pp. 38-60 ◽  
Author(s):  
Chun Yin ◽  
Xuegang Huang ◽  
Sara Dadras ◽  
YuHua Cheng ◽  
Jiuwen Cao ◽  
...  
Keyword(s):  
Fractional Order ◽  
Control Strategy ◽  
Extremum Seeking ◽  
Lighting Control

Fractional-order adaptive minimum energy cognitive lighting control strategy for the hybrid lighting system

2015 ◽  
Vol 87 ◽  
pp. 176-184 ◽  
Author(s):  
Chun Yin ◽  
Brandon Stark ◽  
YangQuan Chen ◽  
Shou-ming Zhong ◽  
Erik Lau
Keyword(s):  
Fractional Order ◽  
Control Strategy ◽  
Minimum Energy ◽  
Lighting System ◽  
Lighting Control

scholarly journals A Supervisory Control Strategy for Improving Energy Efficiency of Artificial Lighting Systems in Greenhouses

Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 202
Author(s):  
Gianluca Serale ◽  
Luca Gnoli ◽  
Emanuele Giraudo ◽  
Enrico Fabrizio
Keyword(s):  
Control Strategy ◽  
Light Emitting Diode ◽  
Cost Savings ◽  
Energy Performance ◽  
Lighting System ◽  
Light Emitting ◽  
Artificial Lighting ◽  
Lighting Control ◽  
Lighting Systems ◽  
Power Densities

Artificial lighting systems are used in commercial greenhouses to ensure year-round yields. Current Light Emitting Diode (LED) technologies improved the system efficiency. Nevertheless, having artificial lighting systems extended for hectares with power densities over 50W/m2 causes energy and power demand of greenhouses to be really significant. The present paper introduces an innovative supervisory and predictive control strategy to optimize the energy performance of the artificial lights of greenhouses. The controller has been implemented in a multi-span plastic greenhouse located in North Italy. The proposed control strategy has been tested on a greenhouse of 1 hectare with a lighting system with a nominal power density of 50 Wm−2 requiring an overall power supply of 1 MW for a period of 80 days. The results have been compared with the data coming from another greenhouse of 1 hectare in the same conditions implementing a state-of-the-art strategy for artificial lighting control. Results outlines that potential 19.4% cost savings are achievable. Moreover, the algorithm can be used to transform the greenhouse in a viable source of energy flexibility for grid reliability.

Energy-saving control strategy for lighting system based on multivariate extremum seeking with Newton algorithm

2017 ◽  
Vol 142 ◽  
pp. 504-522 ◽  
Author(s):  
Chun Yin ◽  
Sara Dadras ◽  
Xuegang Huang ◽  
Jun Mei ◽  
Hadi Malek ◽  
...  
Keyword(s):  
Energy Saving ◽  
Control Strategy ◽  
Extremum Seeking ◽  
Lighting System ◽  
Newton Algorithm ◽  
Energy Saving Control

Multidimensional Fractional-Order Newton-Based Extremum Seeking for Online Light-Energy Saving Technique of Lighting System

2020 ◽  
Vol 67 (10) ◽  
pp. 8576-8586 ◽  
Author(s):  
Chun Yin ◽  
Sara Dadras ◽  
Yu-Hua Cheng ◽  
Xuegang Huang ◽  
Jiuwen Cao ◽  
...  
Keyword(s):  
Energy Saving ◽  
Fractional Order ◽  
Light Energy ◽  
Extremum Seeking ◽  
Lighting System ◽  
Energy Saving Technique
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