TY - GEN
T1 - A novel smart energy management system in sports stadiums
AU - Refaat, Shady S.
AU - Abu-Rub, Haitham
AU - Ellabban, Omar
AU - Kezunovic, Mladen
N1 - Funding Information:
This publication was made possible by the NPRP award [NPRP 7-106 -2-053] from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the author
Publisher Copyright:
© 2016 IEEE and EPE Association.
PY - 2016/10/25
Y1 - 2016/10/25
N2 - Professional and collegiate sport venues consume huge electrical energy. Therefore, a smart management of their electric energy is essential for significant energy saving. Accordingly, this paper proposes a novel embedded real-time, smart, and active energy management system to monitor and efficiently manage such huge and typically uncontrolled energy for minimizing energy consumption and cost per day while considering spectators preferences, comfort level in behavioral modification program, and health aspects. This will provide an opportunity for spectators to reduce energy consumption and improve energy efficiency while considering healthcare concept. In addition, the proposed energy management system is equipped with embedded tools to collect and monitor energy information for each stadium's area. The data are processed and fed to the artificial neural network algorithm that is used for managing and controlling stadium loads. This strategy does not require any change in the conventional stadium electrical panel. The proposed online algorithm yields to improve the overall grid efficiency, reliability, and increase awareness of the importance of energy conservation. Real-Time implementation of the concept is demonstrated and analyzed.
AB - Professional and collegiate sport venues consume huge electrical energy. Therefore, a smart management of their electric energy is essential for significant energy saving. Accordingly, this paper proposes a novel embedded real-time, smart, and active energy management system to monitor and efficiently manage such huge and typically uncontrolled energy for minimizing energy consumption and cost per day while considering spectators preferences, comfort level in behavioral modification program, and health aspects. This will provide an opportunity for spectators to reduce energy consumption and improve energy efficiency while considering healthcare concept. In addition, the proposed energy management system is equipped with embedded tools to collect and monitor energy information for each stadium's area. The data are processed and fed to the artificial neural network algorithm that is used for managing and controlling stadium loads. This strategy does not require any change in the conventional stadium electrical panel. The proposed online algorithm yields to improve the overall grid efficiency, reliability, and increase awareness of the importance of energy conservation. Real-Time implementation of the concept is demonstrated and analyzed.
KW - Energy Efficiency
KW - Energy Management
KW - Energy Saving
KW - Sports Stadiums
UR - http://www.scopus.com/inward/record.url?scp=84996848155&partnerID=8YFLogxK
U2 - 10.1109/EPE.2016.7695647
DO - 10.1109/EPE.2016.7695647
M3 - Conference contribution
AN - SCOPUS:84996848155
T3 - 2016 18th European Conference on Power Electronics and Applications, EPE 2016 ECCE Europe
BT - 2016 18th European Conference on Power Electronics and Applications, EPE 2016 ECCE Europe
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 18th European Conference on Power Electronics and Applications, EPE 2016 ECCE Europe
Y2 - 5 September 2016 through 9 September 2016
ER -