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SEAM4US: An intelligent energy management system for underground stations

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  • Casals, Miquel
  • Gangolells, Marta
  • Forcada, Núria
  • Macarulla, Marcel
  • Giretti, Alberto
  • Vaccarini, Massimo

Abstract

Several previous research initiatives have highlighted the role of Information and Communication Technologies (ICT) as key enablers for decreasing energy usage in buildings. However, few advances have been achieved in underground public spaces. This paper introduces a novel intelligent energy management system for underground stations. The system implements artificial intelligence solutions for autonomous building system control, based on advanced control algorithms that can learn from previous operations and situations. The robustness needed to operate in public spaces is achieved through a seamlessly integrated monitoring grid with self-diagnosis mechanisms. A middleware platform integrates existing devices, subsystems and newly deployed sensor-actuator networks. Results obtained during the implementation of the system in a prototype underground station showed potential yearly energy savings ranging between 74,336 and 87,339kWh. The highest energy savings potential was found in the ventilation subsystem (30.6%±2.0%), followed by the lighting system (24.1%±1.9%) and escalators (8.5%±1.9%).

Suggested Citation

  • Casals, Miquel & Gangolells, Marta & Forcada, Núria & Macarulla, Marcel & Giretti, Alberto & Vaccarini, Massimo, 2016. "SEAM4US: An intelligent energy management system for underground stations," Applied Energy, Elsevier, vol. 166(C), pages 150-164.
    • Handle: RePEc:eee:appene:v:166:y:2016:i:c:p:150-164
    DOI: 10.1016/j.apenergy.2016.01.029
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    References listed on IDEAS

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    1. Leung, Philip C.M. & Lee, Eric W.M., 2013. "Estimation of electrical power consumption in subway station design by intelligent approach," Applied Energy, Elsevier, vol. 101(C), pages 634-643.
    2. Gangolells, Marta & Casals, Miquel & Forcada, Núria & Macarulla, Marcel & Giretti, Alberto, 2015. "Environmental impacts related to the commissioning and usage phase of an intelligent energy management system," Applied Energy, Elsevier, vol. 138(C), pages 216-223.
    3. Gangolells, Marta & Casals, Miquel & Forcada, Núria & Macarulla, Marcel & Giretti, Alberto, 2016. "Energy performance assessment of an intelligent energy management system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 662-667.
    4. Beaudin, Marc & Zareipour, Hamidreza, 2015. "Home energy management systems: A review of modelling and complexity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 318-335.
    5. Shaikh, Pervez Hameed & Nor, Nursyarizal Bin Mohd & Nallagownden, Perumal & Elamvazuthi, Irraivan & Ibrahim, Taib, 2014. "A review on optimized control systems for building energy and comfort management of smart sustainable buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 409-429.
    6. Petri, Ioan & Li, Haijiang & Rezgui, Yacine & Chunfeng, Yang & Yuce, Baris & Jayan, Bejay, 2014. "A modular optimisation model for reducing energy consumption in large scale building facilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 990-1002.
    7. Gulbinas, R. & Jain, R.K. & Taylor, J.E., 2014. "BizWatts: A modular socio-technical energy management system for empowering commercial building occupants to conserve energy," Applied Energy, Elsevier, vol. 136(C), pages 1076-1084.
    8. Khan, Aftab Ahmed & Razzaq, Sohail & Khan, Asadullah & Khursheed, Fatima & Owais,, 2015. "HEMSs and enabled demand response in electricity market: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 773-785.
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    Cited by:

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