SEAM4US: An intelligent energy management system for underground stations

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

Applied Energy, 2016, vol. 166, issue C, 150-164

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%).

Keywords: Energy management system; Energy consumption; Intelligent control; Underground station; Metro network (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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DOI: 10.1016/j.apenergy.2016.01.029

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