Empirical approach for real-time estimation of air flow rates in a subway station

Perna, Costanzo Di; Carbonari, Alessandro; Ansuini, Roberta; Casals, Miquel

doi:10.1016/j.tust.2014.01.003

Cited by 25 publications

(16 citation statements)

References 23 publications

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“…The calibrated measurements of air speed were then multiplied by the cross section, so as to work out air flow rates. The validity of this procedure was already demonstrated by the authors in a previous research paper [8]. More specifically, numerical simulations supported by experimental evidence showed that obstacles that may be found in corridors (e.g.…”

Section: Air Change Ratessupporting

confidence: 55%

A Wireless System for Real-Time Environmental and Energy Monitoring of a Metro Station: Lessons Learnt from a Three-Year Research Project

Nurchis¹,

Valta²,

Vaccarini³

et al. 2015

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Optimal energy management of underground transportation systems is widely recognized as a key aspect for significant energy savings at regional level. The three-year long EU funded "Seam4us" research project (2011 to 2014) aims to create a system for optimized integrated energy management, relying on the Passeig de Gracia metro station in Barcelona as the pilot station. One of the outcomes of the project was the installation of a wireless sensor network, in order to track in real time both environmental and energy parameters. The data collected by the network have been exploited to inform an intelligent control system about the state of the station. In fact, a reliable real-time sensing is critical for implementing advanced control policies in any kind of environment. For that reason, this paper will report on the Seam4us findings regarding real-time sensing of that quite harsh domain. The design criteria and constraints that led to the final installation will be argued. Then, post-processing functions, i.e. those algorithms turning raw data into the variables which can be processed by the controller, will be described. Finally, the general performance of the system will be discussed, in terms of reliability of data exchange and energy efficiency.

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Section: Air Change Ratessupporting

confidence: 55%

A Wireless System for Real-Time Environmental and Energy Monitoring of a Metro Station: Lessons Learnt from a Three-Year Research Project

Nurchis¹,

Valta²,

Vaccarini³

et al. 2015

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

View full text Add to dashboard Cite

show abstract

Section: Air Change Ratessupporting

confidence: 53%

“…More specifically, numerical simulations supported by experimental evidence showed that obstacles that may be found in corridors (e.g. people) affect just locally air speed field in any cross section of corridors, and do not change the overall balance estimated in the case of unobstructed corridor's cross section [32]. In other words, any air speed value on the middle cross section of corridors could be correlated with the average air speed across corridors.…”

Section: Air Change Ratesmentioning

confidence: 91%

Wireless Real-Time Monitoring System for the Implementation of Intelligent Control in Subways

Carbonari¹,

Vaccarini²,

Valta³

et al. 2016

Real-Time Systems

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This chapter looks into the technical features of state-of-the-art wireless sensors networks for environmental monitoring. Technology advances in low-power and wireless devices have made the deployment of those networks more and more affordable. In addition, wireless sensor networks have become more flexible and adaptable to a wide range of situations. Hence, a framework for their correct implementation will be provided. Then, one specific application about real-time environmental monitoring in support of a modelbased predictive control system installed in a metro station will be described. In these applications, filtering, resampling, and post-processing functions must be developed, in order to convert raw data into a dataset arranged in the right format, so that it can inform the algorithms of the control system about the current state of the domain under control. Finally, the whole architecture of the model-based predictive control and its final performances will be reported.

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“…Simulations also supported the sensor network design by analysing ventilation patterns at different points of the station. Models were validated through an on-site measurement campaign using a weather station placed on top of one of the entrances [22]. Although the CFD modelling provided a qualitative insight into the station's behaviour, it did not offer enough flexibility to be included in a complex control algorithm [20].…”

Section: Environmental Modelmentioning

confidence: 99%

SEAM4US: An intelligent energy management system for underground stations

et al. 2016

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Aquesta és una còpia de la versió author's final draft d'un article publicat a la revista Applied energy. URL d'aquest document a UPCommons E-prints: http://hdl.handle.net/2117/87703 Article publicat / Published paper:Casals, M., Gangolells, M., Forcada, N., Macarulla, M., Giretti, A., Vaccarini, M. (2016) SEAM4US: an intelligent energy management system for underground stations. . Aquesta versió està disponible sota la llicència CC-BY-NC-ND 3.0 http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 1 Casals M., Gangolells M., Forcada N., Macarulla M., Giretti A., Vaccarini M. SEAM4US: an intelligent energy management system for underground stations. Applied Energy, 2016, 166: 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 87,339 kWh. 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%).

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Empirical approach for real-time estimation of air flow rates in a subway station

Cited by 25 publications

References 23 publications

A Wireless System for Real-Time Environmental and Energy Monitoring of a Metro Station: Lessons Learnt from a Three-Year Research Project

A Wireless System for Real-Time Environmental and Energy Monitoring of a Metro Station: Lessons Learnt from a Three-Year Research Project

Wireless Real-Time Monitoring System for the Implementation of Intelligent Control in Subways

SEAM4US: An intelligent energy management system for underground stations

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