Inicio  /  Infrastructures  /  Vol: 3 Par: 4 (2018)  /  Artículo
ARTÍCULO
TITULO

Integration of Thermoactive Metro Stations in a Smart Energy System: Feedbacks from the Grand Paris Project

Yvon Delerablée    
Dina Rammal    
Hussein Mroueh    
Sébastien Burlon    
Julien Habert and Charline Froitier    

Resumen

During the next 15 years, around 200 km of tunnels and 68 new metro stations will be built around Paris to increase the capacity of the existing metro and the transport efficiency. The Société du Grand Paris?the public entity in charge of the design and the execution of this new network?is also highly concerned by the development and the use of renewable energy within this project, especially the integration of thermoactive metro stations in a smart energy system. This paper discusses some issues related to this strategy within the ?Grand Paris Project?. The first part presents how smart technology could help to the integration of thermoactive metro stations into the urban energy system, while the second part addresses the following issues: assessment of the geothermal potential, estimate of the energy demand, ground investigations, thermal design, and finally system monitoring. The mechanical design is not considered in this paper. The paper shows the pertinence of the smart energy system for the integration of the thermoactive metro stations energy and the procedure for its implementation.

Palabras claves

 Artículos similares

       
 
Nasour Bagheri, Ygal Bendavid, Masoumeh Safkhani and Samad Rostampour    
A smart grid is an electricity network that uses advanced technologies to facilitate the exchange of information and electricity between utility companies and customers. Although most of the technologies involved in such grids have reached maturity, smar... ver más
Revista: Future Internet

 
Naseem Adnan Alsamarai and Osman Nuri Uçan    
Today, the IoT has become a vital part of our lives because it has entered into the precise details of human life, like smart homes, healthcare, eldercare, vehicles, augmented reality, and industrial robotics. Cloud computing and fog computing give us se... ver más
Revista: Applied Sciences

 
D. Criado-Ramón, L. G. B. Ruiz, J. R. S. Iruela and M. C. Pegalajar    
This paper introduces the first completely unsupervised methodology for non-intrusive load monitoring that does not rely on any additional data, making it suitable for real-life applications. The methodology includes an algorithm to efficiently decompose... ver más
Revista: Information

 
Geoffrey Aerts and Guy Mathys    
This study investigates digitalization in the shipping industry by analyzing over 500 industry presentations from an eight-year span to discern key trends and nascent signals. Employing optical character recognition, advanced natural language processing ... ver más

 
Woo-Hyun Choi and Jung-Ho Lewe    
This study proposes a deep learning model utilizing the BACnet (Building Automation and Control Network) protocol for the real-time detection of mechanical faults and security vulnerabilities in building automation systems. Integrating various machine le... ver más
Revista: Buildings