N. Couillaud’s research while affiliated with Scientific and Technical Center for Building and other places

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Publications (4)


Figure 10. Données personnelles-Caractéristiques clés. 
LES PRINCIPAUX RÉSULTATS SCIENTIFIQUES DU DÉMONSTRATEUR SMART ELECTRIC LYON
  • Technical Report
  • Full-text available

June 2017

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673 Reads

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2 Citations

Nicolas PHILIBERT

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Alain MARTI

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Philippe GOUY

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Olivier TOURNAIRE

Les résultats présentés dans ce document concernent les terrains sur lesquels le projet Smart Electric Lyon s’est déployé, à savoir, des bâtiments existants. Ces bâtiments appartiennent au secteur Résidentiel et à celui du Tertiaire et des Collectivités locales. Les participants à l’expérimentation (les clients) sont dans une démarche d’amélioration de leurs pratiques énergétiques. > Rappelons que la maîtrise de la demande en électricité (MDE) est associée à une diminution de consommation d’énergie alors que la flexibilité l’est à une variation de la puissance (active ou réactive) en réponse à une sollicitation ponctuelle et contractualisée. Plus simplement, du point du vue du consommateur, la MDE a des conséquences immédiates et locales tandis que l’impact de la flexibilité ne se mesure qu’au niveau de l’ensemble du système électrique. Ceci peut entraîner des logiques différentes de la part des clients en termes de motivations et d’actions. > La feuille de route du projet Smart Electric Lyon s’articule bien autour de la question de la flexibilité1. L’expérimentation imaginée pour traiter cette question consiste à utiliser le compteur communicant Linky associé à des équipements connectés de partenaires industriels - équipements d’affichage des consommations et de pilotage des appareils électriques - principalement sur le chauffage électrique, pour réaliser des effacements2 pendant la pointe de demande journalière en électricité, sur les jours de l’année les plus critiques (22 jours froids par an, entre 18h et 20h). Pour les clients - les particuliers, les entreprises, les collectivités - Smart Electric Lyon permet d’améliorer la qualité des produits et services, qui peuvent leur être proposés pour réduire leur consommation énergétique tout en maintenant leur niveau de confort et de productivité.

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Table 1 pane properties of the window; PANE PROPERTY VALUE
Figure 2 Simplified representation of the model structure's first layer; 
A multizone building model for matlab/simulink environment

January 2005

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1,544 Reads

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18 Citations

Building Simulation

Matlab/Simulink is known in a large number of fields as a powerful and modern simulation tool. In the field of building and HVAC simulation its use is also increasing. However, it is still believed to be a tool for small applications due to its graphical structure and not to fit well for the simulation of multizone buildings. This paper presents the development of a new multizone building model for Matlab/Simulink environment, implemented into the SIMBAD Building and HVAC Toolbox. It's general enough to model a variety of useful cases. Conforming to the Simulink philosophy, the model is modular and structured into blocks to represent the modelled phenomena. To simplify the description of the simulated building, a graphical user interface SIMBDI is developed in parallel, generating an xml building description file. This file can be read directly by the SIMBAD multizone building model. Finally, a simulation case is presented in order to compare the new model with the Trnsys multizone building model.


Automatic CX Tool for Electrical Building

11 Reads

Commissioning (Cx) consists in specifying building system performance requirements set by the owner, auditing different judgments and actions performed by the Cx related parties in order to achieve the performance, writing necessary and sufficient documentation, and verifying that the system enables proper operation and maintenance through functional performance testing. The process of Cx is the whole set of tasks ensuring that the performance of buildings meet the awaited performance. This process comes within the scope of Kyoto's protocol by reducing energy consumption and also emission of green house gases (GHG). This study is carried out for an exemplary electrical building of educational facilities. The objectives of the project are to develop and test a Cx tool in order to increase the energy efficiency of the building while ensuring indoor comfort. This study shows that an appropriate design of a building is not sufficient to ensure an effective management of energy. The Cx of installations is an essential step to meet the required energy performances.


Citations (3)


... As an important symbol of Lyon's international innovation Showcase, the showroom became welcoming hall Lyon Metropolis to greet international visitors. Approximately 18,000 local visitors and 8000 official visitors from national and international delegations were received [47]. ...

Reference:

The Socio-Technical Governance of Smart City to Scaffold City Energy Transition Policy
LES PRINCIPAUX RÉSULTATS SCIENTIFIQUES DU DÉMONSTRATEUR SMART ELECTRIC LYON

... These tools enable the determination of airflows between building zones and pollutant concentration levels (considering other indoor sources, sorption on building materials, chemical reactions, etc.) to estimate exposure levels for health risk assessment. In 2012, Abdelouhab developed a coupled model using the multi-zone thermo-aeraulic model developed by Koffi [32], based on the numerical tool called SIMBAD (SIMulator of building And Devices) [33]. This model considered only pollutants coming from the ground, focusing on radon, as indoor pollution. ...

A multizone building model for matlab/simulink environment

Building Simulation

... Also, for obtaining an optimum distribution system, balancing valves are used, combined with differential pressure controller. Several methods of analysing the hydronic balancing were developed [3], this analyse being considered very important from the early design of heating. Table 1, the nominal heat load and the flow rate for each of 16 consumers are presented. ...

Balancing Operation for the Optimization of Hydronic Networks
  • Citing Article