Towards a general framework for an observation and knowledge based model of occupant behaviour in office buildings

This paper proposes a new general approach based on Bayesian networks to model the human behaviour. This approach represents human behaviour withprobabilistic cause-effect relations based not only on previous works, but also with conditional probabilities coming either from expert knowledge or deduced from observations. The approach has been used in the co-simulation of building physics and human behaviour in order to assess the CO 2 concentration in an office.Comment: IBPC 2015 Turin , Jun 2015, Turin, Italy. 201

The impact of terminal re-organisation on belly-hold freight operation chains at airports

While it is widely acknowledged that airport re-organisation from destination to dedicated airline group terminals makes passenger travel more seamless, more efficient and also more profitable for both airlines and airports, there is little known about the impacts of such change on freight and in particular belly-hold cargo and luggage chains. Our analysis includes data from all airports in Australia and discusses cases from around the world but focuses primarily on the proposed re-organisation of Sydney Kingsford Smith airport. This paper reveals a significant relationship between international freight volumes, terminal organisation and aircraft type usage, indicating potential problems related to airport design and freight value chains at the airport. However, our interviews of relevant stakeholders don’t support these findings and show, beside some drawbacks, a number of benefits for belly-hold freight operations that can result from airline group terminal organisation

Prospective créative énergie habitat territoires. Rapport de synthèse

Pour répondre aux enjeux de la transition énergétique, des chercheurs en Sciences Humaines et Sociales, en Sciences pour l’Ingénieur et en Architecture ont collaboré depuis 2013 dans le cadre de l'atelier «Prospective Créative Énergie Habitat Territoires» soutenu par l’ARC Energie de la Région Rhône-Alpes. Ils ont identifié les questionnements sociétaux et professionnels qui nécessitent des approches interdisciplinaires. Des projets de recherche ont été esquissés. Présentés à une cinquantaine d'acteurs de la R&D et de l'innovation urbaine, ils ont fait l'objet de fiches thématiques commentées par des grands témoins :- Coordination des systèmes énergétiques dans les espaces urbanisés- Nouveaux services pour le secteur du bâtiment- Résilience des bâtiments, des réseaux et du territoire- Conception collaborative centrée utilisateur- Généralisation des innovation

Prospective créative énergie habitat territoires. Rapport de synthèse

Pour répondre aux enjeux de la transition énergétique, des chercheurs en Sciences Humaines et Sociales, en Sciences pour l’Ingénieur et en Architecture ont collaboré depuis 2013 dans le cadre de l'atelier «Prospective Créative Énergie Habitat Territoires» soutenu par l’ARC Energie de la Région Rhône-Alpes. Ils ont identifié les questionnements sociétaux et professionnels qui nécessitent des approches interdisciplinaires. Des projets de recherche ont été esquissés. Présentés à une cinquantaine d'acteurs de la R&D et de l'innovation urbaine, ils ont fait l'objet de fiches thématiques commentées par des grands témoins :- Coordination des systèmes énergétiques dans les espaces urbanisés- Nouveaux services pour le secteur du bâtiment- Résilience des bâtiments, des réseaux et du territoire- Conception collaborative centrée utilisateur- Généralisation des innovation

VtkSMP: Task-based Parallel Operators for VTK Filters

International audienceNUMA nodes are potentially powerful but taking benefit of their capabilities is challenging due to their architec- ture (multiple computing cores, advanced memory hierarchy). They are nonetheless one of the key components to enable processing the ever growing amount of data produced by scientific simulations. In this paper we study the parallelization of patterns commonly used in VTK algorithms and propose a new multi- threaded plugin for VTK that eases the development of parallel multi-core VTK filters. We specifically focus on task-based approaches and show that with a limited code refactoring effort we can take advantage of NUMA node capabilities. We experiment our patterns on a transform filter, base isosurface extraction filter and a min/max tree accelerated isosurface extraction. We support 3 programming environments, OpenMP, Intel TBB and X-KAAPI, and propose different algorithmic refinements according to the capabilities of the target environment. Results show that we can speed execution up to 30 times on a 48-core machine

Estimating Occupancy in Residential Context Using Bayesian Networks for Energy Management

International audienceA general approach is proposed to determine occupant behavior (occupancy and activity) in residential buildings and to use these estimates for improved energy management. Occupant behaviour is modelled with a Bayesian Network in an unsupervised manner. This algorithm makes use of domain knowledge gathered via questionnaires and recorded sensor data for motion detection, power, and hot water consumption as well as indoor CO₂ concentration. Two case studies are presented which show the real world applicability of estimating occupant behaviour in this way. Furthermore, experiments integrating occupancy estimation and hot water production control show that energy efficiency can be increased by roughly 5% over known optimal control techniques and more than 25% over rule-based control while maintaining the same occupant comfort standards. The efficiency gains are strongly correlated with occupant behaviour and accuracy of the occupancy estimates

Economical Analysis of Flexibility in Micro Grids

International audienceAs energy demand increased and production means diversified, conventional approaches of looking into distri- bution grids need to evolve. The Smart Grid paradigm introduces new possibilities of real-time market sensing and interaction models between producers and consumers. In particular, by understanding the types of con- sumers and their potential willingness to adapt their energy demand with price incentives, innovative pricing strategies in the Smart Grid are expected to lead to better production management, profit maximization and end consumers satisfaction levels. In this work we propose a novel framework and a simulation scenario of a global energy network with heterogeneous types of producers and consumers from which different types of behaviors and interactions can be studied

Economical Analysis of Flexibility in Micro Grids

International audienceAs energy demand increased and production means diversified, conventional approaches of looking into distri- bution grids need to evolve. The Smart Grid paradigm introduces new possibilities of real-time market sensing and interaction models between producers and consumers. In particular, by understanding the types of con- sumers and their potential willingness to adapt their energy demand with price incentives, innovative pricing strategies in the Smart Grid are expected to lead to better production management, profit maximization and end consumers satisfaction levels. In this work we propose a novel framework and a simulation scenario of a global energy network with heterogeneous types of producers and consumers from which different types of behaviors and interactions can be studied