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Bruno Lacarrière
Bruno Lacarrière
Professeur IMT Atlantique
Laboratoire GEPEA UMR CNRS 6144
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Documents
Identifiants chercheurs
- bruno-lacarriere
- IdRef : 078096057
- 0000-0003-2827-3126
Présentation
My research activity aims at exploring the different solutions to model the energy systems complexity, taking into account different scales (from energy conversion technologies to interconnected energy distribution networks), different operational objectives (sizing, control), and the diversity of temporal dynamics. Developed modeling tools combined physics-based models and Machine Learning. The optimization strategies explore and combine different solutions going from exact mathematical solutions to meta-heuristics.
The works done are strongly connected to the constraints of practical implementation of proposed solutions as most of the research is done in collaboration with stakeholders of the territorial energy planification (local authorities, energy companies, energy networks operators…). Last, these works include the analysis of data quality impact on modeling and optimization developments thanks to the uncertainty and sensitivity analyses
Domaines de recherche
Génie des procédés
Compétences
Energy systems
Multi-energy system (District Heating and Electricity Grid coupling)
Modeling (Physics based, Machine learning, Hybrid modeling)
Optimization (exact mathematical models, (meta)heuristics, nested optimization
Data uncertainty and sensitivity analysis
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Combining a dynamic simulation tool and a multi-criteria decision aiding algorithm for improving existing District HeatingEnergy Procedia, 2018, 149, pp.266 - 275. ⟨10.1016/j.egypro.2018.08.191⟩
Article dans une revue
hal-01877938v1
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Pseudo-dynamic simulation on a district energy system made of coupling technologiesECOS 2018 : 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Jun 2018, Guimaraes, Portugal
Communication dans un congrès
hal-01879566v1
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Dynamic Modeling of Heat Transport in District Heating NetworksECOS 2018 - 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Jun 2018, Guimaraes, Portugal
Communication dans un congrès
hal-01879573v1
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Evaluation of the LoRa® technology and assessment of its relevance in optimal district heating managementECOS 2018 - 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Jun 2018, Guimaraes, Portugal
Communication dans un congrès
hal-01879564v1
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