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BL
Bruno Lacarrière
Bruno Lacarrière
Professeur IMT Atlantique
Laboratoire GEPEA UMR CNRS 6144
3
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
Publications
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Optimal heat and electric power flows in the presence of intermittent renewable source, heat storage and variable grid electricity tariffEnergy Conversion and Management, 2021, 243, pp.114430. ⟨10.1016/j.enconman.2021.114430⟩
Article dans une revue
hal-03271734v1
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Electrified District Heating Networks: A Thermo-Economic Optimisation Based on Exergy and Energy AnalysesInternational Journal of Exergy, 2021, 35 (1), ⟨10.1504/IJEX.2021.115088⟩
Article dans une revue
hal-03214522v1
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Metamodeling Based Approach for District Heat Network AggregationInternational Conference on Time Series and Forecasting, ITISE 2019, Sep 2019, Grenade, Spain. pp.295-307
Communication dans un congrès
emse-02301028v1
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