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Modèle d'aide à la conduite de réseaux de froid

Abstract : Cooling demand management of commercial buildings can contribute to limit global warming below 2°C. District cooling is an energy-efficient option. However, improving operational performance is of great importance to ensure and increase its competitive advantages. The aim of this thesis is to contribute to the development of a decision-support tool for daily operation of district cooling networks. Challenges lie at two levels: diversity of decisions to be taken and complexity of physical phenomena involved. The original aspect of our work is to propose a methodology to improve chillers and cooling towers control, differential pressure management and dispatching between production plants with variable efficiency. Our developments are applied to the district cooling of Paris-Bercy, operated by Climespace. First; a model featuring a physical description of chilled-water production plants, distribution network and buildings substations, is developed. In particular, a semi-empirical model with identified parameters is modified to compute non-nominal characteristics of centrifugal chillers. The system model is validated against an independent dataset. Then, the model is used to find optimized controls from cooling loads forecast. The proposed methodology is sequential: pre-computation of optimal set-points at plant level and then generation of quadratic plant models to solve the dispatching optimization problem at each time step. Differential pressure is minimized with a simulation-based tracking of the critical substation. To conclude, electricity consumption reduction with optimized controls is evaluated during a summer week.
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Submitted on : Friday, December 18, 2020 - 9:59:14 AM
Last modification on : Friday, April 29, 2022 - 9:47:24 AM
Long-term archiving on: : Friday, March 19, 2021 - 8:02:07 PM


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  • HAL Id : tel-03081277, version 1


Damien Casetta. Modèle d'aide à la conduite de réseaux de froid. Thermique [physics.class-ph]. Université Paris sciences et lettres, 2017. Français. ⟨NNT : 2017PSLEM012⟩. ⟨tel-03081277⟩



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