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Thesis
Home / Post Doctorat / Optimal Multi Agent System management of smart heat grid using thermal storage
Optimal Multi Agent System management of smart heat grid using thermal storage
Computer science and softwareEngineering sciencesThermal energy, combustion, flows
Abstract
The aim of this work is a major contribution to a software framework based on coupling of Modelica/Jade environments that will allow to model, to simulate and to optimise the control of smart heat grid through dedicated thermal storage models development: interface specification to control the storages in the grid, simplified models design of heat grid’s most crucial components to be integrated in Agents (production, distribution/storage, consumption) and design of consumption and production forecast models in order to manage anticipation and improve the overall efficiency. The evaluation of performance is based on the test case build in Modelica simulation environment.
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