Development of methodology for intelligent transaction sharing and optimal dispatching in a nanotechnology-integrated multi-energy system

projektová dokumentace

en

The building sector has been the target of recent directives on the energy efficiency improvement through renewable energy sources (RES) integration. According to differences of geographical locations, resource abundance and energy consumption, a multi-energy system (MES) means an integration of electricity, heat and cold energies simultaneously for various load demands. However, one of the key issues is how to develop a reliable dispatch model for multi-energy systems. In addition, with the applications of nanomaterials, the devices obtain an increase in efficiency and simultaneously reductions of electricity and manufacturing costs. So another focus of this action is to harvest solar energy in MES with a high efficiency technology (nanotechnology).

The building sector has been the target of recent directives on the energy efficiency improvement through renewable energy sources (RES) integration. According to differences of geographical locations, resource abundance and energy consumption, a multi-energy system (MES) means an integration of electricity, heat and cold energies simultaneously for various load demands. However, one of the key issues is how to develop a reliable dispatch model for multi-energy systems. In addition, with the applications of nanomaterials, the devices obtain an increase in efficiency and simultaneously reductions of electricity and manufacturing costs. So another focus of this action is to harvest solar energy in MES with a high efficiency technology (nanotechnology).

renewable energy, multi-energy, nanotechnology, machine learning, artificial neural network

09.09.2020

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