Deliverable 5.4 presents the tool for the optimal management and control of the smart multienergy network, S-TEG, developed in Task 5.3. This tool is characterized by a hierarchical architecture: the top layer is devoted to optimizing the strategy for the unit commitment of on-site generators when there is a multi-generator configuration, considering the interactions of different energy vectors, e.g., electrical, thermal, and compressed air; the lower layer is dedicated to the tracking of the operating point, computed by the top layer, and to regulate the generators. The tool can be configured to address the characteristics of the networks involved: in the KEAS use case, the tool is applied to the optimization of the gas turbines operating as a combined heat and power system for the production of electricity and heat, that is used both for steam generation and directly for the fiber dying. In the ROYO use case, the primary energy consumption is related to compressed air production. The tool is configured to optimize the commitment of the array of compressors and to regulate their operations. A description of the tool and the interaction mechanism with the E2COMATION platform and other tools are reported here. As an operational manual, this deliverable shows the software components and their behaviour and guides the user during the execution

D5.4 Smart-Thermal Energy Grid tool

Ravasio D.;Tuissi L.;Spinelli S.
2023

Abstract

Deliverable 5.4 presents the tool for the optimal management and control of the smart multienergy network, S-TEG, developed in Task 5.3. This tool is characterized by a hierarchical architecture: the top layer is devoted to optimizing the strategy for the unit commitment of on-site generators when there is a multi-generator configuration, considering the interactions of different energy vectors, e.g., electrical, thermal, and compressed air; the lower layer is dedicated to the tracking of the operating point, computed by the top layer, and to regulate the generators. The tool can be configured to address the characteristics of the networks involved: in the KEAS use case, the tool is applied to the optimization of the gas turbines operating as a combined heat and power system for the production of electricity and heat, that is used both for steam generation and directly for the fiber dying. In the ROYO use case, the primary energy consumption is related to compressed air production. The tool is configured to optimize the commitment of the array of compressors and to regulate their operations. A description of the tool and the interaction mechanism with the E2COMATION platform and other tools are reported here. As an operational manual, this deliverable shows the software components and their behaviour and guides the user during the execution
2023
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA)
Rapporto intermedio di progetto
Optimal management and control
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/544863
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