Hybrid energy systems, combining two or more energy sources into a single system, are a promising way of increasing the efficiency of energy production and demand but the complexity of their management increases when several types of power production are combined on the same site. Several energy demands as electricity, heating and cooling require several generators integrating their production in order to fulfill user requirements. The energy operator of an hybrid system requires then a tool able to provide efficient management strategies to operate a complex poly-generation plant. The tool must find the best combination of generators and operating points to enhance energy optimization, harvest the generation from renewable sources and increase energy saving by minimizing energy wastes due low efficiency working points. When energy storage is present or time dependent technical constraints are present the tool should be able to optimize the management strategy on a time horizons minimizing the operating cost of the system. In this work the tool XEMS13 is presented as hybrid system optimizer for complex poly-generation power plants. It is tested on three different study cases with different power plant configurations and time horizons such as day, month and year.

XEMS13: An hybrid-Energy generation Management System / Perez-Mora, Nicolas; Lazzeroni, Paolo; Repetto, Maurizio. - (2016), pp. 20-25. (Intervento presentato al convegno 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 tenutosi a aus nel 2016) [10.1109/smartgridcomm.2016.7778732].

XEMS13: An hybrid-Energy generation Management System

Lazzeroni, Paolo;Repetto, Maurizio
2016

Abstract

Hybrid energy systems, combining two or more energy sources into a single system, are a promising way of increasing the efficiency of energy production and demand but the complexity of their management increases when several types of power production are combined on the same site. Several energy demands as electricity, heating and cooling require several generators integrating their production in order to fulfill user requirements. The energy operator of an hybrid system requires then a tool able to provide efficient management strategies to operate a complex poly-generation plant. The tool must find the best combination of generators and operating points to enhance energy optimization, harvest the generation from renewable sources and increase energy saving by minimizing energy wastes due low efficiency working points. When energy storage is present or time dependent technical constraints are present the tool should be able to optimize the management strategy on a time horizons minimizing the operating cost of the system. In this work the tool XEMS13 is presented as hybrid system optimizer for complex poly-generation power plants. It is tested on three different study cases with different power plant configurations and time horizons such as day, month and year.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3003887