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Thermoeconomic optimization of an energy hub. Alessandra Cuneo Mario Luigi Ferrari. Alberto Traverso Aristide F. Massardo. Thermochemical Power Group (TPG) - DIME – University of Genoa, Italy. Speaker: Alessandra Cuneo. Nice, 1 – 3 October 2014. Aims of the study.
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Thermoeconomic optimization of an energy hub Alessandra Cuneo Mario Luigi Ferrari Alberto Traverso Aristide F. Massardo Thermochemical Power Group (TPG) -DIME – University of Genoa, Italy Speaker: Alessandra Cuneo Nice, 1 – 3 October 2014
Aims of the study • Illustrate the operation of a real energy hub • Optimize the management strategy of the different prime movers to satisfy the energy demand • Two different layouts, with and without a conventional stratified thermal storage
Laboratory SAVONA
ECoMP software • Modular structure (48 modules) • Each component described by • subroutines containing: • - off design performance curves • - functions for capital costs • - variable costs • - mass and energy flows
ECoMP optimization strategy Fuel cost The cost functions to minimize are: Electricity cost “Virtual” cost Percentage loads of the prime movers (mGT, ICE) have been chosen as decision variables mGT ICE
Thermal storage model PRIME MOVER • Virtual costs are associated to emptying and filling operations • Virtual terms promote filling operation and prime movers nominal conditions • Penalty costs associated to overload and total emptying conditions USER FUEL NETWORK CF CU Cin Cout Filling up cost Emptying out cost STORAGE
Thermal Demand Comparison mGT works more Storage help the management in the peak
Electrical Demand Comparison Decrease electricity bought from the grid
Energetic results mGT works more at design point only. Efficiency improvement and increase of machines lifetime
Conclusions • The Energy Hub was analysed via a thermo-economic approach • The impact of thermal storage was investigated, quantifying the impact on the system behaviour, both in energy and economic terms • Thermal storage allows to decrease the fuel consumption of 6% and to increase profits of 10%. However, such results are highly dependent on the energy demands. • In this work we use a simple marked-based approach, if we use a MPC to evaluate the rule of the thermal storage we could have an increase profits of 44%. • On going work • Implementation and testing of advanced predictive control algorithms • Comparison of different storage technologies (electrical, hot thermal, cold thermal)
WECoMP Demo version available WECoMP is a software developed by TPG at University of Genoa for time-dependent thermo-economic analysis of energy systems • 48 Modules available: • Cogenerative • Conventional • Renewable generators • Storage • Two optimization levels: • Management strategy optimization • Size optimization For more information: Site: www.tpg.unige.it/WECoMP.php Email: alberto.traverso@unige.it
Thermoeconomic optimization of an energy hub Alessandra Cuneo Mario Luigi Ferrari Alberto Traverso Aristide F. Massardo Thermochemical Power Group (TPG) -DIME – University of Genoa, Italy Speaker: Alessandra Cuneo Nice, 1 – 3 October 2014