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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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slide1

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

slide2

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
slide4

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
slide5

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

slide6

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

slide8

Thermal Demand Comparison

mGT works more

Storage help the management in the peak

slide9

Electrical Demand Comparison

Decrease electricity bought from the grid

slide10

Energetic results

mGT works more at

design point only.

Efficiency improvement

and increase of

machines lifetime

slide12

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)
slide13

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: [email protected]

slide14

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

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