A new tool for energy systems design and operational management Optimization

Transcription

1 A new tool for energy systems design and operational management Optimization October 2014 DIME, University of Genoa, Italy alberto.traverso@unige.it 1

2 2 W-ECoMP software Modular structure Allows for building and simulating complex plant lay-outs in short time Time dependent one year analysis

3 Optimization strategies HIGH LEVEL Investigation of the best size (and management) Design of new plants LOW LEVEL Size is fixed, investigation of the best operational strategy Already existing plants W-ECoMP: a new tool for energy systems design and operational management optimization 3

4 4 Example prime movers Every module has 1, 2 or 3 physical points, that are input and output doors, exchanging information between components Each module needs some data (according to the instruction in the W-ECoMP handbook): nominal electric power, nominal efficiency, fuel cost, etc

5 5 Example micro gas turbine input data

6 6 Prime mover model in W-ECoMP Prime mover is like a box containing just off design maps and cost functions Off design maps extrapolated by real machines and implemented in W-ECoMP Dimensionless curves referred to nominal values to describe similar machines (as a % of nominal values).

7 7 Available modules in W-ECoMP 1. Gas Turbine+HRSG 2. Internal Combustion Engine (ICE) 3. Boiler aux 4. Virtual flow 5. Flow mixer 6. Flow splitter 7. Steam demand 8. Electrical grid 9. Electrical demand 10. Water demand 11. Fuel demand 12. Cooling demand 13. Gas Turbine 14. HRSG 15. Regenerator 16. STIG cycle 17. Steam Turbine 18. Absorption chiller 19. Gas cleaning 20. Biomass boiler 21. District heating 22. Renewable generator 23. Fuel cell (PEMFC) 24. Biomass gasifier 25. Gas network 26. MicroGT 27. Fuel cell Hybrid System 28. Hot storage tank 29. Mixer for chemical reactors flows mixer 31. Hydroelectric plant 32. System of electrolysers 33. H2 storage 34. Sabatier reactor 35. CH4 storage 36. Methanation reactor 37. Cold storage tank 38. Alkaline electrolyser 39. Steam generator 40. Methanol reactor 41. Fuel distribution network 42. ICE (cogenerative) 43. Air separation unit 44. Fuel inlet 45. Haber-Bosch process 46. ORC cycle 47. NaBH4 reactor 48. Electrical battery

8 8 Economic analysis in W-ECoMP Calculation of parameters which define the profitability of the plant NPV BL j CFN 1 (1 r ) j NPV TCI Net Present Value (NPV) TCI BL j 1 CFN PBP j j j 1 (1 rnpv ) CFN (1 IRR) j j TCI 0 Discounted Pay Back Period (DPBP) Internal Rate of Return (IRR)

9 9 Plant lay-out example Energy district made of 3 micro gas turbines, 1 ICE (cogenerative devices) 2 boilers, 1 renewable generator (PV panels), hot thermal storage. The plant is connected to the electrical grid (purchasing/selling electricity)

10 10 Electrical / thermal demands The year is divided in a proper number of representative days / hours!

11 11 Operational electrical strategy Co-generative prime movers and PV work to satisfy electrical demand Some electricity can be purchased by National electrical grid Purchased El energy (in peak hours)

12 12 Operational thermal strategy Storage filling (night) Storage emptying

13 13 Analysis of different plant lay-outs Power plant: combined cycle with district heating Residential application: photovoltaic system Innovative plant: gasification for bio-hydro-methane

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15 A new tool for energy systems design and operational management optimization Contact: Phone: Website: DIME, University of Genoa, Italy 15