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- 1. Thesis Defense CHEMALY Chantal UNIVERSITELIBANAISE - FACULTE DE GENIE & UNIVERSITE SAINT-JOSEPH FACULTE D’INGENIERIE– DEPARTEMENT DES ETUDES DOCTORALES STUDY OF THE POSSIBILITIES OF A TRI- GENERATION PRODUCTION: HEAT, COLD AND ELECTRICITY, FROM BIOMASS Committee Members: Dr. BECHRA Rami (Advisor) Dr. MOURTADA Adel Dr. YOUNES Rafic October 18, 2016 1
- 2. Outline Introduction -Scope of thesis Methodology Results Sensibility Study Application Conclusion & Future Work 2
- 3. Outline Introduction -Scope of thesis Methodology Results Sensibility Study Application Conclusion & Future Work 3
- 4. Introduction 4 A SolutionTri-generation High efficiency Environmental protection Economic benefits F= Biomass
- 5. Outline Introduction -Scope of thesis Methodology Results Sensibility Study Application Conclusion & Future Work 5
- 6. Methodology 6 Biomass flowrate = 57 t/h Biomass moisture content = 0.49%
- 7. Methodology 7 HHV=17.919MJ/Kg Efficiency =70% Energy produced = (biomass flow x HHV) x burner efficiency
- 8. Methodology 8 Operating Pressure= 90 bar* Superheating Temperature = 553.31°C* Total steam produced = 149 t/h * Bechara, R. (2015). Methodology for the designof optimal processes: application to sugarcane conversion processes (Doctoral dissertation, Université Claude Bernard-Lyon I).
- 9. Methodology 9 Input SteamPressure = 90 bar Output Steam Pressure = 3 bar* Output Steam temperature = 150 °C* Total Power produced = 25 MW (Steam turbine calculator) * Bechara, R. (2015). Methodology for the designof optimal processes: application to sugarcane conversion processes (Doctoral dissertation, Université Claude Bernard-Lyon I).
- 10. Methodology 10 Output Pressure= 0.7 bar Output Temperature = 150°C Reheat = 220°C Output water temperature = 50°C Efficiency of exchange = 0.8 Power produced = 8MW (for VHvsLP=1) Hot water Produced = 2517.5 t/h (for VHvsLP=0) VHvsLP between 0 & 1
- 11. Methodology 11 Input Temperature=90°C* COP=1.4* Cold produced=Heat at the input of the chiller x Cooling Efficiency VCool between 0 & 1 * Maraver, D., Sin, A., Royo, J., & Sebastián, F. (2013). Assessment of CCHP systems based on biomass combustion for small-scale applications through a review of the technology and analysis of energy efficiency parameters. Applied energy, 102, 1303-1313.
- 12. Methodology 12 Heat transferefficiency = 0.8* Cold produced with flue gas recovery = 54.966 MW VFGR between 0 & 1 * Bechara, R. (2015). Methodology for the designof optimal processes: application to sugarcane conversion processes (Doctoral dissertation, Université Claude Bernard-Lyon I).
- 13. Outline Introduction -Scope of thesis Methodology Results Sensibility Study Application Conclusion & Future Work 13
- 14. Results 14 0 10 20 30 40 50 60 0 0.20.4 0.6 0.8 1 1.2 EnergyProduced(MW) VH vs LP Total Energy Produced for Diferent Values of VHvsLP Vcool=1 Vrecovery=1 Vcool=0 Vrecovery=1 Vcool=1 VRecovery=0 Vcool=0 Vrecovery=0
- 15. Outline Introduction -Scope of thesis Methodology Results Sensibility Study Application Conclusion & Future Work 15
- 16. Results 16 0 20 40 60 80 100 120 MP TurbinePower LP Turbine Power Hot Water Cold Total Energy Produced EnergyProduced(MW) 0 20 40 60 80 100 120 MP Turbine Power LP Turbine Power Hot Water Cold Total Energy Produced EnergyProduced(MW) Case1: without cold production and without flue gas recovery (VCool=0 & VFGR=0) Case2: with cold production and without flue gas recovery (VCool=1 & VFGR=0) Case3: with cold production and with flue gas recovery (VCool=1 & VFGR=1) VHvsLP=0 VHvsLP=1
- 17. Outline Introduction -Scope of thesis Methodology Results Sensibility Study Application Conclusion & Future Work 17
- 18. Results 18 Energy typeEnergy sales Electric power 87 $/MW Heating 8.4 $/MW Cold 24.9 $/MW
- 19. Results 18 VHvsLP=0 VHvsLP=1 0 1000 2000 3000 4000 5000 MP TurbinePower LP Turbine Power Hot Water Cold Total Energy Produced EnergySales($) 0 1000 2000 3000 4000 5000 MP Turbine Power LP Turbine Power Hot Water Cold Total Energy Produced EnergySales($) Case1: without cold production and without flue gas recovery (VCool=0 & VFGR=0) Case2: with cold production and without flue gas recovery (VCool=1 & VFGR=0) Case3: with cold production and with flue gas recovery (VCool=1 & VFGR=1)
- 20. Outline Introduction -Scope of thesis Methodology Results Sensibility Study Application Conclusion & Future Work 19
- 21. Results 20 Application :Case 1 Biomass flow rate is an additional variable Energy type Requirements Energy sales Electric power 13.5 MW 87 $/MW Heating 13 MW 8.4 $/MW Cold 18 MW 24.9 $/MW
- 22. Results 21 Type of energy Energy required Energy produced Delta E Priceof energy supplemented from market* Total electric power 13.5 MW 13.5 MW 0 $0 Heating 13 MW 12.7 MW 0.308 $2.6 Cold 18 MW 18. MW 0 $0 Total energy 58 MW 44.2 MW Variables Values taken VHvsLP 0.554 VCool 1 VFGR 1 Biomass flow 26.576 t/h Application : Case 1
- 23. Results 22 Energy typeRequirements Energy sales Electricity 13.5 MW 87 $/MW Heating 13 MW 30 $/MW Cold 18 MW 23 $/MW Application : Case 2
- 24. Results 23 Application :Case 2 Energy type Energy required Energy produced Delta E Price of energy supplemen ted from market* Total electric power 13.5 MW 13.500 MW 0 $0 Heating 13 MW 13.000 MW 0 $0 Cold 18 MW 17.786 MW 0.214 $4.912 Total energy 58 MW 44.286 MW Variables Values taken VHvsLP 0.5442 VCool 1 VFGR 1 Biomass flow 26.647 t/h
- 25. Outline Introduction -Scope of thesis Methodology Results Sensibility Study Application Conclusion & Future Work 24
- 26. Conclusion & FutureWork 25 Further Studies Greenhouse gas emissions Running Cost Installation cost CCHP system with large potential of economical efficiency and energy savings
- 27.
Editor's Notes
- #9 The angles between a1 , a2 and a3 are equally 120º, while the angles between i a (i=1,2,3) and c are equally 90º. - The 4-axis system is based on the vectors a1, a2, a3 and c as shown in Figure 2.1; a3 is redundant since a3= - (a1+a2).