chaitra-1.pptx fake news detection using machine learning
Presentation finale
1.
Thesis Defense
CHEMALY Chantal
UNIVERSITE LIBANAISE - 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 Solution Tri-generation
High efficiency
Environmental protection
Economic benefits
F= Biomass
5. Outline
Introduction - Scope of thesis
Methodology
Results
Sensibility Study
Application
Conclusion & Future Work
5
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 Steam Pressure = 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 transfer efficiency = 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 0.2 0.4 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 Turbine Power 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 type Energy sales
Electric power 87 $/MW
Heating 8.4 $/MW
Cold 24.9 $/MW
19. Results 18
VHvsLP=0
VHvsLP=1
0
1000
2000
3000
4000
5000
MP Turbine Power LP Turbine Power Hot Water Cold Total Energy
Produced
EnergySales($)
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
Price of 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 type Requirements 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 & Future Work 25
Further
Studies
Greenhouse
gas
emissions
Running
Cost
Installation
cost
CCHP system with large potential of economical efficiency and energy savings
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).