Project Motivation & Description Accomplished Work Future Work.
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Transcript of Project Motivation & Description Accomplished Work Future Work.
GREENER SOLVENT SELECTION
AND SOLVENT RECYCLING
FOR CAPTURE
NSF Research Experience for Undergraduates
August 04, 2011
Ghinwah Hachem
OUTLINE
Project Motivation & Description
Accomplished Work
Future Work
COAL-FIRED ELECTRICITY GENERATION
Coal-fired power plants provide
44.9 % of the electricity consumed
in the USA.
847 billion tons of coal reserves
worldwide will last around 119 years
at current rates of production.
Coal generates 25 % of global
greenhouse gas emissions.
CO2 makes up 77 % of global
greenhouse gas emissions.http://www.worldcoal.org/coal , http://en.wikipedia.org/wiki/Coal_power_in_the_United_States
CO2 CAPTURE SOLUTIONS
http://www.geos.ed.ac.uk/sccs/capture/ , Integrated Framework for Solvent Selection and Solvent Recycling for CO2 Capture: August 09 Monthly Report. EPRI, Palo Alto, CA. Product ID # 069040
Carbon Capture Systems:1. Post-Combustion
2. Pre-Combustion
3. Oxy-Fuel Combustion
Separation Techniques:1. Physical Absorption
2. Chemical Absorption
3. Adsorption
4. Membrane Separation
5. Cryogenic Separation
POST – COMBUSTION CARBON CAPTURE
Physical and chemical absorption, using amine solvents, for gases with low concentrations of CO2. CO2 stripping and solvent regeneration. High energy penalty: 20-40% of plant’s power output
Folger, P. (2010). Carbon Capture: A Technology Assessment . Congressional Research Service, (p. 99)
REDUCTION OF ENERGY PENALTY BY: Using different solvents:
Monoethanolamine (MEA)Diethanolamine (DEA)Amino Methyl Propanol (AMP)Solvents with solubility parameters similar to that of CO2
Varying design conditionsHeights of columnsFeed location
Varying operating conditionsOperating temperatureOperating pressureSolvent flowrate
http://michelledagninosblog.blogspot.com/
Use a numerical optimization technique, Simulated Annealing (SA), to minimize the energy consumed by the carbon capture process.
OPTIMIZATION
Diwekar, U. Introduction to Applied Optimization 2nd Edition. Clarendon Hills: Springer.
Model: Simulation developed in Aspen Plus Decision Variables: Model Parameters Objective Function: Energy Constraints: mass and energy balance, reaction kinetics
FIRST ASSIGNMENT
Solvent = 30 weight percent MEA solution Rate-based model NOT Equilibrium Model
Perform Parametric Studies
% CO2 CAPTURED & STRIPPER REBOILER DUTY
% CO2 CAPTURED & STRIPPER REBOILER DUTY
% CO2 CAPTURED & STRIPPER REBOILER DUTY
Possible combinations:
Where:
1005 = 100 samples of each of the 5 continuous variables
Na = Maximum number of trays in absorber
Ns = Maximum number of trays in stripper Na ! = Possible absorber feed tray locations Ns ! = Possible stripper feed tray locations
Use simulated annealing, a numerical optimization method, to minimize the energy penalty.
IMPORTANCE OF SA
SECOND ASSIGNMENT
Read “Introduction to Applied Optimization” Use SA to solve an example problem in Aspen Plus
1. Understand what Simulated Annealing (SA) is
2. Become Familiar with the CAPE-OPEN SA Capability in Aspen Plus
Global optimization technique that: Mimics physical annealing: Heating and controlled cooling of a material which allows atoms to find configurations with lower internal energy compared to their initial configurations.
WHAT IS SA?
High Temperature Low Temperature
http://on.wikipedia.org/wiki/Simulated-Annealing , Diwekar, U. Introduction to Applied Optimization 2nd Edition. Clarendon Hills: Springer.
Goal: Minimize Objective Function
Multiply by (-) to maximize
Specify: Binary variables AND discrete variables
Discretize continuous variables
Equality constraints AND inequality constraints
Initial temperature
Freezing temperature
Temperature decrement
Simple rule: Tnew = α Told where 0.8≤ α ≤0.99
HOW IS SA APPLIED?
Temperature is a parameter
EXAMPLE PROBLEM
Maintain constant temperature by: Varying oxygen flow-rate between 5000
and 10000 kmol / hr Maximizing water flow-rate
(-water flow-rate = cost)
Oxy
gen
km
ol /
hr
Wa
ter
kmo
l / h
r
OXYGEN FLOW-RATE: 5800 kmol / hr
Continuous Variables Stripper reflux ratio : optimum at 0.017 LEAN-IN Pressure : optimum at 1.05 atm RICH-IN Pressure : optimum at 1.07 atm LEAN-IN Temperature: optimum at 42.28 ⁰ C Moles CO2 / Mole MEA: optimum at 0.25
Integer Variables Stripper feed stage: optimum at stage 6
SA FOR CARBON CAPTURE SYSTEM
Understood performance of MEA rate based system1. Parametric studies2. Simulated annealing
Perform parametric studies and simulated annealing on:1. DEA system
2. MEA+DEA system
3. New Solvent
SUMMARY & FUTURE WORK
http://4photos.net/en/image:111-195616-save_energy_pictures_images
ACKNOWLEDGMENTS
National Science Foundation
EEC-NSF Grant # 1062943
Dr. Urmila Diwekar
Dr. Juan Salazar
Dr. Christos Takoudis
Dr. Greg Jursich