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Chemical Engineering
 in the 21st Century



  12th Mediterranean Congress of Chemical Engineering
  November 17, 2011

  Maria K. Burka
  National Science Foundation
  mburka@nsf.gov
  703-292-7030
Evolution of Chemical Engineering
                Discipline
Will focus here on cutting edge research done at universities, not
practical plant operation
Historically looked at unit operations, scale-up of processes to produce
commodity chemicals, etc. – this is “mesascale”
Today discipline encompasses much larger scope and runs the gamut
from work based on molecular (nano-) phenomena to megascale (whole
enterprises)
Discipline has embraced biological engineering – chemical engineering
skills are ideal to solve problems in this arena
     Biochemical engineering
     Biotechnology
     Biomedical engineering
Chemical engineering education and training is ideal to deal with urgent,
present-day problems
Need to work in interdisciplinary teams
Profession is getting much more diverse – more women and other
underrepresented groups constitute workforce
Humanity’s Top Ten Problems
            for Next 50 Years
1.    Energy*
2.    Water*
3.    Food*
4.    Environment*
5.    Poverty
6.    Terrorism & War
7.    Disease*
8.    Education*                 2003      6.3 Billion People
                                 2050     9-10 Billion People
9.    Democracy
10.   Population   (Source:   Richard Smalley, Nobel Laureate)


                                                      3
NAE GRAND CHALLENGES
Clean Energy



                                                r at ion
                                       int eg
                                show
               g–
          fixin
  eeds
N
         Burka, November 2011
                                                           5
Sustainable Energy
Biofuels and bioenergy
   Biomass as an energy source
       Chemical conversion
       Biochemical conversion
   Treatment of cellulosic materials, switchgrass, etc.
   Algae
Fuel cells: convert chemical energy into electricity. High efficiency, low
environmental impact, siting flexibility, quiet and vibration-free operation,
continuous operation
Batteries – energy storage systems
Wind and wave power
Solar, photovoltaic
Outline


Nano-scale – molecular design
Mega-scale – manufacturing
Energy
Water
Biological engineering
Relevant AIChE activities
Chemical Reaction Engineering
Environmental/energy issues – green chemistry
    Developing a catalytic reactor to remove toxic components of landfill gas (LFG) so that LFG can
    be used as an alternate source of energy
    New methods to manufacture jet fuel
    Cellulose fast pyrolysis
    Study of nitrification for various treatment uses
Microreactors
Energy -- Electro- and photo-chemical systems
    Carbon nanotube templated battery electrodes
    Cathodes for intermediate-temperature solid oxide fuel cells
Reactors used in microelectronics manufacturing: CVD, ALD, plasma reactors
    Metal oxide nanosheets fabricated by atomic layer deposition
Bioreactors – fermentation, biofuels, etc.
Non-traditional reactor systems: membrane reactors, reactions in SCF
    Microwave synthesis of materials
Nanotechnology
    Asymmetric nanopores for studies of hindered transport
    Growth of ultra thin metal alloy films
Membrane Contactor Reactors for
            Environmental Applications
                  Theodore T. Tsotsis and Fokion Egolfopoulos, USC


•Landfill gas as a potential renewable fuel – contains 50% CH4
•Present time, large fraction is flared. Rest utilized for electric power
generation and for medium BTU gas-type applications.
•Has corrosive contaminants.
•Develop a novel, membrane reactor (MR) based, integrated landfill gas
treatment system – with an oxidation nanocatalyst.
•Want to understand the catalytic combustion.
•Develop a better fundamental understanding of the key technical challenges
and generate preliminary “proof of concept” experimental data.
•Working with industrial partners: Media & Process Technology, Inc.
and GC Environmental, Inc.
Low-Temperature High-Efficiency Knudsen Flow Reactor

                             Actual pore length, ~5 microns
LFG NMOC
                                                                         0.1 micron          The stainless steel porous
                                                                         pore diameter       support can be heated directly
LFG                                                                                          via resistive heating as shown
molecules                                                                                    here, if the light-off temperature
                   Inlet                                            Outlet
                                                                                             is > room temperature
Since the mean free path of gas molecules under atmospheric condition is ~0.1
micron, the porous Al2O3 thin film with pore size of 0.1 micron will provide a
Knudsen flow regime, where the gas molecules will collide with the catalyst wall             Stainless steel support with
more frequently than collide with each other.                                                resistive heating option
     Conceptual diagram for a Knudsen flow reactor

                                                     Inlet
                                                                                                       Al2O3 thin film with
                      +                                                                                0.l-02 μm pore size
                                                                                                       and 5 micron
Stainless steel substrate                                                                              thickness, which is
as support and a heater,                                                                               coated with highly
~2 mm thickness and 50                                                                                 dispersed catalyst.
micron pore opening

                                                                                         -
                                                    Outlet
Polymer Electronic Materials for Alternative Energies
              Kenneth K. S. Lau – Drexel University

    Polymer-based solar cells      permit more widespread solar
    harvesting.
    Silicon photovoltaic technology is expensive. Organic,
    polymer-based materials      lower cost
    Problems: in bulk heterojunction devices inefficiencies result
    from the mismatch of high band gaps of conjugated
    polymers with the solar spectrum, and generally poor
    charge generation and charge transport due to structural
    and morphological defects.
    Aim here: use initiated chemical vapor deposition (iCVD)
    technologies to design, synthesize and integrate polymer
    electronic materials as viable photovoltaic devices.
    iCVD – single step process, deposit a solid polymer thin film
    on a substrate by thermally initiating the polymerization of a
    monomer vapor.
Engineering and Integration of Polymer Electronic Materials for
                     Alternative Energies
Kenneth KS Lau                  Dept of Chemical and Biological Engineering, Drexel University, Philadelphia, PA 19104

 Overall Objective         Create novel polymer electronic materials through a highly tunable
 synthesis process – initiated chemical vapor deposition – to enhance photovoltaic operation


                  heated                       iCVD Reaction and Process Technology
                  filament
                                               • one step polymerization and polymer thin film forming
                             initiator &       • chemical design via liquid phase polymerization mechanisms
                             monomer
                             vapor flow        • physical control via liquid free CVD environment


                                                                                                Bulk
                                   cooled                                                       Heterojunction
                                   substrate                                                    Cell

                                    iCVD Reactor System
                                 and Reaction Mechanism




                                                                     Dye
                                                                     Sensitized
                                                                     Solar
                                                                     Cell
Hypothesis        Tight interfacial contact of polymer electrolyte with nanostructured photoanode
   leads to more effective charge transport in dye sensitized solar cells -- Lau

iCVD chemistry produces
polymer electrolytes with
tunable composition and ionic
conductivity




RK Bose & KKS Lau.
Chemical Vapor Deposition 15, 150-155 (2009).


iCVD physical processing
enables pore filling of
polymer electrolyte in
mesoporous anode



S Nejati & KKS Lau.
Nano Letters 11, 419-423 (2011).
S Nejati & KKS Lau.
Thin Solid Films 519, 4551-4554 (2011).


Tight integration of iCVD
polymer electrolyte in anode
leads to enhanced
solar efficiency
Flame-based Synthesis of Metal Nanoparticles
                 Sharmach, Papvasilliou and Swihart


Metal nanoparticles, e.g. silver and copper, may be
used in inks and pastes for displays, photovoltaic
devices, energy storage, electronics applications, in
catalysis, thermally conductive fillers, and anti-microbial
additives (e.g., wound dressings).
Use flame-based process
   Lower cost than a plasma or laser based process
Use thermal nozzle reactor: separates combustion from
particle formation by passing hot combustion products
through a converging-diverging nozzle -> get
extraordinarily fast mixing
   Produce nanoparticles in gas phase at high throughput
   Form alloy and core-shell particles and novel carbon
   nanomaterials, structures not obtainable by other methods
Flame-based Synthesis of Metal Nanoparticles
          at Millisecond Residence Times
          William Scharmacha,b, Vasilis Papavasilliou,a* Mark T. Swihartb*
        aPraxair Inc., bUniversity at Buffalo (SUNY),*Principal Investigators

                                                                           Rapid
•   Economical, environmentally-friendly production of <                 Quenching
    50 nm metal nanoparticles
•   Applications in printed electronics, coatings, catalysts,
    membranes, etc.                                                      Nanoparticle
                                                                          Formation

    Silver                       Carbon-coated                             Thermal
                                 Copper                                    Nozzle

                                                                           Water-
                                                                           based
                                                                          Precursor

                                                                        H2/O2 Flame
Flame-based Synthesis of Metal Nanoparticles at
             Millisecond Residence Times
            William Scharmacha,b, Vasilis Papavasilliou,a* Mark T. Swihartb*
           aPraxair Inc., bUniversity at Buffalo (SUNY),*Principal Investigators


•    Economic and environmentally friendly 
     synthesis of < 50 nm metal nanoparticles
•    Ideal for producing metal nanoparticles for 
     use in electronics, coatings, catalysts, 
     membranes, etc.
•    Thermal nozzle jet‐based technology   
     provides optimal heating and mixing 
     conditions for metal nanoparticle synthesis                                     Nanoparticle 
                                                                                      Formation
•    Compact, suitable for high volume 
     production, simple, and scalable
•    Flexibility to produce a variety of 
     nanoparticles including bimetallic  and                                           Water‐based 
                                                                                        Precursor
     multicomponent particles
                                                                                   H2/O2 Flame
Chemical Process Design

Development of Fundamental Design Methodology
  Developing global optimization methodologies

Application Areas
  Parallel nonlinear programming for optimization in rapid
  therapeutics manufacturing
  Integrated planning and scheduling – industrial
  applications
  Optimization strategies for designing biofuel processes
  Directed assembly of nanoscale process systems




                                                             17
Innovative Methodologies for Integrated
             Planning and Scheduling
                 Marianthi Ierapetritou, Rutgers University

Modern chemical complexes may involve either large integrated complex
or multi-site production facilities serving global markets
Coupling of planning and scheduling models across different temporal and
spatial scales    improve process operations
Computational intensity, model uncertainty and complexity of
manufacturing processes are roadblocks – have intractable mixed-integer
linear model (MILP) takes too long to solve
Solution method based on decomposition principles
Use
   Agent-Based (AB) Approach
   Modified Benders decomposition
   Augmented Lagrangian relaxation
   Rolling horizon method: based on the fact that planning decisions for the far
   future may be inaccurate due to the unpredictability of future uncertainties
   Hybrid Optimization Simulation approach
Integration of Planning and Scheduling
                                       Marianthi Ierapetritou, Rutgers University

                                                           Planning and Scheduling Integration
                                                                                                 Production Profile

                                                     Production Planning




Enterprise–Wide Optimization (EWO):
                                                           Scheduling
                                                                                                 Detailed scheduling
Robust response to global demand to maintain
business competiveness and growth                        Improve consistency and operability of the planning decisions

       Full Scale Integrated Model                           Solution Approaches: Mathematical programming




  Given the fixed demand forecast and lead
  time, the model optimizes the production,
  inventory, transportation, and backorder     • Block angular structure of the matrix is exploited
  costs.                                       • Coupling constraints for Inventory and production variables are introduced
  The model for multisite network is large     • Constraints are relaxed using Augmented Lagrangian relaxation
  complex model and efficient solution         • The problem can be decomposed into the planning and scheduling problem
  approaches are needed
Enterprise-Wide Optimization
                                    Marianthi Ierapetritou, Rutgers University

      Simulation of a Supply Chain (SC) Network                  Multi agent-based representation
Agent-Based (AB) Approach:
Methodology to track the actions of multiple "agents"
defined to be objects with some type of behavior as:
     Autonomy
     Social ability
     Reactivity
     Pro-activeness                                         agents                             SC entities
  Hybrid Optimization Simulation approach
                                                           Sustainability considerations are
                               Output:
                            decision rules                 imposed by increasing awareness of:
                                                              - governmental regulations
                                                                                                 Sustainable
                                                              - environmental policies               SC

                                                                                           Global SC    Lean SC

                                                 Multi-objective optimization
                           Input:
                        (aggregated results)               Economic and environmental criteria
                                                                    are considered in
                                                              the decision-making process.
A brief history of biotechnology
•   Man has been manipulating living things to solve problems and improve his way of
    life for millennia.
•   Early agriculture concentrated on producing food. Plants and animals were
    selectively bred and microorganisms were used to make food items such as
    beverages, cheese and bread.
•   The late eighteenth century and the beginning of the nineteenth century saw the
    advent of vaccinations.
•   At the end of the nineteenth century microorganisms were discovered, Mendel's work
    on genetics was accomplished, and institutes for investigating fermentation and other
    microbial processes were established by Koch, Pasteur, and Lister.
•   Biotechnology at the beginning of the twentieth century began to bring industry and
    agriculture together. During World War I, fermentation processes were developed
    that produced acetone from starch and paint solvents The advent of World War II
    brought the manufacture of penicillin. The biotechnological focus moved to
    pharmaceuticals. The "cold war" years were dominated by work with microorganisms
    in preparation for biological warfare as well as antibiotics and fermentation
    processes.
•   By the mid 70’s, genetic engineering/ molecular biology became a powerful tool to
    start the process of designing cells for desired functions, that brought us fields of
    metabolic engineering in the mid 90’s and synthetic biology in the past decade.
•   In parallel, we developed analogous tools to manipulate mammalian cells, and made
    advances both in developmental biology and material science, that has enabled the
    field of stem cell engineering.
•   By the mid 90’s tremendous, new analytical tools in biology and better computational
    tools has led to advances in systems biology.
                                                                                            21
Genetic engineering/ molecular biology,
the first wave of modern biotechnology




 These tools enabled us to use bacteria or mammalian
     cells to make therapeutic proteins like insulin
By the mid 90’s, we discovered if we wanted cells to 
 make complex materials (other than a single protein), we 
 needed to redesign metabolic networks. 
                                      Flux Quantification
                         ANALYSIS
                                      Analysis of Flux
                                      Control




                          Metabolic
MODIFICATION
recombinant               Networks
DNA technology


                                         Cell improvement
The Cell as a factory


    We treat the cell as a chemical factory, with an input
    and an output.



                                    D

S   A                                         E
               B
                              C

                                                         P
                                            P1
Analysis and Synthesis




Genome Sequence
The big success of metabolic engineering 
was the production of the antimalarial drug, 
Artemisinin, done by Jay Keasling.  But what 
we discovered in the process was that we 
needed better tools to design  function into 
cells ‐‐‐ synthetic biology.
Multi-input Multi-output Cellular Control
                       Christopher Voigt UCSF

Applying process control theory in biological systems
Sensors on cell surface recognize specific signals
(inputs), this is translated into a transcriptional or
behavioral response (outputs)
Inputs and outputs are connected by a network of
interacting proteins, RNA or DNA
   Call these “genetic circuits” – process signals and function like
   logic gates, switches and oscillators
Work here:
   How genetic circuits integrate information from multiple sensors
   How integrated circuits choose among multiple possible
   responses
Use Salmonella regulatory network as model system
Multi-input Multi-output Cellular Control
                                         Christopher Voigt UCSF
    (Using logic from electrical engineering circuit design to program cells)
  Individual Circuit Design                                       Multi‐Circuit Genetic Programs
                                              Applications




                                        Thermodynamics



                                         Kinetics, Transport
                                         Computer Aided Design


  More Complex Hosts




Edge detection is just one example of the type of logic circuits that can be designed and then implemented in bacteria 
using synthetic biology tools developed in the Voigt lab.
Using Systems Biology & Experiment
        in Cancer Signaling
         David J. Klinke, West Virginia University

Monoclonal antibodies – cancer drugs that target
molecules unique to cancer cells – promote the death
of cancer cells
Want to understand how cancer cells resist     design
effective treatments
Looking into mechanisms of resistance
Posit that cancer cells secrete biochemical cues,
signal cells and inhibit drug effectiveness
  Identify antagonistic cross-talk between malignant cells and
  cells of the immune system
Experimental and modeling effort
Cross-disciplinary: biochemical engineering, cancer
biology, pharmacology, etc.
Using Systems Biology & Experiment in Cancer Signaling
                                             David Klinke West Virginia University
              Klinke Mol Cancer 2010




                                                                      Prior information


Tumor                Immune
Cell                    Cell
                                                                                                                                                                                                                                                                               3       4                                         3       4
                                                                                                                                                                                                                                                               -100 0 100   10        10                        -100 0 100     10      10

                                                                                                                                                                                                                                                 Starve 12hr          Starve 14 hr              Starve 24 hr            Starve 36 hr
                                                                                                                                                                                                                                             4
                                                                                                                                                                                                                                          10

                                                                                                                                                                                                                                             3
                                                                                                                                                                                                                                          10


                                                                                                                                                                                                                                          100




                                                                                                                                                                                                                             MFI pSTAT4
                                                                                                                                                                                                                                            0
                                                                                                                                                                                                                                          -100
                                                                                                                                                                                                                                                                 Starve 12hr + IL12 2hr    Starve 12hr + IL12 12hr Starve 12hr + IL12 24hr
                                                                                                                                                                                                                                                                                                                                               4
                                                                                                                                                                                                                                                                                                                                             10

                                                                                                                                                                                                                                                                                                                                               3
                                                                                                                                                                                                                                                                                                                                             10


                                                                                                                                                                                                                                                                                                                                             100




                                                siRNA  nAb
                                                                                                                                                                                                                                                                                                                                             0
                                                                                                                                                                                                                                                                                                                                             -100
                                                                                                                                                                                                                                                                                       -100 0 100      10
                                                                                                                                                                                                                                                                                                         3      4
                                                                                                                                                                                                                                                                                                               10



                        In vitro                                                                                                                                                                              Cell
                                                                                                                                                                                                                                                                                   MFI IL-12Rβ2




                                               Experimental             Model‐based                                                                                                                           Models                      Flow Cytometry
                                                Validation               Inference                                                                                                                             Klinke et al. Biophys J 2008
                                                                                                                                                                                                               Klinke et al. Cytometry A 2009

                     Alpha enolase spectra




                                                                                                                     4



2D‐GE
                                                                                                              x 10




                                                                                                                                  Normalized pSTAT4
                                                                                       Normalized IL12R
                                                                                                          5                                             1                                       160




                                                                                                                                                                                 IL12p70 (pM)
                                                                                                          4                                           0.75                                      120
                                                                                                          3
                                                                                                                                                       0.5                                          80
               M/Z                                                                                        2
                                                                                                          1                                           0.25                                          40
                                                                                                          0                                             0                                            0
                                                                                                              0       20     40                              0       20     40                           0       20     40
                                                                                                                  Time (hours)                                   Time (hours)                                Time (hours)



          MALDI                                              ODE                                   1.5                                                 80                                           20




                                                                               TNFα (pM)
                                                                                                                                                       60                                           15




                                                                                                                                                                                        IL10 (pM)
                                                                                                                                           IFNγ (pM)
                                                                                                          1
                                                                                                                                                       40                                           10
                                                                                                   0.5


          TOF MS                                             Models
                                                                                                                                                       20                                            5


                                                                      AMCMC                               0
                                                                                                              0       20     40
                                                                                                                  Time (hours)
                                                                                                                                                        0
                                                                                                                                                             0       20     40
                                                                                                                                                                 Time (hours)
                                                                                                                                                                                                     0
                                                                                                                                                                                                         0       20     40
                                                                                                                                                                                                             Time (hours)


Kulkarni et al. 
                                 Pathway Enrichment
BMC Cancer 2010                                        Klinke BMC Bioinform 2009 Pr(Predictions | Model, Data)
                                                       Finley et al. Immunol Cell Bio 2010
Engineering of a Microbial Platform for the Conversion of
   Light Energy into Chemical and Electrical Energy
      Claudia Schmidt-Dannert - University of Minnesota

    Building a bacterial solar cell
    Use light-energy to drive desirable energy demanding
    metabolic processes - > electricity generation in
    engineered cells
    Reconstruct phototrophy in a non-photosynthetic
    microorganism
    Engineer Rhodobacter sphaeroides to convert light-
    energy into electricity
    Have converted light energy by recombinant
    Shewanella’s extracellular electron transfer pathway
    into Rhodobacter
Engineering of a Microbial Platform for the Conversion
          of Light Energy into Chemical and Electrical Energy
          Claudia Schmidt-Dannert - University of Minnesota

           Non-photosynthetic microbes:
            easier to engineer
            well-understood metabolism
            useful metabolic properties

                                  e3
                              G en
                                                          n
                     G en
                         e2
                                                      h to
                 1                                 Lig
              ne
            Ge



                                                              + proteorhodopsin
Utilization of light energy to:
                                                              - proteorhodopsin
  drive metabolically expensive
reactions
  generate electricity
Goal: Light-Energy Conversion in         Example: Light-dependent current
Engineered Non-Photosynthetic Bacteria   increase in electrochemical chambers
                                         containing engineered Shewanella
                                         oneidensis expressing proteorhodopsin    32
Water Sustainability
Much of the World’s population is rapidly running
out of water, both potable and non-potable
We must find “new” sources of water or ways to
conserve or reuse what we now have
In a sense, all of our water is reused
The “purity” of our water supplies should match to
its intended use
Energy is a major user of water and needs to be
controlled
  As readily available water is depleted, the alternatives may
  have much larger energy and resource requirements
  Life Cycle Assessment (LCA) is essential



                                                     33
World Population from 1800 to 2100
       (Based on UN 2004 projections)




                                        34
Non-Traditional Water Sources
Besides the traditional water sources (rivers, lakes,
groundwater), municipalities are considering use of:
 Agricultural return flows
 Concentrate and other wastewater streams
 Stormwater management and rainwater harvesting
 Co-produced water resulting from energy and
mining operations
 Desalination of seawater and brackish waters
 Wastewater reclamation and reuse
 Source separation
 Water conservation (behavioral changes, low-flow
devices, drip irrigation, etc.)


                                             35
Factors Driving Water Reuse
Population growth
Increased urbanization
Improvement in living conditions in developing
countries
Water scarcity
Increased municipal, industrial and agricultural
demand
Water rights arguments
Dependence on a single source of supply
TMDLs / nutrient load caps
Drought
Climate change


                                           36
Singapore’s NEWater
NEWater is treated wastewater
that is purified using
microfiltration/ultrafiltration and
reverse osmosis technologies
and ultraviolet disinfection, in
addition to conventional water
treatment processes
Fifth reclamation plant recently
put on-line
   Now supplying 30% of total water
   demand
Current total capacity = 20
million MGD (75,700 m3/day)
   Most is used in industry


                                      37
Water Reuse Benefits
Dependable source of supply
Reliable, consistent quality
Locally controlled; right to use
Environmentally friendly
Low capital costs relative to other sources of
supply                           Energy Demand by Water Source
Augments existing supplies                 (kWh/AF)




   (Source: WateReuse Association)




                                                     38
Pharmaceutically Active Compounds




(Source: WateReuse Association)



                                  39
Water Reuse Issues

Public perception / acceptance
Perceived chemical risks
Lack of political support
Sometimes cheaper, short-term alternatives are
available
Funding
Need to replace existing urban infrastructure
Institutional barriers between water and
wastewater utilities
Climate change
Energy / water nexus


                                         40
Water Treatment Requires Energy
Treatment of future water supplies will be energy intensive

•Readily accessible
water supplies have
been harvested

•New tecnologies are
required to reduce
energy requirements to
access non-traditional
sources (e.g., impaired
water, brackish water,
sea water)
                                  Source: EPRI



                                                    41
Dynamic Structure and Function of Biofilms
       for Wastewater Treatment
                Robert Nerenberg – Univ. of Notre Dame
Developing a Hybrid Membrane-Biofilm Process (HMBP) where
cassettes of air-filled membrane-supported biofilms are intregrated
into an activated sludge tank
These are counter-diffusional biofilms, where the electron donor and
acceptor come from opposite sides.
Eliminates bubbled aeration, potentially saving over 50% of the
electrical energy requirements of the treatment plant, while
achieving nitrogen
removal and minimizing
N2O emissions




                                                                42
Desalination Energy Issues
     Energy Use and Efficiency
     • Energy use is ~40-60% of desal water cost
                                                        Thermal processes:
 Membrane processes:                                    Distillation, …
 Reverse osmosis, … ra
                      ne
                 mb
              me




                                                                               Drinking
                           pump                                                water
Drinking                                                         concentrate
water       concentrate
                                                          heat


    Pretreatment                             Concentrate Management
    • Robust, cost-effective and low         • Disposal is major environmental and
      chemical used needed                     economic problem for inland desal
                                               and emerging coastal desal issue


                                                                      43
Investigating a New Energy-Efficient Hybrid Ion
 Exchange-Nanofiltration Desalination Process
                    Arup Sengupta – Lehigh Univ.

 Typical seawater reverse osmosis (RO) plants require 1.5-2.5 kWh
 of electricity to produce 1 m3 of treated water
    Thermal distillation requires 5-10 times more
 This project will develop a new hybrid ion exchange-nanofiltration
 process that will reduce energy consumption by 2-3 times
 RO membranes will be totally
 replaced by nanofiltration
 membranes
 The volume of brine to be
 disposed will be greatly reduced




                                                           44
AIChE Relevant to Chemical
       Engineering Priorities
Sustainability – Institute for
Sustainability
Energy – Center for Energy
Initiatives
Water – Water Advisory Board
Biological Engineering – Society for
Biological Engineering

    Burka, November, 2011              45
ITG’s
   Industrial Technology
          Groups
                 Formed by AIChE to address:
need for experts to collaborate to overcome common obstacles,
         global challenges or technology breakthroughs

    First ITG—Center for Chemical Process Safety CCPS
                (Response to Bophal 1990’s)
             Most Recent-- AIChE Water Initiative
ITG’s: Addressing Critical
     Issues of Today and Tomorrow




Center for Energy Initiatives
          Institute for Sustainability 
                         Water Advisory Board 
                             Society for Biological Engineering
IFS and CEI
IfS --2004
  Chair: Deborah Grubbe
  Launches products to meet needs of Sustainability Professionals
  Center for Sustainable Technology Practices (CSTP)
  AIChE Sustainability Index
  Sustainable Engineering Forum
  Join: contact ifs@aiche.org

CEI -- 2010
  Chair: Dale Keairns
  Provides an overarching coordination of AIChE energy activities
  Join an AIChE Division..you are engaged. Contact energy@aiche.org
Highlights Include

Program                                                  Relevancy and Plans
AIChE Sustainability Index ™                             3 additional companies anticipated for 2012
(Benchmarking of CPI Sustainability Performance)

ICOSSE Label for ACHEMA 2012                             Partnership with DEChEMA
(Certification of Products, Processes being exhibited)   May launch for additional exhibits

EPA People, Prosperity and the Planet 2011-Partner       Promotion of Student Sustainability Projects
                                                         Selected to be Co-Sponsor for 2010 and 2011

Sustainable Packaging Symposium 2011 and 2012            245 Attendees in 2011. Media Partner- Greener
                                                         Package . Repeat in 2012: AIChE Spring Meeting

Certification of Professionals                           Certification Advisory Board Reviewing Program
                                                         October 31, 2011 in anticipation of 2012 launch.

EPA/NSF/AIChE Sustainable Supply Chain Workshop          September 2011. Launch of Industry/Academia/Gov
                                                         consortium to Continue Work

DOD: Sustainable Material and Chemicals Consortium       DOD funded to Launch this industry/government
                                                         consortium.

Sustainable Packing for Cosmetics Roundtable (SPCR)      Organized and Launched September 2011 with
                                                         Chemical Engineers from non traditional CPI
                                                         companies (Estee Lauder, Chanel, Victoria Secrets)
Highlights Include
Program                           Relevancy and Plans

Founder Carbon Management         UEF grants ‘09, ‘10, ’11
                                  Lead Trans-disciplinary Team
                                  AIChE, ASME, AIME, IEEE, ASCE, SME,
                                  TMS, SPE


Carbon Management Technology      February 9-12, 2012 Orlando Florida
Conference



Peer Reviews                      Gov: DOE NETL July 2011
                                  Gov: Planned expansion to 2-3/year by
                                  2012
                                  Industry Interest as well for Service on
                                  LCA
Questions

 Maria K. Burka
mburka@nsf.gov

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Maria Burka - Chemical Engineering in the 21st Century

  • 1. Chemical Engineering in the 21st Century 12th Mediterranean Congress of Chemical Engineering November 17, 2011 Maria K. Burka National Science Foundation mburka@nsf.gov 703-292-7030
  • 2. Evolution of Chemical Engineering Discipline Will focus here on cutting edge research done at universities, not practical plant operation Historically looked at unit operations, scale-up of processes to produce commodity chemicals, etc. – this is “mesascale” Today discipline encompasses much larger scope and runs the gamut from work based on molecular (nano-) phenomena to megascale (whole enterprises) Discipline has embraced biological engineering – chemical engineering skills are ideal to solve problems in this arena Biochemical engineering Biotechnology Biomedical engineering Chemical engineering education and training is ideal to deal with urgent, present-day problems Need to work in interdisciplinary teams Profession is getting much more diverse – more women and other underrepresented groups constitute workforce
  • 3. Humanity’s Top Ten Problems for Next 50 Years 1. Energy* 2. Water* 3. Food* 4. Environment* 5. Poverty 6. Terrorism & War 7. Disease* 8. Education* 2003 6.3 Billion People 2050 9-10 Billion People 9. Democracy 10. Population (Source: Richard Smalley, Nobel Laureate) 3
  • 5. Clean Energy r at ion int eg show g– fixin eeds N Burka, November 2011 5
  • 6. Sustainable Energy Biofuels and bioenergy Biomass as an energy source Chemical conversion Biochemical conversion Treatment of cellulosic materials, switchgrass, etc. Algae Fuel cells: convert chemical energy into electricity. High efficiency, low environmental impact, siting flexibility, quiet and vibration-free operation, continuous operation Batteries – energy storage systems Wind and wave power Solar, photovoltaic
  • 7. Outline Nano-scale – molecular design Mega-scale – manufacturing Energy Water Biological engineering Relevant AIChE activities
  • 8. Chemical Reaction Engineering Environmental/energy issues – green chemistry Developing a catalytic reactor to remove toxic components of landfill gas (LFG) so that LFG can be used as an alternate source of energy New methods to manufacture jet fuel Cellulose fast pyrolysis Study of nitrification for various treatment uses Microreactors Energy -- Electro- and photo-chemical systems Carbon nanotube templated battery electrodes Cathodes for intermediate-temperature solid oxide fuel cells Reactors used in microelectronics manufacturing: CVD, ALD, plasma reactors Metal oxide nanosheets fabricated by atomic layer deposition Bioreactors – fermentation, biofuels, etc. Non-traditional reactor systems: membrane reactors, reactions in SCF Microwave synthesis of materials Nanotechnology Asymmetric nanopores for studies of hindered transport Growth of ultra thin metal alloy films
  • 9. Membrane Contactor Reactors for Environmental Applications Theodore T. Tsotsis and Fokion Egolfopoulos, USC •Landfill gas as a potential renewable fuel – contains 50% CH4 •Present time, large fraction is flared. Rest utilized for electric power generation and for medium BTU gas-type applications. •Has corrosive contaminants. •Develop a novel, membrane reactor (MR) based, integrated landfill gas treatment system – with an oxidation nanocatalyst. •Want to understand the catalytic combustion. •Develop a better fundamental understanding of the key technical challenges and generate preliminary “proof of concept” experimental data. •Working with industrial partners: Media & Process Technology, Inc. and GC Environmental, Inc.
  • 10. Low-Temperature High-Efficiency Knudsen Flow Reactor Actual pore length, ~5 microns LFG NMOC 0.1 micron The stainless steel porous pore diameter support can be heated directly LFG via resistive heating as shown molecules here, if the light-off temperature Inlet Outlet is > room temperature Since the mean free path of gas molecules under atmospheric condition is ~0.1 micron, the porous Al2O3 thin film with pore size of 0.1 micron will provide a Knudsen flow regime, where the gas molecules will collide with the catalyst wall Stainless steel support with more frequently than collide with each other. resistive heating option Conceptual diagram for a Knudsen flow reactor Inlet Al2O3 thin film with + 0.l-02 μm pore size and 5 micron Stainless steel substrate thickness, which is as support and a heater, coated with highly ~2 mm thickness and 50 dispersed catalyst. micron pore opening - Outlet
  • 11. Polymer Electronic Materials for Alternative Energies Kenneth K. S. Lau – Drexel University Polymer-based solar cells permit more widespread solar harvesting. Silicon photovoltaic technology is expensive. Organic, polymer-based materials lower cost Problems: in bulk heterojunction devices inefficiencies result from the mismatch of high band gaps of conjugated polymers with the solar spectrum, and generally poor charge generation and charge transport due to structural and morphological defects. Aim here: use initiated chemical vapor deposition (iCVD) technologies to design, synthesize and integrate polymer electronic materials as viable photovoltaic devices. iCVD – single step process, deposit a solid polymer thin film on a substrate by thermally initiating the polymerization of a monomer vapor.
  • 12. Engineering and Integration of Polymer Electronic Materials for Alternative Energies Kenneth KS Lau Dept of Chemical and Biological Engineering, Drexel University, Philadelphia, PA 19104 Overall Objective Create novel polymer electronic materials through a highly tunable synthesis process – initiated chemical vapor deposition – to enhance photovoltaic operation heated iCVD Reaction and Process Technology filament • one step polymerization and polymer thin film forming initiator & • chemical design via liquid phase polymerization mechanisms monomer vapor flow • physical control via liquid free CVD environment Bulk cooled Heterojunction substrate Cell iCVD Reactor System and Reaction Mechanism Dye Sensitized Solar Cell
  • 13. Hypothesis Tight interfacial contact of polymer electrolyte with nanostructured photoanode leads to more effective charge transport in dye sensitized solar cells -- Lau iCVD chemistry produces polymer electrolytes with tunable composition and ionic conductivity RK Bose & KKS Lau. Chemical Vapor Deposition 15, 150-155 (2009). iCVD physical processing enables pore filling of polymer electrolyte in mesoporous anode S Nejati & KKS Lau. Nano Letters 11, 419-423 (2011). S Nejati & KKS Lau. Thin Solid Films 519, 4551-4554 (2011). Tight integration of iCVD polymer electrolyte in anode leads to enhanced solar efficiency
  • 14. Flame-based Synthesis of Metal Nanoparticles Sharmach, Papvasilliou and Swihart Metal nanoparticles, e.g. silver and copper, may be used in inks and pastes for displays, photovoltaic devices, energy storage, electronics applications, in catalysis, thermally conductive fillers, and anti-microbial additives (e.g., wound dressings). Use flame-based process Lower cost than a plasma or laser based process Use thermal nozzle reactor: separates combustion from particle formation by passing hot combustion products through a converging-diverging nozzle -> get extraordinarily fast mixing Produce nanoparticles in gas phase at high throughput Form alloy and core-shell particles and novel carbon nanomaterials, structures not obtainable by other methods
  • 15. Flame-based Synthesis of Metal Nanoparticles at Millisecond Residence Times William Scharmacha,b, Vasilis Papavasilliou,a* Mark T. Swihartb* aPraxair Inc., bUniversity at Buffalo (SUNY),*Principal Investigators Rapid • Economical, environmentally-friendly production of < Quenching 50 nm metal nanoparticles • Applications in printed electronics, coatings, catalysts, membranes, etc. Nanoparticle Formation Silver Carbon-coated Thermal Copper Nozzle Water- based Precursor H2/O2 Flame
  • 16. Flame-based Synthesis of Metal Nanoparticles at Millisecond Residence Times William Scharmacha,b, Vasilis Papavasilliou,a* Mark T. Swihartb* aPraxair Inc., bUniversity at Buffalo (SUNY),*Principal Investigators • Economic and environmentally friendly  synthesis of < 50 nm metal nanoparticles • Ideal for producing metal nanoparticles for  use in electronics, coatings, catalysts,  membranes, etc. • Thermal nozzle jet‐based technology    provides optimal heating and mixing  conditions for metal nanoparticle synthesis Nanoparticle  Formation • Compact, suitable for high volume  production, simple, and scalable • Flexibility to produce a variety of  nanoparticles including bimetallic  and  Water‐based  Precursor multicomponent particles H2/O2 Flame
  • 17. Chemical Process Design Development of Fundamental Design Methodology Developing global optimization methodologies Application Areas Parallel nonlinear programming for optimization in rapid therapeutics manufacturing Integrated planning and scheduling – industrial applications Optimization strategies for designing biofuel processes Directed assembly of nanoscale process systems 17
  • 18. Innovative Methodologies for Integrated Planning and Scheduling Marianthi Ierapetritou, Rutgers University Modern chemical complexes may involve either large integrated complex or multi-site production facilities serving global markets Coupling of planning and scheduling models across different temporal and spatial scales improve process operations Computational intensity, model uncertainty and complexity of manufacturing processes are roadblocks – have intractable mixed-integer linear model (MILP) takes too long to solve Solution method based on decomposition principles Use Agent-Based (AB) Approach Modified Benders decomposition Augmented Lagrangian relaxation Rolling horizon method: based on the fact that planning decisions for the far future may be inaccurate due to the unpredictability of future uncertainties Hybrid Optimization Simulation approach
  • 19. Integration of Planning and Scheduling Marianthi Ierapetritou, Rutgers University Planning and Scheduling Integration Production Profile Production Planning Enterprise–Wide Optimization (EWO): Scheduling Detailed scheduling Robust response to global demand to maintain business competiveness and growth Improve consistency and operability of the planning decisions Full Scale Integrated Model Solution Approaches: Mathematical programming Given the fixed demand forecast and lead time, the model optimizes the production, inventory, transportation, and backorder • Block angular structure of the matrix is exploited costs. • Coupling constraints for Inventory and production variables are introduced The model for multisite network is large • Constraints are relaxed using Augmented Lagrangian relaxation complex model and efficient solution • The problem can be decomposed into the planning and scheduling problem approaches are needed
  • 20. Enterprise-Wide Optimization Marianthi Ierapetritou, Rutgers University Simulation of a Supply Chain (SC) Network Multi agent-based representation Agent-Based (AB) Approach: Methodology to track the actions of multiple "agents" defined to be objects with some type of behavior as: Autonomy Social ability Reactivity Pro-activeness agents SC entities Hybrid Optimization Simulation approach Sustainability considerations are Output: decision rules imposed by increasing awareness of: - governmental regulations Sustainable - environmental policies SC Global SC Lean SC Multi-objective optimization Input: (aggregated results) Economic and environmental criteria are considered in the decision-making process.
  • 21. A brief history of biotechnology • Man has been manipulating living things to solve problems and improve his way of life for millennia. • Early agriculture concentrated on producing food. Plants and animals were selectively bred and microorganisms were used to make food items such as beverages, cheese and bread. • The late eighteenth century and the beginning of the nineteenth century saw the advent of vaccinations. • At the end of the nineteenth century microorganisms were discovered, Mendel's work on genetics was accomplished, and institutes for investigating fermentation and other microbial processes were established by Koch, Pasteur, and Lister. • Biotechnology at the beginning of the twentieth century began to bring industry and agriculture together. During World War I, fermentation processes were developed that produced acetone from starch and paint solvents The advent of World War II brought the manufacture of penicillin. The biotechnological focus moved to pharmaceuticals. The "cold war" years were dominated by work with microorganisms in preparation for biological warfare as well as antibiotics and fermentation processes. • By the mid 70’s, genetic engineering/ molecular biology became a powerful tool to start the process of designing cells for desired functions, that brought us fields of metabolic engineering in the mid 90’s and synthetic biology in the past decade. • In parallel, we developed analogous tools to manipulate mammalian cells, and made advances both in developmental biology and material science, that has enabled the field of stem cell engineering. • By the mid 90’s tremendous, new analytical tools in biology and better computational tools has led to advances in systems biology. 21
  • 22. Genetic engineering/ molecular biology, the first wave of modern biotechnology These tools enabled us to use bacteria or mammalian cells to make therapeutic proteins like insulin
  • 23. By the mid 90’s, we discovered if we wanted cells to  make complex materials (other than a single protein), we  needed to redesign metabolic networks.  Flux Quantification ANALYSIS Analysis of Flux Control Metabolic MODIFICATION recombinant Networks DNA technology Cell improvement
  • 24. The Cell as a factory We treat the cell as a chemical factory, with an input and an output. D S A E B C P P1
  • 27. Multi-input Multi-output Cellular Control Christopher Voigt UCSF Applying process control theory in biological systems Sensors on cell surface recognize specific signals (inputs), this is translated into a transcriptional or behavioral response (outputs) Inputs and outputs are connected by a network of interacting proteins, RNA or DNA Call these “genetic circuits” – process signals and function like logic gates, switches and oscillators Work here: How genetic circuits integrate information from multiple sensors How integrated circuits choose among multiple possible responses Use Salmonella regulatory network as model system
  • 28. Multi-input Multi-output Cellular Control Christopher Voigt UCSF (Using logic from electrical engineering circuit design to program cells) Individual Circuit Design Multi‐Circuit Genetic Programs Applications Thermodynamics Kinetics, Transport Computer Aided Design More Complex Hosts Edge detection is just one example of the type of logic circuits that can be designed and then implemented in bacteria  using synthetic biology tools developed in the Voigt lab.
  • 29. Using Systems Biology & Experiment in Cancer Signaling David J. Klinke, West Virginia University Monoclonal antibodies – cancer drugs that target molecules unique to cancer cells – promote the death of cancer cells Want to understand how cancer cells resist design effective treatments Looking into mechanisms of resistance Posit that cancer cells secrete biochemical cues, signal cells and inhibit drug effectiveness Identify antagonistic cross-talk between malignant cells and cells of the immune system Experimental and modeling effort Cross-disciplinary: biochemical engineering, cancer biology, pharmacology, etc.
  • 30. Using Systems Biology & Experiment in Cancer Signaling David Klinke West Virginia University Klinke Mol Cancer 2010 Prior information Tumor Immune Cell Cell 3 4 3 4 -100 0 100 10 10 -100 0 100 10 10 Starve 12hr Starve 14 hr Starve 24 hr Starve 36 hr 4 10 3 10 100 MFI pSTAT4 0 -100 Starve 12hr + IL12 2hr Starve 12hr + IL12 12hr Starve 12hr + IL12 24hr 4 10 3 10 100 siRNA  nAb 0 -100 -100 0 100 10 3 4 10 In vitro Cell MFI IL-12Rβ2 Experimental Model‐based Models Flow Cytometry Validation Inference Klinke et al. Biophys J 2008 Klinke et al. Cytometry A 2009 Alpha enolase spectra 4 2D‐GE x 10 Normalized pSTAT4 Normalized IL12R 5 1 160 IL12p70 (pM) 4 0.75 120 3 0.5 80 M/Z 2 1 0.25 40 0 0 0 0 20 40 0 20 40 0 20 40 Time (hours) Time (hours) Time (hours) MALDI ODE 1.5 80 20 TNFα (pM) 60 15 IL10 (pM) IFNγ (pM) 1 40 10 0.5 TOF MS Models 20 5 AMCMC 0 0 20 40 Time (hours) 0 0 20 40 Time (hours) 0 0 20 40 Time (hours) Kulkarni et al.  Pathway Enrichment BMC Cancer 2010 Klinke BMC Bioinform 2009 Pr(Predictions | Model, Data) Finley et al. Immunol Cell Bio 2010
  • 31. Engineering of a Microbial Platform for the Conversion of Light Energy into Chemical and Electrical Energy Claudia Schmidt-Dannert - University of Minnesota Building a bacterial solar cell Use light-energy to drive desirable energy demanding metabolic processes - > electricity generation in engineered cells Reconstruct phototrophy in a non-photosynthetic microorganism Engineer Rhodobacter sphaeroides to convert light- energy into electricity Have converted light energy by recombinant Shewanella’s extracellular electron transfer pathway into Rhodobacter
  • 32. Engineering of a Microbial Platform for the Conversion of Light Energy into Chemical and Electrical Energy Claudia Schmidt-Dannert - University of Minnesota Non-photosynthetic microbes: easier to engineer well-understood metabolism useful metabolic properties e3 G en n G en e2 h to 1 Lig ne Ge + proteorhodopsin Utilization of light energy to: - proteorhodopsin drive metabolically expensive reactions generate electricity Goal: Light-Energy Conversion in Example: Light-dependent current Engineered Non-Photosynthetic Bacteria increase in electrochemical chambers containing engineered Shewanella oneidensis expressing proteorhodopsin 32
  • 33. Water Sustainability Much of the World’s population is rapidly running out of water, both potable and non-potable We must find “new” sources of water or ways to conserve or reuse what we now have In a sense, all of our water is reused The “purity” of our water supplies should match to its intended use Energy is a major user of water and needs to be controlled As readily available water is depleted, the alternatives may have much larger energy and resource requirements Life Cycle Assessment (LCA) is essential 33
  • 34. World Population from 1800 to 2100 (Based on UN 2004 projections) 34
  • 35. Non-Traditional Water Sources Besides the traditional water sources (rivers, lakes, groundwater), municipalities are considering use of: Agricultural return flows Concentrate and other wastewater streams Stormwater management and rainwater harvesting Co-produced water resulting from energy and mining operations Desalination of seawater and brackish waters Wastewater reclamation and reuse Source separation Water conservation (behavioral changes, low-flow devices, drip irrigation, etc.) 35
  • 36. Factors Driving Water Reuse Population growth Increased urbanization Improvement in living conditions in developing countries Water scarcity Increased municipal, industrial and agricultural demand Water rights arguments Dependence on a single source of supply TMDLs / nutrient load caps Drought Climate change 36
  • 37. Singapore’s NEWater NEWater is treated wastewater that is purified using microfiltration/ultrafiltration and reverse osmosis technologies and ultraviolet disinfection, in addition to conventional water treatment processes Fifth reclamation plant recently put on-line Now supplying 30% of total water demand Current total capacity = 20 million MGD (75,700 m3/day) Most is used in industry 37
  • 38. Water Reuse Benefits Dependable source of supply Reliable, consistent quality Locally controlled; right to use Environmentally friendly Low capital costs relative to other sources of supply Energy Demand by Water Source Augments existing supplies (kWh/AF) (Source: WateReuse Association) 38
  • 39. Pharmaceutically Active Compounds (Source: WateReuse Association) 39
  • 40. Water Reuse Issues Public perception / acceptance Perceived chemical risks Lack of political support Sometimes cheaper, short-term alternatives are available Funding Need to replace existing urban infrastructure Institutional barriers between water and wastewater utilities Climate change Energy / water nexus 40
  • 41. Water Treatment Requires Energy Treatment of future water supplies will be energy intensive •Readily accessible water supplies have been harvested •New tecnologies are required to reduce energy requirements to access non-traditional sources (e.g., impaired water, brackish water, sea water) Source: EPRI 41
  • 42. Dynamic Structure and Function of Biofilms for Wastewater Treatment Robert Nerenberg – Univ. of Notre Dame Developing a Hybrid Membrane-Biofilm Process (HMBP) where cassettes of air-filled membrane-supported biofilms are intregrated into an activated sludge tank These are counter-diffusional biofilms, where the electron donor and acceptor come from opposite sides. Eliminates bubbled aeration, potentially saving over 50% of the electrical energy requirements of the treatment plant, while achieving nitrogen removal and minimizing N2O emissions 42
  • 43. Desalination Energy Issues Energy Use and Efficiency • Energy use is ~40-60% of desal water cost Thermal processes: Membrane processes: Distillation, … Reverse osmosis, … ra ne mb me Drinking pump water Drinking concentrate water concentrate heat Pretreatment Concentrate Management • Robust, cost-effective and low • Disposal is major environmental and chemical used needed economic problem for inland desal and emerging coastal desal issue 43
  • 44. Investigating a New Energy-Efficient Hybrid Ion Exchange-Nanofiltration Desalination Process Arup Sengupta – Lehigh Univ. Typical seawater reverse osmosis (RO) plants require 1.5-2.5 kWh of electricity to produce 1 m3 of treated water Thermal distillation requires 5-10 times more This project will develop a new hybrid ion exchange-nanofiltration process that will reduce energy consumption by 2-3 times RO membranes will be totally replaced by nanofiltration membranes The volume of brine to be disposed will be greatly reduced 44
  • 45. AIChE Relevant to Chemical Engineering Priorities Sustainability – Institute for Sustainability Energy – Center for Energy Initiatives Water – Water Advisory Board Biological Engineering – Society for Biological Engineering Burka, November, 2011 45
  • 46. ITG’s Industrial Technology Groups Formed by AIChE to address: need for experts to collaborate to overcome common obstacles, global challenges or technology breakthroughs First ITG—Center for Chemical Process Safety CCPS (Response to Bophal 1990’s) Most Recent-- AIChE Water Initiative
  • 47. ITG’s: Addressing Critical Issues of Today and Tomorrow Center for Energy Initiatives Institute for Sustainability  Water Advisory Board  Society for Biological Engineering
  • 48. IFS and CEI IfS --2004 Chair: Deborah Grubbe Launches products to meet needs of Sustainability Professionals Center for Sustainable Technology Practices (CSTP) AIChE Sustainability Index Sustainable Engineering Forum Join: contact ifs@aiche.org CEI -- 2010 Chair: Dale Keairns Provides an overarching coordination of AIChE energy activities Join an AIChE Division..you are engaged. Contact energy@aiche.org
  • 49. Highlights Include Program Relevancy and Plans AIChE Sustainability Index ™ 3 additional companies anticipated for 2012 (Benchmarking of CPI Sustainability Performance) ICOSSE Label for ACHEMA 2012 Partnership with DEChEMA (Certification of Products, Processes being exhibited) May launch for additional exhibits EPA People, Prosperity and the Planet 2011-Partner Promotion of Student Sustainability Projects Selected to be Co-Sponsor for 2010 and 2011 Sustainable Packaging Symposium 2011 and 2012 245 Attendees in 2011. Media Partner- Greener Package . Repeat in 2012: AIChE Spring Meeting Certification of Professionals Certification Advisory Board Reviewing Program October 31, 2011 in anticipation of 2012 launch. EPA/NSF/AIChE Sustainable Supply Chain Workshop September 2011. Launch of Industry/Academia/Gov consortium to Continue Work DOD: Sustainable Material and Chemicals Consortium DOD funded to Launch this industry/government consortium. Sustainable Packing for Cosmetics Roundtable (SPCR) Organized and Launched September 2011 with Chemical Engineers from non traditional CPI companies (Estee Lauder, Chanel, Victoria Secrets)
  • 50. Highlights Include Program Relevancy and Plans Founder Carbon Management UEF grants ‘09, ‘10, ’11 Lead Trans-disciplinary Team AIChE, ASME, AIME, IEEE, ASCE, SME, TMS, SPE Carbon Management Technology February 9-12, 2012 Orlando Florida Conference Peer Reviews Gov: DOE NETL July 2011 Gov: Planned expansion to 2-3/year by 2012 Industry Interest as well for Service on LCA
  • 51. Questions Maria K. Burka mburka@nsf.gov