Natural Oil Polythiols and Polyols - PowerPoint PPT Presentation

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Natural Oil Polythiols and Polyols

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Natural Oil Polythiols and Polyols A Life Cycle Comparison Thomas A. Upshaw, William J. Fisher, Eric J. Netemeyer Chevron Phillips Chemical Co., LP – PowerPoint PPT presentation

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Title: Natural Oil Polythiols and Polyols


1
  • Natural Oil Polythiols and Polyols
  • A Life Cycle Comparison
  • Thomas A. Upshaw, William J. Fisher, Eric J.
    Netemeyer
  • Chevron Phillips Chemical Co., LP
  • ACS Green Chemistry Engineering Conference
  • June 25, 2008

2
Outline
  • Study objectives
  • Modeling tools and information sources
  • Modeled systems and assumptions
  • Mercaptanized soybean oil (MSO)
  • Petrochemical (flexible polyether) polyol
  • Castor oil
  • Soy-based polyol
  • LCA Methodology
  • Impact category results
  • Conclusions

3
Soy Polythiol MSO (Polymercaptan 358)
4
Objectives
  • Develop a soy polythiol life cycle inventory
    (LCI) platform for product life cycle assessment
    through the product manufacturing stage
    (cradle-to-customer)
  • Compare life cycle environmental impacts using
    updated LCI data for vegetable oil and
    petrochemical (polyether) polyols to quantify the
    benefit of using a renewable oil as raw material
  • Future assess process changes and new process
    technology for reduced environmental impact

5
Life Cycle Modeling Tools
  • SimaPro 7.0 software, using SimaPro 7.0 database
    and U.S. LCI database
  • BEES (Building for Environmental and Economic
    Sustainability) impact model
  • NIST sponsored EPA supported
  • Methodology used by USDA BioPreferred program
  • Conducted in accordance with ISO 140401997(E)
    standard
  • TRACI (Tool for the Reduction and Assessment of
    Chemical and other Environmental Impacts) EPA
    life cycle impact assessment method

6
Data Sources
  • Soybean data
  • Agriculture data from U.S. LCI database (NREL)
  • Processing data from NREL LCA report on biodiesel
    1998
  • Soy Polythiol Chevron Phillips Chemical Co.
  • Process inputs estimated from commercial
    production facility, assuming conventional H2S
    process technology
  • Soy-based Polyol
  • 2004 manufacturer-specific BEES input streams
  • Petroleum (flexible polyether) polyol
  • U.S. LCI database
  • Castor oil
  • Purdue University article and various internet
    sources
  • Incomplete process data supplemented by analogous
    data on other seed oils in U.S. LCI database

7
LCA System Boundaries
LCI INPUTS
LCI OUTPUTS
Crop oil Feedstocks
Petroleum Feedstocks
Upstream Production of Raw Materials
Agricultural production
Process energy
Raw materials production
Air emissions
Water effluents
Materials production, transport
Vegetable oil production refining
Waste
Process energy
Product Polyol or Polythiol Manufacturing Stage
Air emissions
Water effluents
Materials production, transport
Waste
Transportation to the customer
Energy, materials
Air emissions
8
MSO Polythiol Assumptions
  • Commercial process design based on known reaction
    conditions from trial runs at Philtex plant
    (Borger TX)
  • UV reactor
  • Estimated stoichiometric excess of H2S
  • Stripping and recycle of H2S
  • Known reaction conditions from lab/pilot work
  • Conventional energy sources (nat. gas)

9
Petrochemical Polyol Assumptions
  • Consolidated proprietary information for 5 North
    American plants, 2003-5 data
  • Polyether polyol, glycerin-initiated, 3500 mol wt
    (on average)
  • KOH-catalyzed, solvent, water-washed
  • 7.6 to 1 wt ratio PO/EO

10
Castor Oil Assumptions
  • Complete data were not available
  • Significant uncertainty, need better data
  • Analogous LCI data for other seed oils were used
    for some LCI inputs (fertilizer usage, energy)
  • Since growth and modernization of castor
    agriculture has been occurring, mechanized
    production and irrigation were assumed for 75 of
    production
  • 8200 mile transport from India to U.S. market
    assumed before distribution in the U.S.

11
Soybean Oil Polyol Assumptions
  • 2004 manufacturer-specific BEES data
  • Produced by simple air oxidation of soybean oil
  • No further refinement, purification or
    derivatization
  • Soy agricultural model
  • Not sure if waste/off-grade is taken into account
  • 1000 mile transport to customer

This probably represents the most environmentally
benign vegetable oil polyol process possible a
benchmark for comparison of other renewable
products
12
LCA Methodology
  • Life Cycle Inventory quantified listing of
    inflows and outflows per 1000 lbs of product
    (built in SimaPro 7.0)
  • Converted to equivalent units per 1000 lbs and
    combined into LCIA impact categories (BEES
    impact model)
  • Normalized to unitless dimensions corresponding
    to fraction of total U.S. impact per year per
    capita
  • Overall BEES environmental score sum of
    normalized impacts weighted by importance
  • 2006 BEES Stakeholder Panel

13
LCA Methodology
  • Life Cycle Inventory quantified listing of
    inflows and outflows per 1000 lbs of product
    (built in SimaPro 7.0)
  • Converted to equivalent units per 1000 lbs and
    combined into LCIA impact categories (BEES)
  • Normalized to unitless dimensions corresponding
    to fraction of total U.S. impact per year per
    capita
  • Overall BEES environmental score sum of
    normalized impacts weighted by importance
  • 2006 BEES Stakeholder Panel

14
Impact Comparison
(Cradle-to-customer)
15

16

17

18
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19
Conclusions
  • LCA is a valuable tool to help assess
    environmental impact of products and processes at
    a more detailed level.
  • more standards and complete, up-to-date publicly
    available data are needed to improve general
    utility and consistency.
  • Global warming potential and fossil fuel use of
    MSO and vegetable oil polyols are significantly
    lower than for the petroleum-based polyether
    polyol due to the crop oil raw material source.
  • Agricultural practices, oil extraction methods
    and shipping also have a significant impact.
  • Future use of renewable energy for MSO production
    would result in a significant reduction in global
    warming potential (GWP) and fossil fuel
    consumption.

20
Conclusions
  • Next generation process technology currently
    under development may significantly reduce energy
    consumption, GWP and SOx generation (i.e.,
    criteria air pollutant and acidification
    impacts).
  • Castor oil was comparable to MSO overall (BEES),
    but better life cycle input data for castor oil
    is needed
  • Castor suffered from the use of the solvent
    extraction process and (probably high) estimated
    water and fertilizer use (vs MSO) and
    eutrophication and smog potential were high vs
    soybean oil polyol.
  • A best case soy oil based polyol showed less than
    16 the overall impact relative to a
    petroleum-based polyol
  • But best case (simple) process does not
    necessarily give a product with acceptable
    end-use properties

21
Acknowledgements
  • American Chemical Society
  • Jim Pollack, OmniTech International Ltd.
  • Anne Landfield Greig, Four Elements Consulting,
    LLC
  • Chevron Phillips Chemical Company, LP
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