Co-Processing Model for bioenergy (Co-Processing)

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Abstract: Co-Processing biomass-intermediate at petroleum refinery has the potential to reduce capital cost of bio-refinery and therefore the production cost of biofuel. The Refinery Co-Processing Models were developed to understand the opportunities, technical risks, information gaps and research needs for co-processing biomass-derived intermediates with traditional petroleum intermediates in petroleum refinery. PNNL leaded the development of those Aspen Plus models for co-processing at hydrotreating and hydrocracking units. Similar models were developed by NREL for co-processing at fluid catalytic cracking unit. Those models can be applied to conduct preliminary economic analysis to estimate the bio-oil intermediate breakeven values and effective minimum selling price
from biomass to final products.
Model/Tool Platform:
Aspen Plus/Excel
General Modeling Type:
Engineering process
Primary analytical purpose:
Techno-economic analysis: Technical and economic analysis of technologies or systems of technologies.
Secondary analytical purpose:
Feasibility/Implementation assessment: Assessment of the feasibility or implementation of technologies and feedstocks in terms of operations or in the context of their landscape or market.
Metric categories:
  • Environmental:
    • Environmental Productivity (feedstock-related, e.g., NPP or yield)
    • GHG Emissions
    • Water Impacts (quality and/or quantity)
  • Socio-economic:
    • Employment
    • Energy Security
    • Net Energy Balance
    • Process Productivity (conversion-related, e.g., yield)
    • Techno-economic Impact
    • Other Socio-economic (e.g., GDP impact, Investment/NPV)
Geospatial resolution:
National
Temporal resolution:
Years
Laboratory:
PNNL - Pacific Northwest National Laboratory
Principal investigators:
Corinne Drennan, Yuan Jiang
Model start year:
2015
Model last updated:
2018
Development status:
In Development
Level of validation/review:
External Peer Review / Publicly Released
Links: (None specified)
Model scope:
Supply chain elements
Biomass Supply
Feedstock Logistics
Conversion
Distribution
End Use
  • Feedstock Types
    • Agricultural Residues
    • Herbaceous Energy Crops
    • Forest Residues
    • Forest Resources
    • Woody Energy Crops
    • Solid Wastes (e.g., MSW, C&D, yard trimmings)
    • Fats, Oils, and Greases
  • Conversion Technology
    • Lignocellulosic Biomass to Biocrude Intermediate (TC)
    • Waste to Biocrude Intermediates (HTL)
    • Oil Catalytic Upgrading
    • Algae to Biocrude Intermediate (HTL)
  • Products/Process Outputs
    • Transportation Fuels - Renewable Diesel
    • Transportation Fuels - Renewable Gasoline
    • Transportation Fuels - Renewable Jet
    • Renewable Natural Gas
    • Biopower
    • Intermediate - Pyrolysis or Biocrude Intermediate
  • Transportation Market Segment
    • Light Duty Vehicles
    • Heavy Duty Vehicles
    • Trains
    • Aviation
    • Marine
Linkage Strength: (hover for description)
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Analytical Purpose
Supply Chain Elements
Biomass Supply
Feedstock Logistics
Conversion
Distribution
End Use

Feasibility / Implementation Models

Techno-economic analysis
Co-Processing Model for bioenergy (Co-Processing)
Supply chain elements: Conversion, Distribution, End Use
Refinery Co-processing Models (RCPM)
Supply chain elements: Biomass Supply, Feedstock Logistics, Conversion
Biomass Logistics Model (BLM)
Supply chain elements: Biomass Supply, Feedstock Logistics, Conversion

Data Compilation Tools

Bioenergy Knowledge Discovery Framework (Bioenergy KDF)
Supply chain elements: Biomass Supply, Feedstock Logistics, Conversion, Distribution, End Use
Information last updated: Sep. 30, 2019 17:00:58 EDT