Biotrans

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Abstract: BioTrans aims to quantify the economic and energy security benefits of biofuels and bioproducts. It provides insight on system configurations and conditions that advance economic welfare and improve resilience along the biofuels/products supply chain. It offers a framework to estimate the costs of oil or biomass supply shocks for different groups of market participants (biomass growers, biorefinery owners, consumers) under alternative supply chain configurations. It also allows an exploration of the value of flexibility levers, such as advanced logistic design, feedstock flexibility at biorefineries, or blending flexibility, for mitigating the cost of those shocks.
Model/Tool Platform:
GAMS
General Modeling Type:
Hybrid / other: Dynamic partial equilibrium (non-linear optimization)
Primary analytical purpose:
System level: Analysis of the effects of bioenergy and bioproduct technologies and feedstock on the landscape or relate markets. System level modeling examines effects outside the direct supply chain.
Secondary analytical purpose:
Risk/Financial analysis: Analysis of the risks and financial aspects of technology or feedstock implementation.
Metric categories:
  • Socio-economic:
    • Employment
    • Energy Security
    • Trade
    • Other Socio-economic (e.g., GDP impact, Investment/NPV)
Geospatial resolution:
Regional/Watershed
Temporal resolution:
Years
Laboratory:
ORNL - Oak Ridge National Laboratory
Principal investigators:
Paul Leiby, Rocio Uria-Martinez
Model start year:
2010
Model last updated:
2017
Development status:
Fully Developed with periodic updates
Level of validation/review:
External Peer Review
Links:
Model scope:
Supply chain elements
Biomass Supply
Feedstock Logistics
Conversion
Distribution
End Use
  • Feedstock Types
    • Starch
    • Agricultural Residues
    • Herbaceous Energy Crops
    • Forest Residues
  • Conversion Technology
    • Starch to Sugars
    • Lignocellulosic Biomass to Sugars
    • Lignocellulosic Biomass to Biocrude Intermediate (TC)
    • Oil Catalytic Upgrading
    • Sugar Biological Upgrading
  • Products/Process Outputs
    • Transportation Fuels - Biodiesel
    • Transportation Fuels - Ethanol
    • Transportation Fuels - Renewable Diesel
    • Transportation Fuels - Renewable Gasoline
    • Biopower
    • Other Process Output
  • Transportation Market Segment
    • Light Duty Vehicles
Linkage Strength: (hover for description)
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Analytical Purpose
Supply Chain Elements
Biomass Supply
Feedstock Logistics
Conversion
Distribution
End Use

Resource Assessment Models

Forest Sustainable and Economic Analysis Model (ForSEAM)
Supply chain elements: Biomass Supply
Policy Analysis System Model (POLYSYS)
Supply chain elements: Biomass Supply, Feedstock Logistics, Conversion

Feasibility / Implementation Models

Techno-economic analysis
Blending Model (Blend)
Supply chain elements: Conversion, Distribution, End Use
NREL Conversion TEA Models (NREL-TEA)
Supply chain elements: Conversion
PNNL Conversion TEA Models (PNNL-TEA)
Supply chain elements: Conversion
Biomass Logistics Model (BLM)
Supply chain elements: Biomass Supply, Feedstock Logistics, Conversion

Impact Assessment Models

Biotrans
Supply chain elements: Biomass Supply, Feedstock Logistics, Conversion, Distribution, End Use

Integrated Scenario Assessment Models

Bioenergy Scenario Model (BSM)
Supply chain elements: Biomass Supply, Feedstock Logistics, Conversion, Distribution, End Use

Data Compilation Tools

Bioenergy Knowledge Discovery Framework (Bioenergy KDF)
Supply chain elements: Biomass Supply, Feedstock Logistics, Conversion, Distribution, End Use
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Information last updated: Sep. 17, 2019 13:45:46 EDT