Price of all commodities increased when the carbon tax is applied. - PowerPoint PPT Presentation

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Price of all commodities increased when the carbon tax is applied.

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Title: Price of all commodities increased when the carbon tax is applied.


1
A Framework for Assessing the Biocomplexity of
Material Use Jun-Ki Choi1, Bhavik R. Bakshi1 and
Tim Haab2 1Center for Resilience, Department of
Chemical and Biomolecular Engineering, The Ohio
State University, Columbus OH-43210 2Department
of Agricultural, Environmental and Development
Economics. The Ohio State University, Columbus
OH-43210 The Intermediate Input-Output Meeting,
July 9-11, 2008, Seville, Spain
Motivation and Needs
Framework
Price Changes
  • Successful development and execution of
    industrial products and processes requires
    consideration of economic, environmental and
    social factors that span multiple spatial and
    temporal scales.
  • Biocomplexity refers to the dynamic web of
    often surprising interrelationships that arise
    when components of various disciplines in
    multiple temporal and spatial scales interact
    U.S. National Science Foundation
  • Analyzing these interrelations among these
    systems is essential for ensuring feasibility of
    engineering and economic activities.
  • Ultimate goal is to develop a multi-scale
    framework for integrated assessment of technology
    and policy alternatives for material use by
    input-output analysis.
  • Price of all commodities increased when the
    carbon tax is applied.
  • Percentage price change of the disaggregated
    coal fired electricity and natural gas/petroleum
    fired electricity are increased with highest rate
    compare to other commodities.
  • It implies that these sectors consumes lots of
    fossil fuels.

Coal fired electricity generation
NG Pet. fired electricity generation
Disaggregated NAICS 2211 Electric power
generation
Environmental Analysis
  • Hypothetical Carbon tax (50/ton Coal,
    25/barrel Oil) is levied to the whole year 2002
    economy proportion to the physical amount of
    burning the fossil fuels. Following graphs show
    the CO2 reduction.

Existing Methodologies
  • Engineering- Detailed, scientifically sound
    models of equipment and processes are available.
  • Environmental- Many methods consider resource
    consumption, emissions and their impact
    throughout life cycle (LCA, MFA, Energy, and
    Exergy Analysis).
  • Economy - Macroeconomic models consider
    interaction between aggregated sectors (EIO, CGE,
    Partial Equilibrium Models) and microeconomic
    models focus on consumer behavior.
  • However, most of the method usually focus on the
    single scale modeling and ignores the multi scale
    aspect of different disciplines.

Integrated Engineering Analysis
Economy wide
Electricity sector
  • Profits of an engineering plant are compared for
    different scenarios.
  • Profit increased for Multi-scale case even after
    carbon tax levied.
  • This is because the percentage price increase of
    electricity is much higher than that of raw
    materials and the percentage decrease of the
    production.

Disaggregation
  • Different rules for disaggregation are used for
    allocating the physical input and output
    transactions.

Aggregated Economy level
Disaggregated Economy level
Integrated Multiscale Modeling
  • Maximize Profit of industrial process
  • Subject to
  • Mass and energy conservation equations
  • Dual price equations of disaggregated economy
  • Carbon Tax
  • Price elasticity of demand for each commodities

Engineering Process level
Interaction between Economy and Industry
Allocation of Physical Flows
On-going works
Cost-Push System Leontief Price Model
  • Life cycle analysis of the alternative
    transportation fuels
  • Utilization of the developed framework for
    accounting the possible shock in economy to
    engineering system
  • Develop rigorous methods to account for the role
    of natural capital in engineering production
    decision making

ECONOMY
Demand-Pull System
Ghosh Model
Price elasticity of demand
Electricity share In 2002 economy (Data Source
EIA)
Acknowledgement
Different Industrial Operation
  • This work is supported by U.S. National Science
    Foundation under MUSES grant (ECS-0524924)

INDUSTRY
  • Engineering Optimization

Electronic copy of this poster can be requested
to dominick.choi_at_gmail.com or bakshi.2_at_osu.edu
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