Sesion 2.2 141224b NEA-Workshop 31Mar15-Stanford SimonRoberts v5

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Colin J. Axon, UK Nigel H. Goddard, Scotland Barney D. Foran, Australia Benjamin S. Warr, France The Energy-Economy System - extending NEA to the policy-testing framework of 7see (see www.arup.com/gdp for the Sankey diagram booklet) March 31 st , 2015, Net Energy Analysis Workshop, Stanford Simon H. Roberts Foresight + Research + Innovation, Arup, London

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Transcript of Sesion 2.2 141224b NEA-Workshop 31Mar15-Stanford SimonRoberts v5

  • Colin J. Axon, UK

    Nigel H. Goddard, Scotland

    Barney D. Foran, Australia

    Benjamin S. Warr, France

    The Energy-Economy System - extending NEA to the policy-testing framework of 7see

    (see www.arup.com/gdp for the Sankey diagram booklet)

    March 31st, 2015, Net Energy Analysis Workshop, Stanford Simon H. Roberts Foresight + Research + Innovation, Arup, London

  • 2

    7see for direct energy

    A slightly different way of looking at NEA: the 7see approach

    Net Energy Analysis (NEA)

  • 3

    Direct Energy for UK oil & gas extraction: 2.8% rising to 5.5%

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    1990 2000 2010 2020 2030D

    irect

    ene

    rgy

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    utpu

    t ene

    rgy

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    io)

    year

    Direct Energy use for oil & gas extraction

    historical

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    4. Source of Gross Fixed Capital Formation (GFCF)

    5. Calibrate from historical data

    6. Configure dynamical system

    Key aspects of the 7see approach (references to the Sankey diagram booklet)

    1. Fixed Capital (FC) basis of economy

    2. Inputs and outputs for each FC

    3. Supply shortfall feedback to FC

    Vensim

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    1. The boxes: Fixed Capital (FC) basis of economy (booklet page 10)

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    2. Boxes and their arrows: inputs and output for each type of Fixed Capital (FC)

    (Not using prices; only energy, jobs, and economic volume flows.)

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    3. Supply shortfall is the feedback (a dynamic system) via Fixed Capital Formation (FCF) to FC, and thus supply

    Vensim

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    4. Source of Gross Fixed Capital Formation (GFCF) and hence its energy footprint (booklet page 17)

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    5. Calibrate relationships (time-dependent coefficients) according to historical data: 1990-2012

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    Jobs

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    year

    Jobs in manufacturing

    historical

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    me

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    Volume output of manufacturing

    historical

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    t bas

    ic p

    rices

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    Jobs per unit output

    historical

    extrapolation

    asymptote

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    6. Configure dynamic system and run forward for BAU scenario (business-as-usual; exploratory rather than normative)

    1. Extrapolate all time-dependent coefficients. 2. Final demand for services adjusted for an unemployment level of 6%.

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    Unemployment

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    model - BAU

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    wth

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    er y

    ear)

    year

    Growth in GDP

    historical

    model - BAU

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    Indirect Energy example: testing a policy of accelerated installation of offshore wind over 2016-2035

    Photo: Nysted Offshore Wind Farm

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    erat

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    year

    Generating capacity of offshore wind

    model - BAU

    3,000 MW/y in 2025 a highly feasible scenario (Pyry Report)

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    erat

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    Generating capacity of offshore wind

    model - policy

    model - BAU

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    Accelerated installation requires more GFCF, which is diverted from final consumption (booklet p17)

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    vol

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    m[1

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    /y)

    year

    Investment (GFCF)

    model - BAU

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    m[1

    990]

    /y)

    year

    Investment (GFCF)

    model - policy

    model - BAU

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    Indirect Energy example: consumed, output and payback period

    Turquoise line annual increase in output of offshore wind generation

    Grey dashed line energy payback

    Purple line - energy consumed in construction (derived from tracing GFCF back via intermediate consumption to industries use of energy)

    -2.0

    -1.6

    -1.2

    -0.8

    -0.4

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    0.8

    1.2

    1.6

    -100

    -80

    -60

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    gy p

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    d en

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    Investment energy required for energy output from offshore wind

    output change (PJ/y)energy consumed (PJ/y)payback period (y)

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    Sub-year energy payback means total weighted energy is barely changed, while CO2 emissions are reduced

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    Total weighted energy

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    model - policy

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    CO2 emissions

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    model - policy

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    Messages

    1. For Indirect Energy, can use the (weighted) energy footprint of Gross Fixed Capital Formation (GFCF).

    2. The 7see model enables proposals to be set in an economic context, familiar to national policy and decision makers.

    3. Explore the 7see-GB model in Vensim by requesting a copy from [email protected], +44 (0)20 7755 2906.

    Vensim

    The Energy-Economy System- extending NEA to the policy-testing framework of 7see(see www.arup.com/gdp for the Sankey diagram booklet)A slightly different way of looking at NEA: the 7see approachDirect Energy for UK oil & gas extraction: 2.8% rising to 5.5%Key aspects of the 7see approach (references to the Sankey diagram booklet)1. The boxes:Fixed Capital (FC) basis of economy (booklet page 10)2. Boxes and their arrows:inputs and output for each type of Fixed Capital (FC)3. Supply shortfall is the feedback (a dynamic system) via Fixed Capital Formation (FCF) to FC, and thus supply4. Source of Gross Fixed Capital Formation (GFCF) and hence its energy footprint (booklet page 17)5. Calibrate relationships (time-dependent coefficients) according to historical data: 1990-20126. Configure dynamic system and run forward for BAU scenario (business-as-usual; exploratory rather than normative)Indirect Energy example: testing a policy of accelerated installation of offshore wind over 2016-2035Accelerated installation requires more GFCF, which is diverted from final consumption (booklet p17)Indirect Energy example: consumed, output and payback periodSub-year energy payback means total weighted energy is barely changed, while CO2 emissions are reducedMessages