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Economic Impacts of prospective technologies:

Wind case study

Richard Wood, Anders Arvesen

*Corresponding/presenting author:

Industrial Ecology Program, NTNU, 7491, Norway ph: +4773598938, e-mail: richard.wood@ntnu.no,

http://www.ntnu.no/indecol

(2)

Outline of presentation

• Introduction to PROSUITE

• Life Cycle Sustainability Assessment

• Prospective assessment

• Methods: Hybrid LCA in economic IO modelling

• Technology change

• Rebound effects

(3)

Introduction to PROSUITE

• PROSUITE, a four-year project funded in part by the European Commission, gathers 26 scientific, SME and industry partners

• PROSUĐTE will provide tools to assess the economic,

environmental and social dimensions of technologies in a standardized, comprehensive way.

• PROSUITE will develop a coherent, scientifically sound

methodology for the sustainability assessment of current and future technologies, taking into account their entire life cycle. The

PROSUITE tools will be applicable both to well-developed technologies, and to ones that are just emerging.

(4)

Life Cycle Sustainability Assessment

• Broadening LCA:

Environmental +Economic

+Social

(5)

Life Cycle Sustainability Assessment

• Broadening LCA:

Environmental +Economic

+Social

(6)

Life Cycle Sustainability Assessment

• Broadening LCA:

Environmental +Economic

+Social

• Economic

– Life cycle costing (financial) – Employment

– GDP

– Structural change

(7)

Prospective Assessment

• Uncertain futures

• Market development of a technology

• Consequential effects of a new technology

• Functional unit → Macro scale

(8)

Hybrid analysis

Integrated hybrid analysis

integrates LCA information into the economy, affecting the

product value chain of other sectors of the economy

ff fn

nf nn

A A

A A A

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=  

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Hybrid analysis

Integrated hybrid analysis

integrates LCA information into the economy, affecting the

product value chain of other sectors of the economy

ff fn

nf nn

A A

A A A

 

=  

 

Costed Life cycle inventory $/unit

Capital, operational, End of life

LCI (unit/unit)

IO system, adjusted for double counting of product

Use of product (unit/$)

(10)

Impact assessment Technology

description

IOA – economic, social, environmental sectoral

requirements

Scenario forecast:

Hybrid LCA:

Impact assessment

Source: PROSUITE documents: Michael Hauschild (DTU): Particular attention for definition on technology life cycle

(11)

Generic onshore wind farm

Lifetime 20 years Assumed to be representative for all components in the system.

Average load 21.0% Derived from numbers on 2007 global capacity and electricity generation in

Nominal power 2.5 MW Nominal power of one wind turbine.

Number of wind turbines

48 Number of wind turbines in one farm.

Wind farm

components and activities:

ind turbine

ravity-based foundations (reinforced concrete)

nfield cabling

xternal cabling (transmission to existing grid)

igh-voltage transformer

nstallation and decommissioning activities Key characteristics of generic onshore wind farm

(12)

Economic assessment of technology

• Functional unit

– Current state – Scenario

• Full scale implementation

– Market penetration scenario

– Rebound scenario

(13)

Functional unit: Life Cycle

Cost

(14)

Functional Unit results

2.10E-01 2.20E-01 2.30E-01 2.40E-01 2.50E-01

Wind Electricity (generic)

GDP Euro/kWh

GDP Euro/kWh

0.00E+00 5.00E-09 1.00E-08 1.50E-08 2.00E-08 2.50E-08 3.00E-08

Wind Electricity (generic)

Compensation of employees Million Euro/kWh

Compensation of employees Million Euro/kWh

2.30E-08 2.40E-08 2.50E-08 2.60E-08 2.70E-08

Wind Electricity (generic)

Fixed capital consumption Million Euro/kWh

Fixed capital consumption Million Euro/kWh

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Wind Electricity (generic)

Economy wide

Employment by skill level share

High skilled Medium skilled Low skilled

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Scenario-based LCA: Methodology

• Scaling unit-based findings to estimate aggregated impacts (global)

– Time-series modeling

• Investigating ‘BLUE’ scenarios of IEA

– BLUE Map: Share of wind in electricity 2050: 12%

– BLUE hi REN: Share of wind in electricity 2050: 22%

Renewable power in BLUE Map scenario:

(16)

• Replacement of wind energy systems after 20 years

• Incorporate temporal distribution of emissions

– Construction emissions: prior to operating lifetime – O&M emissions: distributed over operating lifetime – Avoided emissions: distributed over operating lifetime – EOL emissions: after the operating lifetime

Scenario-based LCA: Methodology, cont.

2007

Baseline 2050

BLUE Map 2050

BLUE hi REN Global electricity production from wind power (TWh) 173 2149 4916 8193

Share of renewables in electricity production (%) 18 22 48 75

Share of wind in electricity production (%) 0.9 4.7 12.2 21.8

Average generation cost increase from Baseline (2050) (%) 19 31

Total energy-related CO2emissions (Gt/yr) 28.9 57.0 14.0 12.9

Selected characteristics of IEA’s Baseline, BLUE Map, and BLUE hi REN energy scenarios

(17)

Functional unit results,

projection

(18)

Scenario results – full scale implementation

• Economic projection, etc

(19)

Rebound effect

• Elasticity of electricity demand:

– 0.7 to 0.9 (long range from literature)

• A 1% change in volume requires a change in

price of ~1.4 to 1.1%

(20)

IEA Scenarios

Baseline Blue Map Blue Hi Ren

PWh 46 186 40 137 37 656

Volume change 13.1% 18.5%

Price change Elasticity

0.7 19% 26%

0.8 16% 23%

0.9 15% 21%

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Normalised results

(22)

Conclusion

• Investigating future impacts of a technology requires understanding of:

– Technological change in background data – Consequential effects: Consumption change

• Wind power

– Significant reduction in impacts at the functional unit level (~20% over 50 years)

– Rebound likely to result in increased impact on

economic indicators than CO

2

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