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Wir schaffen Wissen – heute für morgen

LCA XIV, 6 October 2014

Development of a New Methodology for the Integration of LCA and Energy-Economic System Modelling

Kathrin Volkart (Paul Scherrer Institut, Switzerland)

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Motivation

• In energy systems analysis, life cycle assessment (LCA) provides detailed environmental assessment of single energy technologies and services

But: what about the system the energy technologies are embedded in?

– Potentials and constraints on the technologies – Development of the technologies over time – Changes in the energy mixes over time – Costs of the technologies

Questions:

– How can LCA be applied on a system level?

– How can temporal developments be integrated in LCA?

– How can economic aspects be taken into account?

→ Integration of LCA and energy-economic system models (EEM)...?

http://www.theguardian.comhttp://geology.comhttp://www.duden.dehttp://skypoweraz.com

(3)

Developing, quantifying and analyzing scenarios of energy systems

Global

– All energy sectors – All energy resources

Multi-regional – 15 world regions

– Trade (not for electricity)

MARKAL (MARKet-ALlocation) – Technology rich (> 400)

– Bottom-up

– Long-term modelling (2010 - 2100) – Partial-equilibrium (“supply allocation”) – Least cost optimization

(Total discounted system costs)

EEM EEM: GMM model

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LCA

Environmental assessment of single technologies and services

1) Goal and scope definition

• System boundary

• Functional unit 2) Life-cycle inventory

• Data collection

3) Life-cycle impact assessment

• Determination of the impact of the product or service 4) Interpretation

• Assessment of the results

ecoinvent database

http://www.ecoinvent.org

LCA: ecoinvent

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Comparison of ecoinvent and the GMM model

ecoinvent Criterion GMM model

single technologies/services System whole energy system

very detailed (~1700 processes)

Technology representation

detailed

(~400 processes) (mainly) current state Temporal resolution explicit consideration of

future time periods (mainly) regional Spatial resolution all world regions

very detailed

(~1000 flows) Environmental aspects potentially detailed (1 flow: CO2)

prices of the products Economic data investment, fixed O&M, variable O&M and CO2 cost

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Goal and expected insights

Goal:

Development of a new methodology for the combination of the system-wide and temporal perspective of energy-economic system models and the detailed (environmental) technology assessment of LCA

Expected insights:

– Integrated and consistent assessments of energy systems – Comprehensive assessment of environmental burdens of the

whole energy system

– Analysis of trade-offs between environmental and economic aspects of energy systems

– Insights on the multitude of impacts from energy policy-making

http://www.theguardian.comhttp://geology.comhttp://www.duden.dehttp://skypoweraz.com

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Current state of the GMM model

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Proposed approach

Integrating the information that is available in ecoinvent in the GMM model

ecoinvent GMM model

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The integration of ecoinvent and the GMM model requires several steps

• Harmonization of the modelling of the processes & regions

• Implementation of direct environmental burdens of the energy system (example: air emissions of power plants)

Steps of the proposed integration

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Direct environmental burdens

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The integration of the two tools raises issues that need to be addressed

• Harmonization of the modelling of the processes & regions

• Implementation of direct environmental burdens of the energy system (example: air emissions of power plants)

• Implementation of indirect environmental burdens of the energy system (example: silicon resource for the construction of PV cells)

Steps of the proposed integration

(12)

Indirect environmental burdens

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The integration of ecoinvent and the GMM model requires several steps

• Harmonization of the modelling of the processes & regions

• Implementation of direct environmental burdens of the energy system (example: air emissions of power plants)

• Implementation of indirect environmental burdens of the energy system (example: silicon resource for the construction of PV cells)

• Representation of the (endogenous) energy flows

Steps of the proposed integration

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(Endogenous) energy flows

(15)

Environmental burdens of a selected scenario

Current limitations:

• electricity sector only

• complete life-cycle calculation (no separation of the processes in the energy chain)

Exemplary results

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Environmental burdens of a selected scenario

Current limitations:

• electricity sector only

• complete life-cycle calculation (no separation of the processes in the energy chain)

• exogenous (ecoinvent) energy mixes

Exemplary results

(17)

Environmental burdens of a selected scenario

Current limitations:

• electricity sector only

• complete life-cycle calculation (no separation of the processes in the energy chain)

Exemplary results

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First conclusions

• Harmonization of the modelling of the processes & regions Tedious

• Implementation of direct environmental burdens of the energy system Solved (example: air emissions of power plants)

• Implementation of indirect environmental burdens of the energy system Solved (example: silicon resource for the construction of PV cells)

• Representation of the (endogenous) energy flows In progress

Non-cost optimization Solved min(cost) → min(impacts)

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Challenges and Outlook

LCA challenges

– LCI for future technologies

– Future background systems (“future ecoinvent”) – Choice of the LCA system model

Economic challenges

– Discounting of costs vs. discounting of environmental burdens (weighting of impacts across time)

Outlook

– Environmental optimization in the GMM model – Multi-objective optimization in the GMM model

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I would like to thank

Martin Densing, Chris Mutel and Christian Bauer

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