Development of a decision aiding framework for energy infrastructure siting
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Development of a Decision Aiding Framework For Energy Infrastructure Siting. Ganesh Doluweera & Joule Bergerson Institute for Sustainable Energy, Environment and Economy, University of Calgary. 32 nd USAEE/IAEE North American Energy Economics Conference July 30, 2013. Motivation.

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Development of a decision aiding framework for energy infrastructure siting

Development of a Decision Aiding Framework For Energy Infrastructure Siting

Ganesh Doluweera & Joule Bergerson

Institute for Sustainable Energy, Environment and Economy, University of Calgary

32nd USAEE/IAEE North American Energy Economics Conference

July 30, 2013


Motivation
Motivation Infrastructure Siting

  • Demand for new energy infrastructure is growing

    • rising energy demand, ageing infrastructure and environmental concerns

  • Siting energy infrastructure is a complex process that involves multiple stakeholders with multiple and conflicting objectives

  • In recent years, siting energy infrastructure has become increasingly difficult

    • one reason is oversimplification of stakeholder complexities


Research objective
Research Objective Infrastructure Siting

  • Develop a framework to construct alternative siting options

  • This framework has more complete incorporation of stakeholder objectives

  • Developed by combining energy system modeling with decision analysis techniques


Current practice
Current Practice Infrastructure Siting


Proposed framework
Proposed Framework Infrastructure Siting

Consequence tables

Preference structure and rankings


Case study
Case Study Infrastructure Siting

  • Selection of a route for an electricity transmission line in Alberta, Canada

  • Decision makers’ objective: Select the transmission line route that is in public’s best interest

Focus on an approximately 100km section of EATL

(Andrew-Holden section)

Eastern Alberta Transmission Line (EATL)

(500kV HVDC; ̴ 500km)


Methods stakeholder objectives
Methods: Stakeholder Objectives Infrastructure Siting

  • Minimize Residential and property value impacts

    • Minimize the proximity to residential properties

    • Avoid densely populated areas (Urban areas)

  • Minimize Environmental impacts

    • Minimize river and water body crossings

    • Minimize proximity to environmentally sensitive areas

    • Avoid highly sensitive ecosystems

  • Optimize economic and engineering factors

    • Parallel existing linear disturbances (roads, power lines)

    • Minimize cropland disturbances

    • Minimize building on high slopes (terrain features)

    • Minimize cost


Methods system model
Methods: System Model Infrastructure Siting

[1,2]

  • Stakeholder objectives (ie. xi) and preferences (ie. Vi(∙) and wj) are inferred using transcripts of EATL regulatory hearings

References:

Gregory R, Failing L, Harstone M, Long G, McDaniels T, Ohlson D. Structured Decision Making: A Practical Guide to Environmental Management Choices. Chichester, UK: Wiley-Blackwell; 2012.

Keeney RL. Utility Functions for Multiattributed Consequences. Management Science. 1972; 18:276-87.


Methods system model1
Methods: System Model Infrastructure Siting

  • A geographic information system (GIS) model

  • In each cell, magnitude of the combined value function is calculated

  • Using least cost path selection algorithms, combination of cells that forms the least cost path is identified


Illustrative results
Illustrative Results Infrastructure Siting



Alternative route option 1 project proponent (ATCO Electric)

All high level objectives are weighted equally

(W_res = W_env = W_eng)


Alternative route option 2 project proponent (ATCO Electric)

Preference for minimizing residential impacts is twice as that of other high level objectives

(W_res = 2W_env = 2W_eng)


Alternative route option 3 project proponent (ATCO Electric)

Preference for minimizing environmental impacts is twice as that of other high level objectives

(W_env= 2W_res= 2W_eng)


An Example of Tradeoff Analysis project proponent (ATCO Electric)


Conclusions
Conclusions project proponent (ATCO Electric)

  • Our proposed framework inherently takes the multiple stakeholder objectives into account

  • The framework provides the decision maker a set of alternatives and information about their consequences

  • The case study demonstrated the application of the framework and the insights that can be obtained

    • spatial impact of decisions

    • information to facilitate trade-off analysis


Next steps
Next Steps project proponent (ATCO Electric)

  • Incorporate uncertainty analysis

    • data limitations and uncertainties

    • value judgments

  • Extend to a larger framework

    • full stakeholder engagement

    • tradeoff analysis

  • Extend to other energy system decisions


Thank you
Thank you project proponent (ATCO Electric)

Ganesh Doluweera [email protected]


Supplementary information
Supplementary Information project proponent (ATCO Electric)


System model
System Model project proponent (ATCO Electric)


Results consequence table
Results – Consequence Table project proponent (ATCO Electric)


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