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Network Theory Integrated Life Cycle Assessment for an Electric Power System

Author

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  • Heetae Kim

    (Department of Energy Science, Sungkyunkwan University, 440-746 Suwon, Korea)

  • Petter Holme

    (Department of Energy Science, Sungkyunkwan University, 440-746 Suwon, Korea)

Abstract

In this study, we allocate Greenhouse gas (GHG) emissions of electricity transmission to the consumers. As an allocation basis, we introduce energy distance. Energy distance takes the transmission load on the electricity energy system into account in addition to the amount of electricity consumption. As a case study, we estimate regional GHG emissions of electricity transmission loss in Chile. Life cycle assessment (LCA) is used to estimate the total GHG emissions of the Chilean electric power system. The regional GHG emission of transmission loss is calculated from the total GHG emissions. We construct the network model of Chilean electric power grid as an undirected network with 466 nodes and 543 edges holding the topology of the power grid based on the statistical record. We analyze the total annual GHG emissions of the Chilean electricity energy system as 23.07 Mt CO 2-eq . and 1.61 Mt CO 2-eq . for the transmission loss, respectively. The total energy distance for the electricity transmission accounts for 12,842.10 TWh km based on network analysis. We argue that when the GHG emission of electricity transmission loss is estimated, the electricity transmission load should be separately considered. We propose network theory as a useful complement to LCA analysis for the complex allocation. Energy distance is especially useful on a very large-scale electric power grid such as an intercontinental transmission network.

Suggested Citation

  • Heetae Kim & Petter Holme, 2015. "Network Theory Integrated Life Cycle Assessment for an Electric Power System," Sustainability, MDPI, vol. 7(8), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:8:p:10961-10975:d:54004
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    References listed on IDEAS

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    1. Luis E C Rocha & Fredrik Liljeros & Petter Holme, 2011. "Simulated Epidemics in an Empirical Spatiotemporal Network of 50,185 Sexual Contacts," PLOS Computational Biology, Public Library of Science, vol. 7(3), pages 1-9, March.
    2. Harrison, Gareth P. & Maclean, Edward (Ned). J. & Karamanlis, Serafeim & Ochoa, Luis F., 2010. "Life cycle assessment of the transmission network in Great Britain," Energy Policy, Elsevier, vol. 38(7), pages 3622-3631, July.
    3. Gagnon, Luc & Belanger, Camille & Uchiyama, Yohji, 2002. "Life-cycle assessment of electricity generation options: The status of research in year 2001," Energy Policy, Elsevier, vol. 30(14), pages 1267-1278, November.
    4. Stephen P. Borgatti, 2006. "Identifying sets of key players in a social network," Computational and Mathematical Organization Theory, Springer, vol. 12(1), pages 21-34, April.
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    Cited by:

    1. Ivan Merino & Israel Herrera & Hugo Valdés, 2019. "Environmental Assessment of Energy Scenarios for a Low-Carbon Electrical Network in Chile," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    2. Dahlia Byles & Salman Mohagheghi, 2023. "Sustainable Power Grid Expansion: Life Cycle Assessment, Modeling Approaches, Challenges, and Opportunities," Sustainability, MDPI, vol. 15(11), pages 1-25, May.

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