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An Integrated Assessment of Super & Smart Grids

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  • Elena Claire Ricci

    (Fondazione Eni Enrico Mattei, Italy)

Abstract

We assess the optimality of investments in power grid innovation, under both technological options of Super and Smart Grids, using the WITCH model in the version that includes Super-Grids. Super Grids allow producing and trading of electricity generated by large scale concentrated solar power (CSP) plants in highly productive areas that are connected to the %demand centres through High Voltage Direct Current (HVDC) cables. We extend the model to include also Smart-Grids that allow: i) to increase the share of renewable power manageable by the power network, ii) to reduce the costs of customer relationships via Smart Meters; iii) residential consumer to generate electricity via micro-photovoltaic plants, and iv) residential consumer to generate virtual electricity via consumption management. We find that it becomes optimal to invest in grid innovation, in order to start gaining the management benefits and taking advantage of consumer generating opportunities (of electricity and “nega-watts”), starting in 2010 and to exploit the increased possible penetration of renewable energy sources from 2035. Long-distance CSP generation becomes optimal only from 2040, and trade from 2050; but it reaches very high shares in the second half of the century, especially when penetration limits are imposed on nuclear power and on carbon capture and storage operations (CCS). On the whole, climate policy costs can be reduced by large percentages, up to 48%, 34%, 24% for the USA, Western Europe, Eastern Europe, respectively, with respect to corresponding scenarios without the grid innovation via Super and Smart Grid option and with limits on nuclear power, CCS, and CSP import. The analysis is then extended to compare these options considering, at least qualitatively, the differentiated impacts on the environment, technology, organization, society, local and national economies and geopolitics.

Suggested Citation

  • Elena Claire Ricci, 2013. "An Integrated Assessment of Super & Smart Grids," Working Papers 2013.84, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2013.84
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    1. Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "WITCH. A World Induced Technical Change Hybrid Model," Working Papers 2006_46, Department of Economics, University of Venice "Ca' Foscari".
    2. Valentina Bosetti, Carlo Carraro, Marzio Galeotti, Emanuele Massetti, Massimo Tavoni, 2006. "A World induced Technical Change Hybrid Model," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 13-38.
    3. Lund, H. & Mathiesen, B.V., 2009. "Energy system analysis of 100% renewable energy systems—The case of Denmark in years 2030 and 2050," Energy, Elsevier, vol. 34(5), pages 524-531.
    4. Neij, Lena, 2008. "Cost development of future technologies for power generation--A study based on experience curves and complementary bottom-up assessments," Energy Policy, Elsevier, vol. 36(6), pages 2200-2211, June.
    5. Massetti, Emanuele & Ricci, Elena Claire, 2013. "An assessment of the optimal timing and size of investments in concentrated solar power," Energy Economics, Elsevier, vol. 38(C), pages 186-203.
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    1. Łukasz Skowron & Olena Chygryn & Marcin Gąsior & Vitaliia Koibichuk & Serhiy Lyeonov & Serhii Drozd & Oleksandr Dluhopolskyi, 2023. "Interconnection between the Dynamic of Growing Renewable Energy Production and the Level of CO 2 Emissions: A Multistage Approach for Modeling," Sustainability, MDPI, vol. 15(12), pages 1-19, June.

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    More about this item

    Keywords

    Smart-Grids; Climate Policy; Integrated Assessment; Renewable Energy; Residential Power Generation; Demand Side Management Concentrated Solar Power; Super-Grids; Electricity Trade;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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