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Strategic energy planning for large-scale energy systems: A modelling framework to aid decision-making

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  • Codina Gironès, Victor
  • Moret, Stefano
  • Maréchal, François
  • Favrat, Daniel

Abstract

Concerns related to climate change and security of energy supply are pushing various countries to make strategic energy planning decisions. This requires the development of energy models to aid decision-making. Large scale energy models are often very complex and use economic optimization to define energy strategies. Thus, they might be black-boxes to public decision-makers. This work aims at overcoming this issue by proposing a new modelling framework, designed to support decision-makers by improving their understanding of the energy system. The goal is to show the effect of the policy and investment decisions on final energy consumption, total cost and environmental impact.

Suggested Citation

  • Codina Gironès, Victor & Moret, Stefano & Maréchal, François & Favrat, Daniel, 2015. "Strategic energy planning for large-scale energy systems: A modelling framework to aid decision-making," Energy, Elsevier, vol. 90(P1), pages 173-186.
    • Handle: RePEc:eee:energy:v:90:y:2015:i:p1:p:173-186
    DOI: 10.1016/j.energy.2015.06.008
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    Cited by:

    1. Paulino Martinez-Fernandez & Fernando deLlano-Paz & Anxo Calvo-Silvosa & Isabel Soares, 2019. "Assessing Renewable Energy Sources for Electricity (RES-E) Potential Using a CAPM-Analogous Multi-Stage Model," Energies, MDPI, vol. 12(19), pages 1-20, September.
    2. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    3. Zhang, Ning & Hu, Zhaoguang & Shen, Bo & He, Gang & Zheng, Yanan, 2017. "An integrated source-grid-load planning model at the macro level: Case study for China's power sector," Energy, Elsevier, vol. 126(C), pages 231-246.
    4. Borasio, M. & Moret, S., 2022. "Deep decarbonisation of regional energy systems: A novel modelling approach and its application to the Italian energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    5. Moret, Stefano & Babonneau, Frédéric & Bierlaire, Michel & Maréchal, François, 2020. "Overcapacity in European power systems: Analysis and robust optimization approach," Applied Energy, Elsevier, vol. 259(C).
    6. Martin Rüdisüli & Sinan L. Teske & Urs Elber, 2019. "Impacts of an Increased Substitution of Fossil Energy Carriers with Electricity-Based Technologies on the Swiss Electricity System," Energies, MDPI, vol. 12(12), pages 1-38, June.
    7. Codina Gironès, Víctor & Moret, Stefano & Peduzzi, Emanuela & Nasato, Marco & Maréchal, François, 2017. "Optimal use of biomass in large-scale energy systems: Insights for energy policy," Energy, Elsevier, vol. 137(C), pages 789-797.
    8. He Huang & DaPeng Liang & Liang Liang & Zhen Tong, 2019. "Research on China’s Power Sustainable Transition Under Progressively Levelized Power Generation Cost Based on a Dynamic Integrated Generation–Transmission Planning Model," Sustainability, MDPI, vol. 11(8), pages 1-21, April.
    9. Shang, Ce & Srinivasan, Dipti & Reindl, Thomas, 2016. "Generation-scheduling-coupled battery sizing of stand-alone hybrid power systems," Energy, Elsevier, vol. 114(C), pages 671-682.
    10. Xavier Rixhon & Gauthier Limpens & Diederik Coppitters & Hervé Jeanmart & Francesco Contino, 2021. "The Role of Electrofuels under Uncertainties for the Belgian Energy Transition," Energies, MDPI, vol. 14(13), pages 1-23, July.
    11. Yu, Wusheng & Clora, Francesco & Costa, Louis & Baudry, Gino, 2021. "Dietary Transitions As Climate Mitigation Measures in Europe: Implications of Supply-Side Responses and Trade Policy Regimes," 2021 Conference, August 17-31, 2021, Virtual 315912, International Association of Agricultural Economists.
    12. Sannamari Pilpola & Vahid Arabzadeh & Jani Mikkola & Peter D. Lund, 2019. "Analyzing National and Local Pathways to Carbon-Neutrality from Technology, Emissions, and Resilience Perspectives—Case of Finland," Energies, MDPI, vol. 12(5), pages 1-22, March.
    13. Plazas-Niño, F.A. & Ortiz-Pimiento, N.R. & Montes-Páez, E.G., 2022. "National energy system optimization modelling for decarbonization pathways analysis: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    14. Copp, David A. & Nguyen, Tu A. & Byrne, Raymond H. & Chalamala, Babu R., 2022. "Optimal sizing of distributed energy resources for planning 100% renewable electric power systems," Energy, Elsevier, vol. 239(PE).
    15. Moret, Stefano & Codina Gironès, Víctor & Bierlaire, Michel & Maréchal, François, 2017. "Characterization of input uncertainties in strategic energy planning models," Applied Energy, Elsevier, vol. 202(C), pages 597-617.
    16. Iulia Stamatescu & Nicoleta Arghira & Ioana Făgărăşan & Grigore Stamatescu & Sergiu Stelian Iliescu & Vasile Calofir, 2017. "Decision Support System for a Low Voltage Renewable Energy System," Energies, MDPI, vol. 10(1), pages 1-15, January.

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