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Optimized phasing of the development of a regional energy system


  • Haikarainen, Carl
  • Pettersson, Frank
  • Saxén, Henrik


With the increase in intermittent renewable energy sources and integration of different energy sectors, energy systems are expected to become more distributed and complex. There are many optimization models for analyzing how the structure and operational conditions such distributed energy systems affect the economic, environmental, and societal frameworks they belong to. These models often give optimal solutions without regard to how the solutions could be reached taking into account a realistic time perspective. This paper describes a mixed-integer linear programming modelling approach that optimizes investments and operation over longer time horizons, evaluating cumulated costs and emissions. As examples, two regional energy systems in different climates are optimized, demonstrating the feasibility of the approach. The model can act as a planning tool or for assessment of different future scenarios where fossil sources or energy are gradually replaced by renewable ones.

Suggested Citation

  • Haikarainen, Carl & Pettersson, Frank & Saxén, Henrik, 2020. "Optimized phasing of the development of a regional energy system," Energy, Elsevier, vol. 206(C).
  • Handle: RePEc:eee:energy:v:206:y:2020:i:c:s0360544220312366
    DOI: 10.1016/

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    References listed on IDEAS

    1. Limpens, Gauthier & Jeanmart, Hervé, 2018. "Electricity storage needs for the energy transition: An EROI based analysis illustrated by the case of Belgium," Energy, Elsevier, vol. 152(C), pages 960-973.
    2. Salehi, Mohammad & Khajehpour, Hossein & Saboohi, Yadollah, 2020. "Extended Energy Return on Investment of multiproduct energy systems," Energy, Elsevier, vol. 192(C).
    3. Moretti, L. & Polimeni, S. & Meraldi, L. & Raboni, P. & Leva, S. & Manzolini, G., 2019. "Assessing the impact of a two-layer predictive dispatch algorithm on design and operation of off-grid hybrid microgrids," Renewable Energy, Elsevier, vol. 143(C), pages 1439-1453.
    4. Flores, Julio R. & Montagna, Jorge M. & Vecchietti, Aldo, 2014. "An optimization approach for long term investments planning in energy," Applied Energy, Elsevier, vol. 122(C), pages 162-178.
    5. Kraan, Oscar & Chappin, Emile & Kramer, Gert Jan & Nikolic, Igor, 2019. "The influence of the energy transition on the significance of key energy metrics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 215-223.
    6. Prina, Matteo Giacomo & Lionetti, Matteo & Manzolini, Giampaolo & Sparber, Wolfram & Moser, David, 2019. "Transition pathways optimization methodology through EnergyPLAN software for long-term energy planning," Applied Energy, Elsevier, vol. 235(C), pages 356-368.
    7. Henrik Lund & Finn Arler & Poul Alberg Østergaard & Frede Hvelplund & David Connolly & Brian Vad Mathiesen & Peter Karnøe, 2017. "Simulation versus Optimisation: Theoretical Positions in Energy System Modelling," Energies, MDPI, Open Access Journal, vol. 10(7), pages 1-1, June.
    8. Liu, Yikui & Wu, Lei & Li, Jie, 2019. "Towards accurate modeling of dynamic startup/shutdown and ramping processes of thermal units in unit commitment problems," Energy, Elsevier, vol. 187(C).
    9. Trainer, Ted, 2018. "Estimating the EROI of whole systems for 100% renewable electricity supply capable of dealing with intermittency," Energy Policy, Elsevier, vol. 119(C), pages 648-653.
    10. Simoes, Sofia & Nijs, Wouter & Ruiz, Pablo & Sgobbi, Alessandra & Thiel, Christian, 2017. "Comparing policy routes for low-carbon power technology deployment in EU – an energy system analysis," Energy Policy, Elsevier, vol. 101(C), pages 353-365.
    11. Poncelet, Kris & Delarue, Erik & Six, Daan & Duerinck, Jan & D’haeseleer, William, 2016. "Impact of the level of temporal and operational detail in energy-system planning models," Applied Energy, Elsevier, vol. 162(C), pages 631-643.
    12. Brouwer, Anne Sjoerd & van den Broek, Machteld & Seebregts, Ad & Faaij, André, 2015. "Operational flexibility and economics of power plants in future low-carbon power systems," Applied Energy, Elsevier, vol. 156(C), pages 107-128.
    13. Han, Seulki & Kim, Jiyong, 2019. "A multi-period MILP model for the investment and design planning of a national-level complex renewable energy supply system," Renewable Energy, Elsevier, vol. 141(C), pages 736-750.
    14. Lund, Henrik & Østergaard, Poul Alberg & Connolly, David & Mathiesen, Brian Vad, 2017. "Smart energy and smart energy systems," Energy, Elsevier, vol. 137(C), pages 556-565.
    15. Howells, Mark & Rogner, Holger & Strachan, Neil & Heaps, Charles & Huntington, Hillard & Kypreos, Socrates & Hughes, Alison & Silveira, Semida & DeCarolis, Joe & Bazillian, Morgan & Roehrl, Alexander, 2011. "OSeMOSYS: The Open Source Energy Modeling System: An introduction to its ethos, structure and development," Energy Policy, Elsevier, vol. 39(10), pages 5850-5870, October.
    16. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    17. Child, Michael & Koskinen, Otto & Linnanen, Lassi & Breyer, Christian, 2018. "Sustainability guardrails for energy scenarios of the global energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 321-334.
    18. Brown, T. & Schlachtberger, D. & Kies, A. & Schramm, S. & Greiner, M., 2018. "Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system," Energy, Elsevier, vol. 160(C), pages 720-739.
    19. Hansen, Kenneth & Breyer, Christian & Lund, Henrik, 2019. "Status and perspectives on 100% renewable energy systems," Energy, Elsevier, vol. 175(C), pages 471-480.
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