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Review of Energy Portfolio Optimization in Energy Markets Considering Flexibility of Power-to-X

Author

Listed:
  • Nicolai Lystbæk

    (SDU Center of Energy Informatics, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, 5230 Odense, Denmark)

  • Mikkel Gregersen

    (SDU Center of Energy Informatics, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, 5230 Odense, Denmark)

  • Hamid Reza Shaker

    (SDU Center of Energy Informatics, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, 5230 Odense, Denmark)

Abstract

Power-to-X is one of the most attention-grabbing topics in the energy sector. Researchers are exploring the potential of harnessing power from renewable technologies and converting it into fuels used in various industries and the transportation sector. With the current market and research emphasis on Power-to-X and the accompanying substantial investments, a review of Power-to-X is becoming essential. Optimization will be a crucial aspect of managing an energy portfolio that includes Power-to-X and electrolysis systems, as the electrolyzer can participate in multiple markets. Based on the current literature and published reviews, none of them adequately showcase the state-of-the-art optimization algorithms for energy portfolios focusing on Power-to-X. Therefore, this paper provides an in-depth review of the optimization algorithms applied to energy portfolios with a specific emphasis on Power-to-X, aiming to uncover the current state-of-the-art in the field.

Suggested Citation

  • Nicolai Lystbæk & Mikkel Gregersen & Hamid Reza Shaker, 2023. "Review of Energy Portfolio Optimization in Energy Markets Considering Flexibility of Power-to-X," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4422-:d:1085057
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    References listed on IDEAS

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    1. Jin Zhang, 2021. "Response to Letter to the Editor: Zhang, J. (2021)," The American Statistician, Taylor & Francis Journals, vol. 75(4), pages 458-458, October.
    2. Ana L. Santos & Maria-João Cebola & Diogo M. F. Santos, 2021. "Towards the Hydrogen Economy—A Review of the Parameters That Influence the Efficiency of Alkaline Water Electrolyzers," Energies, MDPI, vol. 14(11), pages 1-35, May.
    3. Hasankhani, Arezoo & Hakimi, Seyed Mehdi, 2021. "Stochastic energy management of smart microgrid with intermittent renewable energy resources in electricity market," Energy, Elsevier, vol. 219(C).
    4. Roh, Kosan & Brée, Luisa C. & Perrey, Karen & Bulan, Andreas & Mitsos, Alexander, 2019. "Flexible operation of switchable chlor-alkali electrolysis for demand side management," Applied Energy, Elsevier, vol. 255(C).
    5. Jeong, Minsoo & You, Jung S., 2022. "Estimating the economic costs of nuclear power plant outages in a regulated market using a latent factor model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    6. Heydari, Azim & Majidi Nezhad, Meysam & Pirshayan, Elmira & Astiaso Garcia, Davide & Keynia, Farshid & De Santoli, Livio, 2020. "Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm," Applied Energy, Elsevier, vol. 277(C).
    7. Waseem, Muhammad & Lin, Zhenzhi & Liu, Shengyuan & Zhang, Zhi & Aziz, Tarique & Khan, Danish, 2021. "Fuzzy compromised solution-based novel home appliances scheduling and demand response with optimal dispatch of distributed energy resources," Applied Energy, Elsevier, vol. 290(C).
    8. Apostolou, Dimitrios, 2020. "Optimisation of a hydrogen production – storage – re-powering system participating in electricity and transportation markets. A case study for Denmark," Applied Energy, Elsevier, vol. 265(C).
    Full references (including those not matched with items on IDEAS)

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