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A multi-objective MILP model for the design and operation of future integrated multi-vector energy networks capturing detailed spatio-temporal dependencies

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  • Samsatli, Sheila
  • Samsatli, Nouri J.

Abstract

A multi-objective optimisation model, based on mixed integer linear programming, is presented that can simultaneously determine the design and operation of any integrated multi-vector energy networks. It can answer variants of the following questions:

Suggested Citation

  • Samsatli, Sheila & Samsatli, Nouri J., 2018. "A multi-objective MILP model for the design and operation of future integrated multi-vector energy networks capturing detailed spatio-temporal dependencies," Applied Energy, Elsevier, vol. 220(C), pages 893-920.
    • Handle: RePEc:eee:appene:v:220:y:2018:i:c:p:893-920
    DOI: 10.1016/j.apenergy.2017.09.055
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    Cited by:

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    8. Olympios, Andreas V. & Pantaleo, Antonio M. & Sapin, Paul & Markides, Christos N., 2020. "On the value of combined heat and power (CHP) systems and heat pumps incentralised and distributed heating systems: Lessons from multi-fidelitymodelling approaches," Applied Energy, Elsevier, vol. 274(C).
    9. Quarton, Christopher J. & Samsatli, Sheila, 2020. "The value of hydrogen and carbon capture, storage and utilisation in decarbonising energy: Insights from integrated value chain optimisation," Applied Energy, Elsevier, vol. 257(C).
    10. Finke, Jonas & Bertsch, Valentin, 2022. "Implementing a highly adaptable method for the multi-objective optimisation of energy systems," MPRA Paper 115504, University Library of Munich, Germany.
    11. Esin Balci & Sezin Balci & Aysun Sofuoglu, 2022. "Multi-purpose reverse logistics network design for medical waste management in a megacity: Istanbul, Turkey," Environment Systems and Decisions, Springer, vol. 42(3), pages 372-387, September.
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    14. Shruthi Patil & Leander Kotzur & Detlef Stolten, 2022. "Advanced Spatial and Technological Aggregation Scheme for Energy System Models," Energies, MDPI, vol. 15(24), pages 1-26, December.
    15. Jarvis, Sean M. & Samsatli, Sheila, 2018. "Technologies and infrastructures underpinning future CO2 value chains: A comprehensive review and comparative analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 85(C), pages 46-68.
    16. Pan, Guangsheng & Gu, Wei & Wu, Zhi & Lu, Yuping & Lu, Shuai, 2019. "Optimal design and operation of multi-energy system with load aggregator considering nodal energy prices," Applied Energy, Elsevier, vol. 239(C), pages 280-295.
    17. Finke, Jonas & Bertsch, Valentin, 2023. "Implementing a highly adaptable method for the multi-objective optimisation of energy systems," Applied Energy, Elsevier, vol. 332(C).
    18. Fesefeldt, M. & Capezzali, M. & Bozorg, M. & de Lapparent, M., 2021. "Evaluation of future scenarios for gas distribution networks under hypothesis of decreasing heat demand in urban zones," Energy, Elsevier, vol. 231(C).
    19. Guido Ala & Ilhami Colak & Gabriella Di Filippo & Rosario Miceli & Pietro Romano & Carla Silva & Stanimir Valtchev & Fabio Viola, 2021. "Electric Mobility in Portugal: Current Situation and Forecasts for Fuel Cell Vehicles," Energies, MDPI, vol. 14(23), pages 1-23, November.
    20. Wang, Lu & Gu, Wei & Wu, Zhi & Qiu, Haifeng & Pan, Guangsheng, 2020. "Non-cooperative game-based multilateral contract transactions in power-heating integrated systems," Applied Energy, Elsevier, vol. 268(C).
    21. Juan C. González Palencia & Yuta Itoi & Mikiya Araki, 2022. "Design of a Hydrogen Production System Considering Energy Consumption, Water Consumption, CO 2 Emissions and Cost," Energies, MDPI, vol. 15(21), pages 1-25, October.
    22. Hosseini, Seyed Hamid Reza & Allahham, Adib & Walker, Sara Louise & Taylor, Phil, 2020. "Optimal planning and operation of multi-vector energy networks: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    23. Ikäheimo, Jussi & Lindroos, Tomi J. & Kiviluoma, Juha, 2023. "Impact of climate and geological storage potential on feasibility of hydrogen fuels," Applied Energy, Elsevier, vol. 342(C).
    24. Farajiamiri, Mina & Meyer, Jörn-Christian & Walther, Grit, 2023. "Multi-objective optimization of renewable fuel supply chains regarding cost, land use, and water use," Applied Energy, Elsevier, vol. 349(C).
    25. Prina, Matteo Giacomo & Casalicchio, Valeria & Kaldemeyer, Cord & Manzolini, Giampaolo & Moser, David & Wanitschke, Alexander & Sparber, Wolfram, 2020. "Multi-objective investment optimization for energy system models in high temporal and spatial resolution," Applied Energy, Elsevier, vol. 264(C).

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