IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v342y2026ics0360544225053022.html

Fused portfolio optimization for harnessing marine renewable energy resources

Author

Listed:
  • Maceda, Mary
  • Miller, Rob
  • de Faria, Victor A.D.
  • Bryant, Matthew
  • Vermillion, Chris
  • de Queiroz, Anderson R.

Abstract

Offshore wind and marine hydrokinetic energy are underutilized energy resources. Efficiently exploiting these energy resources requires the identification of optimal deployment locations and optimal designs for offshore energy harvesting devices. These devices have the potential to be deployed in tandem such that the suite of devices consistently saturates a given power transmission system. To better understand the economic viability of harvesting marine renewable energy, a portfolio optimization is presented here. Portfolio optimization frameworks help to identify optimal deployment maps for energy-harvesting devices in a given domain and unify solutions of resource, technical performance, transmission, and cost model sub-problems into a unique and comprehensive tool. These frameworks select the energy-harvesting device designs in advance. This work proposes a portfolio optimization framework combined with optimal device design, sizing, and selection to enable a more realistic energy depiction that is beneficial to stakeholders. By maximizing power sent back to shore subject to a constraint on the levelized cost of energy, the algorithm creates an optimal mapping of devices that produces the maximum transmittable power and stabilizes portfolio variability in a cost-effective manner. Any reliably modeled offshore energy-harvesting device can be used within this framework. In this work, wind turbines and marine hydrokinetic kites are selected as a case study considering they are leading technologies for harvesting their respective energies. Results from this case study demonstrate optimal portfolios of devices for a location off the coast of North Carolina and show the utility of fusing device design optimization with the portfolio optimization.

Suggested Citation

  • Maceda, Mary & Miller, Rob & de Faria, Victor A.D. & Bryant, Matthew & Vermillion, Chris & de Queiroz, Anderson R., 2026. "Fused portfolio optimization for harnessing marine renewable energy resources," Energy, Elsevier, vol. 342(C).
  • Handle: RePEc:eee:energy:v:342:y:2026:i:c:s0360544225053022
    DOI: 10.1016/j.energy.2025.139660
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225053022
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.139660?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Pinheiro Neto, Daywes & Domingues, Elder Geraldo & Coimbra, António Paulo & de Almeida, Aníbal Traça & Alves, Aylton José & Calixto, Wesley Pacheco, 2017. "Portfolio optimization of renewable energy assets: Hydro, wind, and photovoltaic energy in the regulated market in Brazil," Energy Economics, Elsevier, vol. 64(C), pages 238-250.
    2. Muhammed Zafar Ali Khan & Haider Ali Khan & Muhammad Aziz, 2022. "Harvesting Energy from Ocean: Technologies and Perspectives," Energies, MDPI, vol. 15(9), pages 1-43, May.
    3. Faria, Victor A.D. & Rodrigo de Queiroz, Anderson & DeCarolis, Joseph F., 2023. "Scenario generation and risk-averse stochastic portfolio optimization applied to offshore renewable energy technologies," Energy, Elsevier, vol. 270(C).
    4. Li, Binghui & de Queiroz, Anderson Rodrigo & DeCarolis, Joseph F. & Bane, John & He, Ruoying & Keeler, Andrew G. & Neary, Vincent S., 2017. "The economics of electricity generation from Gulf Stream currents," Energy, Elsevier, vol. 134(C), pages 649-658.
    5. Sun, Xiaojing & Huang, Diangui & Wu, Guoqing, 2012. "The current state of offshore wind energy technology development," Energy, Elsevier, vol. 41(1), pages 298-312.
    6. de Faria, Victor A.D. & de Queiroz, Anderson R. & DeCarolis, Joseph F., 2022. "Optimizing offshore renewable portfolios under resource variability," Applied Energy, Elsevier, vol. 326(C).
    7. Seyedeh Asra Ahmadi & Seyed Mojtaba Mirlohi & Mohammad Hossein Ahmadi & Majid Ameri, 2021. "Portfolio optimization of power plants by using renewable energy in Iran [Energy, exergy analysis and optimization of solar thermal power plant with adding heat and water recovery system]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(2), pages 463-475.
    8. Trevisi, Filippo & McWilliam, Michael & Gaunaa, Mac, 2021. "Configuration optimization and global sensitivity analysis of Ground-Gen and Fly-Gen Airborne Wind Energy Systems," Renewable Energy, Elsevier, vol. 178(C), pages 385-402.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Faria, Victor A.D. & Rodrigo de Queiroz, Anderson & DeCarolis, Joseph F., 2023. "Scenario generation and risk-averse stochastic portfolio optimization applied to offshore renewable energy technologies," Energy, Elsevier, vol. 270(C).
    2. Wang, Zhenni & Tan, Qiaofeng & Wen, Xin & Su, Huaying & Fang, Guohua & Wang, Hao, 2025. "Capacity optimization of retrofitting cascade hydropower plants with pumping stations for renewable energy integration: A case study," Applied Energy, Elsevier, vol. 377(PC).
    3. Arvesen, Ø. & Medbø, V. & Fleten, S.-E. & Tomasgard, A. & Westgaard, S., 2013. "Linepack storage valuation under price uncertainty," Energy, Elsevier, vol. 52(C), pages 155-164.
    4. Mandar Phadnis & Lucy Pao, 2025. "Lyapunov-Based Framework for Platform Motion Control of Floating Offshore Wind Turbines," Energies, MDPI, vol. 18(15), pages 1-21, July.
    5. Fernando deLlano-Paz & Juan José Cartelle-Barros & Paulino Martínez-Fernández, 2024. "Application of modern portfolio theory to the European electricity mix: an assessment of environmentally optimal scenarios," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(6), pages 15001-15029, June.
    6. Gao, Xiaoxia & Yang, Hongxing & Lu, Lin, 2014. "Study on offshore wind power potential and wind farm optimization in Hong Kong," Applied Energy, Elsevier, vol. 130(C), pages 519-531.
    7. Tsarknias, Nikolaos & Friis-Møller, Mikkel & Clausen, Niels-Erik, 2025. "Optimizing the layout of floating wind farms in Crete: A combined LCOE and visual impact minimization," Energy, Elsevier, vol. 337(C).
    8. Chenglong Guo & Wanan Sheng & Dakshina G. De Silva & George Aggidis, 2023. "A Review of the Levelized Cost of Wave Energy Based on a Techno-Economic Model," Energies, MDPI, vol. 16(5), pages 1-30, February.
    9. Razi, P. & Ramaprabhu, P. & Tarey, P. & Muglia, M. & Vermillion, C., 2022. "A low-order wake interaction modeling framework for the performance of ocean current turbines under turbulent conditions," Renewable Energy, Elsevier, vol. 200(C), pages 1602-1617.
    10. Wang, Xuefei & Zeng, Xiangwu & Li, Xinyao & Li, Jiale, 2019. "Investigation on offshore wind turbine with an innovative hybrid monopile foundation: An experimental based study," Renewable Energy, Elsevier, vol. 132(C), pages 129-141.
    11. Castro-Santos, Laura & Martins, Elson & Guedes Soares, C., 2017. "Economic comparison of technological alternatives to harness offshore wind and wave energies," Energy, Elsevier, vol. 140(P1), pages 1121-1130.
    12. Jijian Lian & Yue Zhao & Chong Lian & Haijun Wang & Xiaofeng Dong & Qi Jiang & Huan Zhou & Junni Jiang, 2018. "Application of an Eddy Current-Tuned Mass Damper to Vibration Mitigation of Offshore Wind Turbines," Energies, MDPI, vol. 11(12), pages 1-18, November.
    13. Castro-Santos, Laura & Martins, Elson & Guedes Soares, C., 2016. "Cost assessment methodology for combined wind and wave floating offshore renewable energy systems," Renewable Energy, Elsevier, vol. 97(C), pages 866-880.
    14. Satir, Mert & Murphy, Fionnuala & McDonnell, Kevin, 2018. "Feasibility study of an offshore wind farm in the Aegean Sea, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2552-2562.
    15. Adriano Silva Bastos & Tâmara Rita Costa de Souza & Dieimys Santos Ribeiro & Mirian de Lourdes Noronha Motta Melo & Carlos Barreira Martinez, 2023. "Wave Energy Generation in Brazil: A Georeferenced Oscillating Water Column Inventory," Energies, MDPI, vol. 16(8), pages 1-24, April.
    16. Baisthakur, Shubham & Fitzgerald, Breiffni, 2024. "Physics-Informed Neural Network surrogate model for bypassing Blade Element Momentum theory in wind turbine aerodynamic load estimation," Renewable Energy, Elsevier, vol. 224(C).
    17. Karimirad, Madjid & Michailides, Constantine, 2015. "V-shaped semisubmersible offshore wind turbine: An alternative concept for offshore wind technology," Renewable Energy, Elsevier, vol. 83(C), pages 126-143.
    18. Jung, Seunghoon & Jeoung, Jaewon & Kang, Hyuna & Hong, Taehoon, 2021. "Optimal planning of a rooftop PV system using GIS-based reinforcement learning," Applied Energy, Elsevier, vol. 298(C).
    19. Anderson Mitterhofer Iung & Fernando Luiz Cyrino Oliveira & André Luís Marques Marcato, 2023. "A Review on Modeling Variable Renewable Energy: Complementarity and Spatial–Temporal Dependence," Energies, MDPI, vol. 16(3), pages 1-24, January.
    20. Jijian Lian & Ou Cai & Xiaofeng Dong & Qi Jiang & Yue Zhao, 2019. "Health Monitoring and Safety Evaluation of the Offshore Wind Turbine Structure: A Review and Discussion of Future Development," Sustainability, MDPI, vol. 11(2), pages 1-29, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:342:y:2026:i:c:s0360544225053022. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.