IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v372y2024ics030626192401167x.html

Influence of high-resolution data on accurate curtailment loss estimation and optimal design of hybrid PV–wind power plants

Author

Listed:
  • Klyve, Øyvind Sommer
  • Grab, Robin
  • Olkkonen, Ville
  • Marstein, Erik Stensrud

Abstract

Hybrid photovoltaic (PV) - wind power plants (HyPPs), i.e., where the PV and wind systems are co-located and share the Point of Interconnection (POI) with the grid, have recently attracted more attention. This trend is driven by the expected reduced capital and operational expenditures achieved through, e.g., shared land and POI infrastructure for HyPPs compared to two individual PV and wind installations. However, if the POI is underdimensioned relative to the PV and wind capacities, the generation from either or both of the assets must at times be curtailed, unless mitigated by solutions like energy storage. This curtailment might lead to income losses. Moreover, as HyPPs typically are designed using wind and PV generation data on hourly resolution, the actual curtailment losses can be underestimated. This might in turn lead to HyPP designs which are techno-economically sub-optimal.

Suggested Citation

  • Klyve, Øyvind Sommer & Grab, Robin & Olkkonen, Ville & Marstein, Erik Stensrud, 2024. "Influence of high-resolution data on accurate curtailment loss estimation and optimal design of hybrid PV–wind power plants," Applied Energy, Elsevier, vol. 372(C).
    • Handle: RePEc:eee:appene:v:372:y:2024:i:c:s030626192401167x
    DOI: 10.1016/j.apenergy.2024.123784
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030626192401167X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.123784?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. Mamia, I. & Appelbaum, J., 2016. "Shadow analysis of wind turbines for dual use of land for combined wind and solar photovoltaic power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 713-718.
    2. Antun Meglic & Ranko Goic, 2022. "Impact of Time Resolution on Curtailment Losses in Hybrid Wind-Solar PV Plants," Energies, MDPI, vol. 15(16), pages 1-26, August.
    3. Lindahl, Johan & Lingfors, David & Elmqvist, Åsa & Mignon, Ingrid, 2022. "Economic analysis of the early market of centralized photovoltaic parks in Sweden," Renewable Energy, Elsevier, vol. 185(C), pages 1192-1208.
    4. Lindberg, O. & Lingfors, D. & Arnqvist, J., 2022. "Analyzing the mechanisms behind temporal correlation between power sources using frequency separated time scales: A Swedish case study on PV and wind," Energy, Elsevier, vol. 259(C).
    5. Ana Rita Silva & Ana Estanqueiro, 2022. "From Wind to Hybrid: A Contribution to the Optimal Design of Utility-Scale Hybrid Power Plants," Energies, MDPI, vol. 15(7), pages 1-19, April.
    6. Raymond Byrne & Davide Astolfi & Francesco Castellani & Neil J. Hewitt, 2020. "A Study of Wind Turbine Performance Decline with Age through Operation Data Analysis," Energies, MDPI, vol. 13(8), pages 1-18, April.
    7. Harrison-Atlas, Dylan & Murphy, Caitlin & Schleifer, Anna & Grue, Nicholas, 2022. "Temporal complementarity and value of wind-PV hybrid systems across the United States," Renewable Energy, Elsevier, vol. 201(P1), pages 111-123.
    8. Klyve, Øyvind Sommer & Klæboe, Gro & Nygård, Magnus Moe & Marstein, Erik Stensrud, 2023. "Limiting imbalance settlement costs from variable renewable energy sources in the Nordics: Internal balancing vs. balancing market participation," Applied Energy, Elsevier, vol. 350(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Klyve, Øyvind Sommer & Olkkonen, Ville & Nygård, Magnus Moe & Lingfors, David & Marstein, Erik Stensrud & Lindberg, Oskar, 2025. "Retrofitting wind power plants into hybrid PV–wind power plants: Impact of resource related characteristics on techno-economic feasibility," Applied Energy, Elsevier, vol. 379(C).
    2. Luo, Renjie & Li, Shuxu & Liu, Xuexian & Han, Xutao & Li, Zhiyi, 2026. "Uncertainty-aware demand estimation and market clearing of flexible ramping products in power systems dominated by renewable energy," Renewable Energy, Elsevier, vol. 256(PB).
    3. Superchi, Francesco & Moustakis, Antonis & Pechlivanoglou, George & Bianchini, Alessandro, 2025. "On the importance of degradation modeling for the robust design of hybrid energy systems including renewables and storage," Applied Energy, Elsevier, vol. 377(PD).
    4. Muhammad Ikram & Daryoush Habibi & Asma Aziz, 2025. "Networked Multi-Agent Deep Reinforcement Learning Framework for the Provision of Ancillary Services in Hybrid Power Plants," Energies, MDPI, vol. 18(10), pages 1-34, May.

    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. Klyve, Øyvind Sommer & Olkkonen, Ville & Nygård, Magnus Moe & Lingfors, David & Marstein, Erik Stensrud & Lindberg, Oskar, 2025. "Retrofitting wind power plants into hybrid PV–wind power plants: Impact of resource related characteristics on techno-economic feasibility," Applied Energy, Elsevier, vol. 379(C).
    2. Ghorbani, Narges & Salmelin, Markus & Haakana, Juha & Räisänen, Otto & Nortamo, Nick & Hosseinpour, Nashmin & Bogdanov, Dmitrii & Haapaniemi, Jouni & Lassila, Jukka, 2026. "Assessing the financial viability of PV integration and grid expansion for wind farms," Applied Energy, Elsevier, vol. 406(C).
    3. Hu, Yuyang & Mao, Zhaoyong & Li, Bo & Cheng, Bo & Tian, Wenlong, 2026. "Investigation of the hydrodynamic performance of a novel small moored tidal-current turbine with Banki rotor," Renewable Energy, Elsevier, vol. 256(PH).
    4. Jouttijärvi, Sami & Seppälä, Simeon & Karttunen, Lauri & Ranta, Samuli & Syri, Sanna & Miettunen, Kati, 2026. "Impact of growing national solar power capacity on the profitability of residential solar energy production in northern conditions," Renewable Energy, Elsevier, vol. 260(C).
    5. Qorbanian, Roozbeh & Löhndorf, Nils & Wozabal, David, 2025. "Valuation of power purchase agreements for corporate renewable energy procurement," European Journal of Operational Research, Elsevier, vol. 326(3), pages 530-543.
    6. Davide Astolfi & Raymond Byrne & Francesco Castellani, 2021. "Estimation of the Performance Aging of the Vestas V52 Wind Turbine through Comparative Test Case Analysis," Energies, MDPI, vol. 14(4), pages 1-25, February.
    7. Chen, Yunxiao & Liu, Jinfu & Yu, Daren, 2026. "Unveiling the connotation and significance of wind-solar complementarity from a novel perspective," Renewable Energy, Elsevier, vol. 259(C).
    8. Roozbeh Qorbanian & Nils Lohndorf & David Wozabal, 2024. "Valuation of Power Purchase Agreements for Corporate Renewable Energy Procurement," Papers 2403.08846, arXiv.org.
    9. Arias-Rosales, Andrés & LeDuc, Philip R., 2022. "Shadow modeling in urban environments for solar harvesting devices with freely defined positions and orientations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    10. Klyve, Øyvind Sommer & Klæboe, Gro & Nygård, Magnus Moe & Marstein, Erik Stensrud, 2023. "Limiting imbalance settlement costs from variable renewable energy sources in the Nordics: Internal balancing vs. balancing market participation," Applied Energy, Elsevier, vol. 350(C).
    11. Ilunga Kajila Rice & Hanhua Zhu & Cunquan Zhang & Arnauld Robert Tapa, 2023. "A Hybrid Photovoltaic/Diesel System for Off-Grid Applications in Lubumbashi, DR Congo: A HOMER Pro Modeling and Optimization Study," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    12. Shree Om Bade & Olusegun Stanley Tomomewo & Michael Mann & Johannes Van der Watt & Hossein Salehfar, 2025. "Optimal Sizing and Techno-Economic Evaluation of a Utility-Scale Wind–Solar–Battery Hybrid Plant Considering Weather Uncertainties, as Well as Policy and Economic Incentives, Using Multi-Objective Optimization," Energies, MDPI, vol. 18(13), pages 1-39, July.
    13. Dao, Phong B. & Barszcz, Tomasz & Staszewski, Wieslaw J., 2024. "Anomaly detection of wind turbines based on stationarity analysis of SCADA data," Renewable Energy, Elsevier, vol. 232(C).
    14. Davide Astolfi & Francesco Castellani & Andrea Lombardi & Ludovico Terzi, 2021. "Multivariate SCADA Data Analysis Methods for Real-World Wind Turbine Power Curve Monitoring," Energies, MDPI, vol. 14(4), pages 1-18, February.
    15. Erik Möllerström & Sean Gregory & Aromal Sugathan, 2021. "Improvement of AEP Predictions with Time for Swedish Wind Farms," Energies, MDPI, vol. 14(12), pages 1-12, June.
    16. Yang, Ruiqing & He, Guojin & Yin, Ranyu & Wang, Guizhou & Peng, Xueli & Zhang, Zhaoming & Long, Tengfei & Peng, Yan & Wang, Jianping, 2025. "A large-scale ultra-high-resolution segmentation dataset augmentation framework for photovoltaic panels in photovoltaic power plants based on priori knowledge," Applied Energy, Elsevier, vol. 390(C).
    17. Liu, Guanjun & Wang, Xiaojun & Xu, Yang & Qin, Hui & Jiang, Zheng & Liu, Yaxin & Lu, Jia & Yang, Yuqi & Bao, Zhengfeng & Shen, Qin, 2026. "Long-term optimization operation of hydro-photovoltaic hybrid system considering short-term energy curtailment losses caused by transmission channel capacity limitation," Renewable Energy, Elsevier, vol. 256(PH).
    18. Nadimi, Reza & Goto, Mika, 2025. "Uncertainty reduction in power forecasting of virtual power plant: From day-ahead to balancing markets," Renewable Energy, Elsevier, vol. 238(C).
    19. Hyun-Goo Kim & Jin-Young Kim, 2021. "Analysis of Wind Turbine Aging through Operation Data Calibrated by LiDAR Measurement," Energies, MDPI, vol. 14(8), pages 1-12, April.
    20. Michiel Dhont & Elena Tsiporkova & Veselka Boeva, 2021. "Advanced Discretisation and Visualisation Methods for Performance Profiling of Wind Turbines," Energies, MDPI, vol. 14(19), pages 1-30, September.

    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:appene:v:372:y:2024:i:c:s030626192401167x. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.