IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v382y2025ics0306261924026412.html
   My bibliography  Save this article

How energy strategies are shaped by the correlation of uncertainties

Author

Listed:
  • Rodriguez-Matas, Antonio F.
  • Ruiz, Carlos
  • Linares, Pedro
  • Perez-Bravo, Manuel

Abstract

In the face of the global climate crisis, countries worldwide are striving for a shift in their energy systems from fossil fuels to renewable energy sources. This complex energy transition faces significant uncertainties, which must be addressed correctly to produce resilient and reliable investment strategies. This study systematically incorporates, for the first time, the correlation between uncertainties into a strategic energy planning model, in order to determine robust and consistent decarbonization strategies. Using the Spanish energy system as a real-size case study, we assess the impact of accounting for the correlations between primary energy prices and energy technology investment costs on strategic energy decisions. Our results reveal that decarbonization strategies significantly vary with the degree of correlation, and hence not accounting correctly for it may result in significant errors. When compared to the uncorrelated baseline scenario, a positive correlation results in increased fossil fuel use and reduced renewable deployment, whereas a negative correlation leads to higher renewable deployment and electrification.

Suggested Citation

  • Rodriguez-Matas, Antonio F. & Ruiz, Carlos & Linares, Pedro & Perez-Bravo, Manuel, 2025. "How energy strategies are shaped by the correlation of uncertainties," Applied Energy, Elsevier, vol. 382(C).
  • Handle: RePEc:eee:appene:v:382:y:2025:i:c:s0306261924026412
    DOI: 10.1016/j.apenergy.2024.125257
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924026412
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.125257?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Yu, L. & Xiao, Y. & Jiang, S. & Li, Y.P. & Fan, Y.R. & Huang, G.H. & Lv, J. & Zuo, Q.T. & Wang, F.Q., 2020. "A copula-based fuzzy interval-random programming approach for planning water-energy nexus system under uncertainty," Energy, Elsevier, vol. 196(C).
    2. Zhang, Dayong & Wang, Tiantian & Shi, Xunpeng & Liu, Jia, 2018. "Is hub-based pricing a better choice than oil indexation for natural gas? Evidence from a multiple bubble test," Energy Economics, Elsevier, vol. 76(C), pages 495-503.
    3. Gracceva, Francesco & Zeniewski, Peter, 2013. "Exploring the uncertainty around potential shale gas development – A global energy system analysis based on TIAM (TIMES Integrated Assessment Model)," Energy, Elsevier, vol. 57(C), pages 443-457.
    4. Benedict Probst & Simon Touboul & Matthieu Glachant & Antoine Dechezleprêtre, 2021. "Global trends in the invention and diffusion of climate change mitigation technologies," Nature Energy, Nature, vol. 6(11), pages 1077-1086, November.
    5. Yin, Mingjia & Li, Kang & Yu, James, 2022. "A data-driven approach for microgrid distributed generation planning under uncertainties," Applied Energy, Elsevier, vol. 309(C).
    6. Shang, Wen-Long & Ling, Yantao & Ochieng, Washington & Yang, Linchuan & Gao, Xing & Ren, Qingzhong & Chen, Yilin & Cao, Mengqiu, 2024. "Driving forces of CO2 emissions from the transport, storage and postal sectors: A pathway to achieving carbon neutrality," Applied Energy, Elsevier, vol. 365(C).
    7. Liu, Zhengguang & Guo, Zhiling & Chen, Qi & Song, Chenchen & Shang, Wenlong & Yuan, Meng & Zhang, Haoran, 2023. "A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives," Energy, Elsevier, vol. 263(PE).
    8. Aghahosseini, Arman & Solomon, A.A. & Breyer, Christian & Pregger, Thomas & Simon, Sonja & Strachan, Peter & Jäger-Waldau, Arnulf, 2023. "Energy system transition pathways to meet the global electricity demand for ambitious climate targets and cost competitiveness," Applied Energy, Elsevier, vol. 331(C).
    9. Huang, Yun-Hsun & Wu, Jung-Hua & Hsu, Yu-Ju, 2016. "Two-stage stochastic programming model for the regional-scale electricity planning under demand uncertainty," Energy, Elsevier, vol. 116(P1), pages 1145-1157.
    10. A. Ben-Tal & A. Nemirovski, 1998. "Robust Convex Optimization," Mathematics of Operations Research, INFORMS, vol. 23(4), pages 769-805, November.
    11. Mu, Yunfei & Wang, Congshan & Cao, Yan & Jia, Hongjie & Zhang, Qingzhu & Yu, Xiaodan, 2022. "A CVaR-based risk assessment method for park-level integrated energy system considering the uncertainties and correlation of energy prices," Energy, Elsevier, vol. 247(C).
    12. Oliver Ruhnau & Clemens Stiewe & Jarusch Muessel & Lion Hirth, 2023. "Natural gas savings in Germany during the 2022 energy crisis," Nature Energy, Nature, vol. 8(6), pages 621-628, June.
    13. Dimitris Bertsimas & Melvyn Sim, 2004. "The Price of Robustness," Operations Research, INFORMS, vol. 52(1), pages 35-53, February.
    14. Zhang, Shenxi & Cheng, Haozhong & Li, Ke & Tai, Nengling & Wang, Dan & Li, Furong, 2018. "Multi-objective distributed generation planning in distribution network considering correlations among uncertainties," Applied Energy, Elsevier, vol. 226(C), pages 743-755.
    15. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Dynamic frequency relationships and volatility spillovers in natural gas, crude oil, gas oil, gasoline, and heating oil markets: Implications for portfolio management," Resources Policy, Elsevier, vol. 73(C).
    16. Benedict Probst & Simon Touboul & Matthieu Glachant & Antoine Dechezleprêtre, 2021. "Global Trends in the Innovation and Diffusion of Climate Change Mitigation Technologies," Working Papers hal-03190012, HAL.
    17. John Barrett & Steve Pye & Sam Betts-Davies & Oliver Broad & James Price & Nick Eyre & Jillian Anable & Christian Brand & George Bennett & Rachel Carr-Whitworth & Alice Garvey & Jannik Giesekam & Greg, 2022. "Energy demand reduction options for meeting national zero-emission targets in the United Kingdom," Nature Energy, Nature, vol. 7(8), pages 726-735, August.
    18. Wenshi Wang & Houqi Dong & Yangfan Luo & Changhao Zhang & Bo Zeng & Fuqiang Xu & Ming Zeng, 2021. "An Interval Optimization-Based Approach for Electric–Heat–Gas Coupled Energy System Planning Considering the Correlation between Uncertainties," Energies, MDPI, vol. 14(9), pages 1-24, April.
    19. Hansen, Kenneth & Mathiesen, Brian Vad & Skov, Iva Ridjan, 2019. "Full energy system transition towards 100% renewable energy in Germany in 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 1-13.
    20. Moret, Stefano & Codina Gironès, Víctor & Bierlaire, Michel & Maréchal, François, 2017. "Characterization of input uncertainties in strategic energy planning models," Applied Energy, Elsevier, vol. 202(C), pages 597-617.
    21. Rodriguez-Matas, Antonio F. & Linares, Pedro & Perez-Bravo, Manuel & Romero, Jose Carlos, 2024. "Improving robustness in strategic energy planning: A novel decision support method to deal with epistemic uncertainties," Energy, Elsevier, vol. 292(C).
    22. Zhao, Xiaohu & Huang, Guohe & Lu, Chen & Zhou, Xiong & Li, Yongping, 2020. "Impacts of climate change on photovoltaic energy potential: A case study of China," Applied Energy, Elsevier, vol. 280(C).
    23. Seleshi G. Yalew & Michelle T. H. van Vliet & David E. H. J. Gernaat & Fulco Ludwig & Ariel Miara & Chan Park & Edward Byers & Enrica De Cian & Franziska Piontek & Gokul Iyer & Ioanna Mouratiadou & Ja, 2020. "Impacts of climate change on energy systems in global and regional scenarios," Nature Energy, Nature, vol. 5(10), pages 794-802, October.
    24. Lei, Yang & Wang, Dan & Jia, Hongjie & Chen, Jingcheng & Li, Jingru & Song, Yi & Li, Jiaxi, 2020. "Multi-objective stochastic expansion planning based on multi-dimensional correlation scenario generation method for regional integrated energy system integrated renewable energy," Applied Energy, Elsevier, vol. 276(C).
    25. Chen, C. & Li, Y.P. & Huang, G.H. & Zhu, Y., 2012. "An inexact robust nonlinear optimization method for energy systems planning under uncertainty," Renewable Energy, Elsevier, vol. 47(C), pages 55-66.
    26. Mei, H. & Li, Y.P. & Suo, C. & Ma, Y. & Lv, J., 2020. "Analyzing the impact of climate change on energy-economy-carbon nexus system in China," Applied Energy, Elsevier, vol. 262(C).
    27. Zhong, Junjie & Cao, Yijia & Li, Yong & Tan, Yi & Peng, Yanjian & Cao, Lihua & Zeng, Zilong, 2021. "Distributed modeling considering uncertainties for robust operation of integrated energy system," Energy, Elsevier, vol. 224(C).
    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. Cheng, Qian & Liu, Pan & Xia, Qian & Cheng, Lei & Ming, Bo & Zhang, Wei & Xu, Weifeng & Zheng, Yalian & Han, Dongyang & Xia, Jun, 2023. "An analytical method to evaluate curtailment of hydro–photovoltaic hybrid energy systems and its implication under climate change," Energy, Elsevier, vol. 278(C).
    2. Makasis, Nikolas & Gu, Xiaoying & Kreitmair, Monika J. & Narsilio, Guillermo A. & Choudhary, Ruchi, 2023. "Geothermal pavements: A city-scale investigation on providing sustainable heating for the city of Cardiff, UK," Renewable Energy, Elsevier, vol. 218(C).
    3. Abel, Dennis & Lieth, Jonas & Jünger, Stefan, 2024. "Mapping the spatial turn in social science energy research. A computational literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 201(C).
    4. Pezalla, Simon & Obringer, Renee, 2023. "Evaluating the household-level climate-electricity nexus across three cities through statistical learning techniques," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    5. de Oliveira, Glauber Cardoso & Bertone, Edoardo & Stewart, Rodney A., 2022. "Optimisation modelling tools and solving techniques for integrated precinct-scale energy–water system planning," Applied Energy, Elsevier, vol. 318(C).
    6. Yang, Ting & Xu, Zheming & Ji, Shijie & Liu, Guoliang & Li, Xinhong & Kong, Haibo, 2025. "Cooperative optimal dispatch of multi-microgrids for low carbon economy based on personalized federated reinforcement learning," Applied Energy, Elsevier, vol. 378(PA).
    7. de Oliveira, Glauber Cardoso & Bertone, Edoardo & Stewart, Rodney A., 2022. "Challenges, opportunities, and strategies for undertaking integrated precinct-scale energy–water system planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    8. Liu, Zhi-Feng & Zhao, Shi-Xiang & Luo, Xing-Fu & Huang, Ya-He & Gu, Rui-Zheng & Li, Ji-Xiang & Li, Ling-Ling, 2025. "Two-layer energy dispatching and collaborative optimization of regional integrated energy system considering stakeholders game and flexible load management," Applied Energy, Elsevier, vol. 379(C).
    9. Zhang, Xiangyu & Glaws, Andrew & Cortiella, Alexandre & Emami, Patrick & King, Ryan N., 2025. "Deep generative models in energy system applications: Review, challenges, and future directions," Applied Energy, Elsevier, vol. 380(C).
    10. Lan, Xinyao & Jin, Jiahui & Xu, Beibei & Chen, Diyi & Egusquiza, Mònica & Kim, Jin-Hyuk & Egusquiza, Eduard & Jafar, Nejadali & Xu, Lin & Kuang, Yuan, 2022. "Physical model test and parametric optimization of a hydroelectric generating system with a coaxial shaft surge tank," Renewable Energy, Elsevier, vol. 200(C), pages 880-899.
    11. Oyewo, Ayobami S. & Aghahosseini, Arman & Movsessian, Maria M. & Breyer, Christian, 2024. "A novel geothermal-PV led energy system analysis on the case of the central American countries Guatemala, Honduras, and Costa Rica," Renewable Energy, Elsevier, vol. 221(C).
    12. Cheng, Qian & Liu, Pan & Xia, Jun & Ming, Bo & Cheng, Lei & Chen, Jie & Xie, Kang & Liu, Zheyuan & Li, Xiao, 2022. "Contribution of complementary operation in adapting to climate change impacts on a large-scale wind–solar–hydro system: A case study in the Yalong River Basin, China," Applied Energy, Elsevier, vol. 325(C).
    13. Barckholtz, Timothy A. & Taylor, Kevin M. & Narayanan, Sundar & Jolly, Stephen & Ghezel-Ayagh, Hossein, 2022. "Molten carbonate fuel cells for simultaneous CO2 capture, power generation, and H2 generation," Applied Energy, Elsevier, vol. 313(C).
    14. Chen, Shiyu & Ma, Chiye & Wang, Wei & Zio, Enrico, 2024. "An agent-based cooperative co-evolutionary framework for optimizing the production planning of energy supply chains under uncertainty scenarios," International Journal of Production Economics, Elsevier, vol. 277(C).
    15. Wenqing Chen & Melvyn Sim & Jie Sun & Chung-Piaw Teo, 2010. "From CVaR to Uncertainty Set: Implications in Joint Chance-Constrained Optimization," Operations Research, INFORMS, vol. 58(2), pages 470-485, April.
    16. Stefan Mišković, 2017. "A VNS-LP algorithm for the robust dynamic maximal covering location problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(4), pages 1011-1033, October.
    17. Chassein, André & Dokka, Trivikram & Goerigk, Marc, 2019. "Algorithms and uncertainty sets for data-driven robust shortest path problems," European Journal of Operational Research, Elsevier, vol. 274(2), pages 671-686.
    18. Beck, Yasmine & Ljubić, Ivana & Schmidt, Martin, 2023. "A survey on bilevel optimization under uncertainty," European Journal of Operational Research, Elsevier, vol. 311(2), pages 401-426.
    19. Antonio G. Martín & Manuel Díaz-Madroñero & Josefa Mula, 2020. "Master production schedule using robust optimization approaches in an automobile second-tier supplier," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(1), pages 143-166, March.
    20. Rik L. Rozendaal & Herman R. J. Vollebergh & Rik Rozendaal, 2021. "Policy-Induced Innovation in Clean Technologies: Evidence from the Car Market," CESifo Working Paper Series 9422, CESifo.

    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:382:y:2025:i:c:s0306261924026412. 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.