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How energy strategies are shaped by the correlation of uncertainties

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  • 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
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    as
    1. 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).
    2. 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.
    3. Dimitris Bertsimas & Melvyn Sim, 2004. "The Price of Robustness," Operations Research, INFORMS, vol. 52(1), pages 35-53, February.
    4. 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.
    5. 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).
    6. 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).
    7. 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).
    8. 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.
    9. 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).
    10. 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).
    11. 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.
    12. 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.
    13. 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).
    14. 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.
    15. 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.
    16. 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.
    17. 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).
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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).
    24. A. Ben-Tal & A. Nemirovski, 1998. "Robust Convex Optimization," Mathematics of Operations Research, INFORMS, vol. 23(4), pages 769-805, November.
    25. Yin, Mingjia & Li, Kang & Yu, James, 2022. "A data-driven approach for microgrid distributed generation planning under uncertainties," Applied Energy, Elsevier, vol. 309(C).
    26. 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).
    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).
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