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Closing the gap between wind energy targets and implementation for emerging countries

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  • Giani, Paolo
  • Tagle, Felipe
  • Genton, Marc G.
  • Castruccio, Stefano
  • Crippa, Paola

Abstract

Policymakers worldwide have set challenging sustainable energy targets to decarbonize their economy. Despite the ambitious pledges, several emerging countries still lack an actual progress towards the envisioned goals, often due to the scarcity of accurate data. Here, we propose a practical methodology for bridging the gap between the wind energy targets and their implementation. We illustrate our new methodology by focusing on Saudi Arabia, which endeavors to play a leading role in the renewable energy sector and pledges to install 16GW of wind capacity by 2030. We propose a blueprint for the optimal wind farms buildout, combining novel high-resolution model simulations, a unique set of observations, land-use restrictions and a thorough cost assessment. The most suitable technological option is selected among multiple turbine models for each potential site. Our findings suggest that Saudi Arabia is well positioned to become a role model for wind energy development within the Middle East, with 26% of the electricity demand that could be met by wind power. The average levelized cost of energy of the proposed buildout is 39 USD MWh−1, which confirms the competitiveness of wind resources in Saudi Arabia. We identify the area close to Gulf of Aqaba as the most cost-effective region for wind harvesting, with turbines characterized by moderate specific rating (350 W m−2) at relatively low hub height (75 m). The modelling framework proposed in this work can be adopted by other countries aiming to start or strengthen their wind energy portfolio.

Suggested Citation

  • Giani, Paolo & Tagle, Felipe & Genton, Marc G. & Castruccio, Stefano & Crippa, Paola, 2020. "Closing the gap between wind energy targets and implementation for emerging countries," Applied Energy, Elsevier, vol. 269(C).
  • Handle: RePEc:eee:appene:v:269:y:2020:i:c:s0306261920305973
    DOI: 10.1016/j.apenergy.2020.115085
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    as
    1. Lidula, N.W.A. & Mithulananthan, N. & Ongsakul, W. & Widjaya, C. & Henson, R., 2007. "ASEAN towards clean and sustainable energy: Potentials, utilization and barriers," Renewable Energy, Elsevier, vol. 32(9), pages 1441-1452.
    2. Griffiths, Steven, 2017. "A review and assessment of energy policy in the Middle East and North Africa region," Energy Policy, Elsevier, vol. 102(C), pages 249-269.
    3. Matthias Schramm & Hamid Rahimi & Bernhard Stoevesandt & Kim Tangager, 2017. "The Influence of Eroded Blades on Wind Turbine Performance Using Numerical Simulations," Energies, MDPI, vol. 10(9), pages 1-15, September.
    4. Ueckerdt, Falko & Hirth, Lion & Luderer, Gunnar & Edenhofer, Ottmar, 2013. "System LCOE: What are the costs of variable renewables?," Energy, Elsevier, vol. 63(C), pages 61-75.
    5. Yip, Chak Man Andrew & Gunturu, Udaya Bhaskar & Stenchikov, Georgiy L., 2016. "Wind resource characterization in the Arabian Peninsula," Applied Energy, Elsevier, vol. 164(C), pages 826-836.
    6. Rehman, S. & El-Amin, I.M. & Ahmad, F. & Shaahid, S.M. & Al-Shehri, A.M. & Bakhashwain, J.M., 2007. "Wind power resource assessment for Rafha, Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(5), pages 937-950, June.
    7. Al-Badi, A.H. & Malik, A. & Gastli, A., 2009. "Assessment of renewable energy resources potential in Oman and identification of barrier to their significant utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2734-2739, December.
    8. Liu, Fa & Sun, Fubao & Liu, Wenbin & Wang, Tingting & Wang, Hong & Wang, Xunming & Lim, Wee Ho, 2019. "On wind speed pattern and energy potential in China," Applied Energy, Elsevier, vol. 236(C), pages 867-876.
    9. Jia, Xiaodong & Jin, Chao & Buzza, Matt & Wang, Wei & Lee, Jay, 2016. "Wind turbine performance degradation assessment based on a novel similarity metric for machine performance curves," Renewable Energy, Elsevier, vol. 99(C), pages 1191-1201.
    10. Sahir, Mukhtar H. & Qureshi, Arshad H., 2008. "Assessment of new and renewable energy resources potential and identification of barriers to their significant utilization in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(1), pages 290-298, January.
    11. Robert C. Armstrong & Catherine Wolfram & Krijn P. de Jong & Robert Gross & Nathan S. Lewis & Brenda Boardman & Arthur J. Ragauskas & Karen Ehrhardt-Martinez & George Crabtree & M. V. Ramana, 2016. "The frontiers of energy," Nature Energy, Nature, vol. 1(1), pages 1-8, January.
    12. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    13. Rehman, Shafiqur & Ahmad, Aftab, 2004. "Assessment of wind energy potential for coastal locations of the Kingdom of Saudi Arabia," Energy, Elsevier, vol. 29(8), pages 1105-1115.
    14. Giwhyun Lee & Yu Ding & Marc G. Genton & Le Xie, 2015. "Power Curve Estimation With Multivariate Environmental Factors for Inland and Offshore Wind Farms," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 56-67, March.
    15. Verbruggen, Aviel & Fischedick, Manfred & Moomaw, William & Weir, Tony & Nadaï, Alain & Nilsson, Lars J. & Nyboer, John & Sathaye, Jayant, 2010. "Renewable energy costs, potentials, barriers: Conceptual issues," Energy Policy, Elsevier, vol. 38(2), pages 850-861, February.
    16. Richard Kinley, 2017. "Climate change after Paris: from turning point to transformation," Climate Policy, Taylor & Francis Journals, vol. 17(1), pages 9-15, January.
    17. J. K. Lundquist & K. K. DuVivier & D. Kaffine & J. M. Tomaszewski, 2019. "Costs and consequences of wind turbine wake effects arising from uncoordinated wind energy development," Nature Energy, Nature, vol. 4(1), pages 26-34, January.
    18. Erkka Rinne & Hannele Holttinen & Juha Kiviluoma & Simo Rissanen, 2018. "Effects of turbine technology and land use on wind power resource potential," Nature Energy, Nature, vol. 3(6), pages 494-500, June.
    19. Mohammad Nurunnabi, 2017. "Transformation from an Oil-based Economy to a Knowledge-based Economy in Saudi Arabia: the Direction of Saudi Vision 2030," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(2), pages 536-564, June.
    20. Felipe Tagle & Stefano Castruccio & Paola Crippa & Marc G. Genton, 2019. "A Non‐Gaussian Spatio‐Temporal Model for Daily Wind Speeds Based on a Multi‐Variate Skew‐t Distribution," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(3), pages 312-326, May.
    21. Jacobson, Mark Z. & Delucchi, Mark A., 2011. "Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials," Energy Policy, Elsevier, vol. 39(3), pages 1154-1169, March.
    22. Gualtieri, Giovanni, 2019. "A comprehensive review on wind resource extrapolation models applied in wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 215-233.
    23. J. K. Lundquist & K. K. DuVivier & D. Kaffine & J. M. Tomaszewski, 2019. "Publisher Correction: Costs and consequences of wind turbine wake effects arising from uncoordinated wind energy development," Nature Energy, Nature, vol. 4(3), pages 251-251, March.
    24. Zhang, Hengxu & Cao, Yongji & Zhang, Yi & Terzija, Vladimir, 2018. "Quantitative synergy assessment of regional wind-solar energy resources based on MERRA reanalysis data," Applied Energy, Elsevier, vol. 216(C), pages 172-182.
    25. Fant, Charles & Gunturu, Bhaskar & Schlosser, Adam, 2016. "Characterizing wind power resource reliability in southern Africa," Applied Energy, Elsevier, vol. 161(C), pages 565-573.
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