Frontiers in Energy

, Volume 12, Issue 4, pp 560–568 | Cite as

Power to gas: addressing renewable curtailment by converting to hydrogen

  • Xiaohe YanEmail author
  • Xin Zhang
  • Chenghong Gu
  • Furong Li
Research Article


Renewable energy is the key to meeting increasing electricity demand and the decarburization targets in the generation mix. However, due to constrained power network capacity, a large volume of renewable generation is curtailed particularly from wind power, which is a huge waste of resources. There are typically three approaches to addressing excessive renewable: direct curtailment, the reinforcement of networks to expand transfer capacity, and the conversion of excessive renewable into other energy types, such as hydrogen, to transport. The costs and benefits of the three approaches could vary significantly across location, time, and penetration of renewable energy. This paper conducts a cost-benefit analysis and comparison of the three techniques to address wind curtailment. It uses a reduced 16-busbar UK transmission network to analyze the performance of the three approaches. The UK 2020 generation mix is used to quantify the saved renewable energy and incurred costs. The payback time and net present value of the two investment techniques are compared. From demonstration, it is reasonable to conclude that converting excessive wind power into hydrogen to transport is an environmentally friendly and cost-effective way to address wind curtailment.


blending hydrogen cost-benefit analysis electrolysis wind curtailment 


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The work is in partially supported by the EPSRC project EP/M000141/1 and Chinese Scholarship Council (CSC).


  1. 1.
    Jennifer Rogers S F, Porter K. Examples of wind energy curtailment practices. National Renewable Energy Laboratory, 2010CrossRefGoogle Scholar
  2. 2.
    National Grid. Winter Outlook 2014/15. National Grid, 2014Google Scholar
  3. 3.
    Lew D, Bird L, Milligan M, et al. Wind and solar curtailment. The National Renewable Energy Laboratory (NREL), 2013Google Scholar
  4. 4.
    Luo X, Wang J, Dooner M, Clarke J. Overview of current development in electrical energy storage technologies and the application potential in power system operation. Applied Energy, 2015, 137(C): 511–536CrossRefGoogle Scholar
  5. 5.
    Wang H L, Redfern M A. The advantages and disadvantages of using HVDC to interconnect AC networks. In: 45th International Universities Power Engineering Conference. Cardiff, Wales, UK, 2010Google Scholar
  6. 6.
    Lori Bird J C, Wang X. Wind and solar energy curtailment: experience and practices in the United States. 2017–10,
  7. 7.
  8. 8.
    Zhang N, Lu X, McElroy M B, et al. Reducing curtailment of wind electricity in China by employing electric boilers for heat and pumped hydro for energy storage. Applied Energy, 2016, 184: 987–994CrossRefGoogle Scholar
  9. 9.
    Waite M, Modi V. Modeling wind power curtailment with increased capacity in a regional electricity grid supplying a dense urban demand. Applied Energy, 2016, 183: 299–317CrossRefGoogle Scholar
  10. 10.
    Ursua A, Gandia L M, Sanchis P. Hydrogen production from water electrolysis: current status and future trends. Proceedings of the IEEE, 2012, 100(2): 410–426CrossRefGoogle Scholar
  11. 11.
    Rozendal R A, Hamelers H V, Euverink G J, Metz S J, Buisman C J. Principle and perspectives of hydrogen production through biocatalyzed electrolysis. International Journal of Hydrogen Energy, 2006, 31(12): 1632–1640CrossRefGoogle Scholar
  12. 12.
    Kavadias K, Apostolou D, Kaldellis J. Modelling and optimisation of a hydrogen-based energy storage system in an autonomous electrical network. Applied Energy, 2017, 227: 574–586CrossRefGoogle Scholar
  13. 13.
    Cai W, Zhang Z, Ren G, et al. Quorum sensing alters the microbial community of electrode-respiring bacteria and hydrogen scavengers toward improving hydrogen yield in microbial electrolysis cells. Applied Energy, 2016, 183: 1133–1141CrossRefGoogle Scholar
  14. 14.
    Ehteshami S M M, Vignesh S, Rasheed R K A, Chan S H. Numerical investigations on ethanol electrolysis for production of pure hydrogen from renewable sources. Applied Energy, 2016, 170: 388–393CrossRefGoogle Scholar
  15. 15.
    Nursebo S, Chen P, Carlson O, Tjernberg L B. Optimizing wind power hosting capacity of distribution systems using cost benefit analysis. IEEE Transactions on Power Delivery, 2014, 29(3): 1436–1445CrossRefGoogle Scholar
  16. 16.
    Hu Z, Li F. Cost-benefit analyses of active distribution network management, part II: investment reduction analysis. IEEE Transactions on Smart Grid, 2012, 3(3): 1075–1081CrossRefGoogle Scholar
  17. 17.
    Parissis O S, Zoulias E, Stamatakis E, et al. Integration of wind and hydrogen technologies in the power system of Corvo island, Azores: a cost-benefit analysis. International Journal of Hydrogen Energy, 2011, 36(13): 8143–8151CrossRefGoogle Scholar
  18. 18.
    Schouten J A, Michels J P J, Janssen R. Mixtures of hydrogen and natural gas: thermodynamic and transportation properties. 2017–10, Scholar
  19. 19.
    Sarrias-Mena R, Fernández-Ramírez L M, García-Vázquez C A, Jurado F. Electrolyzer models for hydrogen production from wind energy systems. International Journal of Hydrogen Energy, 2015, 40 (7): 2927–2938CrossRefGoogle Scholar
  20. 20.
    Windpower Program. Wind turbine power output variation with steady wind speed. 2017–10,
  21. 21.
    Manyonge A W, Ochieng R M, Onyango F N, Shichikha J M. Mathematical modelling of wind turbine in a wind energy conversion system: power coefficient analysis. Applied Mathematical Sciences, 2012, 6(6): 4527–4536zbMATHGoogle Scholar
  22. 22.
    Chaudry M, Jenkins N, Qadrdan M, Wu J. Combined gas and electricity network expansion planning. Applied Energy, 2014, 113 (6): 1171–1187CrossRefGoogle Scholar
  23. 23.
    Investopedia. Net present value—NPV. 2017–11,
  24. 24.
    Qadrdan M. Modelling of an integrated gas and electricity network with significant wind capacity. Dissertation for the Doctoral Degree. Welsh: Cardiff University, 2012Google Scholar
  25. 25.
  26. 26.
    Npower. Wind turbine power calculations. 2017–10,
  27. 27.
    KAPSOM. Water electrolysis hydrogen generator. 2017–11,
  28. 28.
    NERA Economic Consulting. Energy supply margins: commentary on Ofgem’s SMI. 2017–09,
  29. 29.
    ECUITY. A vision for the UK hydrogen economy. 2018–07,
  30. 30.
    Ogden J M. Cost and performance sensitivity studies for solar photovoltaic/electrolytic hydrogen systems. Solar Cells, 1991, 30 (1–4): 515–523CrossRefGoogle Scholar
  31. 31.
    GOV.UK. Social impact bonds: discount rates and net present value. 2017–10,

Copyright information

© Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Xiaohe Yan
    • 1
    Email author
  • Xin Zhang
    • 2
  • Chenghong Gu
    • 1
  • Furong Li
    • 1
  1. 1.Department of Electronic and Electrical EngineeringUniversity of BathBathUK
  2. 2.Electricity National Control CentreNational GridWokinghamUK

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