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Wind power design in isolated energy systems: Impacts of daily wind patterns

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  • Suomalainen, K.
  • Silva, C.
  • Ferrão, P.
  • Connors, S.

Abstract

Increasing levels of intermittent renewables, especially wind power, in energy systems require accurate temporal characterisation of the resources’ availability at seasonal, daily and hourly scales. This is crucial for isolated energy systems, where increasing wind power penetration is limited due to costly backup power generation requirements. In the case studies presented in this paper, the energy systems of two islands are simulated using a new methodology for synthetic wind speed scenarios including daily wind patterns. A trade-off analysis was conducted in terms of surplus wind power and renewables penetration rate, with the objective of supplying decision support on wind turbine placement. Results show that there may be a significant advantage in locating future wind parks on sites where wind speed patterns better match electricity demand patters, rather than just choosing a site with the highest mean wind speed, but only if the annual mean wind speed is still sufficiently high to make the investment economically feasible.

Suggested Citation

  • Suomalainen, K. & Silva, C. & Ferrão, P. & Connors, S., 2013. "Wind power design in isolated energy systems: Impacts of daily wind patterns," Applied Energy, Elsevier, vol. 101(C), pages 533-540.
    • Handle: RePEc:eee:appene:v:101:y:2013:i:c:p:533-540
    DOI: 10.1016/j.apenergy.2012.06.027
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    References listed on IDEAS

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    1. Chen, Fengzhen & Duic, Neven & Manuel Alves, Luis & da Graça Carvalho, Maria, 2007. "Renewislands--Renewable energy solutions for islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(8), pages 1888-1902, October.
    2. Al-Abbadi, Naif M., 2005. "Wind energy resource assessment for five locations in Saudi Arabia," Renewable Energy, Elsevier, vol. 30(10), pages 1489-1499.
    3. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    4. Sinden, Graham, 2007. "Characteristics of the UK wind resource: Long-term patterns and relationship to electricity demand," Energy Policy, Elsevier, vol. 35(1), pages 112-127, January.
    5. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2011. "The first step towards a 100% renewable energy-system for Ireland," Applied Energy, Elsevier, vol. 88(2), pages 502-507, February.
    6. Khan, M.J. & Iqbal, M.T., 2009. "Analysis of a small wind-hydrogen stand-alone hybrid energy system," Applied Energy, Elsevier, vol. 86(11), pages 2429-2442, November.
    7. Zhou, Wei & Lou, Chengzhi & Li, Zhongshi & Lu, Lin & Yang, Hongxing, 2010. "Current status of research on optimum sizing of stand-alone hybrid solar-wind power generation systems," Applied Energy, Elsevier, vol. 87(2), pages 380-389, February.
    8. Pina, André & Silva, Carlos & Ferrão, Paulo, 2011. "Modeling hourly electricity dynamics for policy making in long-term scenarios," Energy Policy, Elsevier, vol. 39(9), pages 4692-4702, September.
    9. Lund, H., 2006. "Large-scale integration of optimal combinations of PV, wind and wave power into the electricity supply," Renewable Energy, Elsevier, vol. 31(4), pages 503-515.
    10. Bekele, Getachew & Palm, Björn, 2009. "Wind energy potential assessment at four typical locations in Ethiopia," Applied Energy, Elsevier, vol. 86(3), pages 388-396, March.
    11. Suomalainen, K. & Silva, C.A. & Ferrão, P. & Connors, S., 2012. "Synthetic wind speed scenarios including diurnal effects: Implications for wind power dimensioning," Energy, Elsevier, vol. 37(1), pages 41-50.
    12. Bowen, A.J & Cowie, M & Zakay, N, 2001. "The performance of a remote wind–diesel power system," Renewable Energy, Elsevier, vol. 22(4), pages 429-445.
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    3. Miranda, Raul & Simoes, Sofia & Szklo, Alexandre & Schaeffer, Roberto, 2019. "Adding detailed transmission constraints to a long-term integrated assessment model – A case study for Brazil using the TIMES model," Energy, Elsevier, vol. 167(C), pages 791-803.
    4. Simoes, Sofia & Zeyringer, Marianne & Mayr, Dieter & Huld, Thomas & Nijs, Wouter & Schmidt, Johannes, 2017. "Impact of different levels of geographical disaggregation of wind and PV electricity generation in large energy system models: A case study for Austria," Renewable Energy, Elsevier, vol. 105(C), pages 183-198.
    5. Loukatou, Angeliki & Howell, Sydney & Johnson, Paul & Duck, Peter, 2018. "Stochastic wind speed modelling for estimation of expected wind power output," Applied Energy, Elsevier, vol. 228(C), pages 1328-1340.
    6. Pina, André & Silva, Carlos A. & Ferrão, Paulo, 2013. "High-resolution modeling framework for planning electricity systems with high penetration of renewables," Applied Energy, Elsevier, vol. 112(C), pages 215-223.
    7. Osório, G.J. & Rodrigues, E.M.G. & Lujano-Rojas, J.M. & Matias, J.C.O. & Catalão, J.P.S., 2015. "New control strategy for the weekly scheduling of insular power systems with a battery energy storage system," Applied Energy, Elsevier, vol. 154(C), pages 459-470.
    8. Erdinc, Ozan & Paterakis, Nikolaos G. & Catalão, João P.S., 2015. "Overview of insular power systems under increasing penetration of renewable energy sources: Opportunities and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 333-346.
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    10. Scholz, Teresa & Lopes, Vitor V. & Estanqueiro, Ana, 2014. "A cyclic time-dependent Markov process to model daily patterns in wind turbine power production," Energy, Elsevier, vol. 67(C), pages 557-568.

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