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Life cycle cost analysis of wind power considering stochastic uncertainties

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  • Li, Chiao-Ting
  • Peng, Huei
  • Sun, Jing

Abstract

This paper presents a long-term cost analysis of wind power and compares its competitiveness to non-renewable generating technologies. The analysis considers several important attributes related to wind intermittency that are sometimes ignored in traditional generation planning or LCOE (levelized cost of energy) studies, including the need for more nameplate capacity due to intermittency, hourly fluctuations in wind outputs and cost for reserves. The competitiveness of wind power is assessed by evaluating four scenarios: 1) adding natural gas generating capacity to the power grid; 2) adding coal generating capacity to the power grid; 3) adding wind capacity to the power grid; and, 4) adding wind capacity and energy storage to the power grid where an energy storage device is used to cover wind intermittency. A case study in the state of Michigan is presented to demonstrate the use of the proposed methodology, in which a time horizon from 2010 to 2040 is considered. The results show that wind energy will still be more expensive than natural gas power plants in the next three decades, but will be cheaper than coal capacities if wind intermittency is mitigated. Furthermore, if the costs of carbon emissions and environmental externalities are considered, wind generation will be a competitive option for grid capacity expansion.

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  • Li, Chiao-Ting & Peng, Huei & Sun, Jing, 2014. "Life cycle cost analysis of wind power considering stochastic uncertainties," Energy, Elsevier, vol. 75(C), pages 411-418.
    • Handle: RePEc:eee:energy:v:75:y:2014:i:c:p:411-418
    DOI: 10.1016/j.energy.2014.07.090
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    References listed on IDEAS

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    Cited by:

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    3. Cortés-Borda, D. & Guillén-Gosálbez, G. & Jiménez, L., 2015. "Assessment of nuclear energy embodied in international trade following a world multi-regional input–output approach," Energy, Elsevier, vol. 91(C), pages 91-101.
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    5. Groissböck, Markus & Pickl, Matthias J., 2016. "An analysis of the power market in Saudi Arabia: Retrospective cost and environmental optimization," Applied Energy, Elsevier, vol. 165(C), pages 548-558.

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