Development of a Quantitative Analysis System for Greener and Economically Sustainable Wind Farms

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Simons, Philippa ; Cheung, Wai Ming (2016)

This paper reports the development of a quantitative analysis system for selecting a greener and economically sustainable wind farm at the early design stage. A single wind turbine produces a limited amount of carbon emissions throughout its lifecycle. By taking a broader view, such as wind farms, collectively such an application would have a greater impact upon the environment and cost. Recent research on wind farms tends to focus on wind flow modelling to enable accurate prediction of power generation. Therefore, this paper presents a quantitative approach to predict a wind farm’s lifetime (i) carbon emissions and intensity; (ii) potential energy production; (iii) return on investment and (iv) payback time from an early design perspective. The overall contribution of this work is to develop a quantitative approach to enable the selection of ‘greener’ designs for reducing the environmental impacts of a wind farm with hub heights between 44 m and 135 m while still considering its economic feasibility assessment. This newly developed system could potentially be used by top-management and engineers of wind turbine manufacturers and wind energy service providers for cleaner energy provision.
  • References (32)
    32 references, page 1 of 4

    Astolfi, D., Castellani, F., Garinei, A., Terzi, L. 2015. Data mining techniques for performance analysis of onshore wind farms. Appl. Energy, 148, 220-233.

    Barthelmie, R.J., Hansen, K., Frandsen, S.T., Rathmann, O., Schepers, J.G., Schlez, W., Phillips, J., Rados, K., Zervos, A., Politis, E.S., Chaviaropoulos, P.K., 2009. Modelling and measuring flow and wind turbine wakes in large wind farms offshore. Wind. Energy. 12(5), 431-444.

    Barthelmie, R.J., Jensen, L.E., 2010. Evaluation of wind farm efficiency and wind turbine wakes at the Nysted offshore wind farm. Wind. Energy. 13(6), 573-586.

    Betz, A., Introduction to the theory of flow machines. 1966, Oxford: Pergamon Press.

    Brower, M., 2012. Wind resource assessment: a practical guide to developing a wind project. Hoboken, N.J: Wiley.

    BS EN 61400-1:2005+A1:2010., 2006. Wind turbines. Design requirements. British Standards Institute.

    Builtjes, P.J.H., Smith, J., 1978. Calculation of wake effects in wind turbine parks. Wind. Eng. 2(3), 135-145.

    Burke, D.J., O'Malley, M.J., 2011. Factors influencing wind energy curtailment. IEEE Trans. Sustain. Energy, 2(2), 185-193.

    Burton, T., Jenkins, N., Sharpe, D., Bossanyi, E., 2011. Wind Energy Handbook. 2nd ed. West Sussex, England: John Wiley & Sons, Ltd.

    Chen, B., Matthews, P.C., Tavner, P.J., 2015. Automated on-line fault prognosis for wind turbine pitch systems using supervisory control and data acquisition. Renewable Power Generation., IET, 9(5), 503-513.

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