Page 53 - Energize January 2022
P. 53

TECHNICAL


        The South African Wind Atlas: Essential


        for renewable resource planning




        by Mike Rycroft, Energize features editor


        Wind power is a major feature of most energy plans, South Africa’s included. Wind is a variable
        resource, both geographically and chronologically, and planning of wind installations requires

        reliable information on the wind resource available at a proposed site. Numerous models are
        available and South Africa has completed its own reliable wind atlas (WASA).




             ccurate, reliable and up to date information on wind speed   height greater than 10 m above ground level (AGL).
             and wind energy potential is essential for the planning of wind   The Atlas provided a general wind profile for the whole country
        Afarms and the co-ordination of the aggregated national wind   (Figure 1) as well as information on specific recording stations.
        power resource.                                        Information for specific recording sites included seasonal and daily
           Most wind farms are planned using wind models based on   wind speed variations. More importantly, the Atlas included statistical
        historical wind data recorded at specific sites, or other high-level   data on wind speed distribution, using the Weibull distribution model.
        data such as satellite and global meteorological data. Many wind   Although the Atlas provided a rough guide to the potential for
        installations worldwide are suffering from performance below   wind power, it did not provide an accurate means of estimating the
        expected standards, as well as such phenomena as onshore doldrums   wind potential at a particular site. Attempts were made at establishing
        and wind pattern shifts. Offshore installations suffer even worse as   a method of determining the wind speed data at a particular site by
        accurate data on offshore winds is not directly available and often   interpolating data from nearby existing sites and making use of surface
        comes from proxy sources.                              effects. This was hampered by the lack of detailed information on
           Incorrect estimation of available wind power can be disastrous.   surface topology and lack of computing power.
        Britain suffered an embarrassing low level of wind power during   Since the publication, several other models have been
        COP26 and has on several recent occasions had to re-activate coal   constructed, such as SARERD (Eskom 2001) and Hagerman (UCT
        fired stations due to poor performance of wind farms. Germany, a   2009), many based on satellite data and other databases. Although
        champion of wind power, suffers a regular phenomenon known as the   the wind atlas proved useful in its intended application, the decision
        dunkelflaute, an onshore doldrum, which causes low wind and solar   to introduce utility scale wind farms on a large scale required a more
        production for days on end. Both these countries are able to draw   accurate and easier to use system. Accurate modelling of wind is
        additional power from neighbours. We don’t have that luxury, so wind   necessary when designing for wind power. A 10% error in wind speed
        power planning has to take these possibilities into account. To do this   can lead to a 30% error in wind power and energy.
        requires accurate and reliable information on the wind resource.

        Historical wind mapping
        One of the first attempts at mapping the wind resource in South
        Africa was undertaken by Roseanne Diab, of UKZN, and this resulted
        in the publication of the “Wind atlas of South Africa” in 1995. The
        publication was prepared for the then Department of Mineral
        and Energy affairs. The wind atlas was compiled using data from a
        number of different sources, using different recording methods. This
        included stations run by the SAWB, the ARC, Eskom, Atomic Energy
        Commission, Sea Fisheries, Dept of Forestry, and other parties.
           One of the limitations of this method was that that wind recording
        stations are located at a height above ground level (AGL) varying from
        2 to 12 m, which makes the wind speed very dependent upon location
        and terrain. Although results are normalised to a height of 10 m, the
        data is of limited use to modern large wind turbines. The wind atlas
        proved a useful means of determining the viability of the small wind   Figure 1: Generalised map of wind power potential in South Africa
        turbines available at the time, which were not generally mounted at a   (Diab 1995)



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