ANALYSES

This is the cover page for the presentation of analyses. Generally these will use data that has been presented on the data pages. Our initial focus is the variability of electricity sourced from wind farms.

• [27th Jan 2012, Updated; Interesting!] Electricity Market Analysis, Price, Demand and Value
  Ten billion dollars of wholesale electricity - a first look.
  
  
• [25th Feb 2011, Sitting] Simulated Concentrating Solar Thermal (CST) Farms
  More spatial smoothing on a continental scale.
  
  
• [8th Feb 2011, Needs further development, but fine for now] Solar Power-Curves Analysis (CST)
  Establish power curve/s for transforming solar radiation data into power output from a concentrating solar thermal plant.
  
  
• [3rd Dec 2010, To be continued once CST work established] Simulated Wind Farms from Broome to Cooktown
  Spatial smoothing on a continental scale.
  
  
• [28th Nov 2010, Sitting] Simulate Wind Farms on Eyre Peninsula from BoM wind speed data
  First pass at simulating Wind Farm output from Bureau of Meteorology (BoM) wind speed data.
  
  
• [Nov 2010, Sitting] Reconcile Wind Farm output with BoM wind data
  Wind farm generation data is compared against the closest BoM meteorological stations in order to establish a Wind Power Curve Model; that is, to establish methodology for modelling electricity output of a putative wind farm based on BoM station wind speeds.
  
  
• [May 2010; Preliminary work] Wind Penetration by Installed Capacity
  What are the basic limits on Wind Power penetration? By scaling up available data we examine increasing levels of Installed Capacity of wind power, and by comparison with matching Demand data (SA 2009) determine the percentage of the overall demand that could be supplied by the wind power, and the amount of wind power that must be spilt in the absence of storage.
  
  
• [April 2010; Preliminary work] Gross Variability of SA Wind Power
  Data from various combinations of 7 wind farms is scaled up such that the total annual wind power matches the total demand (for SA 2009). The large scale (week+ level) deficits and excesses are plotted, and the gross level spatial smoothing is observed.

If you would like to post analysis of your own here, we will be delighted to hear from you (contact us here to discuss).

Substantive analysis contributions:

• John Morgan, 10th June 2010, Broome to Cooktown
• JM, 24th June 2010, exploration of wind properties
• Stephen Gloor, 14th July, Correlation Analysis of 12 WA Wind Stations
• Dashpool, August 2010, on estimating wind farm output from BoM data (#5, #6, #10, etc)