The Sustainability Energy Authority of Ireland (SEAI) have a new report which looks at CO emission savings from wind energy in 2012. The electricity grid is simulated using -hourly system demand, known outages, and inter-connector flows as boundary conditions. One simulation is done using actual wind generation in 2012 while another sets wind generation to zero. The difference in total CO corresponds to emissions savings. The SEAI study was carried out using off-the-shelf PLEXOS dispatch modelling software.
Here is a summary of SEAI’s findings (Table 4 p 31 of the report):
The savings for RoI is far lower than SEAI’s earlier number 0.49tCO2/MWh. In terms of “effectiveness”, 1 MWh of wind generation displaces the CO equivalent of 0.65MWh of average thermal generation. The earlier SEAI number corresponds to approximately one-for-one displacement. So this is a big change.
SEAI’s simulation findings can be compared to results based on empirical estimates. This method (described here and here) uses the commercially metered generation data from SEMO to calculate grid CO emissions. An ARMA model then relates these emissions to wind generation and other variables. Very good fits to the empirical CO time-series can be obtained.
Here are findings using the empirical method for 2011:
The NI CO savings number is much lower than found by SEAI. In fact, SEAI’s 2012 savings of -0.8tCO/MWh is hard to understand, because only of NI generation came from coal.
Simulation and empirical approaches each has advantages and disadvantages. Both are sensitive to imperfections in the wind generation/system demand dataset. However SEAI make a number of claims about the 2011 empirical method results which seem to me to be wrong. Firstly, system constraints and outages are automatically taken into account in the empirical method. Secondly, despite the absence of pumped storage and reduced inter-connector flow in 2011, emissions intensity was lower compared to 2012. This is because 2012 fuel prices favoured coal relative to gas. If anything the grid was less flexible in 2012.
System demand, tie-in flows between RoI/NI grids and Moyle interconnector flow are included as additional regression variables.