Solar Energy Perspectives - IEA
Solar Energy Perspectives - IEA
Solar Energy Perspectives - IEA
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Chapter 11: Testing the limits<br />
The average capacity demand in regions not suitable for CSP, both hot and humid, and<br />
cold regions, would be at most 65 000 TWh divided by the numbers of hours in a year,<br />
or about 7 400 GW. This suggests that total demand would vary between 5 000 GW and<br />
10 000 GW. Avoiding curtailment from wind during winter nights could thus require<br />
about 5 000 GW of storage capacities (assuming, somewhat implausibly, that all wind<br />
power capacities are in these regions). As is shown below, however, batteries of electric<br />
vehicles and plug-in hybrids can considerably reduce this need, so the extent of largescale<br />
electricity storage is in fact determined by the requirements to respond to demand<br />
peaks.<br />
It is assumed that the overall global demand could reach 10 000 GW at peak time after<br />
sunset, giving no capacity credit to PV and only 10%, (i.e. 1 000 GW), to wind power (in<br />
summer). A mix of base-load plants (geothermal, nuclear, fossil fuels and solid biomass<br />
with CCS), would represent a total capacity of 1 200 GW. Flexible hydropower capacities<br />
would add 1 600 GW. Imports from CSP-suitable areas could represent an additional firm<br />
capacity of 400 GW. Therefore, the total balancing requirement – i.e. the additional<br />
capacity needed to offset variability of renewables – would be up to about 5 800 GW.<br />
Effective demand-side management (DSM) can reduce balancing needs. It would take<br />
advantage of the thermal inertia of many uses of electricity, i.e. the fact that heat exchange<br />
can be relatively slow, so devices that produce or transfer heat or cold can be stopped for<br />
a while without any serious consequence. This inertia will have sharply increased in<br />
50 years by comparison to today, with many heat pumps in buildings and industry, and<br />
better insulated equipment (e.g. fridges or ovens) and buildings. DSM would also take<br />
advantage of the fact that not all electric vehicles need be charged during peak demand.<br />
A cautious assessment of 5% reduction from DSM brings the balancing needs down<br />
to 5 500 GW.<br />
Only a detailed assessment by continent could identify an optimal breakdown between<br />
the two remaining options: gas-fired balancing plants, and storage. Storage capacities are<br />
significant investments, and need to be used on a daily basis. Balancing plants cost less in<br />
investment but more in fuels – and even if run on a mix of solar hydrogen and natural gas,<br />
they would entail CO 2 emissions. They should be used only as extreme peak plants, and<br />
in case of contingencies. The optimal mix depends on the amount of electricity needs to<br />
be time-shifted on a daily basis to better match the demand. For example, 3 000 GW<br />
capacities of balancing plants, running on average 1 000 hours per year, would produce<br />
3 000 TWh per year, of which 2 000 TWh would come from solar hydrogen. The remaining<br />
capacity required to respond to demand peaks would be 2 500 GW (Figure 11.5).<br />
The volume of electricity storage necessary to make the electricity available when needed<br />
would likely be somewhere between 25 TWh and 150 TWh – i.e. from 10 to 60 hours of<br />
storage. If 20 TWh are transferred from one hour to another every day, then the yearly<br />
amount of variable renewable electricity shifted daily would be roughly 7 300 TWh.<br />
Allowing for 20% losses, one may consider 9 125 TWh in and 7 300 TWh out per year.<br />
The same capacities would probably be ample to avoid most PV curtailment during the<br />
sunniest hours, usually peak or mid-peak demand hours, assuming low wind speeds at<br />
those times. In summertime, when PV production is maximum, a significant part of the<br />
storage capacities installed to support wind power will remain unused to store power from<br />
wind generation, and thus available to store PV-generated electricity.<br />
203<br />
© OECD/<strong>IEA</strong>, 2011