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Solar Energy Perspectives - IEA

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<strong>Solar</strong> <strong>Energy</strong> <strong>Perspectives</strong>: <strong>Solar</strong> electricity<br />

The current dynamics favour PV, which has a steep learning curve. It may appear that CSP<br />

will never catch up, but the maths of learning curve tells another story: a rapid growth rate<br />

of CSP from its current narrow basis would speed its cost reduction 2 . Detailed industry<br />

studies also find large room for technology improvements and cost decreases (see, e.g., AT<br />

Kearney and ESTELA, 2010). A rapid advance of numerous projects in the United States and<br />

elsewhere, coupled with the introduction of efficient innovations (especially in the domain<br />

of CSP towers), and the emergence of new participants, are expected to lead to sharp cost<br />

reductions (see Chapters 7 and 8).<br />

PV grid-parity<br />

Electricity from residential and commercial PV systems is currently 27% more expensive than<br />

that from utility-scale, ground-based PV systems. This cost difference, largely due to greater<br />

margins throughout the supply chain, is expected to decrease sharply as competition increases.<br />

In the long term, residential PV systems may even become less expensive than ground-mounted<br />

PV, if PV is integrated at a very low additional cost in standard elements of the building<br />

envelope (see Chapter 6). It must be noted, however, that orientation and tilt are not always<br />

optimal, and shadows from the surrounding environment cannot always be suppressed.<br />

Furthermore, residential/commercial PV competes with retail electricity prices, not wholesale<br />

prices. Retail prices include, among other things, distribution costs. In practice they are<br />

usually almost twice the cost of base-load bulk power. “Grid-parity” is reached when PV<br />

generation costs are roughly equal to retail electricity prices.<br />

These costs are expected to be lower than electricity retail prices in several countries. This<br />

will allow PV residential and commercial systems to achieve parity with the distribution grid<br />

electricity retail prices in countries characterised by a good solar resource and high<br />

conventional electricity retail prices (noted “2 nd competitiveness level” on Figure 3.12).<br />

In some cases, grid parity will be reached before 2015. Islands are a case in point, as<br />

electricity generation is often based on costly oil-fired (diesel) plants. Madagascar, Cyprus,<br />

other Mediterranean islands, the Caribbean and the Seychelles represent significant examples,<br />

in this regard. In entire countries or regions, such as Italy or California, residential PV may also<br />

achieve grid parity in only a few years from now. The process will take more time in countries<br />

with lesser solar resource, but high electricity prices, and countries with good solar resource,<br />

but lower electricity prices. Some studies (e.g. Breyer and Gerlach, 2010) assume that grid<br />

parity would be reached in most of the Americas, Asia-Pacific and Europe by 2020. A more<br />

cautious assessment suggests that this will take place between 2020 and 2030, but likely not<br />

in the Northernmost European countries. Exceptions exist in countries where the electricity<br />

from the grid is significantly subsidised, such as Egypt, Iran, various MENA countries, South<br />

Africa, Russia and Venezuela, and, to a lesser extent, China and India. Another impediment<br />

to grid parity stems from the fact that retail electricity prices for households often do not reflect<br />

the true costs at all times, even if they do so on average. That is, prices are often “flattened”,<br />

which may make them too high during off-peak demand times, and too low during peak<br />

demand times, compared with the production costs at those times. Producing electricity at<br />

2. Adding another 40 GW to the existing PV capacity would reduce PV costs by 15%, with a 15% learning rate at system level.<br />

Adding 40 GW to the existing CSP basis, i.e. doubling the existing CSP basis more than five times, would reduce CSP costs by 40%<br />

with the less favourable learning rate of 10%.<br />

62<br />

© OECD/<strong>IEA</strong>, 2011

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