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OES Annual Report 2012 - Ocean Energy Systems

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113<br />

05 / DEVELOPMENT OF THE INTERNATIONAL<br />

OCEAN ENERGY INDUSTRY: PERFORMANCE<br />

IMPROVEMENTS AND COST REDUCTIONS<br />

Improve reliability -- The system reliability drives O&M costs because it dictates intervention cycles and<br />

also replacement part cost. It is expected that with deployment experience, these system will become more<br />

reliable and robust over time.<br />

If the above improvements are applied to the baseline CoE profile of 27 cents/kWh at commercial scale, it<br />

would allow a cost reduction on the order of almost 50 percent over present cost to a CoE of about 15.5<br />

cents/kWh, as illustrated in Figure 5. Given the uncertainties in the prediction of the baseline cost of +/- 30<br />

percent, the range of CoE values that could be achieved is on the order of 10 – 20 cents/kWh.<br />

30<br />

28<br />

26<br />

24<br />

COE (CENTS/KWH)<br />

22<br />

20<br />

18<br />

16<br />

14<br />

12<br />

10<br />

POWER CAPTURE ALTERNATE MATERIALS RELIABILITY MARINE OPERATION<br />

FIGURE 5: Contribution to cost reduction of different cost centers.<br />

Cost Reductions in the US Context<br />

Two scenarios were developed to illustrate how the cost reduction could be established in the US<br />

marketplace. The first scenario (the blue lines in Figure 6) shows how the cost would decline from today’s<br />

levels to the commercial opening cost level predicted by this study if the technologies stayed the same. Cost<br />

reductions in this case are largely based on economies of scale (going from 5 MW plants to 50 MW plants)<br />

and improvements in device reliability (eliminating the high failure rates typical in pilot and demonstration<br />

projects). From the projected opening cost, an 85 percent learning curve indicates predicted cost reductions<br />

as the cumulative installed capacity base grows beyond 100 MW. Figure 6 shows that the breakeven target for<br />

the lower 48 states, at which no subsidies would be required, occurs at about 50,000 MW cumulative global<br />

installed capacity. This point is very similar to the deployed capacity levels at which land-based wind started<br />

to become very competitive.<br />

The second scenario (the red line in Figure 6) shows what would happen if an accelerated research, development,<br />

and deployment (RD&D) strategy were pursued. Such an accelerated program could potentially reduce the<br />

CoE to a level of about 15 ¢/kWh within the first 100 MW of cumulative installed capacity. Cost projections<br />

extending out from the 100 MW point were assumed to follow a more traditional learning curve with an 85<br />

percent progress ratio. Figure 6 shows that the CoE would become competitive in Hawaii at a cumulative<br />

deployed capacity of less than 200 MW. The learning in this early adopter market would allow costs to be<br />

further reduced without any required subsidies, and therefore would minimize the public investment into the<br />

technology space. At a cumulative installed capacity of about 3,000 MW, wave power would then reach grid<br />

parity with the US mainland (lower 48 states and Alaska).

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