Experts anticipate cost reductions of 24%-30% by 2030 and 35%-41% by 2050, under a median or 'best guess' scenario, driven by bigger and more efficient turbines, lower capital and operating costs, and other advancements
Berkeley Lab Study
Continued Reductions in Wind Energy Costs
Contributed by | Lawrence Berkeley National Laboratory
Technology advancements are expected to continue to drive down the cost of wind energy, according to a survey of the world's foremost wind power experts led by Lawrence Berkeley National Laboratory (Berkeley Lab). Experts anticipate cost reductions of 24%-30% by 2030 and 35%-41% by 2050, under a median or 'best guess' scenario, driven by bigger and more efficient turbines, lower capital and operating costs, and other advancements (see Figure 1).
The findings are described in an article in the journal Nature Energy. The study was led by Ryan Wiser, a senior scientist at Berkeley Lab, and included contributions from other staff from Berkeley Lab, the National Renewable Energy Laboratory, University of Massachusetts, and participants in the International Energy Agency Wind (IEA) Wind Technology Collaboration Programme Task 26.
The study summarizes a global survey of 163 wind energy experts to gain insight into the possible magnitude of future wind energy cost reductions, the sources of those reductions, and the enabling conditions needed to realize continued innovation and lower costs. Three wind applications were covered: onshore (land-based) wind, fixed-bottom offshore wind, and floating offshore wind.
"Wind energy costs have declined dramatically in recent years, leading to substantial growth in deployment. But we wanted to know about the prospects for continued technology advancements and cost reductions," said Wiser. "Our 'expert elicitation' survey complements other methods for evaluating cost-reduction potential by shedding light on how cost reductions might be realized and by clarifying the important uncertainties in these estimates."
Significant opportunities for, but uncertainty in, cost reductions
Under a 'best guess' (or median) scenario, experts anticipate 24%-30% reductions in the levelized cost of energy by 2030 and 35%-41% reductions by 2050 across the three wind applications studied, relative to 2014 baseline values (Figure 1). In absolute terms, onshore wind is expected to remain less expensive than offshore, at least for typical projects-and fixed-bottom offshore wind less expensive than floating wind plants (see Figure 2). However, there are greater absolute reductions (and more uncertainty) in the levelized cost of energy for offshore wind compared with onshore wind, and a narrowing gap between fixed-bottom and floating offshore wind.
Figure 2. Expert estimates of median-scenario LCOE
Multiple drivers for cost reduction; larger turbines on the horizon
There are five key components that impact the cost of energy: up-front capital cost (CapEx), ongoing operating costs (OpEx), cost of financing (WACC), performance (capacity factor), and project design life. Recent years have seen significant reductions in the up-front cost of wind projects as well as increases in wind project performance, as measured by the capacity factor of wind facilities. Experts anticipate continued improvements in these two overall cost drivers, as well as reduced operating costs, longer project design lives, and reductions in the cost of finance, with the relative impact of each driver dependent on the wind application in question (Figure 1).
A key change will be in the size of wind turbines, according to experts (Figure 1). For onshore wind, growth is expected not only in generator ratings (to 3.25 MW on average in 2030) but also in two factors that increase capacity factors-rotor diameters (135 meters in 2030) and hub heights (115 meters in 2030). Fixed-bottom offshore wind turbines are expected to get even bigger, to 11 MW on average in 2030, helping to reduce up-front installed costs. A wide array of other advancement opportunities were also identified, with the top-five impact categories for each wind application listed in Figure 1.
Comparison to other estimates of wind energy costs
Expert views on the future overall levelized cost of onshore wind are consistent with the level of historically-observed improvements (Figure 4).
However, a comparison of survey results to the broader wind forecasting literature shows that experts are, in general, more bullish on the prospects for further cost declines for onshore wind than the broader literature. One possible reason for this discrepancy is that the pre-existing literature for onshore wind sometimes focuses primarily on reductions in the up-front cost of wind projects, while expert survey results demonstrate that such improvements are only one means of achieving overall levelized cost of energy reductions. The existing literature may therefore understate the opportunity for further cost reductions for onshore wind.
"Onshore wind technology is fairly mature, but further advancements are on the horizon-and not only in reduced up-front costs," says Wiser. "Experts anticipate a wide range of advancements that will increase project performance, extend project design lives, and lower operational expenses. Offshore wind has even-greater opportunities for cost reduction, though there are larger uncertainties in the degree of that reduction."
"Though expert surveys are not without weaknesses, these results can inform policy discussions, R&D decisions, and industry strategy development while improving the representation of wind energy in energy-sector and integrated-assessment models," concludes Wiser.
The survey was conducted under the auspices of the IEA Wind Technology Collaboration Programme (www.ieawind.org). Berkeley Lab's contributions to this report were funded by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy.
The Nature Energy article can be found here.
A full report on the survey findings is also available, as are presentation-style slide decks summarizing the results; all these files can be downloaded at the bottom of this page.
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