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LEVELIZED COST OF ELECTRICITY (LCOE) (2) answer(s).
 
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ID:   149869


Austria's wind energy potential – a participatory modeling approach to assess socio-political and market acceptance / Holtinger, Stefan; Salak, Boris ; Schauppenlehner, Thomas ; Scherhaufer, Patrick   Journal Article
Holtinger, Stefan Journal Article
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Summary/Abstract Techno-economic assessments confirm the potential of wind energy to contribute to a low carbon bioeconomy. The increasing diffusion of wind energy, however, has turned wind energy acceptance into a significant barrier with respect to the deployment of wind turbines. This article assesses whether, and at what cost, Austrian renewable energy targets can be met under different expansion scenarios considering the socio-political and market acceptance of wind energy. Land-use scenarios have been defined in a participatory modeling approach with stakeholders from various interest groups. We calculated the levelized cost of electricity (LCOE) for all of the potential wind turbine sites, which we used to generate wind energy supply curves. The results show that wind energy production could be expanded to 20% of the final end energy demand in three out of four scenarios. However, more restrictive criteria increase LCOE by up to 20%. In contrast to common views that see local opposition against wind projects as the main barrier for wind power expansion, our participatory modeling approach indicates that even on the level of key stakeholders, the future possible contribution of wind energy to Austrian renewable energy targets reaches from almost no further expansion to very high shares of wind energy.
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ID:   167037


Profitability of onshore wind and solar PV power projects in China - A comparative study / Tu, Qiang   Journal Article
Tu, Qiang Journal Article
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Summary/Abstract Despite the rapid development of renewable energy power in China, the sector is facing significant challenges in the form of declining feed-in tariffs (FIT) and serious curtailment problems. However, in the long-run the nationwide carbon emission trading system may provide a new economic incentive to invest in renewable energy projects in China. Against this background, we assess the effect of gradually declining FIT on the profitability of renewable energy power projects in China and evaluate the potential of a carbon price to overcome the resulting financial gap. Based on a dataset of 1552 onshore wind and 414 solar PV power projects from 2010 to 2015, we first estimate the levelized cost of electricity (LCOE) for onshore wind and solar PV investments. We then estimate profitability using different carbon prices and varying levels of FIT. Our findings suggest that revenues from selling certified carbon emissions reductions in the carbon market can compensate partially for the revenue losses caused by declining FIT. However, the current carbon prices of China's carbon-emission trading pilot schemes are not sufficiently high to compensate for revenue losses. For 90% of PV projects to remain profitable with lower FIT, the carbon price would need to rise to USD 64/t of CO2. For on-shore wind plants, lower carbon price levels of up to USD 41/t CO2 would be sufficient.
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