Journal
RENEWABLE ENERGY
Volume 99, Issue -, Pages 280-288Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2016.07.007
Keywords
Biomass power; Investment cost; Levelized costs of electricity (LCOE)
Funding
- Grant for Collaborative Innovation Center for Energy Economics and Energy Policy [1260-Z0210011]
- Xiamen University [1260-Y07200]
- Newcastle University Joint Strategic Partnership Fund
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To explain the factors influencing the cost of biomass power in China, we applied an improved model of learning curves in this paper. The impact of cumulative installed capacity of biomass power and other factors on the cost of biomass technology were investigated. The results showed that installed capacity expansion has led to significant cost reduction. Meanwhile, the effect of economies of scale was observed in the analysis of generation cost. The ownership structure of the firm and the size of the developer had no influence on the learning effects and stronger policy support may, ironically, produce negative incentive effects on technology improvement. (C) 2016 Elsevier Ltd. All rights reserved.
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