Two-stage Monte Carlo simulation to forecast levelized cost of electricity for wave energy

D. Sunter, Bryan Murray, Marcus Lehmann, Rachael Green, Bryant Ke, Brooke Maushund, Darnel M. Kammen
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引用次数: 9

Abstract

The technically recoverable global wave energy resource is estimated to be between 2 PWh/year and 5 5 PWh/year, approximately 12% and 32% of global electricity consumption Despite wave energy's vast global potential, there has been relatively little commercial deployment to date. There is large variation in both the current estimated and future expected electricity generation costs associated with wave technologies. This paper quantifies a forecasted levelized cost of electricity (LCOE) for wave energy by performing a two-stage Monte Carlo simulation, considering both the variability in current LCOE estimates and uncertainty in the one-factor learning rate. We compare the forecasted LCOE to wave energy targets of the European Union and U.S. Department of Energy and show the criticality of support mechanisms to achieve learning rates that lead to economic competitiveness in the utility-scale markets.
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两阶段蒙特卡罗模拟预测波浪能的平准化电力成本
全球波浪能的技术可采资源量估计在2至5.5 PWh/年之间,约占全球用电量的12%至32%。尽管波浪能具有巨大的全球潜力,但迄今为止,波浪能的商业应用相对较少。与波浪发电技术相关的当前估计和未来预期发电成本存在很大差异。考虑到当前LCOE估计的可变性和单因素学习率的不确定性,本文通过执行两阶段蒙特卡罗模拟来量化波浪能的预测平准化电力成本(LCOE)。我们将预测的LCOE与欧盟和美国能源部的波浪能目标进行了比较,并展示了支持机制的重要性,以实现学习率,从而在公用事业规模的市场中具有经济竞争力。
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