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Long-Term Costs of Electricity Generation in Germany: Optimising the Inclusion of Wind Power

机译:德国的长期发电成本:优化风电的纳入

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Due to the expected installed capacity of wind power in Germany in combination with the fade out of conventional electricity generation within the next years, the overall German power plant capability can be changed to be cost effective and to meet CO_2-emission targets. A new energy-economical model called WEsER has been developed to investigate the new situation. This optimizes the conventional power plant generation during one year at hourly resolution, so including wind energy characteristics. The main objective year is 2020. Proposed structures and operation timetables for power plants are calculated. Consequently, WEsER results suggest a new structure of electricity generation mix with large amounts of wind energy. The energy generation share of today's "base load" power stations will decrease, while gas and hard coal complete the generation mix with wind. Economic analysis shows that the additional costs of wind energy are a minimum when emission reduction targets are met.
机译:由于德国风力发电的预期装机容量以及未来几年内常规发电的逐渐消失,德国发电厂的整体发电能力可以改变为具有成本效益并达到CO_2排放目标。已经开发了一种称为WEsER的新能源经济模型来调查新情况。这可以在一年内以小时分辨率优化常规发电厂的发电量,从而包括风能特性。主要目标年份是2020年。计算出了电厂的建议结构和运行时间表。因此,WEsER结果表明了一种具有大量风能的新型发电结构。如今,“基本负荷”发电站的发电份额将下降,而天然气和硬煤将发电与风混合在一起。经济分析表明,达到减排目标后,风能的额外成本将降至最低。

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