Thermoeconomic optimization of a combined-cycle solar tower power plant

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• 作者：James Spelling^a ; ^b ; ^{spelling@kth.se} ; Daniel Favrat^a ; Andrew Martin^b ; Germain Augsburger^a
• 关键词：Solar thermal power ; Combined-cycle ; Multi-objective optimization ; Thermo-economics
• 刊名：Energy
• 出版年：2012
• 期刊代码：11_03605442
• 类别：pw
• 出版时间：May, 2012
• 卷：41
• 期：1
• 页码：113-120
• 文件大小：756 K

摘要

A dynamic model of a pure-solar combined-cycle power plant has been developed in order to allow determination of the thermodynamic and economic performance of the plant for a variety of operating conditions and superstructure layouts. The model was then used for multi-objective thermoeconomic optimization of both the power plant performance and cost, using a population-based evolutionary algorithm. In order to examine the trade-offs that must be made, two conflicting objectives will be considered, namely minimal investment costs and minimal levelized electricity costs. It was shown that efficiencies in the region of 18-24%can be achieved, and this for levelized electricity costs in the region of 12-24聽UScts/kWh_e, depending on the magnitude of the initial investment, making the system competitive with current solar thermal technology.