Optimization of solar thermal power station LCOE based on NSGA-Ⅱ algorithm
In view of the high cost of solar thermal power generation in China,it is difficult to realize large-scale production in engineering and industrialization.Non-dominated sorting genetic algorithm Ⅱ（NSGA-Ⅱ）is applied to optimize the levelling cost of energy（LCOE）of the solar thermal power generation s...
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| Principais autores: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Publishing Center of North University of China
2018-01-01
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| Serija: | Journal of Measurement Science and Instrumentation |
| Teme: | |
| Online dostop: | http://jmsi.publish.founderss.cn/thesisDetails?columnId=47038018&Fpath=home&index=0 |
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