Data for Solar Field Output Temperature Optimization Using a MILP Algorithm and a 0D Model in the Case of a Hybrid Concentrated Solar Thermal Power Plant for SHIP Applications

These data were generated for the Open-Acces Article : Kamerling, S.; Vuillerme, V.; Rodat, S. Solar Field Output Temperature Optimization Using a MILP Algorithm and a 0D Model in the Case of a Hybrid Concentrated Solar Thermal Power Plant for SHIP Applications. Energies 2021, 14, 3731. https://doi.org/10.3390/en14133731 In these dataset, the data for the Case Study and the Sensitivity Analysis are available. Jupyter Notebooks for further process of these data are also available. The NoteBooks AnalyseHourlyValues, AnalyseDailyValues and AnalyseMonthlyValues allow for easy change of variable, whereas CaseStudyAnalysis is for one specific set of data. The AnalyseSets were created in order to analyse the influence of the optimization on the solar fraction of the different datasets.

本数据集系为以下开放获取论文所生成：Kamerling, S.; Vuillerme, V.; Rodat, S. 面向船舶应用的混合聚光太阳能热电厂场景下，基于混合整数线性规划（MILP）算法与零维（0D）模型的太阳能场出口温度优化. Energies 2021, 14, 3731. https://doi.org/10.3390/en14133731。本数据集涵盖案例研究与敏感性分析相关数据，同时提供用于该数据集后续处理的Jupyter Notebook文件。其中，AnalyseHourlyValues、AnalyseDailyValues与AnalyseMonthlyValues三款Notebook支持便捷修改变量，而CaseStudyAnalysis仅适用于单一组特定数据集。AnalyseSets系列Notebook旨在分析优化操作对不同数据集太阳能占比的影响。