Published June 21, 2021 | Version v1

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

  • 1. CEA
  • 2. CNRS-PROMES

Description

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.

Files

CaseStudy.zip

Files (189.5 MB)

Name Size
md5:2ac933b76fc9badeaf47c566226ecf6b
3.4 MB Preview Download
md5:68758983cc63424ae514d6eed034aec3
186.2 MB Preview Download

Additional details

Funding

European Commission
FRIENDSHIP - Forthcoming Research and Industry for European and National Development of SHIP 884213