Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/8C754FCD-C71F-41E2-B634-41775ACDFD17 | ||
| Year | 2019 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Sofia Polomarkaki, "Study of Concentrating Solar Power (CSP) station and simulation using software", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2019 https://doi.org/10.26233/heallink.tuc.81574 | ||
| Appears in Collections |
The technology of CSP (Concentrated Solar Power systems) has become very popular in the recent years. The purpose of the present thesis is to study modeling, optimal sizing and LC-cycle analysis of a Concentrated Solar Power Tower (CSP) station. A Literature overview is done about the available programs (software) for modeling and simulation of Concentrated Solar Power Tower (CSP) plants. The aim of this thesis is to propose an optimization study how to optimal design the size of a solar tower power system, as also to minimize the capitalization cost and to maximize the energy dispatch capacity. In this thesis modeling of a CSP and its optimization of all parameters is implemented, using the free program SAM by National Renewable Energy Laboratory (NREL). Parametric studies are performed for the same localization of a CSP, focusing on 3 factors that affect the performance of the CSP system, the tower height, the solar multiple and the design point DNI, in order to understand how they affect the overall power output of the plant and the LCOE. A detailed presentation of the plant data used is presented, analyzing the values of the variables and then the optimization procedure of CSP system in SAM follows, resulting in the layout of the solar field and basic features of the optimized CSP station. The optimization of the CSP's sizing is done, analyzing the inserted data. After that the LC-cycle-analysis procedure for 25 years in SAM is explained, explaining the used priced due to national laws in Greece and energy trade. Scenarios simulation and results in SAM are implemented for 22 scenarios. For every scenario one factor remains constant on an optimal empirical value, scaling the rest. SAM gives results, tables and diagrams that enabled us understand the behavior of the CSP system through changes. Comparing these results and especially focusing on energy cost and energy production, our conclusions are made. The solar field geometry for every scenario is examined in order to see how the solar field geometry changed, affected by scenarios. The final optimal scenario with the best values of the CSP factors is presented and the results are compared. The results are positive and CSP seems to be sustainable projects.
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