An Analytical Approach to Power Optimization of Concentrating Solar Power Plants with Thermal Storage
This paper deals with the problem of determining the optimal capacity of concentrated solar power (CSP) plants, especially in the context of hybrid solar power plants. This work presents an innovative analytical approach to optimizing the capacity of concentrated solar plants. The proposed method is...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-09-01
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| Series: | Solar |
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| Online Access: | https://www.mdpi.com/2673-9941/4/3/24 |
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| author | Andrii Cheilytko Spiros Alexopoulos Andriy Pozhuyev Oliver Kaufhold |
| author_facet | Andrii Cheilytko Spiros Alexopoulos Andriy Pozhuyev Oliver Kaufhold |
| author_sort | Andrii Cheilytko |
| collection | DOAJ |
| description | This paper deals with the problem of determining the optimal capacity of concentrated solar power (CSP) plants, especially in the context of hybrid solar power plants. This work presents an innovative analytical approach to optimizing the capacity of concentrated solar plants. The proposed method is based on the use of additional non-dimensional parameters, in particular, the design factor and the solar multiple factor. This paper presents a mathematical optimization model that focuses on the capacity of concentrated solar power plants where thermal storage plays a key role in the energy source. The analytical approach provides a more complete understanding of the design process for hybrid power plants. In addition, the use of additional factors and the combination of the proposed method with existing numerical methods allows for more refined optimization, which allows for the more accurate selection of the capacity for specific geographical conditions. Importantly, the proposed method significantly increases the speed of computation compared to that of traditional numerical methods. Finally, the authors present the results of the analysis of the proposed system of equations for calculating the levelized cost of electricity (LCOE) for hybrid solar power plants. The nonlinearity of the LCOE on the main calculation parameters is shown. |
| format | Article |
| id | doaj-art-d877ccdd0ab247fdb772e2ecd3ef0f81 |
| institution | OA Journals |
| issn | 2673-9941 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Solar |
| spelling | doaj-art-d877ccdd0ab247fdb772e2ecd3ef0f812025-08-20T01:55:52ZengMDPI AGSolar2673-99412024-09-014350952510.3390/solar4030024An Analytical Approach to Power Optimization of Concentrating Solar Power Plants with Thermal StorageAndrii Cheilytko0Spiros Alexopoulos1Andriy Pozhuyev2Oliver Kaufhold3German Aerospace Center (DLR), Institute of Solar Research, Langenbroich 13, 52428 Jülich, GermanySolar-Institut Jülich, University of Applied Sciences FH Aachen, Heinrich-Mußmann-Str. 5, 52428 Jülich, GermanyDepartment of Fundamental and Applied Mathtematics, Zaporizhzhia National University, Zhukovsky St. 66, 69600 Zaporizhzhia, UkraineGerman Aerospace Center (DLR), Institute of Solar Research, Langenbroich 13, 52428 Jülich, GermanyThis paper deals with the problem of determining the optimal capacity of concentrated solar power (CSP) plants, especially in the context of hybrid solar power plants. This work presents an innovative analytical approach to optimizing the capacity of concentrated solar plants. The proposed method is based on the use of additional non-dimensional parameters, in particular, the design factor and the solar multiple factor. This paper presents a mathematical optimization model that focuses on the capacity of concentrated solar power plants where thermal storage plays a key role in the energy source. The analytical approach provides a more complete understanding of the design process for hybrid power plants. In addition, the use of additional factors and the combination of the proposed method with existing numerical methods allows for more refined optimization, which allows for the more accurate selection of the capacity for specific geographical conditions. Importantly, the proposed method significantly increases the speed of computation compared to that of traditional numerical methods. Finally, the authors present the results of the analysis of the proposed system of equations for calculating the levelized cost of electricity (LCOE) for hybrid solar power plants. The nonlinearity of the LCOE on the main calculation parameters is shown.https://www.mdpi.com/2673-9941/4/3/24concentrated solar powerthermal storagehybrid solar power plantsdesign factorsolar multiple factoroptimization model |
| spellingShingle | Andrii Cheilytko Spiros Alexopoulos Andriy Pozhuyev Oliver Kaufhold An Analytical Approach to Power Optimization of Concentrating Solar Power Plants with Thermal Storage Solar concentrated solar power thermal storage hybrid solar power plants design factor solar multiple factor optimization model |
| title | An Analytical Approach to Power Optimization of Concentrating Solar Power Plants with Thermal Storage |
| title_full | An Analytical Approach to Power Optimization of Concentrating Solar Power Plants with Thermal Storage |
| title_fullStr | An Analytical Approach to Power Optimization of Concentrating Solar Power Plants with Thermal Storage |
| title_full_unstemmed | An Analytical Approach to Power Optimization of Concentrating Solar Power Plants with Thermal Storage |
| title_short | An Analytical Approach to Power Optimization of Concentrating Solar Power Plants with Thermal Storage |
| title_sort | analytical approach to power optimization of concentrating solar power plants with thermal storage |
| topic | concentrated solar power thermal storage hybrid solar power plants design factor solar multiple factor optimization model |
| url | https://www.mdpi.com/2673-9941/4/3/24 |
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