Performance of different optimization solvers for designing solar linear fresnel reflector power generation systems

M.P.G. Sirimanna; Jonathan Nixon; Mauro Innocente

doi:10.1007/978-3-031-30960-1_30

Performance of different optimization solvers for designing solar linear fresnel reflector power generation systems

M.P.G. Sirimanna, Jonathan Nixon, Mauro Innocente

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Abstract

Linear Fresnel Reflector (LFR) is an emerging solar thermal power generation technology that benefits from a simple and low-cost construction in comparison to more conventional Concentrating Solar thermal Power (CSP) generation technologies such as parabolic trough and power tower. Although LFR technology presents the drawbacks of lower energy conversion efficiency and higher energy cost, these can be offset by optimizing its design. This has not been sufficiently addressed due to the complex interactions between solar rays, heat transfer modes, and design variables. This work presents a systematic approach to select suitable optimization methods for the design of LFR systems. Thus, a mathematical model is developed to carry out simultaneous raytracing and thermal simulations aiming to provide an estimation of the system’s total conversion efficiency to be maximized. In order to compare the performance at solving this problem of a range of optimization algorithms with different characteristics, three derivative-based, two derivative-free, one population-based, and the simulated annealing methods are used in the numerical experiments. Only one design variable and a simple LFR system with a trapezoidal receiver are considered in the first instance. Only those algorithms which are successful at solving this simple problem are then tested on the optimal design with multiple variables. An exhaustive search is also conducted to check accuracy. Results show that pattern search, simulated annealing, and genetic algorithms perform best at solving the simulation-based LFR optimal design problem.

Original language	English
Title of host publication	Energy and Sustainable Futures
Subtitle of host publication	Proceedings of the 3rd ICESF, 2022
Editors	Jonathan D. Nixon, Amin Al-Habaibeh, Vladimir Vukovic, Abhishek Asthana
Publisher	Springer
Pages	323-332
Number of pages	10
ISBN (Electronic)	978-3-031-30960-1
ISBN (Print)	978-3-031-30959-5
DOIs	https://doi.org/10.1007/978-3-031-30960-1_30
Publication status	E-pub ahead of print - 12 Aug 2023
Event	3rd International Conference on Energy and Sustainable Futures (ICESF) - Coventry University, Coventry, United Kingdom Duration: 7 Sept 2022 → 8 Sept 2022 https://www.coventry.ac.uk/research/about-us/research-events/2022/icesf-2022/

Publication series

Name	Springer Proceedings in Energy
Publisher	Springer
ISSN (Print)	2352-2534
ISSN (Electronic)	2352-2542

Conference

Conference	3rd International Conference on Energy and Sustainable Futures (ICESF)
Abbreviated title	ICESF 2022
Country/Territory	United Kingdom
City	Coventry
Period	7/09/22 → 8/09/22
Internet address	https://www.coventry.ac.uk/research/about-us/research-events/2022/icesf-2022/

Bibliographical note

This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Keywords

Concentrating solar thermal power (CSP)
Pattern search
Genetic algorithm
Simulated annealing
Ray-tracing

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10.1007/978-3-031-30960-1_30Licence: CC BY

PublishedFinal published version, 697 KBLicence: CC BY

Cite this

Sirimanna, M. P. G., Nixon, J., & Innocente, M. (2023). Performance of different optimization solvers for designing solar linear fresnel reflector power generation systems. In J. D. Nixon, A. Al-Habaibeh, V. Vukovic, & A. Asthana (Eds.), Energy and Sustainable Futures: Proceedings of the 3rd ICESF, 2022 (pp. 323-332). (Springer Proceedings in Energy). Springer . Advance online publication. https://doi.org/10.1007/978-3-031-30960-1_30

Performance of different optimization solvers for designing solar linear fresnel reflector power generation systems. / Sirimanna, M.P.G.; Nixon, Jonathan ; Innocente, Mauro.
Energy and Sustainable Futures: Proceedings of the 3rd ICESF, 2022. ed. / Jonathan D. Nixon; Amin Al-Habaibeh; Vladimir Vukovic; Abhishek Asthana. Springer , 2023. p. 323-332 (Springer Proceedings in Energy).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Sirimanna, MPG , Nixon, J & Innocente, M 2023, Performance of different optimization solvers for designing solar linear fresnel reflector power generation systems. in JD Nixon, A Al-Habaibeh, V Vukovic & A Asthana (eds), Energy and Sustainable Futures: Proceedings of the 3rd ICESF, 2022. Springer Proceedings in Energy, Springer , pp. 323-332, 3rd International Conference on Energy and Sustainable Futures (ICESF) , Coventry, United Kingdom, 7/09/22. https://doi.org/10.1007/978-3-031-30960-1_30

Sirimanna MPG , Nixon J , Innocente M. Performance of different optimization solvers for designing solar linear fresnel reflector power generation systems. In Nixon JD, Al-Habaibeh A, Vukovic V, Asthana A, editors, Energy and Sustainable Futures: Proceedings of the 3rd ICESF, 2022. Springer . 2023. p. 323-332. (Springer Proceedings in Energy). Epub 2023 Aug 12. doi: 10.1007/978-3-031-30960-1_30

Sirimanna, M.P.G. ; Nixon, Jonathan ; Innocente, Mauro. / Performance of different optimization solvers for designing solar linear fresnel reflector power generation systems. Energy and Sustainable Futures: Proceedings of the 3rd ICESF, 2022. editor / Jonathan D. Nixon ; Amin Al-Habaibeh ; Vladimir Vukovic ; Abhishek Asthana. Springer , 2023. pp. 323-332 (Springer Proceedings in Energy).

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ER -

Performance of different optimization solvers for designing solar linear fresnel reflector power generation systems

Abstract

Publication series

Conference

Bibliographical note

Keywords

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