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

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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 languageEnglish
Title of host publicationEnergy and Sustainable Futures
Subtitle of host publicationProceedings of the 3rd ICESF, 2022
Editors Jonathan D. Nixon, Amin Al-Habaibeh, Vladimir Vukovic, Abhishek Asthana
PublisherSpringer
Pages323-332
Number of pages10
ISBN (Electronic)978-3-031-30960-1
ISBN (Print)978-3-031-30959-5
DOIs
Publication statusE-pub ahead of print - 12 Aug 2023
Event3rd International Conference on Energy and Sustainable Futures (ICESF) - Coventry University, Coventry, United Kingdom
Duration: 7 Sept 20228 Sept 2022
https://www.coventry.ac.uk/research/about-us/research-events/2022/icesf-2022/

Publication series

NameSpringer Proceedings in Energy
PublisherSpringer
ISSN (Print)2352-2534
ISSN (Electronic)2352-2542

Conference

Conference3rd International Conference on Energy and Sustainable Futures (ICESF)
Abbreviated titleICESF 2022
Country/TerritoryUnited Kingdom
CityCoventry
Period7/09/228/09/22
Internet address

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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