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GA-GOA hybrid algorithm and comparative study of different metaheuristic population-based algorithms for solar tower heliostat field design

  • Published:2022-06 Issue: Volume:192 Page:745-758
  • ISSN:0960-1481
  • Container-title:Renewable Energy
  • language:en
  • Short-container-title:Renewable Energy

Author:

Arrif Toufik,Hassani SamirORCID,Guermoui Mawloud,Sánchez-González A.ORCID,A.Taylor RobertORCID,Belaid AbdelfetahORCID

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference66 articles.

1. Renewables 2021 Global Status Report;Ren21,2021

2. High temperature central tower plants for concentrated solar power: 2021 overview;Merchán;Renew. Sustain. Energy Rev.,2021

3. Heliostat cost reduction study;Kolb;Sandia Natl. Lab. Albuq.,2007

4. Towards cost-competitive solar towers–Energy cost reductions based on decoupled solar combined cycles (DSCC);García-Barberena;Energy Proc.,2014

5. A review and classification of layouts and optimization techniques used in design of heliostat fields in solar central receiver systems;Rizvi,2021

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