Multi-Objective Particle Swarm Optimization-Based Optimization Model for Heliostat Field Design
Author:
Affiliation:
1. China University of petroleum-Beijing at karamay,Karamay,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10548022/10548040/10548269.pdf?arnumber=10548269
Reference13 articles.
1. Strategic positioning of solar thermal power generation to promote technologicalprogress[J];Wang;Huadian Technology,2021
2. Study on wind resistance design parameters of tower solar heliostat[J];Wu;Journal of Solar Energy,2021
3. A computational method for optimal design of the multi-tower heliostat field considering heliostats interactions
4. High accuracy data-driven heliostat calibration and state prediction with pretrained deep neural networks
5. Optimization of heliostat field layout in solar central receiver systems on annual basis using differential evolution algorithm
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