Application of Simulated Annealing for Inverse Analysis of a Single-Glazed Solar Collector

Das, Ranjan

doi:10.1007/978-3-319-11218-3_25

Cited by 6 publications

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The method of inverse heat analysis is a promising solution to acquire the temperature field and heat input of a thermal system with limited number of measurement points . There have been some different optimization algorithms that were used to realize the inverse analysis of flat‐plate solar collector, which are artificial bee colony algorithm, simulated annealing‐based evolutionary optimization algorithm, binary‐coded genetic algorithm, and hybrid evolutionary algorithm . Also, R. Das adopted 2 direct search methods and an evolutionary method to predict some thermal parameters of a flat‐plate solar collector .…”

Section: Introductionmentioning

confidence: 99%

Real-time thermal states monitoring of absorber tube for parabolic trough solar collector with non-uniform solar flux

Wang

Zhang

et al. 2017

Int J Energy Res

View full text Add to dashboard Cite

Summary With the world energy shortage problem becoming increasingly prominent, more and more attentions have been paid to the development of renewable energies. Among these sources, solar energy has received extensive attention with its excellent characteristics. The thermal state affects the safety of the solar heat collection system. In this paper, real‐time monitoring of the input heat flux on the inside wall and the temperature field simultaneously of an absorber tube for parabolic trough solar collector were studied. Based on the measured temperatures on the outside wall, the fuzzy adaptive Kalman filter coupled with weighted recursive least squares algorithm (WRLSA) was employed to monitor the heat states of the absorber tube inversely, in which WRLSA was used to acquire the heat flux while fuzzy adaptive Kalman filter was adopted to monitor the temperature field. The method showed strong robustness to resist the ill‐posedness. Accurate monitoring results also can be acquired when there are random disturbances of the heat transfer condition on the inner wall.

show abstract

Section: Introductionmentioning

confidence: 99%