Modeling and Optimization of Concentrated Solar Thermal System

Abstract

This chapter discussed the modeling and optimization of concentrated solar thermal (CST) system using data envelopment analysis-based ranking (DEAR) method. Experimentation on CST under different environment (i.e., summer and winter season) of Silchar (Southern Assam, India) conditions is done. In order to improve the temperature (T), height of the receiver, that is, summer height and winter height (hs and hw) for summer and winter conditions, CST parameters are optimized. Study concludes that performance of CST under considered environments is feasible and use of Data envelopment analysis based ranking (DEAR) method found feasible and provides optimal results. Additionally, ANOVA analysis is carried out to determine the significance and adequacy of the developed model. The results show that all the response parameters are the major parameters for CST system and also model fitted data well fitted with experimental result within the 95% confidence level. At last, confirmatory test are conducted to verify and validate the proposed method with the experimental results.