Nanotechnology is emerging with the biosynthesis of silver nanoparticles which is toxic free and friendly with the environment. Out of all the biosynthesis methods, plant extracts are more predominantly used which is readily available, and it is a least cost method. The plants have secondary metabolites such as phenolic compounds named as flavonoids; tannins are turned to be the reluctant to synthesize silver nanoparticles (AgNPs) from silver nitrate. The plant chosen to synthesize silver nanoparticles is the Hibiscus rosasinensis for the reason of the presence of various biomolecules. The reduction and stabilization process are performed due to the biomolecules. Silver nanoparticles produced from the Hibiscus plant are easier than the conventional method. The formation of nanoparticle of silver is indicated by the maximum absorbance peak at a wavelength of 458 nm obtained from the leaf and the bark extracts. The antimicrobicidal effects on various microbes were examined, and it is proved that bark produced better results.

This paper presents the design and performance analysis of Differential Evolution (DE) algorithm based Proportional-Integral-Derivative (PID) controller for temperature control of Continuous Stirred Tank Reactor (CSTR) plant in chemical industries. The proposed work deals about the design of Differential Evolution (DE) algorithm in order to improve the performance of CSTR. In this, the process is controlled by controlling the temperature of the liquid through manipulation of the coolant flow rate with the help of modified Model Reference Adaptive Controller (MRAC). The transient response of temperature process is improved by using PID Controller, Differential Evolution Algorithm based PID and fuzzy based DE controller. Finally, the temperature response is compared with experimental results of CSTR.

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In this paper, a modified resonant voltage multiplier rectifier (RVMR) has been developed to improve the voltage gain and efficiency of the proposed converter on PV interconnected renewable energy systems. To acquire the most energy from the PV source, the improved RVMR scheme uses an altered Perturb and Observe (P&O)-based MPPT approach. This paper develops a modified variable step size P&O MPPT algorithm that can increase the PV system’s dynamic and steady-state performance at the same time. The recommended variable step size technique addresses the constraints of traditional P&O MPPT. The suggested study uses the MATLAB/Simulink environment to analyze and evaluate voltage gain and efficiency.