Abd Halim Shamsuddin

TL;DR: In this paper, an extreme learning machine integrated with cuckoo search algorithm was developed to predict and optimize the process parameters of microwave irradiation-assisted transesterification process conditions.

TL;DR: A review of the previous studies and papers for integrating solar thermal energy with conventional and non-conventional power plants was carried out in this paper, where the focus on hybrid solar conventional power plants includes: the review of studies of hybrid solar steam cycle power plants, integrated solar combined-cycle systems (ISCCS), and hybrid solar-gas turbine power plants.

TL;DR: In this article, the authors comprehensively review the anaerobic digestion (AD) process utilising the organic fraction of municipal solid waste (OFMSW) substrate and find that the continuous digestion with thermophilic temperatures is the best condition for high solid AD process.

TL;DR: In this paper, Artificial Neural Networks (ANN) and Ant Colony Optimization (ACO) were used to optimize the process variables for alkaline-catalyzed transesterification of CI40CP60 oil mixture.

TL;DR: In this paper, a Box-Behnken experimental design was used to optimise the transesterification process and the process variables were explored and the optimum methanol to oil molar ratio, catalyst concentration, reaction temperature, and reaction time were 8:1, 1.2, and 1.39%.