Xiaowei Zhao

TL;DR: In this article, an adaptive neuro-fuzzy inference system (ANFIS) optimized with particle swarm optimization (PSO) algorithm and multilayer perceptron neural network optimized with PSO algorithm (MLP-PSO), is proposed for modeling the geothermal organic Rankin cycle (GORC) equipped with solar thermal unit.

TL;DR: In this article, the authors proposed Fe3O4/water nanofluid under magnetic field as the secondary fluid in the double pipe heat exchanger before the cavern, which is used to warm up the air that leaves the cavern for expanding in the turbine.

TL;DR: The test results in different cases are highly consistent with each other and validate that very minor accuracy differences exist among these approaches and they all can achieve the relative accuracy of around 99% or more, which is sufficiently accurate for practical applications.

TL;DR: The results show that this novel dynamic wind farm wake model can predict the main features of unsteady wind turbine wakes similarly as high-fidelity wake models while running as fast as the low-f fidelity static wake models and that the model’s overall prediction error is just 4.8% with respect to the freestream wind speed.

TL;DR: How artificial intelligence techniques may play an important role in addressing the need for thermo-economic sizing of a solar power tower system with a thermal energy storage system is demonstrated.