This research aims to avoid damage in power plant boiler steam generation by using Artificial Neural Network techniques (ANN) to improve the boiler performance. The training and testing using ANN by Back Propagation (BP) algorithm. The inputs to the neural network such factors which include air fuel ratio, water level, flame, gas, pressure and temperature. Control of the optimum input variables represent the output of the neural network. Experimental data is obtained by using an industrial boiler operating at AL-Dura power plant.the method of control by ANN is offline ,the information of boiler taken from real plant and applied in matlab program for training ANN to taken right decision for control of boiler. ANN results were used in the control of thermal parameters based on the software program Matlab\simulink and showed that the maximum deviation between experimental data is less than 0.01 from the predicted results of the neural network in comparison to the results with modeling of the match at High Rate with actual power plant. It is recommend that Artificial Neural Network techniques (ANN) can be used to predicate and optimization the performance of a power plant and many problem can be solve in engineering applications.

Increasing ETSC's efficiency by using Finned electronic curtain and Nano fluids .• Using of finned electronic curtain increased sun rays on the ETSC's that increases the system efficiency. • Efficiency improvement with TiO2 are 7.03%, 9.16%, and 11.89%, respectively. • using artificial intelligent (FLC-ANN) to predict the thermal parameters of ETSCs.This paper studies the improvement of an evacuated tube solar collectors(ETSCs) performance in two way. The first is by adding a finned electronic curtain in front of the solar collector. While the second is by using a nanofluid instead of pure water. The purpose of the curtain is to increase the amount of solar radiation reflected toward the collector. The curtain is distinguished by its self-ability to track the sun's rays automatically. The electronic curtain is also closed to shade the tubes depending on the movement of the electronic curtain's fins and the nanofluid's temperatures. MATLAB algorithm has been used to design the Simulink model and control the system using Fuzzy Logic Control (FLC) and Artificial Neural Network (ANN). The results showed that the system performance improved using TiO2(50nm)+PW) as a working fluid without the curtain are (3.906%,5.34%, and7.407%), while the rate of improvement in the case of distilled water only was 2.34%and3.81%. Finally, by adding the finned electronic curtain to the system and use of TiO2(50nm)+PW) as a working fluid, the efficiency increased by 7.03%,9.16%, and 11.89%. The results showed that the performance of evacuated tubes solar collectors increased by using a nanofluid and the finned electronic curtain.

In This Paper is designed electromechanical machine and running down the industrial bump untapp..ed so kinetic energy of the vehicle as it passes on the bump, this mechanism working principle of vertical movement of the descent of bump shift about 12 cm certified so the springs and gears group (rack and pinion gear), which kills it for circulation (Large Sprocket), which in turn will rotate (Small Sprocket) with a chain and then rotating the Dynamo and will in turn charges the battery. Practical experiments have been an achieved on the mechanism in the road, used vehicle is kind SAIBA success of mechanism has been proved in bearing the load also good performance; It also features power generation when moving down and reversing movement to the top.