The carbon dioxide (CO2) emissions from thermoelectric power plants contribute to global warming. Monoethanolamine (MEA) solution is the most widely used solvent for CO2 removal processes these with disadvantage that it expensive and corrosive at high concentrations. In this work, an experimental methodology developed fix operating flow ratio (L/G) ensures maximum absorption capacity of MEA solution. system prototype saturation technique are detailed. main parameters were amount (0.65 1.30...

Artificial neural network model was developed to obtain the fluid outlet temperature of parabolic trough collector (PTC) with a grooved absorber tube.To improve accuracy model, an analysis transfer functions performed at different normalization intervals choose best capable estimating PTC temperature.A first that used as base from 1,155 concordant experimental data.The variables were input fluid, ambient temperature, irradiance, hour, day, configuration, volumetric flow, feeding and storage...

In this work, the estimation of crack initiation life a hydraulic Francis turbine runner is presented. The prediction based on local strain approach to predict life. First, analysis carried out in air and water condition runner's natural frequencies were calculated using finite element (FE) method. compared with experimental order have representative model real subsequently numerical was perform water. case immersed water, added mass effect due fluid structure interaction (FSI) considered....

In this paper, the design and performance of small Organic Rankine Cycle (ORC) coupled to parabolic trough solar collector (PTC) are showed. The system is analyzed using first second laws thermodynamics. This ORC designed provide 10 kWe for almost 18 hours every day also energy heat water. main components are: a) concentrators (PTC), b) thermal storage c) system, which uses R245fa as working fluid a radial turbine expander. operate in Temixco, city located at central region México. radiation...

We present a solution for an inverse heat transfer problem involving internal generation using artificial neural networks. The involves conduction with source in cylindrical coordinates. network is feedforward backpropagation algorithm. compare the results Levenberg-Marquardt method and discuss advantages disadvantages. two methods recover very well optimum parameters.

Any hydraulic reaction turbine is installed with a draft tube that impacts widely the entire performance, on which its functions are as follows: drive flux in appropriate manner after it releases energy to runner; recover suction head by effect; and improve dynamic runner outlet. All these strongly linked geometric definition of tube. This article proposes parametrization analysis Francis Based parametric definition, changes proposed performance modeled computational fluid dynamics; boundary...

The present work uses the Levenberg-Marquardt Method (LMM) and a Particle Swarm Optimization (PSO) for estimating heat generation function Guarded Hot-Plate Apparatus (GHPA). This device is used thermal conductivity determination of insulating materials. problem one-dimensional in cylindrical coordinates. Geometries are disc (Hot-Plate) an annulus (Guard). A estimated considering one to five parameters. Capability each method recovering analytical tested. Results satisfactory this kind problem.

Inverse Artificial neural network (iANN) is applied to optimize the parameters for hydraulic turbine runner blades. This proposed method inverts artificial (ANN) and uses an optimization find optimum parameter value (or unknown parameter) given required conditions. In order do so, first ANN, which consists of a feedforward with one hidden layer that simulates efficiency blade, was developed. model takes into account as well-known input values. For network, LevenbergMarquardt learning...

This article reports the optimization of film cooling on a leading edge gas turbine blade model, with showerhead configuration, it is based five input parameters, which are hole diameter, pitch, column holes injection angle, and velocity at plenum inlet. increased Area-Averaged Film Cooling Effectiveness [Formula: see text] reduced consumption coolant flow. Differential Evolution assisted by artificial neural networks was used as algorithm. Reynolds Averaged Navier–Stokes computations were...

Abstract In this work, the area-averaged film cooling effectiveness (AAFCE) on a gas turbine blade leading edge was predicted by employing an artificial neural network (ANN) using as input variables: hole diameter, injection angle, blowing ratio, and columns pitch. The database used to train built computational fluid dynamics (CFD) based two level full factorial design of experiments. CFD numerical model validated with experimental rig, where first stage represented cylindrical specimen. ANN...

This paper presents the design, development and tests made to a fiber optic pressure sensor using multimodalinterference methodology (MMI) thus, we propose an alternative ones available which are limited byhigh robust environments where use of them is potential hazard (explosive gases, corrosion evenelectromagnetic fields). The range work for this 0 0.36 psi, arrangement used formed by laserdiode, sensing element, electronic amplifying circuit, data acquisition board computer. sensingelement...

The flow field in a steam turbine main stop valve bypass (MSVBV) has been investigated by means of CFD simulations. Because the entire to during start ups is carried MSVBV it subject serious solid particle erosion problems and requires frequent replacement avoid catastrophic damage which can occurred when skirt eroded through causing large pieces metal be directly into turbine. For some most important geometric parameters MSVBV, design recommendation have made.