Thermal energy storage is an essential component of solar heating systems. A numerical analysis of thermal stratification in hot water storage tanks suitable for solar water heating applications is presented in this paper. Transient, axi-symmetric, turbulent natural convection in fully and partially charged storage tanks for varying Rayleigh Number in the range of 10 to 10 is studied. Mix Numbe...

The Hanford Site in southeastern Washington State is the location of the largest nuclear waste storage area in the United States. Since plutonium production facilities at Hanford were shut down in 1987,cleaning up the leftover waste at the Hanford Site has become one of the largest environmental cleanup projects in history. Legal, political, technical, and social aspects of the cleanup contribu...

Abstract Castings are predestined for the application of structural optimization, but to date, integration process simulation into optimization is limited due high computational cost and therefore often neglected at beginning design process. This leads need surrogate models, which allow a fast simplified evaluation proposals during in order improve integration. article introduces novel approach...

the main objective of this article is evaluation of the simplified models which have been developed for analysis and design of liquid storage tanks. the empirical formulas of these models for predicting maximum sloshing wave height (mswh) are obtained from mass spring models (msm). a finite element modeling (fem) tool is used for investigating the behavior the some selected liquid storage tanks...

this article is a comparative study of estimation power of artificial neural networks and autoregressive time series models in inflation forecasting. using 37 years iran’s inflation data, neural networks performs better on average for short horizons than autoregressive models. this study shows usefulness of early stopping technique in learning stage of neural networks for estimating time series...

In this paper, a new measurement method of analyzing performance for Network Attached Optical Jukebox is presented by means of linear neural networks. Through analyzing one operation(request) process in this system, the mathematics model is built for this storage system, then a method based on linear neural networks for this system is proposed. Simulation results testified the feasibility and v...