Titlebook: Optimal Control in Thermal Engineering; Viorel Badescu Book 2017 Springer International Publishing AG 2017 Thermal Engineering.Optimal Con

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Storage of Thermal Energy and Exergyhe stratified TES units are normally more effective than the fully mixed units from the point of view of exergy conservation. The standard approach based on the concept of the number of thermal units tends to overestimate the performance of TES systems. Its accuracy is better in case of fully mixed units.

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Optimization of Pin Fin Profiless is constant or may decrease, depending on thermal loads and operation. The optimal control solution is usually singular but may be very well approximated by a bang-bang solution. The technology and design constraints have important effects on pin fin profile.

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Optimization of Solar Energy Collection Systemsds to systems with optimal non-uniformly distributed parameters. Unglazed, single-glazed and double-glazed collectors should be used on the same collection area in order to obtain the best performance. Also, the bottom insulation thickness should be changed accordingly.

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Introduction,echanical, electrical, electronics, etc.), in concordance with the specificity of the controlled system. All these devices have in common the fact that their action on the system must take place without direct human supervision or intervention.

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Elements of Variational Calculusetimes called . or .. The maps of this type are called .. In general, functional is called any mapping of the functions space on the .. This chapter reminds basic results of classical variational calculus.

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The Maximum Principle (Pontryagin)llaborators. The theory based on this method is presently considered the most powerful mathematical tool that can be used to solve optimal control problems with constraints expressed by ordinary differential equations.

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Viorel BadescuOffers as self-contained introduction.Presents the solution of optimal control problems.Uses specific methods such as the principle of maximum (or principle of Pontryagin), the gradient method, and th

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