By Ahmet Yavuz Oral, Zehra Banu Bahsi Oral

The third overseas Congress on power potency and effort similar fabrics (ENEFM2015) was once held from 19–23 October 2015. This congress eager about the newest advancements of sustainable power applied sciences, fabrics for sustainable power functions and environmental and fiscal views of power. those complaints incorporated forty peer-reviewed technical papers, submitted via top educational and examine associations from over 23 international locations and represented the most state of the art researches on hand. The sections incorporated within the forty papers are indexed as follows:

solar power, gasoline cells, Hydrogen productions, Hydrogen garage, strength garage, power saving, Biofuels and Bioenergy, Wind power, Nuclear strength, Fossil power, Hydropower, Carbon catch and garage, fabrics for renewable strength garage and conversion, Photovoltaics and sunlight cells, gasoline new release from renewables (catalysis), Carbon dioxide sequestration and conversion, fabrics for power saving, Thermoelectrics, power saving in structures, Bio-Assessment and Toxicology, pollution from cellular and desk bound resources, shipping of Air toxins, Environment-Friendly development and improvement, power administration Systems.

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Additional info for 3rd International Congress on Energy Efficiency and Energy Related Materials (ENEFM2015): Proceedings, Oludeniz, Turkey, 19–23 October 2015

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Modelling this way enables the use Markov theorem for the determination of the capacity of the storage system such that it has economic value. The output powers of the renewable energy sources are represented by the 3–state Markov model [3]. The aim is to determine the storage capacity that could be used for the maximum net saving. System average return time and capacity Q as a function of firm capacity is shown in Fig. 1. Similarly, the total annual cost and the system savings as a function of storage capacity is also presented in Fig.

2 Multivariable optimal control based on ARE solution Optimal Control of the DC Motors … 31 Fig. 3 Implementation of the MRDE solution Fig. 4 Implementation of the ARE solution Ia control voltage reference Emf Ua optimal speed reference Ia Uexc Ue Optimal speed reference Tl flux speed Tload Ie Wr Mem Te torque ref DC MOTOR Torque and speed control Mux Mux Fig. 5 Maltab-Simulink multivariable optimal control based on MRDE nonrecursive solution 32 M. Gaiceanu Ia control voltage reference Emf Ua optimal speed reference Ia Uexc Ue Tl Optimal speed reference flux speed Ie Te Wr Mem TL Tload Ffwd Feedforward compensation FFWD torque torque ref DC MOTOR Torque and speed control Mux Mux Fig.

Field oriented vector control is involved; the obtained numerical results emphasize the quality of the strategy, and of the chosen architecture. 1 Introduction The paper has in view an analysis of the different Electric Vehicle (EV) topologies based on fuel cells technology. The Proton Exchange Membrane Fuel Cells (PEMFC) are well fitted to the EV traction due to the high speed response, high efficiency, reduced impact on environment [1]. The main disadvantages of the fuel cells are the lack of the hydrogen supply infrastructure, the required safety level of the EV, and the high cost [2, 3].

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