Download 3rd International Congress on Energy Efficiency and Energy by Ahmet Yavuz Oral, Zehra Banu Bahsi Oral PDF

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 concerned with the newest advancements of sustainable strength applied sciences, fabrics for sustainable power purposes and environmental and fiscal views of strength. those complaints incorporated forty peer-reviewed technical papers, submitted via prime educational and study associations from over 23 international locations and represented probably the most state-of-the-art researches to be had. The sections integrated within the forty papers are indexed as follows:

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

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

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4 The monthly average electricity production for different PV topologies [1] 41 42 M. Gaiceanu et al. Fig. 2 Mathematical Model of the Three-Phase Induction Machine The mathematical model of the vector controlled three-phase squirrel cage induction machine is based on the stator voltage equations, magnetizing current equation and the mechanical motion equation [4]: rTs didtds þ ids ¼ rTs diqs dt vds Rs vqs Rs À ð1 À rÞTs didtmR þ rTs xe iqs þ iqs ¼ À ð1 À rÞTs xe imR À rTs xe ids dimR 1 dt ¼ Tr ðÀimR þ Lm ids Þ r J dx KT ¼ 23 ð1 À rÞLs dt ¼ kT imR iqs À TL ; iqs xe ¼ xr þ xsl ; xsl ¼ LRmr imR ; ð3Þ where: Rs—phase stator resistance; xe—magnetic field synchronous speed; xr— rotor angular speed; xsl—slip angular speed; ids (iqs) d-axis (q-axis)—stator current; v*ds (v*qs) d-axis (q-axis)—stator voltage commands; Ls (Lr)—the stator (rotor) inductance; Lm—the mutual inductance; Ts = Ls/Rs the time constant of the stator circuit; r—the total leakage factor; TL—the total load torque; Tr = Lr/Rr the time constant of the rotor circuit; KT—torque constant, J—the moment of inertia; p—the number of poles pairs.

3 BCR and annual savings against storage capacity approach is called variable Logic Driven Markov Process (BDMP) [4]. BDMP is proposed because it uses state transition rate instead of state probabilities. Application of the proposed procedure is tested on a standalone microgrid. It is initially assumed that the system consists of diesel generator. Therefore the availability of the system is the availability of the diesel generator. Adding WECS and SECS to the diesel generator leads to a different availability of the system.

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.

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