By Jean-Paul Ducrotoy, Mike Elliott, A.Y Oral, Z.B Bahsi Oral, M. Ozer
The lawsuits of the second foreign Congress on power potency and effort similar fabrics contain seventy three peer-reviewed technical papers, submitted via best educational and examine associations from over 20 nations and representing probably the most state-of-the-art examine to be had. The seventy three papers are grouped into the next sections:
- normal Issues
- Wind Energy
- sunlight Energy
- Nuclear Energy
- Biofuels and Bioenergy
- Fossil Energy
- strength garage, Conservation and Efficiency
- Environmental Issues
- Carbon trap and Storage
- Bio-Assessment and Toxicology
- pollution from cellular and desk bound Sources
- delivery of Air Pollutants
- Environmentally pleasant development and Development
- strength administration Systems
- fabrics for Sustainable Energy
- fabrics for Renewable strength garage and Conversion
- gas Cells
- Hydrogen Storage
- Photovoltaics and sun Cells
- Hydrogen construction and gas new release from Renewables (Catalysis)
- Carbon Dioxide Sequestration and Conversion
- Energy-Saving Materials
- Saving strength in Buildings
- Modeling and Theoretical facets in Energy-Related Materials
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Additional info for 2nd International Congress on Energy Efficiency and Energy Related Materials (ENEFM2014): Proceedings, Oludeniz, Fethiye/Mugla, Turkey, October 16-19, 2014
Allowing a multiple answer in the ﬁeld of questions dedicated to biomass and biogas usage, using biomass and biogas for energy production was marked most— 100 % in Slovakia and 97 % in Romania. Heat production and waste handling was the next following alternative. Using biomass and biogas is the least expected for motor vehicles propulsion—13 % in Poland and Romania (Fig. 4). There is generally an interest about small biogas stations—just 7 % of respondents in Cyprus and 1 % in Poland are interested in big biogas stations.
Generally, when there is no sound protection Ascr = 0. Avar: various attenuations (vegetation, construction, industry). Generally these attenuations are not taken in the calculations, Avar = 0. Cmet: weather correction. 5 m/s. The value of the shape factor k shows that the distribution is stable (Fig. 2). The value of k for the month of July is the maximum (Table 1), which shows that the distribution is more stable. 89 indicating that the distribution is fairly stable throughout the year. The analysis of C shows that the windiest months are April and May.
Of Beta compared to Gamma, Logistic, Lognormal and Weibull distributions in that order for both Nigeria and Northern Ireland. The ﬁndings in this paper can be further use in the areas that are having similar meteorological conditions with the study areas. References 1. A. M. Z. Abidin, K. Sopian, Fitting of statistical distributions to wind speed data in Malaysia. Eur. J. Sci. Res. 26(1), (2009) 2. C. Ali, A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey.