In this paper are presented the process of measuring parameters of marine waves with performed devices which permit to obtain the values of the speed and current division marine wave amplitude and direction of the wave at each measurement, the number of measurements, date, hour, minute and second of measurement. This monitoring, which comprises the period of one year including, reveals an amplitude an annual average of the wave of hmed=1.53 m, obtained by taking maximum envelope appeared in a measurement range of 120 seconds. The value is unexpectedly high, taking into account of the fact that on the coastline it was found of: h<sub>med</sub> =0.467 m at Constanta Station and h<sub>med</sub> =0.23 m at Mangalia Station. These results reveal that there is a energy potential that exceeds expectations, much larger in the area of off shore, that is to say, in more than 12 Mm off shore, in front of the coastal zone. These measurements were applied with two devices-one device for measuring hidrostatic amplitude test and other device, ADV(Advanced Doppler velocymmeter).
In this paper is studying multi-phase fluid flow simulation in a blending tank, which involve air and water. It aims to use a model of the turbulence of the fluid, addicted to set different options for each fluid turbulence. It used for simulation the equations and tools from program ANSYS 13.0. The system is composed of a tank, a pipe of air injection, four baffles, a rotor, and a vertical shaft passing through the vessel. Data entry: the rotation frequency of the rotor on axis Ox (89 rotations/min(rpm)), the speed of the air which is injected into the container (5 m/s ), diameter pipe at entry (0.0248 m).The study assumptions are: a) the temperature of the water and the air remain constant (25 °C) and that the air is incompressible, with a density equal to that at 25 <sup>0</sup> C and 1 Pa; b) the bubbles have 3 mm diameter. The mixture requires two domains: a domain for rotor and stationary tank area. Both areas contain water as a continuous phase and air as the dispersion phase. The fields will shape buoyancy, turbulence and the forces of the fluid. In the paper are presented the details of flow analysis for: dispersed fluid in the impeller region of mixing device and of continuous fluid in the same region, with corresponding parameters, after this for tank and the boundary conditions for each studied assumptions. Flow simulation in blending tank help to optimize the shape of tank and reducing the hydraulic losses due to fouling the solid borders.
In this paper we describe the route of the nanoparticles in the WWTP and demonstrate how to use the simulation flow sensitivity analysis within STOAT<sup>TM</sup> program to evaluate the effect of variation of the constant, “k” in the equation v= kC<sup>h</sup> settling on fixed concentration of nanoparticles in sewage water from a primary tank of physical-biological stage. Wastewater treatment facilities are designed to remove conventional pollutants from sanitary waste. Major processes of treatment includes: a) physical treatment-remove suspended large solids by settling or sedimentation and eliminate floating greases; b) biological treatment-degradation or consumption of the dissolved organic matter using the means of cultivated in activated sludge or the trickling filters; c) chemical treatment-remove other matters by the means of chemical addition or destroying pathogenic organisms through disinfection; d) advanced treatment- removing specific constituents using processes such as activated carbon, membrane separation, or ion exchange. Particular treatment processes are: a) sedimentation; b) coagulation and flocculation; c) activated sludge; d) sand filters; e) membrane separation; f) disinfection. Methods are: 1) using the STOAT<sup>TM</sup> program with input and output data for primary tank and parameters of wastewater. 2) generating a data file for influent using a sinusoidal model and we accepted defaults STOAT<sup>TM</sup> data. 3) After this, getting spreadsheet data for various characteristics of wastewater for 48 hours:flow, temperature, pH, volatile fatty acids, soluble BOD, COD inert soluble particulate BOD, COD inert particles, volatile solids, volatile solids, ammonia, nitrate and soluble organic nitrogen. Findings and Results:1.Graphics after 48 hour;. 2.Graphics for parameters - flow,temperature, pH/units hours; 3.Graphics of nanoparticles; 4. Graphics of others volatile and non-volatile solids; 5. Timeseries data and summary statistics. Biodegradation of nanoparticles is the breakdown of organic molecules that may cause changes in the physical structure or the surface characteristic of the material.