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Data initialization, including parameters for blade and element, aerodynamic data and basic parameters for wind turbine. 2.
Interpolate and read airfoil aerodynamic data, then calculate the blade element lift coefficient and drag coefficient. 5.
As a result, the windward area decreases, which leads to quick reduction of the axial thrust.

Choose the energy use of typical operating day in summer as the design basis. 2.2 Analysis and extraction of streams Table 1 Micro-turbines’ usage table in typical summer day Microturbine type C200 C600 Time Exhaust flow (kg/s) Microturbine Number (units) Energy consumption (MJ/s) Capacity (kW) Exhaust flow (kg/s) Microturbine Number (units) Energy consum-ption （MJ/s） Capacity (kW) 0:00-600 1.3 2 2400 200 4 0 7200 600 6:00-8:00 1.3 0 2400 200 4 1 7200 600 8:00-18:00 1.3 3 2400 200 4 1 7200 600 18:00-20:00 1.3 2 2400 200 4 1 7200 600 20:00-22:00 1.3 1 2400 200 4 1 7200 600 22:00-24:00 1.3 0 2400 200 4 1 7200 600 Table 2 Stream data sheet of summer typical day Stream type User side load types Stream Name Supply Temperature / °C Target Temperature /°C Heat Capacity Flowrate kW/K Time Hot source Micro-turbine exhaust 1 360 55 3.0056 0:00-6:00 2 360 55 4.624 6:00-8:00 3 360 55 9.1324 8:00-18:00 4 360 55 7.6296 18:00-20:00 5 360 55 6.1268 20:00-22:00 6 360 55 4.624 22:00-24
:00 Cold source Refrigeration 7 85 125 -29.199 0:00-9:00 8 85 125 -36.462 9:00-16:00 9 85 125 -29.199 16:00-24:00 Boiled water 10 15 100 -1.259 7:00-20:00 Medical steam 11 15 140 -1.329 8:00-15:00 12 15 140 -2.748 15:00-16:00 13 15 140 -1.392 16:00-19:00 Sanitary hot wate 14 15 60 -66.667 15:00-19:00 According to the energy consumption data,in the conventional design the gas turbine number is determined according to the power used each time ,and the use of micro-turbine is shown in Table 1.
Since the amount of the gas turbine exhaust is determined by its type , assuming the exhaust gas temperature is 360 ℃, look-up table to know that the gas specific heat Cpg = 1.156kJ / (kg • ℃), and the user-side energy usage was obtained by research[6] , systematically list all the streams data, the result are shown in Table 2.
Acknowledgements This work was financially supported by Innovation Program of Shanghai Municipal Education Commission (Distributed Energy System Design and Optimization based on load Intermittently changes)(14YZ133) and the Special Research Project ‘Energy saving and emission reduction’ of Shanghai Science and Technology Commission (smart energy production management and supply scheduling research on Lingang heavy equipment industrial park) (12dz1200302).

Because a value of R equal to 1 means an isotropic behaviour of the material, the reported data reveal that, when the temperature rises from RT to 600°C, the material shows an increasing isotropic behavior, whereas, above 600°C, the decrease of the normal average anisotropy suggests that the material acquires again its anisotropic characteristics.
A value of R2 close to 1 means a good linear relationship between the experimental data and the predicted ones, and the low value of AARE indicate a good accuracy of the Arrhenius model in the prediction of the Ti6Al4V flow stress behaviour between 600 and 900°C at strain rates of 0.1 and 1 s-1.
True stress-true strain curves: experimental and predicted data based on the Arrhenius model.
Oyama, Reduction in anisotropy of mechanical properties of coilable (α+β)-type titanium alloy thin sheet through simple heat treatment for use in next-generation aircraft applications.

In this situation, that gas will attack working surface of leaf blade resulting in the formation of air vortex whose increase leads to effective flow area reduction near non-working face, and the excess air pressed against the adjacent channel causes in the first channel the influx angle increasing, the attack angle decreasing and improving the flow of gas flows and in the second channel the influx angle decreasing, the attack angle increasing and causing air stall.
(2) Wavelet deposition Hilbert envelope Spectrum analysis Output waveform Read raw data Since rotating stall fault signal generally occurs at lower frequencies, and more mixed in the noise and signal frequency, the signal collected can be regard as modulation wave forming with a low-frequency fault signal and the overlay of high-frequency signal.
Fig. 1 Wavelet envelope parsing process Example Analysis Based on the above theory, we use wavelet envelope spectrum analysis software which is developed by the holy Dalian Co., Ltd. based on C language to process a large unit line monitoring[5] data collected in a petrochemical company.
According to this method, we process and analyze measured data of air blower in catalytic cracking unit of a petrochemical company, and identify the type of air blower failure.

Behavior of Grout Sleeve Connections under Eccentric Cyclic Load Ruilong Han1, a, Weixing Shi2, b and Dan Wei3, c 1, 2, 3 Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai 200092, China ahanrl88@163.com, bswxtgk@126.com, cweidtj@hotmail.com Keywords: grout sleeve connection, steel tube, non-prestressed, grouting material, cyclic load, anchoring plate Abstract.
Load-strain curves of the strain measure points are acquired by analyzing the data of the strain gauges.
Load-displacement curves of each specimen are acquired by analyzing the data of the displacement meters.
Strain and stress distribution in the connection is obtained by analyzing the data of the strain gauges.

Underwater interdistributary microfacies, this microfacies is mostly characterized by mudstone with reduction color and small amounts of sandstone.
Conclusions (1) According to comprehensive analysis of geological data, wireline log data and seismic data, we analyzed development conditions and deposition characteristics of shallow-water delta deposits in details.

The meteorological data used in the simulation are come from typical meteorological year data issued by Technology Department of Tsinghai University and Meteorological Information Center Meteorological data of China Meteorological Administration.
THE ANNUAL TOTAL LOAD AND THE RELATIVE ENERGY SAVING RATIO The thickness of the insulation layer/mm Annual total load （kWh） Relative energy saving ratio （%） Heat load Cooling load Total load Heat load Cooling load 0 161458 11073 172529 0 0 10 85891 14060 99951 46.8 42.1 20 57707 17607 75314 64.2 56.3 30 43532 20246 63778 73.0 63.0 40 35011 22256 57267 78.3 66.8 50 29353 23872 53225 81.8 69.1 60 25515 25222 50737 84.1 70.6 70 22717 26307 49024 85.9 71.6 80 20641 27171 47812 87.2 72.2 From Table 3 and Fig. 4, we can see that heat load had decreased obviously when the exterior wall was insulated using extruded polystyrene board, and the insulation layer is thicker and the reduction of energy consumption is more.

Equilibrium phase diagrams are not only important sources of information for Ni-based alloy development, but also important basic data for determination of the heat-treatment conditions of Ni-based alloy.
Based on the metallurgy theory and the data on the alloys for vitriol pumps in bibliography, equilibrium phase diagrams were calculated for a series of virtual Ni-based alloys.
For this aim, firstly the range of various alloy elements of a potential Ni-based alloy was selected on the base of alloy design theory and the data existed in related references.
The amount of M23C6 increases with the reduction of equilibrium temperature but it is too few to strengthen the alloy.

The temperature dependence of threshold voltage model is easily extracted from the measured data by the linear extrapolation method [5].
VTO is a zero bias threshold voltage of a big MOSFET at zero substrate bias, VBS is a reverse substrate bias, FS is a correction factor for short channel effect, FD is a coefficient of static feedback, VFB is flat band voltage, FS is a surface potential, Weff is the effective channel width, dW is the channel width reduction on one side, One of the main parameter is the low field mobility decreased with temperature also the FS and VFB which decreased with temperature.
With the data from process simulation, the surface concentration is approximately a value of 1´1017cm-3.
The predicted model of the temperature dependence on threshold voltage in Eq. (8) and measured data are compared.

By 5E-MAC-GIII V3.7 proximate and ultimate automatic analyzer and measured data is shown in Table 1.
Table 1 Proximate and ultimate analysis data of lignite Proximate analysis/% Ultimate analysis/% Heat value (MJ/kg) Mad Aad Vdaf FCd Cd Hd Od Nd Sd 5.51 7.55 33.96 54.48 74.53 4.95 10.03 1.08 0.23 28.17 From Table 1, Fugu lignite is a low-moisture, low ash, high volatile, low sulfur, middle-high calorific value coal, which is better material for low-temperature carbonization.
During stable operation state, select semi-coke exhausting from carbonization furnace for analysis.The result of char samples’ calorific value,proximate and ultimate analysis data under the different holding time as shown in Table 2 below: Table 2 Proximate and ultimate analyses of char under the different holding time Holding time (minutes) Proximate analysis/% Ultimate analysis/% Heat value (MJ/kg) Mad Aad Vdaf FCd Cd Hd Od Nd Sd 15 0.63 8.22 26.55 64.55 74.10 4.32 9.07 1.20 0.22 28.60 30 0.51 8.51 21.32 69.43 77.34 3.57 7.53 1.08 0.21 28.80 60 0.44 8.95 12.34 78.28 79.34 2.55 4.16 1.09 0.20 29.48 90 0.24 8.98 8.31 82.47 80.47 2.03 3.77 1.08 0.19 29.66 From the results of the proximate analysis of semi-coke, the content of fixed carbon in the semi-coke is more than 69 % after retorting 30minutes, and after retorting 60minutes the content of volatile is less than 15%,can be used for blast furnace injection coal.
Due to reduction of the oxygen content, water absorption capacity of semi-coke and the phenomenon of spontaneous combustion caused by stacking is greatly reduced.