STUDY ON POWER SPARE COEFFICIENT OF ELECTRICAL MOTOR IN LARGE PUMP STATION BASED ON RELIABILITY

Characters of head of low head pump station and the pump shaft power areanalyzed. Influence of each single factor on pump shaft power is expressed as change of specificshaft power. (non-dimensional) and the probability density function is determined. Influences ofmultiple factors on pump shaft power are analyzed. Method of calculating none over-loadedprobability of motor by integration by successive reductions is put forward and then relationbetween power spare coefficient and none over-loaded reliability of electric motor is established.Influences of all factors on pump shaft power being considered completely; power spare coefficientsof motor are calculated in three kinds of heads (changing and unchanging), two kinds of dirty-outconditions. Electrical motor power spare coefficients should be chosen as 1.20 approx 1.44, 1.11approx 1.19, 1.09 approx.14 respectively when pump heads are 4, 7, 9.5 m. The results mean much toreasonable choose of electrical motors in large pump stations, increasing reliability of pump unitsand saving equipment investment.

Measures for controlling large deformations of underground caverns under high in-situ stress condition--A case study of JinpingⅠhydropower station

The Jinping I hydropower station is a huge water conservancy project consisting of the highest concrete arch dam to date in the world and a highly complex and large underground powerhouse cavern. It is located on the right bank with extremely high in-situ stress and a few discontinuities observed in surrounding rock masses. The problems of rock mass deformation and failure result in considerable challenges related to project design and construction and have raised a wide range of concerns in the fields of rock mechanics and engineering. During the excavation of underground caverns, high in-situ stress and relatively low rock mass strength in combination with large excavation dimensions lead to large deformation of the surrounding rock mass and support. Existing experiences in excavation and support cannot deal with the large deformation of rock mass effectively, and further studies are needed. In this paper, the geological conditions, layout of caverns, and design of excavation and support are first introduced, and then detailed analyses of deformation and failure characteristics of rocks are presented. Based on this, the mechanisms of deformation and failure are discussed, and the support adjustments for controlling rock large deformation and subsequent excavation procedures are proposed. Finally, the effectiveness of support and excavation adjustments to maintain the stability of the rock mass is verified. The measures for controlling the large deformation of surrounding rocks enrich the practical experiences related to the design and construction of large underground openings, and the construction of caverns in the Jinping I hydropower station provides a good case study of large-scale excavation in highly stressed ground with complex geological structures, as well as a reference case for research on rock mechanics.

First large charging station with typical design put into operation

On March 31, in accordance with the typical design requirements of the State Grid, the f irst large electric vehicle (EV) charging station, built by the North China Grid,

HYDRAULIC CALCULATION AND MEASUREMENT OF FLOW FIELD WITHIN INLET PASSAGE OF LARGE PUMPING STATION

By means of the analysis of the internal flow within inlet passage of large pumping sta-tion, an analysis of 3-D direct boundary element for the flow has been presented on the potentialflow assumption, and a calculation and an experimental proof for the inlet passage of 30 angle-type axial pumping station have been made. Based on the analysis of the calculations and theexperiments, the calculation method is feasible and believable.

Assessment and simulation of evacuation in large railway stations

Evacuation systems in buildings are frequently assessed to improve emergency response processes.This paper proposes a method to evaluate the performance of different evacuation modes,and determine a rational mode for large railway stations.We developed a simulation for the evaluation of fire safety in large buildings based on an analytic hierarchy process(AHP)method.This approach includes AHP-based exploration and simulation-based refinement.We considered a typical railway station for validation,conducted a field survey to collect the data,and calculated the influencing factors based on expert opinion.The influencing factors were further processed based on the principles of a hierarchical model.The relative weights of the influencing factors were calculated through a series of pairwise comparisons using the AHP.Further,we applied factor refinement based on the evacuation simulations to determine the degree and status of influence of each factor.The influence of external factors was generally stronger than that of the internal factors.Among them,the building component characteristics and people's physiological capabilities were the core of the evacuation assessment in large railway stations.Additionally,the exit width,seat layout,visibility,speed,and reaction capabilities were crucial to the evacuation process.The proposed method is practical as it demands limited computations to provide useful information,such as a priority ranking of each influencing factor,for the evaluation process.