A switchboard in commercial building is fed from the utility through a 1500 kVA transformer during normal operating condition. If the utility power is not available, a 650 kVA standby generator provides the power to the switchboard through an Automatic Transfer Switch (ATS) that has a published short circuit interrupting rating of 8-kAIC at 480V. The following data is given below:
ï¼ Utility data
ï¼ Transformer data
ï¼ Generator data
ï¼ Capacitor Bank
ï¼ Feeders data
ï¼ Panels data
ï¼ Motors data
- Use the provided data and draw the one-line diagram using the SKM program
- Hand calculate transformer T1 full load ampere at the secondary 480V side. Show your work
- With the 150 kVAR capacitor bank connected to the switchboard bus, and the Cap. Switch is Normally Open (N.O), perform short circuit âBalanced System Studiesâ and provide the following:
a) 3-phase fault magnitude on transformer T-1 secondary side in KA.
b) With the switch to motor M-7 is N.O, what is single-line-to ground fault on Panel I in KA.
c) What is the 3-phase fault contribution from motor M-7 to the Swbd bus?
- Perform âLoad flowâ analysis when the switchboard is fed from the transformer and the Cap. Switch is N.C, and provide the following results:
a. Real power (KW) and reactive power (kVAR) flowing in the feeder from the ATS to the switchboard.
b. Is reactive power in 4a being absorbed or delivered?
c. What is the real power (kW) absorbed by motor M-2?
d. Hand calculate the power factor at motor M-2. Show your work
e. Are the feeders to motors M-2 and M-4 overloaded? If yes, by what percentage?
5.With the switch to the capacitor bank is N.C and the switch to motor M-7 is N.O:
a. What is the reactive power on the switchboard bus
b. Is reactive power being absorbed by the switchboard or delivered from the switchboard back to the utility and by how many kVAR; Explain why.
- Hand calculate the power factor on feeder C-4
- When the switchboard is fed from the generator, and the switch to the Cap Bank is N.C, perform short circuit âBalanced System Studiesâ, and provide the following:
a) 3-pahse fault contribution from the generator in KA
b) 3-phase fault magnitude on the ATS emergency-side blade in KA.
c) What is the 3-phase fault magnitude at the switchboard bus in KA.
d) Comparing the ATS published AIC interrupting rating to the 3-phase bolted fault on the ATS, is the ATS overdutied, and if yes by what percentage?
e) Is it safe to use the ATS based on findings in 7.d) above? What do you recommend?
Sample Solution
(later obtained by AMD) started embracing multi center engineering by utilizing GPU (illustrations handling unit) based equal processing in 2007. CUDA was Nvidia’s foundation for equal registering which permitted GPUs to be utilized for general figuring. Before then GPUs were truly implied for gaming as they were utilized to improve the exhibition of utilizations that necessary serious vector-based handling. CUDA permitted GPU preparing to deal with different applications, for example, computational fund. Working Systems with Multi-Core Support Before investigating how extraordinary working frameworks use multi-center processors, we should comprehend the connection between the working framework and processors. With processors turning out to be increasingly amazing, programming, for example, the working framework can without much of a stretch keep down the presentation of the processor. Most applications that are ran invest a lot of energy inside the working framework part. This implies without legitimate help for the processor, the working framework will bottleneck the presentation of the PC. For the processor to arrive at its maximum capacity, the working framework must guarantee scalability[15]. A few instruments have been actualized inside different working frameworks to reduce the bottleneck impact. For instance, when running an application in Linux the memory allocator inside the working framework will utilize the entirety of the accessible memory from the center that is being utilized (the nearby core)[15]. Just until all memory is utilized inside that center will the memory allocator go to another core[15]. This is valuable to guarantee all applications are running at greatest productivity and that centers are appropriately sharing the outstanding task at hand when essential. While talking about the connection between present day multi-center processors and working frameworks, we should likewise take a gander at two usage of a multi-center processor in a PC framework â symmetric multi-preparing (SMP) and uneven multi-handling (AMP). Both of these strategies for usage straightforwardly influence how the working framework must communicate with the multi-center processor[14]. SMP is actualized by interfacing at least two processors to a solitary fundamental memory, while the working framework treats these processors similarly. This implies neither one of the processors are confined to specific errands. As far as multi-center processors, each center is treated as its own processor. Each center additionally has a mutual plan, alluded to as a homogeneous multi-center structure. The centers can impart between each other through the working framework. SMP is commonly valuable for syst>
(later obtained by AMD) started embracing multi center engineering by utilizing GPU (illustrations handling unit) based equal processing in 2007. CUDA was Nvidia’s foundation for equal registering which permitted GPUs to be utilized for general figuring. Before then GPUs were truly implied for gaming as they were utilized to improve the exhibition of utilizations that necessary serious vector-based handling. CUDA permitted GPU preparing to deal with different applications, for example, computational fund. Working Systems with Multi-Core Support Before investigating how extraordinary working frameworks use multi-center processors, we should comprehend the connection between the working framework and processors. With processors turning out to be increasingly amazing, programming, for example, the working framework can without much of a stretch keep down the presentation of the processor. Most applications that are ran invest a lot of energy inside the working framework part. This implies without legitimate help for the processor, the working framework will bottleneck the presentation of the PC. For the processor to arrive at its maximum capacity, the working framework must guarantee scalability[15]. A few instruments have been actualized inside different working frameworks to reduce the bottleneck impact. For instance, when running an application in Linux the memory allocator inside the working framework will utilize the entirety of the accessible memory from the center that is being utilized (the nearby core)[15]. Just until all memory is utilized inside that center will the memory allocator go to another core[15]. This is valuable to guarantee all applications are running at greatest productivity and that centers are appropriately sharing the outstanding task at hand when essential. While talking about the connection between present day multi-center processors and working frameworks, we should likewise take a gander at two usage of a multi-center processor in a PC framework â symmetric multi-preparing (SMP) and uneven multi-handling (AMP). Both of these strategies for usage straightforwardly influence how the working framework must communicate with the multi-center processor[14]. SMP is actualized by interfacing at least two processors to a solitary fundamental memory, while the working framework treats these processors similarly. This implies neither one of the processors are confined to specific errands. As far as multi-center processors, each center is treated as its own processor. Each center additionally has a mutual plan, alluded to as a homogeneous multi-center structure. The centers can impart between each other through the working framework. SMP is commonly valuable for syst>
