Energy Network Operation in the Supercomputing Era

Energy Network Operation in the Supercomputing Era

Tianxing Cai (Lamar University, USA) and Neha Gupta (Northeastern University, USA & Osmania University, India)
Copyright: © 2015 |Pages: 21
DOI: 10.4018/978-1-4666-7461-5.ch010
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Abstract

Power delivery has become more dissimilar with that of the previous era. Conventional power and energy materials, such as relic fuels, nuclear power, and renewable energy (solar power, geothermal, hydroelectric, wind power, and biomass), are already present. The energy network operation becomes complicated because the integration of power generation, energy conversion, power transportation, and power utilization should be considered. There is an intricate assignment for us to perform swift power transmission for the extremely urgent situations. These situations are the results of regional lack of energy that needs to be brought back as soon as possible. Advanced supercomputing has already been one of the powerful solutions to work out these issues. This chapter initially presents an introduction of some of the supercomputing techniques and then the potential applications and demonstration examples follow to give the readers some hint on the handling of energy network operation.
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Technique Introduction

Normally, the basic computer can take the responsibility of the basic computational tasks. On the contrary, the computation in the scientific research and engineering always require marvelous capacity of computational processing as well as the calculation speed. The supercomputer or high performance computer is a computer with the above characterizations. Another necessary element of the supercomputers is that they should have the sufficient memory because the computational processing will generate a lot of data which needs to be stored in the computers. Most research institutes have their own computational facilities. For example, there is one Blue Gene/P supercomputer in the Argonne National Laboratory. It can have more than 250,000 processors during the computational run. These processors can be grouped into 72 racks or cabinets. They are integrated with a high-speed optical network (IBM, 2007). Many artificial neurons can be simulated with the help of the IBM Blue Gene/P computer. The function is similar with 1% of a human cerebral cortex (IBM, 2007) or the entirety of a rat's brain (Kaku, 2011). The supercomputers are also used in the field of weather forecasting. They are used by NOAA to combine the huge datasets of information of weather monitoring observations in order to get more precise predictions and dynamic change trends (National Geographic, 2010).

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