Development of General-Purpose Processing Element and Network-Based Dataflow Processing System: Part Two

Author(s):  
Tatsuya Sakuma ◽  
Masato Honda ◽  
Tomohiro Sugahara ◽  
Arata Shinozaki ◽  
Takayuki Nakatomi ◽  
...  
Author(s):  
John S. Brushwood ◽  
Ken Campbell ◽  
C. V. Hanson ◽  
Andras Horvath ◽  
Thomas Vivenzio

The Minnesota Valley Alfalfa Producers (MnVAP), a farmer owned cooperative, is developing a 75 MW combined cycle power plant integrated with alfalfa processiag facilities in southwestern Minnesota. The Minnesota Agri-Power (MAP) project is supported by the U. S. Department of Energy and a project development team that includes Stone & Webster, the University of Minnesota, United Power Association, Carbona Corporation/Kvaerner Pulping Inc. and Westinghouse. Alfalfa processing facilities separate the fibrous stem material from the protein-rich leaf fraction. The resulting alfalfa leaf meal (ALM) is further processed into a variety of valuable livestock feed products. Alfalfa stem material is gasified using air-blown fluidized bed technology to produce a hot, clean, fuel gas. The fuel gas is fired in a combustion turbine and the exhaust heat is used to produce steam to power a steam turbine. At base load, the electric power plant will consume 1000 tons per day of biomass fuel. This paper briefly describes the project development activities of the alfalfa feed trials and the combined cycle power plant. This commercial scale demonstration represents an important milestone on a continuing pathway towards environmentally and economically sustainable energy systems.


2010 ◽  
Vol 20-23 ◽  
pp. 884-888
Author(s):  
Cheng Fa Xu ◽  
Jun Ling Wang ◽  
Rong Gang Wu

In order to meet multi-channel, high data rate, intensive computing capacity of modern radar signal processing, a standard, scalable, high-performance general-purpose radar signal processing system platform is proposed. The main processor of this system platform is the DSP and FPGA. In the analysis of different kinds of radar signal processing algorithm, and taking into account the respective advantages and disadvantages of DSP and FPGA, In this paper, a software architecture method for radar signal processing is given to decide how to distribute different algorithm into DSP and FPGA. At last, for a certain type of circular array radar, an implementation of radar signal processing by using the general-purpose radar signal processing system platform is proposed.


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