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Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
BWXT will scout potential TRISO fuel production sites in Wyoming
BWX Technologies Inc. announced today that its Advanced Technologies subsidiary has signed a cooperation agreement with the state of Wyoming to evaluate locations and requirements for siting a potential new TRISO nuclear fuel fabrication facility in the state.
Jacek Marecki, Rudolf Krajewski, Andrzej Reński
Nuclear Technology | Volume 38 | Number 1 | April 1978 | Pages 41-49
Technical Paper | Low-Temperature Nuclear Heat / Reactor | doi.org/10.13182/NT78-A16153
Articles are hosted by Taylor and Francis Online.
The development of district heating systems in Poland up to 1990 is characterized with particular reference to the combined generation of heat and electrical energy in fossil-fired and nuclear heat-and-power plants. The proposed method of an economic evaluation of nuclear heat-and-power schemes consists in comparing them with the equivalent fossil-fired plants and minimizing the total annual costs of heat energy generation. Hence, the optimum value of the so-called combination factor α can be obtained, this factor being defined as the ratio of heat output at the steam turbine outlets to the maximum heating load of the whole heat-and-power plant. As an example of the optimization procedure, three particular values of the maximum heating load Qmax in given areas are considered: Qmax = 1000, 1500, and 2000 MW, and in each case the optimum a values are determined.