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General Kenneth Nichols and the Manhattan Project
Nichols
The Oak Ridger has published the latest in a series of articles about General Kenneth D. Nichols, the Manhattan Project, and the 1954 Atomic Energy Act. The series has been produced by Nichols’ grandniece Barbara Rogers Scollin and Oak Ridge (Tenn.) city historian David Ray Smith. Gen. Nichols (1907–2000) was the district engineer for the Manhattan Engineer District during the Manhattan Project.
As Smith and Scollin explain, Nichols “had supervision of the research and development connected with, and the design, construction, and operation of, all plants required to produce plutonium-239 and uranium-235, including the construction of the towns of Oak Ridge, Tennessee, and Richland, Washington. The responsibility of his position was massive as he oversaw a workforce of both military and civilian personnel of approximately 125,000; his Oak Ridge office became the center of the wartime atomic energy’s activities.”
P. Minelli, M. Golay, J. Buongiorno, N. Todreas (MIT)
Proceedings | 2018 International Congress on Advances in Nuclear Power Plants (ICAPP 2018) | Charlotte, NC, April 8-11, 2018 | Pages 988-997
The Offshore Floating Nuclear Plant (OFNP) design creatively builds on two established technologies, namely light water reactors (LWRs) and floating oil/gas platforms. Marine siting as well as several design features produce a particularly safe plant. The concept exploits the advances and experience in the construction of large floating structures in the oil/gas offshore industry and naval shipyards to decrease construction time and cost compared to standard nuclear power plants.
This work aims to compare the Net Present Value (NPV) of two different projects, when important uncertainties are taken into account:
- Construction of multiple (up to four) small modularunits (275 MW each)
- Construction of one single unit of equivalent power(1100 MW).
Some of the major sources of uncertainties in large and complex nuclear projects are price of electricity, construction cost, discount rate, years of operation, capacity factor and transportation costs. Such sources of uncertainty are quantified through specification of documented averages and reasonable ranges of variability.
This information is first used to perform a sensitivity analysis which shows that the NPV of an OFNP project is affected most strongly by price of electricity, construction cost and discount rate. Then, all uncertainties are assigned a probability distribution function (pdf) and combined with a Monte Carlo approach to generate a pdf for the NPV of a project.
The results show that construction of four small modular units is the preferred alternative as it is characterized by a higher average and median NPV. Additional qualitative advantages of the smaller modular units include the lower initial capital expenses, hence lower financial risk, and higher project flexibility overall.