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Mike Kramer: Navigating power deals in the new data economy
Mike Kramer has a background in finance, not engineering, but a combined 20 years at Exelon and Constellation and a key role in the deals that have Meta and Microsoft buying power from Constellation’s Clinton and Crane sites have made him something of a nuclear expert.
Kramer spoke with Nuclear News staff writer Susan Gallier in late August, just after a visit to Clinton in central Illinois to celebrate a power purchase agreement (PPA) with Meta that closed in June. As Constellation’s vice president for data economy strategy, Kramer was part of the deal-making—not just the celebration.
M. M. R. Williams
Nuclear Science and Engineering | Volume 183 | Number 1 | May 2016 | Pages 116-125
Technical Paper | doi.org/10.13182/NSE15-62
Articles are hosted by Taylor and Francis Online.
The experimental and theoretical results of Authier et al. on the fast burst reactor Caliban have been re-analysed using the Gamma probability distribution function (pdf). The Gamma pdf requires only the mean and variance of the accumulated counts to fully define it. Equations for the mean value and variance of the neutron, precursor and count rate distributions have been developed and solved via the forward form of the probability generating function. We have found excellent agreement, to within experimental error, with the experimental results for the wait time and its variance. In addition, the values of the cumulative pdf obtained via the Gamma pdf are in good agreement with those reported by Authier et al. who used more accurate methods.