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Former Exelon CEO Chris Crane remembered for “transformational milestones”
Crane
Exelon announced that Chris Crane, the company’s former chief executive, passed away on Saturday in Chicago at the age of 65.
Crane served as the company’s president and CEO from 2012 until his retirement in December 2022. During his tenure, he steered the energy company through several transformational milestones, including the successful mergers with Constellation Energy in 2012 and Pepco Holdings in 2016, creating the largest utility business by customer count in the United States.
In 2022, with the spin-off of Constellation as the generation and retail side of energy business (with the largest U.S. nuclear fleet), Crane led the creation of a stand-alone transmission and delivery energy company.
T. J. Hoffman, J. C. Robinson, P. N. Stevens
Nuclear Science and Engineering | Volume 48 | Number 2 | June 1972 | Pages 179-188
Technical Paper | doi.org/10.13182/NSE72-A22469
Articles are hosted by Taylor and Francis Online.
An important radiation transport problem is that of determining the effect of a geometrically complex object (vehicle) located in an otherwise geometrically simple system. The direct solution to this problem often requires a Monte Carlo calculation. If the vehicle is far removed from the radiation source, the calculation can be very costly or even impossible.To deal with this problem, a new method, the adjoint difference method, has been developed. This method decomposes the original problem into two independent calculations: 1. a geometrically simple (one- or two-dimensional) deep-penetration calculation that is independent of the vehicle 2. a localized three-dimensional calculation that is independent of the radiation source. The first calculation is suitable to deterministic methods of solution, such as discrete ordinates. The second, by nature of geometry, usually requires a Monte Carlo calculation; however, this is not a deep-penetration calculation. Therefore the dual complexity of geometry and statistics inherent in a deep-penetration Monte Carlo calculation is avoided. Since the above calculations are independent, only the coupling of these calculations depends on the relative position and orientation of the source and vehicle. Hence the effects of different sources and arbitrary vehicle orientations can be obtained from a single Monte Carlo calculation. The method was examined through application to several problems. All resuits were compared to those obtained from presently acceptable methods of problem solution. In these applications, the adjoint difference method was shown to be an efficient, versatile method of calculation.