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Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
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Norway’s Halden reactor takes first step toward decommissioning
The government of Norway has granted the transfer of the Halden research reactor from the Institute for Energy Technology (IFE) to the state agency Norwegian Nuclear Decommissioning (NND). The 25-MWt Halden boiling water reactor operated from 1958 to 2018 and was used in the research of nuclear fuel, reactor internals, plant procedures and monitoring, and human factors.
Chin-Jen Chang, Samim Anghaie
Nuclear Technology | Volume 124 | Number 3 | December 1998 | Pages 265-275
Technical Paper | Radiation Measurements and Instrumentation | doi.org/10.13182/NT98-A2925
Articles are hosted by Taylor and Francis Online.
A high-definition gamma scanning method for the near-field measurement of radionuclide inventories in a large nuclear waste barrel is presented. The method introduced is especially accurate for radionuclides with multiple gamma energy peaks. Multiple detectors positioned as closely as possible to the waste barrel are used to measure the radiation field emanating from the distributed radiation sources. The total source activity is reconstructed by using the conjugate gradient with nonnegative constraint method or the maximum likelihood expectation maximum method based on measured detector responses. The maximum measurement error bond and its associated confidence level for the developed gamma scanning system are determined statistically by performing a large number of numerical experiments that take into consideration the counting statistics, the nonuniformity of source distribution, and the heterogeneous density of the self-absorbing medium. The accuracy and reliability of the system are verified through a series of real measurements with randomly distributed 192Ir sources in a 208-litre waste barrel. The results of these measurements are in full agreement with the estimated error and the confidence level that are predicted by the numerical simulation.