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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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College students help develop waste-measuring device at Hanford
A partnership between Washington River Protection Solutions (WRPS) and Washington State University has resulted in the development of a device to measure radioactive and chemical tank waste at the Hanford Site. WRPS is the contractor at Hanford for the Department of Energy’s Office of Environmental Management.
Ahmad Al Rashdan, Vivek Agarwal
Nuclear Technology | Volume 205 | Number 8 | August 2019 | Pages 1053-1061
Technical Paper – Special section on Big Data for Nuclear Power Plants | doi.org/10.1080/00295450.2019.1601469
Articles are hosted by Taylor and Francis Online.
The migration of paper-based work packages to an electronic version for the nuclear power industry results in opportunities for work optimization through data analytics and integration. This can only be achieved if the work package is broken into its data elements and stored in a structured data form. The contribution of this paper is the development of a set of guidelines that enables creating a data model from breaking the work package into its data elements. The data model can be used to create a common information model for work packages at nuclear power plants. The results presented and discussed in this paper highlight distinctive data model characteristics regarding the work element properties and associations; work package topology; properties cascade; elements and properties function; templates and instances; and steps flow. In total, 13 guidelines were identified as part of this work. The resulting benefits from the extracted data model are enabling step-level review of the work, reducing planning effort, and automating work package creation and formatting. In addition, coupling work process data with other data sources at the plant improves overall maintenance activity efficiency by enabling capabilities such as real-time schedule update and automatic allocation and release of work resources.