Solid low-level waste forecasting guide

Technical Report · Wed Mar 01 04:00:00 EST 1995

DOI:https://doi.org/10.2172/481952· OSTI ID:481952

Templeton, K J; Dirks, L L

Guidance for forecasting solid low-level waste (LLW) on a site-wide basis is described in this document. Forecasting is defined as an approach for collecting information about future waste receipts. The forecasting approach discussed in this document is based solely on hanford`s experience within the last six years. Hanford`s forecasting technique is not a statistical forecast based upon past receipts. Due to waste generator mission changes, startup of new facilities, and waste generator uncertainties, statistical methods have proven to be inadequate for the site. It is recommended that an approach similar to Hanford`s annual forecasting strategy be implemented at each US Department of Energy (DOE) installation to ensure that forecast data are collected in a consistent manner across the DOE complex. Hanford`s forecasting strategy consists of a forecast cycle that can take 12 to 30 months to complete. The duration of the cycle depends on the number of LLW generators and staff experience; however, the duration has been reduced with each new cycle. Several uncertainties are associated with collecting data about future waste receipts. Volume, shipping schedule, and characterization data are often reported as estimates with some level of uncertainty. At Hanford, several methods have been implemented to capture the level of uncertainty. Collection of a maximum and minimum volume range has been implemented as well as questionnaires to assess the relative certainty in the requested data.

• Research Organization: Pacific Northwest Lab., Richland, WA (United States)
• Sponsoring Organization: USDOE Assistant Secretary for Nuclear Energy, Washington, DC (United States)
• DOE Contract Number: AC06-76RL01830
• OSTI ID: 481952
• Report Number(s): PNL--10487; ON: DE97052907
• Country of Publication: United States
• Language: English

Related Subjects

05 NUCLEAR FUELS
DATA ACQUISITION
DATA COVARIANCES
FORECASTING
INVENTORIES
LOW-LEVEL RADIOACTIVE WASTES
RECOMMENDATIONS
US DOE