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Automating Low-Level Nuclear Waste Sorting: Enhancing Efficiency, Safety, and Scalability in Laurentis Energy Partners Facilities

dc.contributor.advisorWanyama, Tom
dc.contributor.advisorNagasaki, Shinya
dc.contributor.authorPatel, Malav
dc.contributor.departmentEngineering Physicsen_US
dc.date.accessioned2025-01-13T16:14:32Z
dc.date.available2025-01-13T16:14:32Z
dc.date.issued2025
dc.description.abstractObjective: Automation is used in numerous industries; waste management is one example. In this work we design a LLW Automation to improve LEPs process. The goal is to reduce the amount of radiation workers are exposed to, improving the consistency of radiation measurements, and improving the overall efficiency of LLW processing. Worldwide, LLW accounts for over 90% of nuclear waste produced from hospital, industries and nuclear fuel cycle. LLW includes various contaminated items requiring delicate handling. Methods: The apparatus automates three key aspects of the process, weighing the bags, performing 360° gamma radiation measurements, and tritium measurements. Workers involved in the sorting process has been reduced by a factor of 4. Allowing a single worker to operating one or multiple apparatuses simultaneously. The apparatus ensures a standardized method of measuring is applied to every bag passing through LEPs sorting facility eliminating inconsistencies introduced with human intervention. Finally, the apparatus features a modular design, enabling future expansions with new detectors. Conclusion: The apparatus is successfully able to reduce the workers needed for LEPs process by 75% transitioning from 4 workers to 1. While the apparatus may not provide meaningful time savings in its current state, projections with automation ready detectors and parts can improve productivity by 75% (1 unit), and up to 95% (5 unit). It provides significant times savings for LEP through standardized gamma and tritium measurements thus reducing human error and optimizing processing using less workers. Significance: The automation not only improves LEP's process, but also prepares LEP's facilities for higher radiation handling capacity and volumes. The modular design enables expansion and scaling. It allows new technologies and capabilities to be introduced later. Finally, this device improves the efficiency and safety of nuclear waste management through automation.en_US
dc.description.degreeMaster of Applied Science (MASc)en_US
dc.description.degreetypeThesisen_US
dc.description.layabstractThe goal of developing a Low-Level-Waste (LLW) automation apparatus is to help enhance Laurentis Energy Partner’s (LEP) LLW current manual sorting process. Currently more than 90% of the worlds nuclear waste produced or stored waste is classified as low-level waste (LLW) (Radioactive Waste Management - World Nuclear Association, n.d.-a). Currently at LEPs LLW classification is a manual process accomplished by workers. Automation of LLW classification reduces the amount radiation workers are exposed to, ensures accurate and standardized radiation measurements, and improves processing efficiency. The apparatus automates key tasks such as weighing waste bags, gamma radiation measurements, and tritium measurements are automated reducing the overall number of workers required down from four to one. Currently between manual processing and automated processing there is not a significant time saving, but future upgrades can potentially boost productivity by up to 95%. The modular design aspect allows for easy expansions and helps prepare LEP for handling higher emission waste while improving safety and efficiency. Adding automation to LEP will place them ahead for nuclear waste management solutions, obtaining long-term safety and sustainability.en_US
dc.identifier.urihttp://hdl.handle.net/11375/30866
dc.language.isoen_USen_US
dc.subjectInternet of Thingsen_US
dc.subjectAutomationen_US
dc.subjectNuclearen_US
dc.subjectNuclear Wasteen_US
dc.titleAutomating Low-Level Nuclear Waste Sorting: Enhancing Efficiency, Safety, and Scalability in Laurentis Energy Partners Facilitiesen_US
dc.typeThesisen_US

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