Grant: Collaborative Research and Development Grants
University of Waterloo
$70,765.00
Robotics and automation for optimal characterization for nuclear power plant decommissioning
FY 2017-18
Summary
Nearly a third of the world's nuclear power plants (NPPs) are over 30 years old, and a large number of these will be decommissioned in the coming decades, including the Ontario Power Generation's Pickering NPP. Decommissioning refers to the safe management of the facility following the decision to shut down a NPP, which includes demolition, packaging and removal of debris, and safe storage activities. The focus of this proposal is on developing automation and robotic methods, specifically environment characterization to aid in the deconstruction of NPPs, with the ultimate goal of reducing exposure of humans as a result of decommissioning activities. It is anticipated that the results of this study will significantly enhance the tools and the process of providing semantic model inputs regarding the facility environment to decommissioning robots, automated waste selection, and packing optimization for low to intermediate waste disposal. Given the context, this proposal focuses on addressing the following main goals: (i) develop efficient methods to create as-built Building Information Models; (ii) develop and implement the requisite characterization information necessary to populate such models, specifically targeting and optimizing automated decommissioning tasks and the types of equipment to be used; (iii) proof-of-concept demonstration of the concepts and tools which will be developed during this project; and (iv) build on the knowledge gained in meeting the preceding objectives to address inventory assessment and selective disassembly for optimization of demolition, disassembly and packing. While this phase of the study will focus on the facility characterization using sensors, it is anticipated that this work will lay the groundwork for the design and development of robotic tools and equipment to assist with decontamination and dismantling activities in the subsequent planned phases of this research partnership.
Program
Collaborative Research and Development Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
507757-2016
Name nom
Haas, Carl
Department département
Civil & Environmental Engineering
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2016
Award amount
70765
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
604
Area of application group en
Construction, urban and rural planning
Area of application group fr
Construction, urbanisme et aménagement rural
Area of application en
Surveying and photogrammetry
Area of application fr
Arpentage et photogrammétrie
Research subject code
1001
Research subject group en
Civil engineering
Research subject group fr
Génie civil
Research subject en
Construction engineering and management
Research subject fr
Génie et gestion du bâtiment
Partie
1
Nb partie
3
Application title
Robotics and automation for optimal characterization for nuclear power plant decommissioning
Keyword
NSERC
Application summary
Nearly a third of the world's nuclear power plants (NPPs) are over 30 years old, and a large number of these will be decommissioned in the coming decades, including the Ontario Power Generation's Pickering NPP. Decommissioning refers to the safe management of the facility following the decision to shut down a NPP, which includes demolition, packaging and removal of debris, and safe storage activities. The focus of this proposal is on developing automation and robotic methods, specifically environment characterization to aid in the deconstruction of NPPs, with the ultimate goal of reducing exposure of humans as a result of decommissioning activities. It is anticipated that the results of this study will significantly enhance the tools and the process of providing semantic model inputs regarding the facility environment to decommissioning robots, automated waste selection, and packing optimization for low to intermediate waste disposal. Given the context, this proposal focuses on addressing the following main goals: (i) develop efficient methods to create as-built Building Information Models; (ii) develop and implement the requisite characterization information necessary to populate such models, specifically targeting and optimizing automated decommissioning tasks and the types of equipment to be used; (iii) proof-of-concept demonstration of the concepts and tools which will be developed during this project; and (iv) build on the knowledge gained in meeting the preceding objectives to address inventory assessment and selective disassembly for optimization of demolition, disassembly and packing. While this phase of the study will focus on the facility characterization using sensors, it is anticipated that this work will lay the groundwork for the design and development of robotic tools and equipment to assist with decontamination and dismantling activities in the subsequent planned phases of this research partnership.