Knowledge Product: A tangible output (document, service, event, media, etc) of prepared knowledge that enables action of selected users. The preparation of knowledge is the process that collects, manages, and shares knowledge in a certain manner. KP is a tool developed that enables interconnectivity between people, information, and processes. It can also support visual tools aimed at achieving strategic learning goals.
The knowledge product serves as a basis for extracting knowledge sharing products available to fit different users, so they should have some attributes in common:
Attractiveness – Ability to attract and engage users; through being visually appealing, intuitive, and innovative.
Value – Serving a purpose; the knowledge product fits a need identified by potential users.
Monitoring – Ability to trace and monitor the performance gain/value of the knowledge product.
Sustainable – Facilitate learning and engagement over time by incorporating the right features.
Scalability – Editable and updatable continuously as well as adaptable within existing systems architecture.
Actionable – Trigger actions and ease practical implementations.
Knowledge Products produced in 2021
The following are the knowledge products produced in 2021, where they are indicated the producer of the KPs and their content.
The 3D model of Reactor Buildings (KNPP Units 1-4) and Auxiliary Buildings (1&2) was developed using gamma scanning of systems, structures, and components at all clean and non-occupied areas. The model visualizes precise engineering configuration of each room/area, including connections with adjacent rooms where associated systems are located.
This technical visit will showcase the experience of SERAW (Kozloduy NPP Units 1-4) in the use of 3D models to manage decommissioning and raw waste management activities.
This knowledge product collects lessons learned and good practices from Bohunice V1 NPP decommissioning project that are relevant for other decommissioning operators and European stakeholders in the nuclear decommissioning area. In particular, it captures knowledge acquired during the preparation of Bohunice V1 NPP final conceptual decommissioning plan that may be applied to other operators when developing their own decommissioning plans.
This document presents the experience and lessons learned by Ignalina Nuclear Power Plant (INPP) in the analysis and application of Liquid Radioactive Waste (LRW) technologies during the decommissioning programme of INPP Unit 1 and 2 and auxiliary facilities. The overall goal is to convey relevant knowledge to other EU decommissioning operators to support their own LRW activities, with a focus on: the selection of technology for LRW treatment, the preparatory works for the installation of LRW treatment facilities and the operation of LWR facilities.
Ignalina Nuclear Power Plant operator has studied and implemented several technologies to optimize the management of Liquid Radioactive Waste at Ignalina NPP. Based on the test results and on the experience of other operators, a cementation process was selected using the cement facility installed in 2003-2005. This knowledge product conveys technical experience and lessons learned over more than 15 years on how to select, implement and modify LRW cementation technology.
Knowledge Products produced in 2022
The following are the knowledge products produced in 2022, where they are indicated the producer of the KPs and their content.
An overview of the lessons learned, and best practices acquired by SERAW in the treatment of low and intermediate level radioactive waste using plasma melting process at Kozloduy nuclear power plant.
This document aims at compiling the experience acquired by JAVYS company in the implementation of existing IAEA/OECD-NEA methodology and guidance in the risk management in decommissioning. The use of Monte Carlo simulations for estimating cost and schedule contingencies for the V1 NPP Decommissioning Project. It represents a practical transfer of experience to organizations willing to perform similar analyses.
Experience of Bohunice V1 NPP in risk management of decommissioning projects and application of Monte Carlo simulations for schedule analysis and cost estimation
Knowledge product in the form of a workshop. Attendees will have the opportunity to learn from the experience of Ignalina nuclear power plantregarding the Installation of Radioactive Metal Waste Treatment Facility. They will become familiar with the selection process, initial investment, and tools used by INPP and they will learn from their experience in the field.
Lessons Learned at INPP in the Project “Installation of Radioactive Metal Waste Treatment Facility"
The JRC, as nuclear operator, is going to produce knowledge products based on the experience of the activities carried out at Ispra site. For the year 2022 and 2023 the JRC Ispra has already planned to deliver the following KPs:
- FWP - Final Waste Package: A final waste package for solid radioactive waste had to be designed and qualified based on the requirements embedded in the relevant Italian standards. The JRC can share its knowledge gained during the design qualification and testing phase of these FWPs.
- ISF - Interim Storage Facility: Many lessons were learned by the JRC Ispra in planning, licensing and construction of a new storage facility dimensioned to host all final waste packages of LLW created in the JRC’s ND&RWM Programme for few decades until they will be transferred to the national repository.
- Contaminated soil management: Segregation of contaminated from clean soil in nuclear facilities is the essential part of the contaminated soil management. The JRC will share their knowledge in building and verifying 3D models of lithology, hydrology and contamination spreading which will help to optimise this task.
- 3DIMS - 3D Information Management System: IT tool to reconstruct a 3D environment of a site, allowing users to track the tasks progression, update the status of resources and virtually explore critical areas reducing hazardous expositions. 3DIMS was fully developed in the JRC and by now populated with over 2000 3D scans and other overlay information layers.