Collaborative Project: 3D EDE Radiation Exposure Planning Tool

Transcription

1 Collaborative Project: 3D EDE Radiation Exposure Planning Tool Phung Tran, EPRI Sharon Bickford, FIATECH Plant Productivity Workshop June 30, 2010

2 Radiation Management Program Strategy 1. Corrosion & Release 2. Transport 3. Deposition & Activation on Fuel 4. Transpor t 5. Deposition & Incorporation Ex-core Dose to Worker!! Source Term Reduction Program Radiation Protection Program Reduce Radiation Fields and Reduce Contamination 2

3 Radiation Management Program Drivers and Goals Regulatory Drivers (NRC): 10 CFR 20 and 10 CFR 50, Appendix I Update to Align with ICRP 103 Recommendations Most Significant Change: Reduction in Individual Dose Limits Industry Performance Drivers (INPO): Collective Dose Goals (cycle averages) PWR: 60 Rem BWR: 120 Rem Eliminate/Reduce High Radiation Areas Reduce Contaminated Areas Reduce Personal Contamination Events (PCEs) 3

4 Goals for Collaborative Project Project Goals: 1. Develop dose algorithms using 3D simulation technology and typical survey/radiation field measurements to estimate worker dose and improve ALARA job planning. Algorithm can be used to develop what-if ALARA optimization scenarios. 2. Work with FIATECH/vendor to develop standard software implementation and protocols that encourages plug and play 4

5 Possible End Use Scenarios End Users Workers (maintenance, etc) ALARA Planners/ RP staff Engineers Uses Dose Estimation ALARA Planning Pre-job Briefing and Post-job Briefing Evaluation of Unplanned Exposure Worker Training Scaffold Planning Engineering Design 5

6 Radiation Management Program Strategy 1. Corrosion & Release 2. Transport 3. Deposition & Activation on Fuel 4. Transpor t 5. Deposition & Incorporation Ex-core Dose to Worker!! Source Term Reduction Program Radiation Protection Program Reduce Radiation Fields and Reduce Contamination 6

7 Opportunities to Improve Existing Dose Estimation Process Improve understanding of radiological conditions using 3D Visualization Technology Typical radiation survey is two-dimensional Doesn t define dose variations related to elevation Improved visualization of work environment for workers Can be used as a post-job brief with workers to how long and where they were actually working Improve accuracy and standardize dose estimating process Inconsistent approach to dose estimation plant to plant. No standardized, simple way to assess the impact of dose reduction actions Improve decision-making: When to use EDE? No easy systematic way to determine benefits of improved dosimetry (EDE vs. DDE) 7

8 Example of a Typical Survey Map 8

9 Previous EPRI Demo: Integration of 3D Scanned Images with Real-Time Dose Rate Data Phase 1 Goal: Demonstrate feasibility of integration of real-time dose rate data and radiation survey information with 3D laser scanning technology Entergy (ANO) assisted with scoping of work Report published, documenting demonstration in 2008 (Integration of 3D Scanned Images with Real-Time Dose Rate Data. EPRI, Palo Alto, CA: ) Phase 2 Goal: Add ability to perform dose rate calculation for areas with no measurement points (never funded) 9

10 Sample Visualization from Previous EPRI Demo Integration of 3D Scanned Images with Real-Time Dose Rate Data. EPRI, Palo Alto, CA:

11 Sample Visualization from Previous EPRI Demo Source: Integration of 3D Scanned Images with Real-Time Dose Rate Data. EPRI, Palo Alto, CA:

12 Dose Estimation Algorithm Flow Chart Locations Locations via via 3D 3D Scan Scan & CAD CAD Software Software Pertinent Shield Data Radiation Readings Survey Database Locations Source Activity Calculation Shield Database Worker Position Possible Areas of Radioactivity Source Database Activities Dose Rate Calculation Receptor Database Dose rate estimate 12

13 Dosimetry and EDE The existing (normal) method of dosimetry is to place one dosimeter on the chest If higher doses are expected at other areas (e.g., head) then the dosimeter is moved to the higher dose area on the body (e.g., head) In some cases, multiple dosimetry is used to ensure that the highest dose area is measured This existing method is conservative (high) EDE allows for using multiple dosimeters and more accurately calculating effective dose to the worker 13

14 Roles and Responsibilities Radiation Protection Team: Phung Tran: EPRI Project Manager Utility Members: Project support and input, host demo Ted Rahon: Algorithm development Dennis Quinn: EDE methodology Paul Saunders: Demo Coordinator, Field RP Lead Remote Monitoring Experts: Platform for live dose rate transmission Vendor Software Implementation & Standards Team: FIATECH: Sharon Bickford and Zac Zimmerman, Software Management and Integration 3D Modeling Experts: Model to integrate input from team including algorithm and dose rate data Remote Monitoring Experts: Platform for live dose rate transmission Geospatial Experts: Platform to locate and record worker location (and potentially body position) within designated work area. Demonstration Team: RP Team + Vendor Team 14

15 Tentative Project Schedule 2010 Review and develop dose algorithms Internal algorithm validation and lab testing Provide dose calculation subroutines to FIATECH/vendor(s) Work with host utility and their vendor to plan plant demo Vendors to begin development of a prototype for 2 pilot tests pilot tests to adjust prototype Document plant pilot test results Larger demo with final prototype 15

16 Upcoming Meetings Remote Monitoring Technology for Radiation Protection Applications Working Group Meeting- Charlotte, NC (September 14-15, 2010) 3D EDE ALARA Job Planning Tool Project Meeting Charlotte, NC (September 15-16, 2010) 16

17 Contact Information Phung Tran, EPRI Sharon Bickford, FIATECH