Submitted by Mi.Varokky@iaea.org on
Publication Code
IAEA-TECDOC-2027
ID
15331
Publication Type
Description

This report documents the outputs of the INPRO collaborative project "Comparative Evaluation of Nuclear Energy System Options" (CENESO). The overall objectives of CENESO were to apply the approach to comparative evaluation of system/scenario options developed in the previous INPRO collaborative project and published in IAEA Nuclear Energy Series NG-T-3.20. The current publication presents new case studies and elaborates upon previous ones to extend the Key Indicators for Innovative Nuclear Energy Systems (KIND) approach to develop additional modules for enhancing the resolution among compared alternatives. The supplementary online files provide the latest version of the KIND Excel Tool (KIND-ET) and its extensions complete with user instructions.

Cover Image
ISBN
978-92-0-143823-2
Publication Original Id
15331
Publication Year
2023
Publication Date
Publication Issue Date
Publication Series Info
2027
Publication Series Number
2027
Price
22.00
Number of Pages
470
Publication Medium
Print (Paper)
Keywords
Comparative Evaluation, Nuclear Energy System, NES, Options, CENESO, INPRO, Management, Nuclear Engineering, Comparative Evaluation System, Approach, Country Case Studies, Key Indicators for Innovative Nuclear Energy Systems, KIND, Excel Tool, KIND-ET, Supporting Tools, Sensitivity and Uncertainty Analyses, Lessons Learned, Directions, Multi-Group Decision Making, Dynamic Decision Support, Classification, Screening Studies, Objectives, Nuclear Fuel Cycle, NFC, Major Findings, Ranking of NES/Scenario Alternatives, Evaluation Scenarios, Variable Renewables, Generation Sources, Innovative Versus Evolutionary NES, Suitable Reactor Technology, Nuclear Fuel Technology, Nuclear Energy Deployment Scenarios, Thermal Electricity Generation Options, IAEA INPRO Evaluation Tool, Thermal Reactors, Nuclear Material Flows, Different Power Technologies, Integrated Needs, KIND Framework, Long Term Spent Nuclear Fuel Management Scenarios, GAINS Framework, Review
Publication File Type
application/pdf
Publication File Size
23555
Supplementary Material
Supplementary files
133931
Supplementary files
ID
1371
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