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Life Cycle Assessment of the New Generation GT-MHR Nuclear Power Plant

doi: 10.3390/en11123452
This study describes a life cycle assessment (LCA) of a fourth generation (4G) nuclear power plant. A high temperature helium cooled reactor and gas turbine technology with modular helium reactor (GT-MHR) is used in this study as an example. This is currently one the safest design of a nuclear power plant. The study also takes into account impact of accidents and incidents (AI) which happened around the world at nuclear power generation facilities. The adopted method for the study is a hybrid LCA analysis. The analysis of each phase of the life cycle was done on the basis of process chain analysis (PCA). Where detailed data were not available, the Input/Output (I/O) databases was employed. The obtained results show that greenhouse gases (GHG) emissions and energy intensity per unit of electricity production are relatively low. In fact, these are even lower than emissions from a number of renewable energy sources. The results show considerably different greenhouse gases (GHG) emissions and energy intensity per unit of electricity production when effects of AI are taken into account.
- Odessa National Academy of Food Technologies Ukraine
- Odessa National Academy of Food Technologies Ukraine
- Victoria University Australia
- Victoria University Australia
Technology, nuclear power plant, LCA, T, accidents, Centre for Environmental Safety and Risk Engineering (CESARE), 0906 Electrical and Electronic Engineering, incidents, energy generation, accidents and incidents (AI)
Technology, nuclear power plant, LCA, T, accidents, Centre for Environmental Safety and Risk Engineering (CESARE), 0906 Electrical and Electronic Engineering, incidents, energy generation, accidents and incidents (AI)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).19 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
