Siting multiple advanced reactors within a region introduces decision-making challenges that differ from traditional large light-water reactor (LWR) siting, including (i) the temporal and spatial dynamics of siting multiple reactors sequentially within a specific region, where earlier selections affect later ones and correlations across sites are not explicitly modeled, and (ii) interdependencies among siting criteria, where a single factor can cause compound influence on other criteria. This paper presents an ongoing study to investigate how concepts and techniques from probabilistic risk assessment (PRA) for nuclear power plants can be adapted to enhance siting decision-making for advanced reactors.

The paper presents the proposed computational framework and reports on progress in three key modules. First, a literature review is conducted to identify decision criteria relevant to advanced reactor siting. These decision criteria are organized into four main categories: health and safety, environmental, land