Abstract
Passive safety systems are incorporated extensively in current SMR designs. Compared to active safety systems, which are driven by external power sources, and must be activated to function, passive safety systems rely more on physical phenomena, like gravity or natural circulation. Because of the nature of the phenomena, such as weak driving forces in natural circulation, the assessment of the failure probability for a passive function is challenging.
The paper presents a reliability estimation method of passive safety systems in order to support the probabilistic risk assessment (PRA) of small modular reactors (SMR). The method has been influenced by the guidelines of EPRI and IAEA, and it can be summarized in two main consecutive steps. First, the scenarios that induce different conditions to the passive safety system are systematically and thoroughly identified, grouped and screened. Second, the conditional failure probability of the passive safety function is estimated using expert judgment in each scenario. Thermal-hydraulic simulations are used to support the expert judgments. Compared to many existing methods, which are often simulation-based, this method avoids the performance of a very large number of deterministic simulations.
In the method, the integration of plant level scenarios and conditions to component level phenomena and estimating their impact to system level reliability supports the very needs of PRA. The method is demonstrated in the paper using the LDR-lite SMR design concept, which is a public research study version of the LDR-50 SMR design created at VTT and now developed and commercialized by Steady Energy. The LDR-lite design, which is a low-temperature, integral, district heating reactor, relies on passive emergency core cooling function that is in the focus of the presented reliability analysis demonstration.
The paper presents a reliability estimation method of passive safety systems in order to support the probabilistic risk assessment (PRA) of small modular reactors (SMR). The method has been influenced by the guidelines of EPRI and IAEA, and it can be summarized in two main consecutive steps. First, the scenarios that induce different conditions to the passive safety system are systematically and thoroughly identified, grouped and screened. Second, the conditional failure probability of the passive safety function is estimated using expert judgment in each scenario. Thermal-hydraulic simulations are used to support the expert judgments. Compared to many existing methods, which are often simulation-based, this method avoids the performance of a very large number of deterministic simulations.
In the method, the integration of plant level scenarios and conditions to component level phenomena and estimating their impact to system level reliability supports the very needs of PRA. The method is demonstrated in the paper using the LDR-lite SMR design concept, which is a public research study version of the LDR-50 SMR design created at VTT and now developed and commercialized by Steady Energy. The LDR-lite design, which is a low-temperature, integral, district heating reactor, relies on passive emergency core cooling function that is in the focus of the presented reliability analysis demonstration.
| Original language | English |
|---|---|
| Title of host publication | Conference Proceedings - PSAM 18 |
| Publisher | International Association of Probabilistic Safety Assessment and Management IAPSAM |
| Number of pages | 10 |
| Publication status | Published - Jul 2026 |
| MoE publication type | A4 Article in a conference publication |
| Event | Probabilistic Safety Assessment and Management Conference, PSAM 18 - Pittsburgh, United States Duration: 19 Jul 2025 → 24 Sept 2026 |
Conference
| Conference | Probabilistic Safety Assessment and Management Conference, PSAM 18 |
|---|---|
| Abbreviated title | PSAM18 |
| Country/Territory | United States |
| City | Pittsburgh |
| Period | 19/07/25 → 24/09/26 |
Funding
The method development was started as part of the development work of LDR-50 with Steady Energy’s funding and continued in the SAFER2028 research program.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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