Functional chain analysis for a new built nuclear power plant
Elbayoumi, Abdelrahman (2021)
Diplomityö
Elbayoumi, Abdelrahman
2021
School of Energy Systems, Energiatekniikka
Kaikki oikeudet pidätetään.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2021092847309
https://urn.fi/URN:NBN:fi-fe2021092847309
Tiivistelmä
Nuclear power plants (NPP) are well-known for their multidisciplinary character as well as the high degree of coupling and interaction between their elements. Consequently, regulatory bodies tend to induce a massive number of requirements to ensure the nuclear safety of the power plant, these requirements aim to apply the defence-in-depth (DiD) safety approach. In Fennovoima Hanhikivi 1 (FH1) NPP, the DiD approach is applied through formalizing functional entities which are assigned to various DiD levels.
Each functional entity consists of safety functions that share common non-functional de-sign requirements including safety class, failure criterion, diversity, separation, seismic and environmental requirements. By investigating the safety functions of FH1 NPP, one concludes that they are significantly interconnected and exchange a huge number of signals. Therefore, verifying each safety function independently is not effective because a function may seem to perform its function when it is considered alone, but challenges are found when also the interconnected functions are considered. Thus, it becomes essential to verify the whole functional chain which can be defined as a set of safety functions that interact together to guarantee the success of plant systems.
In this study, a methodology for performing the functional chain analysis has been developed and formalized. The methodology mainly targets verifying five aspects of the functional chain which are: measurements, actuators, processing logic, human-machine interface, and cabling between various components. Furthermore, two prototypes for a review-ing tool, that performs the functional chain analysis, have been developed utilizing MATLAB and Microsoft Access. Finally, the developed methodology was applied to the high-pressure safety injection functional chain of FH1 NPP. The application of the methodology revealed design issues that need to be further clarified with the plant supplier. The main usefulness of the functional chain analysis is that it can be considered as one more last check before the equipment of FH1 NPP systems are physically manufactured.
Each functional entity consists of safety functions that share common non-functional de-sign requirements including safety class, failure criterion, diversity, separation, seismic and environmental requirements. By investigating the safety functions of FH1 NPP, one concludes that they are significantly interconnected and exchange a huge number of signals. Therefore, verifying each safety function independently is not effective because a function may seem to perform its function when it is considered alone, but challenges are found when also the interconnected functions are considered. Thus, it becomes essential to verify the whole functional chain which can be defined as a set of safety functions that interact together to guarantee the success of plant systems.
In this study, a methodology for performing the functional chain analysis has been developed and formalized. The methodology mainly targets verifying five aspects of the functional chain which are: measurements, actuators, processing logic, human-machine interface, and cabling between various components. Furthermore, two prototypes for a review-ing tool, that performs the functional chain analysis, have been developed utilizing MATLAB and Microsoft Access. Finally, the developed methodology was applied to the high-pressure safety injection functional chain of FH1 NPP. The application of the methodology revealed design issues that need to be further clarified with the plant supplier. The main usefulness of the functional chain analysis is that it can be considered as one more last check before the equipment of FH1 NPP systems are physically manufactured.