Resilience assessment

A qualitative and quantitative approach to determine the extent of resilience by analysing the potential risk and the existing capacity to resist, absorb, accommodate, adapt to, transform, and recover from the negative effects associated with a disaster in a timely and efficient manner.


Notes:

1. Resilience assessment requires a listing of metrics that would vary based on infrastructure sector, scale, and geographic location.

Reference:

Modified from UNDRR Sendai Framework Terminology on Disaster Risk Reduction (2023) on "Disaster risk assessment" and "Resilience".

URL: UNDRR - Disaster Risk Assessment and UNDRR - Resilience

 

Resilience assessment of interdependent energy systems during hurricanes

The increasing interdependence of different infrastructure systems implies that traditional standalone system analysis is no longer sufficient. This is particularly evident in the case of power supply systems, which play a crucial role in maintaining regular operations in other Critical Infrastructures (CIs). However, power supply systems are highly vulnerable to extreme weather events (EWEs), such as hurricanes. In addition, the internal complexity between CIs and rising environmental risks from EWEs could amplify disruptive effects and pose a threat to reliable and continuous energy supply. To effectively measure the resilience of transmission power systems under hurricanes, a multi-attribute construct of indices is required to quantify the system performance from operation and infrastructure perspectives. These assessment indices can be used proactively to guide the preparation of power systems or integrated energy systems in the event of an approaching hurricane. Resilience assessment methods can also be used in co-planning of integrated power systems or to serve as a decision-making tool for selecting resilience enhancement strategies in the future.

 

Source: Zhang, H. (2019). Resilience assessment of integrated energy systems under hurricanes. Doctoral thesis, Nanyang Technological University, Singapore.