Energy import resilience with input-output linear programming models

- We propose an energy import resilience index based on input-output linear programming models.
- The index evaluates maximum level of energy import loss absorbed by the economy without demand deficits.
- A mixed integer programming model is developed to compute the resilience index efficiently.
- A case study using China data is developed to study the energy import resilience under different power generation portfolio assumptions.

In this work we develop a new approach to study the energy import resilience of an economy using linear programming and economic input-output analysis. In particular, we propose an energy import resilience index by examining the maximum level of energy import reduction that the economy can endure without sacrificing domestic demands. A mixed integer programming model is then developed to compute the resilience index efficiently. The methodology is applied to a case study using China input-output data to study the energy import resilience under different power generation portfolio assumptions. We demonstrate how our models can be used to uncover important inter-sectoral dependencies, and to guide decision-makers in improving the energy resilience in a systematic manner.