Analyzing the disruption resilience of bioenergy parks using dynamic inoperability input-output modeling.

摘要: Bioenergy parks are low-carbon industrial symbiosis networks that comprised of biomass processing plants. However, such highly integrated energy systems inherently vulnerable to capacity disruptions. The strong interdependencies among component plants in a bioenergy park decrease system resilience due cascading failure effect. consequences disruptions even greater if the critical components damaged. Resilience is defined as ability an withstand disruption and subsequently recover its normal state. In this work, framework developed analyze against array scenarios. This derived from dynamic inoperability input–output modeling previously used economic infrastructure systems. A microalgal multi-functional case study presented demonstrate applicability framework. example shows influenced by both recovery time their degree connectivity within network; insights can be for planning more disruption-resilient parks.