An efficient smart and connected community (SCC) depends on the interconnectivity of essential infrastructure systems. However, current modeling tools cannot determine which interconnections are most important to include, particularly as system dynamics become more complex with high-order effects.
As a joint effort of current and former SBS Lab Ph.D. students Saranya Anbarasu, Kathryn Hinkelman, and Jing Wang, our new paper in the Journal of Energy and Buildings proposes a comprehensive framework that incorporates multi-layers, multi-blocks, and multi-agents to model interdependent infrastructure systems. Interconnections span cyber, physical, and logical aspects, including human interactions. With the equation-based object-oriented language Modelica, we model energy, transportation, communication, and water systems for a hypothetical SCC and assess higher-order interdependency effects during normal operation. Additionally, we develop a quasi-Monte Carlo sensitivity analysis framework and use variance-based sensitivity metrics to assess the impact of interdependencies on energy system operation.
This paper can be accessed freely until September 5, 2024 at this link.
