A multi-layer agent-based model for the analysis of energy distribution networks in urban areas.

Significant research contributions and Directives approach the issue of the insertion of renewable-based energy systems on urban territory in order to face with the growing energy needs of citizens. The introduction of such systems gives raise to installers to both satisfy their energy demands and distribute eventual energy excesses to close neighbours. This paper presents a multi-layer agent-based computational model that simulates multiple events of the energy distribution occurring within urban areas. The model runs on the NetLogo platform and aims at elaborating the most suitable strategy when dealing with the design of a network of energy distribution. Experimental data are discussed based on two main scenarios within an operating period of 24 h. Scenarios consider both the variation of the percentages of installers of renewable-based energy systems and the distance along which energy exchanges occur. [ABSTRACT FROM AUTHOR]