The purpose of this study was the development of a simulation model to verify the logistic feasibility of the construction of a new regazification offshore terminal feeding a power plant located in Africa, subjected to a possible future doubling. In particular the model was used to test the proper supply of LNG (Liquefied Natural Gas) in the power plant real operating conditions and with particular reference to certain sizing configurations of vessels involved (dimensional range for tank buffer, shuttle ship size range). The model, taking into account sea conditions data available on site, extensively characterized during the oceanographic studies made, and with reference to defense works type realization and preliminary sizing (and specifically the breakwater dam and the its effect on the perturbation conditions in the proximity of the ship's mooring points) has assessed the risk of the power plant supply failure and the consequent lack of production (Unavailability of LNG or shut down). Moreover, the model estimated, for the scenarios simulated, the residence berthing times, the maximum frequency of unloading and the mooring / unmooring frequency reachable.

This paper provides an overview of algorithms used by intelligent agents in order to guarantee Computer Generated Forces (CGF) control; the authors propose a solution to be applied in movements of entities involved in civil disorders within urban framework. This research is part of a large project (PIOVRA) devoted to face the challenge of human behavior modeling in riots and demonstration within a large set of possible scenarios; these alghoritms are characterized by high flexibility in order to be effective in PIOVRA Intelligent Agents