This article deals with the implementation of an automated simulator for the optimization of power-flows in blocks of buildings (prosumers) by controlling local generation, storage and consumptions in real-time and simultaneously. Among the advantages of the proposed multi-agent saver, a special emphasis is given to the benefits that may be achieved in carbon reduction and consequent environmental protection. The simulator can be operated in either 'Economy' mode to maximize economic profit, or 'Energy' mode, for better energy saving. The selection of the ideal strategy depends on a number of factors, among them weather forecasts, kilowatt-hour current rates and the random mechanism of electricity demand associated to the different activities performed within the building.
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