The diffusion of energy technologies in the cities of the future is the key towards a more sustainable community. The increasing use of renewable energy sources, efficient energy conversion machines, storage systems and ICT solutions, thanks to increasing amount of energy data, will require methodologies to support the decision-making process in long-term urban energy planning. To reach the goal, these technologies have to be integrated and interconnected between them, especially in the urban context, as well as encourage their use, considering the consumer's energy choices end environmental constraints. This preliminary study aimed to develop an Agent-Based Modelling (ABM) infrastructure to simulate a complex adaptive socio-techno-economic system in energy technology adoption.