摘要：AbstractAs presenting a part of a larger study, the aim of this paper is to present how the change management is considered from the first steps in the implementation of a solar energy generator as a need in the complex change process from totally fossil to a hybrid system (that may reach 100% solar), in the presence of technological and economic change triggering factors (CTF).The need of change management (CM) in the implementation of solar energy generation begins from the very moment and first discussion between the service provider (facilitator, consultant, research team, etc.) and the decisional factors (end-users), due to different approaches, in this new and non-standardized activity, and the capacity to understand the implications on medium and long terms of different decisions made by the involved players..When solar generation facility is designed it starts with an investigation of the design data identification. Usually the end-user must provide these data but, also usually, it is not capable to do that and therefore the transition process is affected by incoherent, inconsistent or even false data.It is totally different to follow the conformity or to run for process lifecycle management (PLM) applying the benefits of change management theory. Those made more complicate the problem, adding new considerations like changes in safety regulations, adapted cleaning necessities and possibilities, continuous development of new materials, sensors requirements, extra data flows, modifications in the intervention resources, and the appearance of different staff profile or staff training.The global change management activities encompass all the 4 mentioned aspects, reiterating that the staff training and acceptance make no part of the mentioned study.One of the goals of the mentioned research is to identify a proper problem modeling and digitization in order to raise the right funding that may contribute to better results. As simple as it seems, the mathematical models evolve to more complex scenarios but having a better implementation certainty.
