دانلود رایگان مقاله انگلیسی دیدگاه های مدیریت تغییر در اجرای انرژی خورشیدی - الزویر 2018

Abstract

As 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.

4 Conclusions

The change management and success criteria, performance measurement will be more accurate and the implementation progress much reliable. Each stage is considered in a Project form, the application of the digitalization facilities for modeling and Project evolution monitoring became implementation tasks within the research activity. At this point the research activity is at PhD stage level. One of the goals is to identify a proper funding that contributes to better results. As simple as it seems, the mathematical models evolve to more complex scenarios but having a better implementation certainty. The obtained results offer the chance for the implementation parameters optimization and the capability to guide decision over technology selection, based on the lifecycle management generation.