Renewables such as wind energy, retain many of the business drivers of traditional energy production methods but they have some specific considerations:
Delivering product at a competitive strike price compared with other energy producers.
Managing increasing turbine sizes and more challenging locations such as offshore.
For renewables(wind) the lifecycle of the business model is described as follows:
Construction / manufacture /assembly. Often needing to manage multiple supplies.
There are some key notes in terms of how InfoQuick SD-WAN can be supportive of Industry 4.0 principles in the Wind energy sector:
For wind energy an asset based approach is taken to build, optimise and operate a best in class wind turbine. To support operations a digital twin is created and maintained in parallel. Actual performance from the Wind farm is collected and compared against the target virtual performance of the digital twin for any particular turbine each individual turbine can be modelled with its specifics and tuned in this fashion, this opens up huge performance improvement potential and drives a pro-active approach to maintenance. It requires sensor technology and IIoT connectivity, big data / analytics for this to happen. These challenges can be assisted in the field by adoption of InfoQuick SD-Wan and cloud capabilities.
Robotic technologies are already in use for the fabrication of wind turbines. Factories are also using IT to share information on delivery and collaborate on production requirements. Data relevant to populating the digital twin is created and assists with installation and operation. Data from operations can also be fed back into the manufacturing phase to deliver future improvements.
Part information is now being exchanged in data to streamline manufacture and delivery. It also avoids costly re-work.
Utilisation of emerging battery technologies which allow surplus generated electricity to be stored and fed back into the grid when needed. Again, these need to be connected to IIoT with InfoQuick offering support capabilities
Use of Cyber physical systems (CPS), big data and analytics as well IIoT to manage the renewable power grid and turbines in an optimum manner.