The power industry is undergoing transformation and transformation: the increase of wind and solar renewable energy, the development of battery storage technology, and the increasing pressure to reduce operating expenses, all of which have led to the need to improve operational flexibility. Develop a plan to bring utilities into the future with the right sensors, cybersecurity policies, and data analysis, which will allow plant assets to cycle more frequently, and thus keep plant assets in a healthier state.
Due to the digital transformation caused by the adoption of the Industrial Internet of Things (IIoT), manufacturing, including power services, is accelerating. Although the first step in digital conversion is to align the sides of the image that created the data, it must be balanced by proper analysis for it to be effective.
The data generated by all these new sensors must be collected and analyzed to extract meaningful and valuable information. First-principles models and analyses can be developed for more and more abnormal conditions, root causes, and failure modes associated with specific types of assets. After processing, engineers can use the data to predict problems before they impact operations. This enables maintenance, reliability, safety, plant engineering and other departments to make faster, smarter decisions about their operations. With these smart decisions, you can save costs, avoid costs, improve maintenance and reliability, increase safety, and increase heat generation.
It can be developed in various ways to meet the needs of the company. Typically, users choose to install them on a physical server, a separate workstation, a boundary device, or a virtual server. For those who do not want to take charge of internal hosting, these applications can be hosted in the cloud. The type and location of the host are user-defined and should reflect the company’s larger digital transformation strategy. Some companies prefer asset-based analysis on-site or on-site for diagnostics and other calculations closer to the asset itself. This will make swift and wise decisions, which will affect the reliability, maintenance and speed of the heat source. On the other hand, cloud environments are often more practical and can support a deeper analysis of park costs and efficiency. In any case, the use case should determine the location of the interaction and the residence of the analyst.
The end users who need to do this analysis internally often find that they have to create a lot of content from scratch using expensive user programs and unique user interfaces. Delay time is inadvertently built in because even simple files can run in general-purpose software such as Microsoft Excel. These types of work generate specialized feedback, but are not built for scalability or continuous data processing. The updated platform, this information is now constantly available everywhere. Territorial programs constantly assess the status of equipment, facilities and processes, without requiring regular manual analysis.
This can provide faster feedback for better decision-making. The new platform is built on specialized programs that are specifically targeted to specific types of factory assets or subsystems. This allows them to perform specialized analysis without writing user code, which shows much of the graphic design or user experience. Because such applications can connect directly to the device or operate through a distributed management system (DCS) or other host system as needed, they can be used in conjunction with active or passive subsystems. Most users find this type of integration unnecessary, but it is possible to operate in older environments.
The current question becomes how power companies can apply these concepts to the various units in their fleet. There is no one answer, because most utilities have different plant types and ages. Fortunately, the adaptability of these applications makes them suitable for the latest combined cycle gas turbine units or the oldest subcritical coal-fired boilers. Given the limitations of such articles, the discussion will be narrowed to the former.
Many combined cycle plants that were originally conceived to operate infrequently, now find themselves operating at base load or as cycle units. These factories are usually built with minimal automation to reduce costs, which leaves them with insufficient knowledge of current operations. Fortunately, these upgrades are not the main task, and many upgrades can even be done on the fly.