Issue link: https://resources.mouser.com/i/1442808
12 4.0 Digital Twinning for Power Plants I n a digital power plant, DTs use a combination of physics-based methods and advanced analytics to accurately replicate the present state of the plant's assets. This combination allows the DTs to predict the power plant's aging patterns, anomalies, and future behavior. In the case of an existing plant/fleet, DTs can be used to infer the design limitations of an asset by comparing it to thousands of similar assets in the database. For a new plant in the commissioning stage, DTs are useful to guide the design limitations of the new power generation unit. Each DT represents all the necessary aspects of its physical asset. In addition to thermal, mechanical, electrical, chemical, fluid dynamics, material, lifing, economic, and statistical characteristics, operators may also simulate variations of the operational parameters such as the fuel mix, ambient temperature, air quality, moisture, load, weather forecast models, and market pricing. Use Case: Industrial IoT Partners with Digital Twins to Optimize Power Plants Power plant leaders are increasingly relying on digital twins (DTs) integrated with advanced analytics to improve operations. DTs enable these leaders to predict plant performance, aging patterns, anomalies, and future behavior. By Sravani Bha acharjee for Mouser Electronics In power plants, point solutions are inadequate to optimize operations, reduce unplanned outages, and align production with variations in market conditions such as fuel costs and weather patterns. Plant leaders are increasingly relying on "digital twins" (DT) integrated with advanced business analytics applications to fill this gap. In this article, we will discuss how DTs are impacting power plant operations and the critical decisions of plant leadership. (Note that some details in this use case highlight the results of General Electric Company's [GE's] use case, summarized in its report, entitled "GE Digital Twin: Analytic Engine for the Digital Power Plant.")