Start-Up and Ramp-up Optimization
Read here how performance engineers used Visplore to reduce the start-up and ramp-up analysis effort by a factor of 10 and made turbine start-ups 30 minutes faster with 20% less fuel consumption.
Visplore Professional features ready-to-use solutions for the intuitive analysis and optimization of start-up or ramp-up operations.
Identifying two normal and one anomalous start-up procedure.
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Long term overview of anomaly score in context of other parameters.
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Substantially increased volatility in the power grid requires utility companies to cycle their thermal power plants output more frequently and more rapidly. Optimizing these start-up, ramp-up and down operations therefore plays an increasingly important role in the utility’s performance optimization, to save fuel while remaining within the plant’s technological capabilities.
However, optimizing start-up procedures is a complex task. In the past the effectiveness depended heavily on experience and intuition of the individual operators. Analyzing and evaluating start-up processes are very time-consuming. Steps such as extracting data and comparing periods of load changes is very tedious, when using tools as for example Excel. Further, as start-up optimization requires in-depth knowledge of critical parameters, only available through performance engineers, the analysis process could neither be fully automated nor outsourced to data scientists.
Visplore reduces these challenges to a minimum and enables performance engineers to intuitively analyze start-up and ramp-up operations with minimal effort.
Perfect for dirty sensor data. With Visplore, we give customers more insights for the same money.
When we need it fast, we use Visplore.
Visplore enabled us to gain significant new insights from massive data about the impact of production process parameters on product quality.
Thanks to its ease of use and high performance even with millions of measurements, Visplore has established itself as our standard tool for quality management in plants from China to South America.
Checking and cleaning data from energy systems used to be very time-consuming and kept us from our core tasks. With Visplore, data preparation has become much faster, and the quality of the resulting data has improved.
The good usability and the comprehensive visualizations enabled us to gain a deeper understanding of routinely collected data and their relationships. For example, this increased the quality of forecast models.
Visplore is recognised and in use as a central strategic software for data analytics throughout the company.
By analyzing process data from a large foundry with Visplore, complex dependencies were detected that we didn’t find with other software. As a result, our customer’s heat energy was reduced by around 5% and mold wear by around 4%.
For our thermodynamical simulations, Visplore helps us to identify suitable data, eliminate outliers, and analyze physical processes very effectively.
The visualization is fast and simple enough for live collaboration with the customers, on site. By this, Visplore supports a thorough understanding of correlations, outliers, and anomalies.
Visplore makes our analysis of sustainable energy systems much more efficient.
In addition to the performance for large data, its integration with scripting environments is a big plus.
Visplore allows for a much easier investigation of relevant patterns and structures. Our downstream analysis becomes more efficient and we gain more confidence in the results.