ECoalVis: Visual Analysis of Control Strategies in Coal-fired Power Plants

Improving the efficiency of coal-fired power plants has numerous benefits. The control strategy is one of the major factors affecting such efficiency. However, due to the complex and dynamic environment inside the power plants, it is hard to extract and evaluate control strategies and their cascadin...

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Veröffentlicht in:IEEE transactions on visualization and computer graphics Jg. 29; H. 1; S. 1 - 11
Hauptverfasser: Liu, Shuhan, Weng, Di, Tian, Yuan, Deng, Zikun, Xu, Haoran, Zhu, Xiangyu, Yin, Honglei, Zhan, Xianyuan, Wu, Yingcai
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States IEEE 01.01.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Coal-fired power plants
Complexity
Data visualization
Efficiency
energy data visualization
Impact analysis
Industries
Interactive control
Interactive systems
Positive feedback
Power generation
Power plant visual analytics
Sensor systems
Sensors
smart factory
spatiotemporal visualization
Time series analysis
Visual analytics
ISSN:1077-2626, 1941-0506, 1941-0506
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Zusammenfassung:Improving the efficiency of coal-fired power plants has numerous benefits. The control strategy is one of the major factors affecting such efficiency. However, due to the complex and dynamic environment inside the power plants, it is hard to extract and evaluate control strategies and their cascading impact across massive sensors. Existing manual and data-driven approaches cannot well support the analysis of control strategies because these approaches are time-consuming and do not scale with the complexity of the power plant systems. Three challenges were identified: a) interactive extraction of control strategies from large-scale dynamic sensor data, b) intuitive visual representation of cascading impact among the sensors in a complex power plant system, and c) time-lag-aware analysis of the impact of control strategies on electricity generation efficiency. By collaborating with energy domain experts, we addressed these challenges with ECoalVis, a novel interactive system for experts to visually analyze the control strategies of coal-fired power plants extracted from historical sensor data. The effectiveness of the proposed system is evaluated with two usage scenarios on a real-world historical dataset and received positive feedback from experts.
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ISSN:1077-2626
1941-0506
1941-0506
DOI:10.1109/TVCG.2022.3209430