Deepen the construction of smart power plants and create a new paradigm of high-quality “thermal power”
GSI127-244-127-000-017 At present, with years of practice and technical accumulation in the construction of new thermal power plants and traditional (old) thermal power plants, Schneider Electric has created smart power plant solutions covering the whole life cycle of power production for many leading enterprises in the industry. It provides asset information management platform, predictive maintenance System, AVEVA PI System operation big data management platform, APC advanced process Control software, EcoStruxure Control Advisor PID tuning optimization, EcoStruxure System The hardware and software product portfolio of Advisor DCS intelligent alarm and intelligent searching helps customers realize intelligent monitoring of power plants from operation to maintenance, speeding up the intelligent and low carbonization process.
GSI127-244-127-000-017 Huaihe Energy Group’s 660MW ultra-supercritical unit construction project in the first phase of Panji Power Plant is the best example. In the early stage of the project, based on the actual situation of the first phase of Panji Power Plant, Schneider Electric completed 11 replicable and reusable digital transfer standard documents from planning and design, installation trial operation to delivery and production, laying a solid foundation for the establishment of a unified, complete and high-quality big data platform for the whole plant. The predictive maintenance system prompts power plant workers to switch from passive maintenance to active defect elimination, post-fault handling to pre-defect management, realizing power plant fault warning and intelligent operation and maintenance, and ultimately turning it into an industry-leading model of smart power plants. Around this case, Schneider Electric highlighted the application and value of two key technologies in real scenarios:
• The asset information management platform is based on the digital twin technology covering engineering twin, asset twin and process twin, and adopts progressive delivery assistance construction to help Panji Power Plant complete a 1:1 physical reduction of three-dimensional virtual power plant modeling. By integrating massive power plant data and conducting visual management, the power plant “three-minute GSI127-244-127-000-017 plan” is not only realized. It also provides technical support for plant employees to carry out immersive simulation training, rapid maintenance work, etc., and establishes a three-dimensional digital power plant for the whole life cycle.
• Based on the historical big data of equipment operation in Panji Power plant, the predictive maintenance system uses machine learning algorithms, AI artificial intelligence, advanced pattern recognition and data mining technologies to establish a model of the normal operation state of the equipment; By continuously monitoring and comparing deviations between real-time equipment operation data and model prediction data, the system can provide early warning notifications and equipment diagnostic analysis to power plants days, weeks or months before a failure occurs, ensuring personnel safety and environmental friendliness, GSI127-244-127-000-017 and significantly improving plant asset life and performance management. Data show that Schneider Electric predictive maintenance system online 90 days, has successfully helped the Panji power plant to capture 25 abnormal warnings, significantly reduce 70-75% of non-shutdown time, and reduce 25-30% maintenance costs and 35-45% equipment and process downtime, not only for the power plant to save 19.4% of material costs, It also reduced inventory maintenance and repair by 17.8%, saving potential losses of more than 3 million yuan per year.
At present, with the deep integration of the energy industry and the digital industry, actively embracing cutting-edge technologies has become a key part of the upgrading and transformation of traditional power enterprises. In the future, Schneider Electric will always focus on the real needs of the power industry, rely on its own deep accumulation in the field of smart power plant construction, and work with more corporate partners to build safe, efficient and low-carbon smart power plants, promote the double transformation of the energy and power industry, and help achieve the “double carbon” goal with practical actions.