• • Boiler combustion optimization using support vector machines and neural networks improves boiler thermal efficiency and reduces NOx emissions, directly lowering operational costs and environmental compliance burden.
• • Turbine flow path upgrades, including full three-dimensional CFD optimization, new high-efficiency blades, and combined steam seals, significantly increase cylinder efficiency and reduce heat rate, leading to measurable fuel savings.
• • Installation of low-temperature economizers reduces unit coal consumption and decreases energy and water consumption in dust removal and desulfurization systems, yielding both economic and environmental benefits.
• • Data-driven predictive maintenance and real-time performance optimization of condensers achieve nearly 50% energy savings in circulating water pumps and an average reduction in coal consumption rate of 2-3 g/(kW·h), demonstrating substantial operational efficiency gains.