Diagnostic assessment and renovation scheme design
2026-02-04 11:48Diagnostic assessment and renovation scheme design
The maintenance and replacement of the power plant cooling tower should follow the three-stage path of "problem diagnosis - scheme optimization - precise implementation". During the diagnosis stage, methods such as endoscope inspection, infrared thermal imaging, and water quality analysis should be adopted to comprehensively assess the condition of the cooling tower. A certain power plant, through the implementation of infrared thermal imaging detection, discovered abnormal temperature gradients in the packing layer and promptly carried out partial replacement, avoiding large-scale shutdown losses.

2.1 Cooling Tower Condition Assessment Technology
A three-dimensional laser scanning technology is employed to construct a digital twin model of the cooling tower, enabling precise identification of issues such as deformation, corrosion, and scaling. A power plant implemented digital twin modeling and discovered that the verticality deviation of the cooling tower body was 8mm. Through correction processing, the system stability was improved by 12%, and the number of unplanned shutdowns was reduced by 0.5 times per year. Water quality analysis requires the detection of indicators such as pH value, chloride ions, and microorganisms, providing a scientific basis for the renovation plan.

2.2 Optimization Design of Renovation Scheme
Based on the diagnostic results, a personalized renovation plan is formulated, including measures such as filler replacement, fan optimization, and flow rate control. A certain power plant used CFD flow field simulation to optimize the filler layout, which improved the system's hydraulic balance by 10% and saved 1.2 million yuan in pump set energy consumption annually. For high-corrosion environments, 316L stainless steel fillers are recommended, whose corrosion resistance is more than five times that of ordinary carbon steel, and this reduces the annual replacement cost by 1.5 million yuan.
