Cooling Tower Performance Optimization and Thermal Management
Summary
Cooling towers play a pivotal role in industrial and power‐generation sectors by rejecting waste heat through evaporative cooling. Performance optimisation encompasses strategies to reduce energy consumption, conserve water and minimise visible plumes, while thermal management focuses on maximising heat and mass transfer efficiency. Advances in computational modelling, control algorithms and structural design have enabled dynamic adaptation of tower networks to changing loads and ambient conditions. Key approaches include optimised fill materials and layouts, intelligent capacity control and integration of hybrid dry–wet systems. Enhanced understanding of flow patterns, packing compaction and drift elimination has led to demonstrable improvements in both cooling effectiveness and resource efficiency. Collectively, these developments offer pathways to lower operational costs, reduced environmental impact and greater resilience under variable climatic stresses.
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Cooling Tower Performance Optimization and Thermal Management publication trend
The graph below shows the total number of articles in cooling tower performance optimization and thermal management across all publications each year (not limited to Nature Index journals).
Technical terms
Flexible topology network: A cooling water system design that allows reconfiguration of network connections to adapt to variable operating conditions for improved energy efficiency.
Counter-flow configuration: A cooling tower arrangement where water and air flow in opposite directions to maximise heat and mass transfer.
Merkel number: A dimensionless parameter quantifying the combined heat and mass transfer capacity of a cooling tower fill section.
Particle swarm optimisation: A computational algorithm inspired by collective animal behaviour used to search for optimal parameters in complex systems.
Packing compaction: The degree of densification of fill material within a cooling tower, affecting contact area and fluid dynamics.
References
- Multiperiod optimization of cooling water system with flexible topology network. Green Chemical Engineering (2024).
- Numerical analysis of a counter-flow wet cooling tower and its plume. International Journal of Thermofluids (2022).
- Experimental Investigation on Improvement of Wet Cooling Tower Efficiency with Diverse Packing Compaction Using ANN-PSO Algorithm. Energies (2020).
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