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Advanced CFD Analysis Enhances Blast Cooling Performance at Major UK Bakery
We recently completed a detailed Computational Fluid Dynamics, or CFD, analysis for a major bakery production facility in Oldham, supporting the optimisation of blast cooling performance within a high-output cake manufacturing environment.
The project focused on a blast cooler serving a key production line. The objective was to understand precisely how air was moving through the chamber, how temperature was distributed across product loads, and whether cooling performance could be improved through design refinement. Rather than relying solely on operational feedback or theoretical calculations, we applied advanced simulation modelling to evaluate the system under realistic process conditions.
Understanding the Cooling Challenge
Blast cooling plays a critical role in bakery production. Product must be cooled rapidly and uniformly to protect quality, maintain structure and support downstream packaging operations. Uneven airflow, temperature stratification or recirculation zones can lead to inconsistent cooling, extended cycle times and increased energy consumption.
In this case, the client wanted to gain a deeper understanding of the airflow patterns within the blast cooler. There were concerns around temperature uniformity and potential inefficiencies in how conditioned air was being delivered across product stacks.
We were asked to provide a data-led assessment of the cooler’s internal performance and to identify whether modifications could enhance efficiency and consistency.
Applying Computational Fluid Dynamics
To achieve this, we developed a detailed CFD model of the blast cooler, incorporating accurate representations of the chamber geometry, evaporator coil position, fan performance, product load arrangement and airflow pathways.
The simulation allowed us to visualise air velocity profiles, temperature gradients and pressure distribution throughout the chamber. By modelling the interaction between supply air, product trays and return air pathways, we were able to identify areas where airflow was bypassing product and where recirculation zones were forming.
This level of analysis goes far beyond standard commissioning checks. It provides a three-dimensional insight into how the system behaves under real operating conditions.
Identifying Performance Improvements
The modelling revealed specific airflow characteristics that were limiting cooling uniformity. In certain areas, velocity was lower than expected, reducing heat transfer from the product surface. In other zones, air was short-circuiting directly back to the return path without fully engaging with the product load.
By adjusting air distribution strategies within the simulation, we were able to test alternative configurations and predict their impact before any physical changes were made. This approach enabled us to propose targeted improvements aimed at increasing cooling consistency while maintaining energy efficiency. Because the analysis was data-driven, recommendations were based on quantifiable performance metrics rather than assumption. This significantly reduced the risk associated with implementing design changes.
Supporting Energy and Process Efficiency
Uniform cooling does not only affect product quality. It also influences energy performance and throughput. Where airflow is poorly distributed, fans may run at higher speeds, and refrigeration plants may operate for longer periods to achieve target temperatures. Through CFD modelling, we were able to assess how improved airflow distribution could reduce cooling cycle times and lower overall energy demand. Even marginal improvements in heat transfer efficiency can deliver meaningful operational savings in high-volume production environments.
By aligning airflow design with process requirements, we helped ensure that the blast cooler operates at its optimum performance point.
Data-Led Engineering in Practice
This project demonstrates how we use advanced modelling and analytics to support clients in complex industrial environments. Rather than applying standard design templates, we combine engineering experience with digital simulation tools to validate performance before modifications are made. CFD analysis enables us to visualise conditions that are otherwise invisible. Air movement, turbulence and temperature stratification cannot be seen during normal operation, yet they have a direct impact on product quality and plant efficiency. By simulating these conditions, we gain clarity and control over system behaviour. This structured, analytical approach supports better decision-making, reduces commissioning risk and ensures that capital investment delivers measurable results.
Innovation at the Core of Our Approach
At Newsome, we see modelling and simulation as integral parts of modern engineering practice. As production facilities become more demanding and energy efficiency becomes increasingly important, data-driven design provides a competitive advantage.
Our ability to apply CFD, process modelling and performance analytics ensures that we deliver solutions that are technically robust, energy-aware and aligned with real-world operating conditions. The blast cooler analysis in Oldham is another example of how we continue to invest in innovative engineering techniques to help our clients improve efficiency, enhance process control and maintain high production standards.
By combining advanced simulation tools with practical HVAC and refrigeration expertise, we remain committed to designing industrial temperature control solutions that are precise, efficient and built for long-term performance.