Computational Modelling and Simulation to Assist the Improvement of Thermal Performance and Energy Efficiency in Industrial Engineering Systems: Application to Cold Stores

Computational modelling has emerged as a vital tool in the design and operation of engineering systems, particularly in improving energy efficiency and thermal performance in cold storage facilities. This chapter presents an analysis of three distinct computational tools utilized to enhance the operational efficiency of a specific agrifood company’s cold storage system. Initially, Computational Fluid Dynamics is applied to optimize the velocity and temperature distributions within the cold room. Subsequently, an energy analysis coupled with a thermal load simulation is conducted to minimize the thermal loads imposed on the facility. Lastly, a statistical prediction model that leverages empirical correlations is employed to assess the energy performance of the cold storage, facilitating a comparative analysis against typical operational metrics. The combined outcomes from these methodologies demonstrate significant enhancements in thermal performance, which correlate with enhanced food safety and substantial reductions in energy consumption. The results underscore the effectiveness of integrating various computational modelling techniques to achieve desirable outcomes in industrial energy management.