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Systems optimisation to improve energy productivity

Systems optimisation - Cubility - Perth

Case Study Review

The purpose of these case studies is to demonstrate how systems optimisation can be used to improve energy efficiency and productivity in a wide range of industrial applications. Examples from three companies highlight different aspect of systems optimisation. Industrial processes are subject to numerous variables, which have traditionally required skilled and experienced operators to maintain optimal operating conditions. However, modern systems optimisation technology allows for this experience and judgment to be understood, modelled and automated.
The benefits can be significant. Depending on the process being optimised, they may include increased output, less downtime, increased energy efficiency, reduced energy costs, improved product quality or lower emissions. Many companies have already implemented new technologies or processes to improve energy efficiency. Systems optimisation offers the potential for even greater efficiencies by optimising the performance of the facility as a whole to improve productivity. It does this by making changes to processes in real-time and by automatically taking into account a range of complex parameters, which could include commercial variables such as commodity prices and customer demand.

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Article originally published by the Department of Resources, Energy & Tourism

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