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Energy benchmarking of processes is important for setting energy efficiency targets and planning energy management strategies.
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Benchmarking of process industries with respect to energy consumption has always been a challenging issue for effective management of energy resources.
The resulting deviations to simulations with a change in operational parameters are evaluated, thereby allowing the comparative benchmarking of process models for screening in transient operation.
Figure 1 shows the recommended benchmarking process based on this study and compares it with the benchmarking processes of Spendolini [ 5] and Van Hoorn et al [ 6].
A large benchmark of process scenarios has been investigated and the obtained results show that the selection of the best strategy is not a straightforward task due to the influence of several process operating parameters.
Additionally, energy efficiency benchmarking of single processes give insight into the effectiveness of improvement measures and allow to identify best practice process and product designs.
The resulting deviations are evaluated and thereby allowing the comparative benchmarking of available process models for continuous screening.
On the basis of the DEM-simulations screening efficiencies are obtained which allow the adjustment and thereon benchmarking of the process models through parameters such as the residual particle mass on the screen.
The overall mass targets identified using the techniques of Chapter 3, Benchmarking Process Performance Through Overall Mass Targeting, can be attained when there are no technical or financial limitations on the solutions.
The results obtained for a benchmark of 64 process stage scenarios show that the activities configuration and some process operating parameters influence the selection of the best control chart strategy; to model the random shift size, its exact distribution can be approximately fitted by a discrete distribution obtained from a relatively small sample of historical data.
To perform the benchmarking of batch screening process models, it is not relied on experimental investigations, but on detailed DEM-simulations involving both spherical and non-spherical particles in the investigation here.
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