In the chemical industry, multivariate analysis involves simultaneous analysis of complex data sets that include multiple interdependent variables, such as temperature, flow rate and chemical composition. By analyzing data on multiple variables, engineers can identify the most sensitive factors affecting energy efficiency and performance and select a design or operating condition that meets the process or product requirements.
This white paper examines how Dow Inc. uses smart multivariate analysis and optimization coupled with process flow sheet simulation to quickly optimize a polymerization process while achieving sustainability goals.
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