14Optimization through Modeling and Simulation

Optimization is to leverage key learnings in designing effective, efficient, and economic systems.

14.1 Principle

Mathematical model is the best way to describe a physical process so that the mass and energy efficiency of the process could be quantitatively predicted. Before a model could be used for this purpose, it has to be verified, calibrated, and validated. Models could be as simple as a black box at macro-scale or as detailed as some models of quantum chemistry or physics on micro-scale. In most SEE design, models at the elementary reaction level should be adequate. Fortunately, lots of commercial software are available. For example, ASM3biop is versatile‐activated sludge simulation developed by the International Water Association (IWA) with an extension by the Swiss Federal Institute of Aquatic Science and Technology (EAWAG). It allows the holistic analysis of wastewater treatment plant (WWTP) through the modeling and dynamic simulation of ...

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