The Ozonation Series – episode 3: Things to consider when scaling up your ozonation process

You can revolutionise your ozonation process by applying simulation models. This is especially true when you’re scaling up your ozonation process from batch or pilot tests to a full-scale installation.

There are different ways to benefit from modelling at that stage. We list three of them in this article.

Are you interested to learn more about ozonation?

Check out the previous episodes of our Ozonation Series blogs to discover more on modelling ozonation and how the water matrix impacts your ozonation process.

Save time and cut costs

Due to the complexity of chemical reactions with the effluent matrix and site-specificity of ozone, utilities and designers engage in extensive onsite piloting trials before full-scale implementation. These piloting efforts easily cost hundreds of thousands of EUR and over a year to several years of time investment.

Modelling your ozonation process with a tool like AMOZONE provides a solution for these challenges.

First, it leads to significant time and cost savings as it replaces real-life piloting and expensive analyses with virtual simulations. Modelling allows for cost savings of hundreds of thousands of euros and time savings of over a year.

Watch and learn

Virtual modelling with simulations also provides unprecedented insights as you can perform numerous virtual tests that are impossible to conduct in reality. High-resolution visualisations of critical variables that you can’t measure (such as ozone residual, bromate, target contaminants and hydroxyl radicals) allow better process understanding. For example, you can monitor bromate and target contaminant removal in real-time, which is impossible in real life.

Scaling up your ozonation process

Batch tests (lab) or pilot tests (lab or onsite) are often used as a starting point to design an ozonation system. However, scaling up from these batch or pilot tests to a full-scale installation involves many uncertainties, and you need to be careful with the assumptions you make based on those.

Batch and pilot tests are meant to gather information for future full-scale applications, but batch and pilot-scale designs are often not representative for extrapolations. The way you perform batch tests or the specific conditions of batch tests have an essential effect on the results and conclusions you draw. And that’s a pitfall.

The below video illustrates the impact of the human factor when dealing with batch experiments. The ozone injection speed, for instance, highly influences bromate formation.

The video above also shares disruptive insights where CFD modelling is coupled with kinetic modelling to offer a 3D view of your process.

Kinetic modelling allows for more insights into how you can optimally design your system. You can benefit from it at a small scale to extrapolate results or when you’re designing a full-scale plant.

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