## Cees Haringa

45 records found

1

## Authored

## Bubbles and Broth

### A review on the impact of broth composition on bubble column bioreactor hydrodynamics

The growing global population and heightened concern for climate change leads to increased interest in utilizing microbial fermentations to replace polluting production processes for e.g., plastics, fuels, and animal proteins. Computational fluid dynamics (CFD) is a valuable t ...

## Microbial lifelines in bioprocesses

### From concept to application

Bioprocesses are scaled up for the production of large product quantities. With larger fermenter volumes, mixing becomes increasingly inefficient and environmental gradients get more prominent than in smaller scales. Environmental gradients have an impact on the microorganism' ...

## Bubble property determination

### Comparison between bubble data from a fibre probe, and a camera

## The computational power problem: a compartment model solution

### Automating the dynamic compartmenting of a stirred-tank reactor

## Predicting by-product gradients of baker’s yeast production at industrial scale

### A practical simulation approach

Scaling up bioprocesses is one of the most crucial steps in the commercialization of bioproducts. While it is known that concentration and shear rate gradients occur at larger scales, it is often too risky, if feasible at all, to conduct validation experiments at such scales. ...

## Computational fluid dynamics simulation of an industrial P. chrysogenum fermentation with a coupled 9-pool metabolic model

### Towards rational scale-down and design optimization

We assess the effect of substrate heterogeneity on the metabolic response of P. chrysogenum in industrial bioreactors via the coupling of a 9-pool metabolic model with Euler-Lagrange CFD simulations. In this work, we outline how this coupled hydrodynamic-metabolic modeling can ...

## Inter-compartment interaction in multi-impeller mixing

### Part I. Experiments and multiple reference frame CFD

CFD simulations of mixing in single-phase multi-Rushton stirred tanks based on the RANS methodology frequently show an over-prediction of the mixing time. This hints at an under-prediction of the mass exchange between the compartments formed around the individual impellers. So ...

## Inter-compartment interaction in multi-impeller mixing

### Part II. Experiments, sliding mesh and large Eddy simulations

Steady state multiple reference frame-RANS (MRF-RANS) simulations frequently show strong over-predictions of the mixing time in single-phase, multi-impeller mixing tanks, which is sometimes patched by ad hoc tuning of the turbulent Schmidt-number. In Part I of this work, we ex ...

## Simulating liquid droplets

### A quantitative assessment of lattice Boltzmann and Volume of Fluid methods

## From industrial fermentor to CFD-guided downscaling

### What have we learned?

Euler–Lagrange computational fluid dynamics simulations offer great potential for the integration of transport dynamics and metabolic dynamics in fermentation systems. Since the seminal work of Lapin et al. [1,2], progress has been made, mainly in the analysis of CFD data and ...

## Power input effects on degeneration in prolonged penicillin chemostat cultures

### A systems analysis at flux, residual glucose, metabolite, and transcript levels

In the present work, by performing chemostat experiments at 400 and 600 RPM, two typical power inputs representative of industrial penicillin fermentation (P/V, 1.00 kW/m^{3} in more remote zones and 3.83 kW/m^{3} in the vicinity of the impellers, respectively)
...

## Comparative performance of different scale-down simulators of substrate gradients in Penicillium chrysogenum cultures

### The need of a biological systems response analysis

In a 54 m^{3} large-scale penicillin fermentor, the cells experience substrate gradient cycles at the timescales of global mixing time about 20–40 s. Here, we used an intermittent feeding regime (IFR) and a two-compartment reactor (TCR) to mimic these substrate gradien
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## Through the Organism’s eyes

### The interaction between hydrodynamics and metabolic dynamics in industrial-scale fermentation processes

## Lagrangian modeling of hydrodynamic–kinetic interactions in (bio)chemical reactors

### Practical implementation and setup guidelines

Large substrate concentration gradients can exist in chemical or biochemical reactions, resulting from a large circulation time compared to the turnover time of substrates. The influence of such gradients on the microbial metabolism can significantly compromise optimal bioreac ...

## Euler-Lagrange computational fluid dynamics for (bio)reactor scale down

### An analysis of organism lifelines

The trajectories, referred to as lifelines, of individual microorganisms in an industrial scale fermentor under substrate limiting conditions were studied using an Euler-Lagrange computational fluid dynamics approach. The metabolic response to substrate concentration variation ...