Addition of polyaluminiumchloride (PACl) to waste activated sludge to mitigate the negative effects of its sticky phase in dewatering-drying operations.

This paper presents a new application of polyaluminiumchloride (PACl) as a conditioner for waste activated sludge prior its dewatering and drying. It is demonstrated at lab scale with a shear test-based protocol that a dose ranging from 50 to 150 g PACl/kg MLSS (mixed liquor suspended solids) mitigates the stickiness of partially dried sludge with a dry solids content between 25 and 60 %DS (dry solids). E.

Assessment of activated sludge stability in lab-scale experiments.

The majority of activated sludge research is conducted in a laboratory environment with, most often, the start-up sludge being taken from a large-scale wastewater treatment plant. Inoculating this sludge in a lab-scale set-up induces a transient period, which, evidently, has a direct impact on the experimental results during this period of acclimatization. In the currently published literature, the acclimatization period is either neglected or fixed to two or three times the sludge age, without any guarantee that stable conditions are indeed reached.

Efficient tracking of the dominant eigenspace of a normalized kernel matrix.

Various machine learning problems rely on kernel-based methods. The power of these methods resides in the ability to solve highly nonlinear problems by reformulating them in a linear context. The dominant eigenspace of a (normalized) kernel matrix is often required.

Optimal fed batch experiment design for estimation of monod kinetics of Azospirillum brasilense: from theory to practice.

In this paper the problem of reliable and accurate parameter estimation for unstructured models is considered. It is illustrated how a theoretically optimal design can be successfully translated into a practically feasible, robust, and informative experiment. The well-known parameter estimation problem of Monod kinetic parameters is used as a vehicle to illustrate our approach.

Linearization of the activated sludge model ASM1 for fast and reliable predictions.

In this paper a strategy is proposed to reduce the complexity of the activated sludge model no. 1 (ASM1) which describes the biotransformation processes in a common activated sludge process with N-removal. The key feature of the obtained reduced model is that it combines high predictive value (all state variables keep their biological interpretation) with very low computation time.

Feedback stabilization of fed-batch bioreactors: non-monotonic growth kinetics.

This paper deals with the design of a feedback controller for fed-batch microbial conversion processes that forces the substrate concentration C(S) to a desired setpoint, starting from an arbitrary (initial) substrate concentration when non-monotonic growth kinetics apply. This problem is representative for a lot of industrial fermentation processes, with the baker's yeast fermentation as a well-known example. It is assumed that the specific growth rate mu is function of the substrate concentration only.