Low-energy nitrogen removal under
mainstream conditions is a technology
that has received significant attention in recent years as the water
industry drives toward long-term sustainability goals. Simultaneous
partial nitritation-Anammox (PN/A) is one process that can provide
substantial energy reduction and lower sludge yields. Mathematical
modeling of the PN/A process offers engineers insights into the operating
conditions necessary to maximize its potential. Laureni et
al. (
Laureni
Laureni
Water Res.201914) have recently published
a simplified mechanistic model of the process operated as a sequencing
batch reactor that investigated the effect of three key operating
parameters on performance (Anammox biofilm activity, dissolved oxygen
concentration and fraction of solids wasted). The analysis of the
model was limited, however, to simulation with relatively few discrete
parameter sets. Here, we demonstrate through the use of bifurcation
theory applied to an impulsive dynamical system that the parameter
space can be partitioned into regions in which the system converges
to different fixed points that represent different outcomes: either
the washout of nitrite-oxidizing bacteria or their survival. Mapping
process performance data onto these spaces allows engineers to target
suitable operating regimes for specific objectives. Here, for example,
we note that the nitrogen removal efficiency is maximized close to
the curve that separates the regions in parameter space where nitrite-oxidizing
bacteria washout from the region in which they survive. Further, control
of solids washout and Anammox biofilm activity can also reduce oxygen
requirements while maintaining an appropriate hydraulic retention
time. The approach taken is significant given the possibility for
using such a methodology for models of increasing complexity. This
will enable engineers to probe the entire parameter space of systems
of higher dimension and realism in a consistent manner.