RT info:eu-repo/semantics/article
T1 Moving horizon estimation in microalgae-bacteria based wastewater treatment using online and analytical multi-rate measurements
A1 Bausa Ortiz, Irina
A1 Oliveira Silva, Erika
A1 Muñoz Torre, Raúl
A1 P. Cristea, Smaranda
A1 Prada Moraga, César de
K1 Microalgae
K1 Moving horizon estimation
K1 Photobioreactor
K1 Software sensors
K1 State estimation
K1 Wastewater treatment
K1 3308.10 Tecnología de Aguas Residuales
AB Population growth and industrialization have resulted into a substantial increase in wastewater production,thereby establishing water purification as a primary concern on a global scale. In this context, microalgae-bacteria based wastewater treatment has emerged as a solution for wastewater treatment and nutrient recov-ery at a low-energy demand. Nevertheless, operation of this type of wastewater treatment plants is more complexand requires of advanced control systems, capable of maintaining its key variables within appropriate ranges inspite of the periodic variations in environmental variables and wastewater composition. Very often, the imple-mentation of state feedback control laws and model-based control techniques in these processes necessitates fullinformation of the states and other variables of the system in real-time. However, in practical scenarios, only asubset of the variables of microalgae-bacteria processes can be measured online due to the need for more reliablemeasuring devices or the high costs of online sensors. In addition, these biological processes are subjected tofrequent variations, so that the parameters of the models representing them requires continuous adaptation. Thispaper presents the application of a moving horizon estimation technique to a wastewater treatment process withmicroalgae and bacteria. The objective of this study is to estimate those variables or parameters that cannot bemeasured reliably online. This process was nonlinear and subject to uncertainties in the states and parameters.The estimation was coded using MATLAB® software, and simulation results demonstrated the effectiveness ofestimation in this biological process, characterized by the availability of multi-rate measurements
PB Elsevier
SN 2211-9264
YR 2025
FD 2025
LK https://uvadoc.uva.es/handle/10324/79843
UL https://uvadoc.uva.es/handle/10324/79843
LA eng
NO Algal Research, 2025, vol. 91, p. 104338
NO Producción Científica
DS UVaDOC
RD 19-nov-2025