State estimation for large-scale wastewater treatment plants

• Published in: Water research (Oxford) Vol. 47; no. 13; pp. 4774 - 4787
• Main Authors: Busch, Jan, Elixmann, David, Kühl, Peter, Gerkens, Carine, Schlöder, Johannes P., Bock, Hans G., Marquardt, Wolfgang
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.09.2013; Elsevier
• Subjects: Algorithms; Ammonia; Ammonia - analysis; analysis; Applied sciences; ASM; BSM1; Computer Simulation; Costs and Cost Analysis; economics; EKF; Equipment Design; Exact sciences and technology; instrumentation; Moving horizon estimation; Pollution; process monitoring; State estimation; Time Factors; uncertainty; Waste Water; Wastewater; Wastewater treatment; Water Purification; Water Purification - economics; Water Purification - instrumentation; Water treatment and pollution; EKF; BSM1; ASM; State estimation; Wastewater treatment; Moving horizon estimation; Water treatment; Uncertainty; Process control; Modeling; Optimization; Sewage treatment plant; Surveillance; Measuring network; Waste water purification; Reliability

Many relevant process states in wastewater treatment are not measurable, or their measurements are subject to considerable uncertainty. This poses a serious problem for process monitoring and control. Model-based state estimation can provide estimates of the unknown states and increase the reliabili...