Real-time optimization of the key filtration parameters in an AnMBR: Urban wastewater mono-digestion vs. co-digestion with domestic food waste. (October 2018)

• Record Type: Journal Article
• Authors: Robles, A.; Capson-Tojo, G.; Ruano, M.V.; Seco, A.; Ferrer, J.
• Is Part Of: Waste management. Volume 80(2018)
• Page Start: 299
• Page End: 309
• Publication Date: 2018-10
• Subjects: Anaerobic membrane bioreactor (AnMBR) -- Process control -- Food waste -- Fouling -- Modelling -- Urban wastewater; Hazardous wastes -- Periodicals; Refuse and refuse disposal -- Periodicals; 363.728
• DOI: 10.1016/j.wasman.2018.09.031
• Languages: English
• ISSNs: 0956-053X

Abstract

Graphical abstract: Highlights: Average costs of €0.047 (UWW) and €0.067 per m 3 (UWW and FW) were obtained. Energy costs accounted for 59.6% and 69.0% of the total costs respectively. Average reversible fouling removal downtimes were 0.4% and 1.6% respectively. Control strategy efficiently minimized filtration costs for both substrates. Abstract: This study describes a model-based method for real-time optimization of the key filtration parameters in a submerged anaerobic membrane bioreactor (AnMBR) treating urban wastewater (UWW) and UWW mixed with domestic food waste (FW). The method consists of an initial screening to find out adequate filtration conditions and a real-time optimizer applied to a periodically calibrated filtration model for minimizing the operating costs. The initial screening consists of two statistical analyses: (1) Morris screening method to identify the key filtration parameters; (2) Monte Carlo method to establish suitable initial control inputs values. The operating filtration cost after implementing the control methodology was €0.047 per m 3 (59.6% corresponding to energy costs) when treating UWW and €0.067 per m 3 when adding FW due to higher fouling rates. However, FW increased the biogas productivities, reducing the total costs to €0.035 per m 3 . Average downtimes for reversible fouling removal of 0.4% and 1.6% were obtained, respectively. The results confirm the capability of the proposed control system for optimizing the AnMBR performance when treating both substrates.