ABACO-2: a comprehensive model for microalgae-bacteria consortia validated outdoor at pilot-scale

被引:7
|
作者
Nordio, Rebecca [1 ,2 ]
Rodriguez-Miranda, Enrique [2 ,3 ]
Casagli, Francesca [4 ]
Sanchez-Zurano, Ana [1 ,2 ]
Guzman, Jose Luis [2 ,3 ]
Acien, Gabriel
机构
[1] Univ Almeria, Dept Chem Engn, E-04120 Almeria, Spain
[2] Joint Ctr Univ Almeria, CIESOL Solar Energy Res Ctr, CIEMAT, Almeria 04120, Spain
[3] Univ Almeria, Dept Informat, E-04120 Almeria, Spain
[4] Univ Cote Azur, Biocore, INRIA Ctr, F-06902 Sophia Antipolis, France
基金
欧盟地平线“2020”;
关键词
Microalgae; wastewater; modeling; WASTE-WATER-TREATMENT; GROWTH; LIGHT; PHOTOSYNTHESIS; CULTURE;
D O I
10.1016/j.watres.2023.120837
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Modelling microalgae-bacteria in wastewater treatment systems has gained significant attention in the last few years. In this study, we present an enhanced version of the ABACO model, named ABACO-2, which demonstrates improved accuracy through validation in outdoor pilot-scale systems. ABACO-2 enables the comprehensive characterization of microalgae-bacteria consortia dynamics, allowing to predict the biomass concentration (microalgae, heterotrophic bacteria, and nitrifying bacteria) and nutrient evolution. The updated version of the model incorporates new equations for nutrient coefficient yields, oxygen mass balance, and microorganism cellular decay, while significantly reducing the number of calibrated parameters, simplifying the parameter identification. Calibration and validation were performed using data from a 80 m2 raceway reactor operated in a semicontinuous mode over an extensive period (May to November, total of 206 days) at a fixed dilution rate of 0.2 day-1 (corresponding to 5 days of hydraulic retention time), where untreated urban wastewater was used as culture medium. ABACO-2 exhibited robustness, accurately forecasting biomass production, population dynamics, nutrient recovery, and prevailing culture conditions across a wide range of environmental and water composition conditions. Mathematical models are essential instruments for the industrial development and optimization of microalgae-related wastewater treatment processes, thereby contributing to the sustainability of the wastewater treatment industry.
引用
收藏
页数:15
相关论文
共 36 条
  • [31] Evaluation of model-based control strategy based on generated setpoint schedules for NH4-N removal in a pilot-scale A2/O process
    Kim, H. S.
    Kim, Y. J.
    Cheon, S. P.
    Baek, G. D.
    Kim, S. S.
    Kim, C. W.
    CHEMICAL ENGINEERING JOURNAL, 2012, 203 : 387 - 397
  • [32] A pseudo-3D model with 3D accuracy and 2D cost for the CFD-PBM simulation of a pilot-scale rotating disc contactor
    Chen, Hang
    Sun, Ze
    Song, Xingfu
    Yu, Jianguo
    CHEMICAL ENGINEERING SCIENCE, 2016, 139 : 27 - 40
  • [33] Quantification of CO2 and N2O Emissions from a Pilot-Scale Aerobic Digester, Towards the Validation and Calibration of the First Activated Sludge Model for Aerobic Digestion (AeDM1)
    Caivano, M.
    Masi, S.
    Mazzone, G.
    Mancini, I. M.
    Caniani, D.
    FRONTIERS IN WASTEWATER TREATMENT AND MODELLING, FICWTM 2017, 2017, 4 : 457 - 463
  • [34] Pilot-scale regeneration of wastewater through intensified sulfate radical-based advanced oxidation processes (PMS/UV-A, PMS/H2O2/UV-A, and PMS/O3): Inactivation of bacteria and mechanistic considerations
    Guerra-Rodriguez, S.
    Rodriguez, E.
    Rodriguez-Chueca, J.
    CHEMICAL ENGINEERING JOURNAL, 2023, 469
  • [35] PILOT-SCALE VALIDATION OF THE RIVER-FISH BIOACCUMULATION MODELING PROGRAM FOR NONPOLAR HYDROPHOBIC ORGANIC-COMPOUNDS USING THE MODEL COMPOUNDS 2,3,7,8-TCDD AND 2,3,7,8-TCDF
    ABBOTT, JD
    HINTON, SW
    BORTON, DL
    ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY, 1995, 14 (11) : 1999 - 2012
  • [36] A generalized model of SO2 emissions from large- and small-scale CFB boilers by artificial neural network approach Part 2. SO2 emissions from large- and pilot-scale CFB boilers in O2/N2, O2/CO2 and O2/RFG combustion atmospheres
    Krzywanski, J.
    Czakiert, T.
    Blaszczuk, A.
    Rajczyk, R.
    Muskala, W.
    Nowak, W.
    FUEL PROCESSING TECHNOLOGY, 2015, 139 : 73 - 85