FN Archimer Export Format
PT J
TI Quantifying the potential of microalgae to remove nutrients from wastewater
BT 
AF MARTINEZ, Carlos
   MAIRET, Francis
   PLAZA, Luis
   SCIANDRA, Antoine
   BERNARD, Olivier
AS 1:1,2;2:3;3:4;4:2;5:1,2,5,6,7;
FF 1:;2:PDG-RBE-BRM-LPBA;3:;4:;5:;
C1 UPMC Univ Paris 06, Univ Cote Azur, INRIA, INRA,CNRS,BIOCORE Team, Paris, France.
   UPMC Sorbonne, LOV, CNRS, UMR 7093,Stn Zool, BP 28, F-06234 Villefranche Sur Mer, France.
   IFREMER, Physiol & Biotechnol Algae Lab, Nantes, France.
   Univ Tecn Federico Santa Maria, Dept Ingn Quim & Ambiental, POB 110-5, Valparaiso, Chile.
   NTNU, Dept Energy & Proc Engn, Trondheim, Norway.
   NTNU, ENERSENSE, Trondheim, Norway.
   INRIA Sophia Antipolis, 2004 Route Lucioles,BP 93, F-06902 Sophia Antipolis, France.
C2 UNIV PARIS 06, FRANCE
   UNIV PARIS 06, FRANCE
   IFREMER, FRANCE
   UNIV VALPARAISO, CHILE
   UNIV SCI & TECHNOL NORWEGIAN, NORWAY
   UNIV SCI & TECHNOL NORWEGIAN, NORWAY
   INRIA, FRANCE
SI NANTES
SE PDG-RBE-BRM-LPBA
IN WOS Ifremer UPR
   copubli-france
   copubli-europe
   copubli-univ-france
   copubli-int-hors-europe
TC 0
UR https://archimer.ifremer.fr/doc/00600/71188/69541.pdf
LA English
DT Article
DE ;Control;Biotechnology;Wastewater treatment;Microalgae;Cell quota model
AB The main resources limiting microalgae growth are typically phosphorus, nitrogen, and light. Based on the theory of the light limited chemostat, the variable cell quota approach, and photoacclimation models, we build a mathematical model for describing microalgae growth under limitation by these resources. The model is calibrated with a data set from the literature. Then, by numerical simulations, we find that under constant operation of the culture and constant environmental conditions (illumination, temperature, pH, etc.), solutions of the model approach towards either a positive or an extinction steady state. Based on the positive steady state, and in the context of wastewater treatment, we evaluate the capacity of microalgae to remove contaminants. We showed that the impacts of depth, incident light intensity, and dilution rate (or hydraulic retention time) have a crucial role on the optimization of the nutrient removal efficiency. 
PY 2019
SO Ifac Papersonline
SN 2405-8963
PU Elsevier
VL 52
IS 26
UT 000504413000047
BP 287
EP 292
DI 10.1016/j.ifacol.2019.12.272
ID 71188
ER

EF