TY  - JOUR
N1  - cited By 63
SP  - 708
TI  - Sequencing batch membrane photobioreactor for real secondary effluent polishing using native microalgae: Process performance and full-scale projection
AV  - none
EP  - 715
PB  - Elsevier Ltd
SN  - 09596526
N2  - Microalgae technology can play important roles in wastewater management, carbon dioxide fixation and as biofuels feedstock if managed properly. The core challenge is to substantially lower the cultivation and harvesting costs. This study assesses performances of batch wise photobioreactor (PBR) and sequencing batch membrane photobioreactor (SB-MPBR) for polishing real secondary effluent, and at the same time producing lipid by cultivating a native strain of Euglena sp. Lab-scale data were used to project large-scale performance of an SB-MPBR and its economic potential was compared with established conventional biological nutrients removal technologies. Results show that the SB-MPBR with 4 days retention was found to be optimum in terms of nutrients removal (â?¥95 and â?¥70 respectively for total nitrogen and total phosphorous), water treatment capacity and lipid yield (â?¥10). However, an energy audit on the process shows that the chemical energy from the produced lipid is still at least 111 fold short of meeting an energy neutral process. However, results of preliminary cost analysis indicate that SB-MPBR (0.113 /m3) is highly attractive technology for biological nutrients removal than the conventional technologies (0.65â??0.96 /m3). © 2017 Elsevier Ltd
ID  - scholars8096
KW  - Algae; Carbon; Carbon dioxide; Cost benefit analysis; Effluents; Microorganisms; Nitrogen removal; Photobioreactors; Polishing; Water treatment
KW  -  Biomass productivity; Carbon dioxide fixation; Economic potentials; Lipid extraction; Membrane photobioreactor; Micro-algae; Process performance; Wastewater management
KW  -  Nutrients
JF  - Journal of Cleaner Production
A1  - Sheng, A.L.K.
A1  - Bilad, M.R.
A1  - Osman, N.B.
A1  - Arahman, N.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030701081&doi=10.1016%2fj.jclepro.2017.09.083&partnerID=40&md5=4e6125ed1251bb13a10639e2d0ce42a7
VL  - 168
Y1  - 2017///
ER  -