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Development of smart algae pond system for microalgae biomass production
Author(s) -
Irman Hermadi,
Ilham Rahmad Setiadianto,
Dhirgama Fa’Iq Al Zahran,
Mesi Nofita Simbolon,
Ganjar Saefurahman,
Dhani S. Wibawa,
Yandra Arkeman
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/749/1/012068
Subject(s) - biomass (ecology) , environmental science , biofuel , renewable energy , turbidity , productivity , production (economics) , process engineering , photobioreactor , automation , pulp and paper industry , agricultural engineering , environmental engineering , waste management , engineering , ecology , biology , mechanical engineering , economics , macroeconomics
The production of microalgae biomass is very promising as an alternative sustainable food, feed, high value biochemical, and 3 rd generation biofuel. However, the use of microalgae biomass for the production of biofuel is still considered less feasible at this time. The main obstacle is the scale up of biomass production, high processing costs and low efficiency using the conventional biomass production system. Therefore, the use of advanced digital technology such as sensors, automation applications and the Internet of Things (IoT) was applied in this study. This research aimed to develop a Smart Algae Pond system equipped with three main functions of smart mixing, control of pH and CO 2 supply, and the automatic harvesting system. The results revealed that the use of advanced digital technology and IoT could improve the productivity as well as control the production of biomass effectively and efficiently. The tested optimum value of pH was achieved at 8.5-9.5 with the CO 2 concentration of 1 to 2% of the cultivation volume. Temperature was maintained from 25 to 35 °C, water velocity from 16 to 35 cm s −1 , and air velocity of 8.33 cm 3 s −1 . Using the smart mixing system, the use of electrical energy was decreased from 0.5 to below 0.2 Kw/h. This study showed that microalgae biomass production can be measured using a water turbidity sensor.

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