Algae biofuel is regarded as the ultimate renewable energy alternative. However, its commercialization is hampered by mutual shading-induced growth restrictions and high collection costs. Now, a team has overcome these obstacles by using machine learning. The technology helps guide the design of SAC (Semi-Continuous Algal Cultivation), allowing for maximum cell growth while minimizing mutual shadowing. The process will greatly benefit the Algae Biofuel Market as it is likely to increase algae-made biofuel production.
The team used an aggregation-based sedimentation technique to achieve low-cost biomass harvesting and cost-effective SAC. Engineering Synechococcus elongatus UTEX2973 does the aggregation-based sedimentation. It is a fast-growing blue-green algae strain used to produce limonene. This would improve cyanobacterial cell surface hydrophobicity and allow effective aggregation and sedimentation.
Researchers have previously succeeded in developing biodegradable, lightweight materials and bioplastics from maize stubble, grasses, and mesquite. Their most recent effort predicts algae light penetration, development, and optimal density. This was achieved through a patented artificial intelligence advanced learning model. The prediction model enables continuous harvesting of synthetic algae grown in hydroponics. It sustains rapid development at the ideal density for maximum light availability.
For the present study, the team conducted an outdoor experiment. They were able to attain biomass productivity of 43.3 grams per square meter per day, which could be a world record. The Department of Energy's most recent target range is 25 grams per square meter each day.
The commercialization of algal biofuel has been delayed by its low yield and expensive harvesting costs. The low yield was caused by the lack of light penetration and poor cultural dynamics. Effective algal biofuels may be able to reduce petroleum dependency, mitigate climate change, restructure the bioeconomy , and reduce carbon emissions by solving these challenges.
Researchers used artificial intelligence to set a new world record for cultivating algae as a stable, cost-effective source of biofuel. It could be used to power jet planes and other types of transportation.
This technology has shown to be cost-effective and has aided in the advancement of algae as a viable alternative energy source.
Algae may be used in numerous industries as an alternative energy source, including biodiesel and jet fuel. For this business, algae is a viable alternative fuel source. It is a pretreatment-free alternative feedstock for bioethanol refineries. It is less expensive than coal and natural gas. Lastly, it also allows for more efficient capture and usage of carbon.