by Blair Fannin (Texas A&M University/AgriLife Today) Jet fuel, animal feed among potential products from algae -- Texas A&M AgriLife Research scientists are using artificial intelligence to set a new world record for producing algae as a reliable, economic source for biofuel that can be used as an alternative fuel source for jet aircraft and other transportation needs.
Joshua Yuan, Ph.D., AgriLife Research scientist, professor and chair of Synthetic Biology and Renewable Products in the Texas A&M College of Agriculture and Life Sciences Department of Plant Pathology and Microbiology, is leading the research project.
The team’s findings were published in January in Nature Communications. Ongoing research is funded by the U.S. Department of Energy Fossil Energy Office. The work is also being funded by a gift from Dr. John ’90 and Sally ’92 Hood, who recently met with Yuan to discuss his biofuels research program. The gift is managed by the Texas A&M Foundation.
...
Solving the algae limitations as a biofuel
“The commercialization of algal biofuel has been hindered by the relatively low yield and high harvesting cost,” Yuan said. “The limited light penetration and poor cultivation dynamics both contributed to the low yield.”
Overcoming these challenges could enable viable algal biofuels to reduce carbon emissions, mitigate climate change, alleviate petroleum dependency and transform the bioeconomy, Yuan said.
Yuan has previously been successful at finding methods to convert corn stubble, grasses and mesquite into biodegradable, lightweight materials and bioplastics. His latest project utilizes a patented artificial intelligence advanced learning model to predict algae light penetration, growth and optimal density. The prediction model allows for continual harvest of synthetic algae using hydroponics to maintain the rapid growth at the optimal density to allow best light availability.
...
Algae as a renewable energy
Algae biofuel is regarded as one of the ultimate solutions for renewable energy, but its commercialization is hindered by growth limitations caused by mutual shading and high harvest costs.
“We overcome these challenges by advancing machine learning to inform the design of a semi-continuous algal cultivation (SAC) to sustain optimal cell growth and minimize mutual shading,” he said.
Yuan said he is using an aggregation-based sedimentation strategy designed to achieve low-cost biomass harvesting and economical SAC.
...
Making algae economical energy
Scaling-up the SAC with an outdoor pond system achieves a biomass yield of 43.3 grams per square meter per day, bringing the minimum biomass selling price down to approximately $281 per ton, according to the journal article. In comparison, the standard low-cost feedstock for biomass in ethanol is corn, which is currently approximately $6 per bushel or $260 per ton. However, Yuan’s process does not call for costly pre-treatment before fermentation. Corn must be ground and the mash must be cooked before fermentation.
...
Yuan said despite significant potential and extensive efforts, the commercialization of algal biofuel has been hindered by limited sunlight penetration, poor cultivation dynamics, relatively low yield, and the absence of cost-effective industrial harvest methods. READ MORE
Long B, Fischer B, Zeng Y, et al. Machine learning-informed and synthetic biology-enabled semi-continuous algal cultivation to unleash renewable fuel productivity. Nat Commun. 2022;13(1):541. doi:10.1038/s41467-021-27665-y
AI Helps in Growth of Algae for Producing Clean Biofuel (Krishi Jagran)
Think green: Artificial intelligence evaluates algae as energy source (Research @ Texas A&M)
AI-Directed Algae Blooms Boost Biofuel Prospects The slimy stuff is looking better for carbon capture, too (IEEE Spectrum)
Artificial intelligence predicts algae potential as alternative energy source: Jet fuel, animal feed among potential products from algae (Science Daily)
Artificial intelligence predicts sustainable biofuels from algal (Prensa Latina)
AI Helps Algae To Become a Commercially Viable Biofuel Option (Technology Networks)
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