The relatively high harvesting cost and low yield have hampered the commercialization of algae biofuel. Inadequate culture dynamics caused both the low yield and the limited light penetration. Overcoming these obstacles could allow viable algal biofuels to reduce carbon emissions, ameliorate climate change, reduce reliance on petroleum, and reshape the bioeconomy.
A team has proposed employing artificial intelligence as a solution. This will help create a new world record for growing algae as a reliable, cost-effective source of biofuel. The study is highly relevant for the Alternative Fuel And Hybrid Market as algae may be a possible alternative fuel source for jet planes and other modes of transportation.
Algae has excellent potential as a renewable energy source in various industries, including biodiesel and aviation fuel. It is an excellent alternate fuel source for the aviation industry as well. Moreover, the substance is an alternative feedstock for bioethanol refineries that do not require pretreatment. It is less expensive than coal or natural gas. It also allows for more efficient carbon capture and usage. Algae can also be used to make animal feed. AgriLife Research has previously examined algae as a source of protein for animals.
Previously, methods for converting maize stubble, grasses, and mesquite into biodegradable, lightweight materials and bioplastics were discovered. Using a patented artificial intelligence advanced learning model, the team's most recent effort predicts algae light penetration, development, and optimal density. The prediction model uses hydroponics to continuously harvest synthetic algae to sustain rapid expansion at the proper density for the best light availability.
The team have successfully reached 43.3 grammes per square metre per day of biomass productivity in an outdoor experiment. This could very perhaps be a world record. The most recent DOE target is 25 grammes per square metre per day.
According to the journal research, scaling up the SAC with an outdoor pond system results could lead to lowering the minimum biomass selling price to around $281 per tonne. In comparison, the usual low-cost biomass feedstock for ethanol is corn, which is currently at $6 per bushel or $260 per tonne. On the other hand, researchers' method does not necessitate any costly pretreatment prior to fermentation. Before fermentation, the corn must be processed, and the mash must be heated.
This technology has been shown to be cost-effective and to aid in the advancement of algae as a viable alternative energy source.