Bio Capital, a leading UK producer of green energy from food waste, has announced a collaboration with advanced artificial intelligence (AI) company Entopy to implement AI data analytics across its operations, reports Bioenergy Insight.
By utilizing sophisticated predictive models, AI technology will enable Bio Capital to monitor its processes in real-time and make data-driven decisions. This is expected to significantly increase the yields of biogas, which is then converted into renewable electricity and gas (biomethane). Bio Capital states that this marks a first for the UK’s anaerobic digestion (AD) sector.
Over the past several years, Bio Capital has strategically invested in building a robust digital infrastructure. This allows the company to accurately capture and consolidate extensive operational data from its network of AD sites throughout the UK. This data consolidation has been crucial in identifying and understanding the key factors that influence performance across its portfolio.
Now, through its partnership with Entopy, Bio Capital is leveraging this wealth of data with real-time, AI-powered analytics. This enables the development of predictive models capable of generating highly accurate future projections for biogas production.
Entopy, Bio Capital’s AI partner, has a proven track record in applying advanced AI analytics and predictive models to optimize large-scale infrastructure and logistics businesses. Notably, the company achieved a 95% accuracy rate in forecasting traffic arrivals for the Port of Dover.
Karan Tyagi, Head of Business Intelligence at Bio Capital, commented: “The collaboration with Entopy is already showing impressive results in its development and testing phase. In just five weeks since the development stage, the AI models have achieved an 85% accuracy in predicting biogas yields using 2024 data, with a clear trajectory to reach 95% accuracy in the near future. This performance highlights the transformative potential of data-driven insights in optimising feedstock management.”
The project also includes a trial of a user-friendly interface powered by a large language model (LLM), similar to popular AI assistants like ChatGPT. This intuitive interface will allow teams to easily query data and receive immediate insights, making the advanced technology accessible to users without specialized AI expertise.
Toby Mills, CEO of Entopy, said: “This is the first time we are partnering with an energy business of this scale and scope to provide real-time data insights, and we are delighted with the way predictive modelling is performing so far. Our partnership demonstrates first-hand how AI technologies can enable us to harness the full potential of renewable energy, reduce waste, and minimise environmental impact.”
