Helping businesses build a sustainable and resilient future
AI will play a positive and substantial role.
Organizations recognize the need for sustainable and resilient business practices in a post-pandemic world, just as governments are also tying recovery investments to the green transition.
Element AI is using AI to help tackle the climate crisis and transform the environmental impact of business. Our products and services enable customers to run energy-efficient manufacturing processes, provide reliable renewable energy systems and ensure sustainable, low-carbon business operations.
Our first area of focus: Reducing the carbon footprint of manufacturing
According to the IPCC, industry alone accounts for about 25% of total process and energy-related CO2 emissions. These organizations are now under pressure to meet net zero emissions by 2050, while simultaneously tripling output to meet increased demand and reducing resources by 50%.
Efficient manufacturing is key to meeting these three coinciding objectives. Machine learning can optimize manufacturing processes and asset use to achieve significant energy, cost and emissions reductions.
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Element AI can help identify, quantify and deliver reductions in emissions in manufacturing.
We create AI solutions to help:
- Predict fluctuations in industrial processes
Our time series forecasting can provide greater understanding and anticipation of the conditions that drive low- and high-performance periods.
- Uncover improvement opportunities throughout manufacturing lines
Our anomaly detection models and Knowledge Scout solution can help you identify underlying causes of overall performance reductions in a process.
- Minimize constraints on performance
Best-in-class insights from our forecasting model help estimate the upper bounds of performance, helping you prioritize improvements and investment for maximum efficiency.
- Predict fluctuations in industrial processes
Use Cases
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Reducing energy consumption and emissions
Variance-analysis techniques have the potential to reduce fuel consumption and fuel-derived CO2 emissions of process industries. By comparing high- and low-performance days, our solutions can help determine drivers of variation and identify operational changes or low-capital investments to stabilise and maintain improved performance.
The in-depth analysis normally required for this approach can be slow and costly to implement. AI technology presents an exciting opportunity to scale up the approach to multiple energy-intensive industries. It can also dramatically decrease the time and resources required, making continuous improvement towards sustainability goals both viable and valuable for process industries.
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Identifying and eliminating waste
In many manufacturing industries, the carbon contained in the materials they consume makes up a large part of their overall footprint. Research into metal and plastic production has shown that a holistic approach to waste can uncover sources of waste streams far larger than expected.
AI techniques can be powerful tools in managing process waste.
- Natural-language processing of company documents significantly reduces the time and effort required to gather the information required to perform material flow analysis.
- Anomaly detection models can quickly identify and quantify defects that lead to wasted products and rework.
- Automated fault reports and processing help prioritise problem solving and other improvement efforts.
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Reducing electricity cost and carbon intensity
The increased use of renewable energy generation means that there is greater variation in energy costs and carbon intensity over the course of a given day. Adapting production in electricity-intensive processes to these fluctuations in electricity generation can create both carbon and cost savings. This change can also improve the viability of renewable generation, a key pillar of most decarbonisation strategies.
AI forecasting allows industries to tailor their demand most efficiently to supply on micro, meso and macro scales. Combining these techniques with established demand-side-management approaches can deliver significant reductions in electricity costs and electricity-derived carbon emissions.
Enabling informed decision-making around climate impacts with Earth observation data
For any industry, tracking and understanding the causes and effects of climate change is key to creating effective solutions that move us towards a sustainable, low-carbon economy.
Element AI’s remote sensing and Earth observation data solutions apply object detection, change detection and counting techniques to visual, radar and hyperspectral data. These remote sensing capabilities can be applied to monitor wildlife for conservation and environmental purposes; for traffic management and urban planning; and for monitoring land use such as agriculture and forestry.
Not only does this visibility enable the green transition, but it can also help businesses and governments better prepare for the shocks stemming from climate risk.
How AI can help manufacturers achieve sustainability goals
Discover how Artificial Intelligence can optimize manufacturing processes and asset use to achieve significant energy, cost, and emissions reductions.
This ebook explores cutting-edge Operational Improvement (OI) techniques and Element AI’s state-of-the-art Machine Learning capabilities that can help manufacturers achieve their sustainability goals.
Get our free ebookThe Element AI Difference
Organizations like you are working to build a more sustainable and resilient future.
We are here to make sure you are able to put the leading AI technology to use.
Responsible AI is a part of our mission.
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ExpertiseOur AI for Climate program is a cross-company initiative that supports private and public sector efforts, from discovery and strategy to research and custom solutions, that tackle the climate crisis and help build a sustainable and resilient future.
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PartnershipsOur partnership network allows us to combine together our technology expertise with domain experts, data providers and other like-minded organizations from around the world.
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ResearchOur fundamental research teams push the boundaries of knowledge. The DNA of our organization is applying the latest research to global challenges, from the Covid-19 pandemic, to climate change and the environment, to human rights.
