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Digital Twins for Energy Efficiency
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Digital Twins for Energy Efficiency

Unlocking Net Zero and ESG Targets with AI

Introduction to Optimize AI

  • Nick Tume, CEO and co-founder of Optimize AI, introduces the company as a spin-out from Cardiff University focused on achieving net zero and ESG targets using artificial intelligence (AI) and digital twins.

The Challenge of Energy Performance in Buildings

  • There is a significant issue with buildings in the UK that have an Energy Performance Certificate (EPC) rating lower than B, with a target for all buildings to reach EPC B by 2030.
  • A lack of comprehensive data about building performance leads to reliance on consultants for energy efficiency improvements, which is not scalable given the number of buildings needing upgrades.

Current State of Building Energy Efficiency

  • An EPC map illustrates that many high-value properties in London still fall within the lowest energy performance categories (E-G), highlighting the urgent need for improvement.
  • The current process for conducting energy audits is time-consuming; however, there is potential for significant efficiency gains through technology.

Leveraging AI and Digital Twins

  • By integrating smart meter data directly into their systems, Optimize AI has reduced energy audit times from hours to just 10 minutes.
  • Their tool provides real-time insights into energy usage, costs, carbon emissions, and allows users to compare their building's performance against UK averages.

Implementation Strategies

  • The platform can identify specific areas where carbon emissions are generated and suggest tailored energy-saving measures along with cost-benefit analyses.
  • Users can track implemented measures over time to validate savings in both energy consumption and financial costs.

Advanced Data Integration Techniques

  • The system combines actual data from smart meters with simulated models based on machine learning trained across millions of buildings to optimize performance predictions.
  • Granular analysis down to individual rooms or zones within a building allows for precise tracking of energy use patterns and discrepancies between predicted versus actual performance.

Broader Applications Beyond Buildings

  • Optimize AI extends its solutions beyond train stations into various sectors including airports, offices, education institutions, water management for businesses, housing issues related to air quality, dampness, and mold.
  • The company is currently seeking funding to expand its initiatives further into these diverse areas.
Video description

OptimiseAi was established to be the digital platform for a modern efficient infrastructure, regardless of a building's age. Our current products reduce buildings energy costs and carbon emissions by up to 40%. They use a propriety AI platform that interprets any data, meaning we can integrate any and all data, simply. We then use a specific LLM built on over a decade of building data and research. This allows us to identify how your building should be performing and provide a roadmap to improve efficiency. We currently have two products: Predict is rapid digital twin that can be up and running within minutes using only your smart meter. This helps 90% of buildings to reduce their energy and emissions without the need for further data. Optimise is an award-winning energy management system. It fuses all of a building’s data sets, such IoT sensors, traffic data and smart meter, with our own technology. This creates a full digital twin built with over a decade of data and AI technology for day one impact. Find out more at www.Optimise-AI.com