{
  "version": 3,
  "sources": ["ssg:https://framerusercontent.com/modules/2tQvOnnlGYRwxWX1e5c9/fLmYnvukzPkq08gcDd0F/MhIqqTGnY-2.js"],
  "sourcesContent": ["import{jsx as e,jsxs as i}from\"react/jsx-runtime\";import{ComponentPresetsConsumer as t,Link as n}from\"framer\";import{motion as a}from\"framer-motion\";import*as r from\"react\";import{Youtube as s}from\"https://framerusercontent.com/modules/NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js\";export const richText=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"Introduction\"})}),/*#__PURE__*/e(\"p\",{children:\"ScotRail has set an ambitious goal of achieving net-zero emissions by 2045. Significant progress has been made by running much of its electric train fleet on renewable energy. However, reducing the energy usage of stations and depots across Scotland remains a challenge. These buildings are often unique, historic, and have high energy demands, being open to the public for large parts of the day. Managing energy consumption across a diverse range of stations and depots, from Aberdeen to Clydebank, is a complex task.\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"The Challenge\"})}),/*#__PURE__*/e(\"p\",{children:\"ScotRail needed to effectively understand, manage and reduce energy consumption across its extensive network of stations and depots. Traditional methods provided limited data and insights, making it difficult to implement targeted and efficient energy-saving strategies.\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"The Solution\"})}),/*#__PURE__*/e(\"p\",{children:\"By partnering with Optimise-AI, ScotRail embarked on a transformative journey. With just a few inputs in Predict, ScotRail could immediately understand their actual energy performance across 25 stations and benchmark against comparable buildings. \"}),/*#__PURE__*/e(\"p\",{children:\"This was made possible by a decade of research data from other buildings, combined with advanced technology, to create digital twins across their estate. These digital twins provide real-time tracking and optimisation features, allowing ScotRail to monitor energy consumption at every level\u2014from entire buildings to individual rooms and systems.\"}),/*#__PURE__*/e(\"p\",{children:\"Based on initial intelligence from across 25 stations, ScotRail were then able to focus on 8 stations using Optimise. This allowed further granularity in understanding energy usage across stations, zones, platforms and rooms.\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"Implementation\"})}),/*#__PURE__*/e(\"p\",{children:\"The intuitive dashboard allowed ScotRail to use the platform with little guidance. Immediately ScotRail were able to benefit from immediate recommendations and adjustments, focusing decarbonisation efforts where they\u2019re needed most. \"}),/*#__PURE__*/e(\"p\",{children:\"The system's real-time tracking capabilities enable ScotRail to test decarbonization strategies within the digital twin, demonstrate ROI, and continuously track and optimise savings.\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"Results\"})}),/*#__PURE__*/e(\"p\",{children:\"The potential savings are substantial, with reductions projected of up to 40% in the short to medium term. Poul Wend Hanson, ScotRail\u2019s Head of Sustainability, shared his enthusiasm for the project, stating:\"}),/*#__PURE__*/e(\"blockquote\",{children:/*#__PURE__*/e(\"p\",{children:'\"The capabilities Optimise-AI provides in measuring and improving energy usage and carbon reduction position ScotRail solidly on the path to net zero.\"'})}),/*#__PURE__*/e(\"p\",{children:\"As Optimise-AI\u2019s system gathers more data and refines its models, it is anticipated that ScotRail will achieve even greater insights, resulting in further reductions in both carbon emissions and costs.\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"Conclusion\"})}),/*#__PURE__*/e(\"p\",{children:\"This partnership represents a significant opportunity not only for ScotRail but for the entire rail industry, showcasing the financial and environmental advantages of AI-driven solutions. By embracing cutting-edge technology, ScotRail is setting a precedent for sustainable practices and leading the way toward a greener future.\"})]});export const richText1=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"h1\",{children:\"ScotRail's Journey to Net-Zero \"})});export const richText2=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"Background\"})}),/*#__PURE__*/e(\"p\",{children:\"The University of Wales Trinity St David (UWTSD) has made impressive strides in reducing its operational carbon emissions, energy consumption, and associated costs across its estate. This achievement is largely thanks to the innovative use of Optimise AI\u2019s semantic digital twin technology, which helps the university understand how and when its buildings use energy.\"}),/*#__PURE__*/e(\"p\",{children:\"UWTSD\u2019s estate is a mix of modern, state-of-the-art facilities and charming pre-1900s structures. Managing energy consumption across such a diverse range of buildings is no small feat, especially without comprehensive performance data. This lack of clarity made effective energy analysis and optimization quite challenging.\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"The Challenge\"})}),/*#__PURE__*/e(\"p\",{children:\"UWTSD\u2019s primary challenge in its journey towards decarbonisation was the absence of real-time performance data across its buildings. Without accurate insights into energy consumption patterns, it was nearly impossible to identify inefficiencies and implement effective reduction strategies.\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"The Solution\"})}),/*#__PURE__*/e(\"p\",{children:\"To tackle this data gap, UWTSD turned to OptimiseAI\u2019s semantic digital twin technology. By collecting data from smart meters, sensors, and other building management systems (BMS), the AI-powered platform fills in missing data gaps using advanced machine learning algorithms. It then analyzes this information to generate actionable insights and optimization scenarios, which can be implemented manually by the facilities management team or automatically via the BMS.\"}),/*#__PURE__*/e(\"p\",{children:\"UWTSD adopted two of OptimiseAI\u2019s products:\"}),/*#__PURE__*/i(\"ul\",{style:{\"--framer-font-size\":\"14px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"rgb(36, 36, 36)\",\"--framer-text-stroke-width\":\"0px\",\"--framer-text-transform\":\"none\"},children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Predict\"}),\": This tool analyzes energy consumption at an estate-wide level, particularly in older, data-poor buildings that lack detailed sensor coverage.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Optimise\"}),\": This tool is applied to newer, data-rich buildings, providing granular real-time insights and AI-driven recommendations for efficiency improvements.\"]})})]}),/*#__PURE__*/e(\"p\",{children:\"With these tools, the university can now monitor building performance in near real-time and implement targeted energy-saving measures. Asset managers can track improvements and measure benefits live, ensuring an adaptive and responsive approach to decarbonisation.\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"Results and Impact\"})}),/*#__PURE__*/e(\"p\",{children:\"Since implementing these solutions, UWTSD has gained visibility into its energy usage and efficiency. The university is on track to achieve:\"}),/*#__PURE__*/i(\"ul\",{style:{\"--framer-font-size\":\"14px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"rgb(36, 36, 36)\",\"--framer-text-stroke-width\":\"0px\",\"--framer-text-transform\":\"none\"},children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"20% energy savings\"}),\" in older, data-poor buildings using Predict.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"30% energy savings\"}),\" in newer, data-rich buildings using Optimise.\"]})})]}),/*#__PURE__*/e(\"p\",{children:\"Looking ahead, the university plans to enable OptimiseAI\u2019s algorithms to autonomously control the BMS, ensuring optimal occupant comfort while minimizing energy waste and carbon output.\"}),/*#__PURE__*/e(\"blockquote\",{children:/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:'\"I am blown away by the insights a semantic digital twin can provide with limited data. This is supporting us to plan our decarbonisation programme, but most importantly engage with our students and staff to implement improvements and track benefits.\" '})})}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"Kelly Williams, Executive Head of Operational Estates and Facilities at UWTSD,\"})}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"Conclusion\"})}),/*#__PURE__*/e(\"p\",{children:\"UWTSD\u2019s partnership with OptimiseAI is a positive example of how AI and digital twins can drive meaningful sustainability and operational efficiency improvements. By harnessing the power of digital twins, the university is paving the way for a more data-driven and sustainable future, ensuring it meets its net-zero ambitions while optimizing operational performance.\"})]});export const richText3=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"h1\",{children:'\"I am blown away by the insights a semantic digital twin can provide with limited data.\"'})});export const richText4=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(n,{href:\"https://www.uwtsd.ac.uk/about\",motionChild:!0,nodeId:\"MhIqqTGnY\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"https://www.uwtsd.ac.uk/about\"})})})});export const richText5=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"Bristol Temple Meads, a Grade 1 listed railway station designed by the British engineer Isambard Kingdom Brunel, was built in 1840. The design was inspired by medieval castles, making the heating and lighting a costly, inefficient process.\"}),/*#__PURE__*/e(\"p\",{children:\"The Challenge: As one of the UK\u2019s oldest railway stations, Bristol Temple Meads was not designed with energy efficiency in mind. Heating and lighting were maintained around the clock, regardless of passenger footfall or external weather conditions. This approach led to high operational costs, significant carbon emissions, and a lack of actionable data for informed energy management.\"}),/*#__PURE__*/e(\"p\",{children:\"The challenge was clear: how could we enhance energy efficiency without compromising the station\u2019s historic character and passenger safety?\"}),/*#__PURE__*/e(\"p\",{children:\"The Solution: AI-Powered Energy Optimisation.\"}),/*#__PURE__*/e(\"p\",{children:\"Optimise AI\u2019s innovative solution combined advanced AI technology with real-time data collection to transform energy management at the station. The process involved:\"}),/*#__PURE__*/e(\"p\",{children:\"1. Creating a Digital Twin: We developed a virtual model of the station, enabling us to simulate and analyse energy flows, heat loss patterns, and occupancy trends.\"}),/*#__PURE__*/e(\"p\",{children:\"2. Deploying Smart Sensors: Sensors were installed to track temperature, humidity, CO2 levels, and passenger movement throughout the day.\"}),/*#__PURE__*/e(\"p\",{children:\"3. AI-Driven Insights: Our platform analysed this data to make smart, automated adjustments to heating, lighting, and ventilation.\"}),/*#__PURE__*/e(\"p\",{children:\"4. Retrofit Implementations: Simple retrofits like improved insulation, heat pumps, and LED lighting enhanced energy efficiency while respecting the building's historical integrity.\"}),/*#__PURE__*/e(\"p\",{children:\"The Results: 30% Reduction in Energy Consumption\"}),/*#__PURE__*/e(\"p\",{children:\"The success at Bristol Temple Meads illustrates how historic buildings can contribute to a low-carbon future. Our technology is poised to deliver similar results across other stations and infrastructure sites within the rail sector.\"})]});export const richText6=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"h1\",{children:\"Deploying Digital Twins in a Historic Transport Hub \"})});export const richText7=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"Just like many commercial building owners, Till Asset Management was struggling to get a clear picture of their energy usage and carbon emissions at Exchange Quay. The limited access to meter data and the complexity of information from their Building Management Systems (BMS) made it a real challenge.\"}),/*#__PURE__*/e(\"p\",{children:\"Just like many commercial building owners, Till Asset Management was struggling to get a clear picture of their energy usage and carbon emissions at Exchange Quay. The limited access to meter data and the complexity of information from their Building Management Systems (BMS) made it a real challenge.\"}),/*#__PURE__*/e(\"p\",{children:\"By working with Optimise AI, they were able to simply connect their smart meters and BMS systems to the Predict platform. The team started to have clear insights into building performance from day one.\"}),/*#__PURE__*/e(\"p\",{children:\"Optimise AI uses advanced Machine Learning and AI algorithms to analyse the data, compare it to an energy simulation model, and benchmark it against data from millions of other buildings. This gives a comprehensive understanding of the building\u2019s performance and spots opportunities for optimisation.\"}),/*#__PURE__*/e(\"p\",{children:\"Now, Till Asset Management benefits from real-time performance insights and actionable recommendations to boost energy efficiency and cut emissions. The long-term plan is even more ambitious: enabling Optimise AI\u2019s algorithms to autonomously control the BMS, ensuring optimal user comfort while slashing energy consumption and carbon output.\"}),/*#__PURE__*/e(\"p\",{children:\"Les Lang, Partner at Till Asset Management, shared his experience:\"}),/*#__PURE__*/e(\"blockquote\",{children:/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"em\",{children:'\"I was initially skeptical about the impact a semantic digital twin could have on managing energy and carbon emissions. However, I\u2019m now a firm believer in its benefits and am excited to roll this out across the Exchange Quay site.\u201C'})})}),/*#__PURE__*/e(\"p\",{children:\"This partnership proves that cutting-edge technology doesn\u2019t have to be overwhelming. It can drive change in operational efficiency and sustainability, simply.\"})]});export const richText8=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/i(\"h1\",{children:['\"I was initially skeptical\u2026  ',/*#__PURE__*/e(\"strong\",{children:\"now I\u2019m a firm believer in digital twins\"}),\"\u201D\"]})});export const richText9=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"Reading Station, one of the oldest and busiest railway stations in the UK, opened in 1840 and serves as a major transport hub connecting London Paddington to the west of England and South Wales. Like many stations across the UK, Reading Station\u2019s asset managers had a basic Building Information Modelling System and access to limited data.\"}),/*#__PURE__*/e(\"p\",{children:\"With Optimise AI\u2019s technology, they were able to understand the rhythm of Reading Station\u2019s energy usage with total clarity. By understanding how train schedules and major dates interacted with facility usage, Reading Station was able to ensure that all facilities were only being powered when they needed to.\"}),/*#__PURE__*/e(\"p\",{children:\"As a result of the insights gained from Optimise AI\u2019s digital twin, Reading Station was able to implement strategies that saved energy and carbon emissions. This modern approach aligns with the station's recent redevelopment efforts, which included sustainable features such as energy-efficient lighting and improved accessibility, making it a more environmentally friendly and user-friendly station.\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"The Process\"})}),/*#__PURE__*/e(\"p\",{children:\"The digital twin development unfolded through:\"}),/*#__PURE__*/i(\"ol\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"An energy audit of the station.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Engagement with asset management team to understand operational details\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Creation of an energy simulation model.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Enhancement of the existing Building Information Modelling (BIM) data.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Integration of data from a variety of meters and sensors.\"})})]}),/*#__PURE__*/e(\"p\",{children:\"Reading station\u2019s key issue was a lack of data. The asset management staff had limited data collection capacities, and a basic BIM model. We therefore installed sensors on energy-intensive devices like lifts, escalators and lights. We used the data collected to build an enhanced energy model of the building.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"Our enhanced model, combined with data from the meters and sensors, formed a comprehensive digital twin of the station. Asset management staff were then able to use this digital twin to forecast various different energy-usage scenarios based on times of day or during particular events.\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"The Outcome\"})}),/*#__PURE__*/e(\"p\",{children:\"As a result of the digital twin technology, Reading\u2019s Asset Management staff were able to:\"}),/*#__PURE__*/i(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Visualize the energy usage of the station\u2019s escalators, lifts and LED lights.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Understand the impact of footfall on energy usage\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Compare real-time data with predicted data\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Understand energy requirements at different times of the day\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Correlate energy usage with C02 emissions\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Match energy usage with busy events and train schedules\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Compare the energy impact of different energy reduction strategies.\"})})]}),/*#__PURE__*/e(\"p\",{children:\"By giving Reading staff full visibility over their data, they were able to create energy strategies that improved efficiency, saved money, and reduced Reading Station\u2019s carbon footprint.\"}),/*#__PURE__*/e(\"p\",{children:\"This continues as energy management with further gains is a journey. Further submetering and sensors are being introduced to increase the insights and maximise the savings.\"}),/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(t,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:i=>/*#__PURE__*/e(s,{...i,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/dMdWOxj1AAw?feature=shared\"})})})]});export const richText10=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"h1\",{children:\"Digital Twins in a Transport Hub\"})});export const richText11=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"We implemented a cutting-edge intelligent performance management system for the sports facilities of the Qatar World Cup. This solution was designed to address energy and water consumption, as well as their interrelationship, aiming to achieve significant reductions in energy demand (up to 30%) and water usage (up to 10%).\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"The project developed innovative tools for intelligent performance management, integrating considerations for energy, water usage, and their nexus. These tools\\xa0leverage\\xa0advanced optimization, simulation, and data-driven\\xa0modelling\\xa0techniques, tailored to meet the unique requirements of stadiums and sports facilities. Beyond addressing the core challenges of energy and water consumption and their nexus, the system also prioritizes the well-being and safety of sports facility users. Moreover, it fosters a novel relationship and business model framework between facility managers and energy/water providers, contributing to broader societal and environmental\\xa0benefits.\"}),/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(t,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:i=>/*#__PURE__*/e(s,{...i,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/cvBr3-FjvFY?feature=shared\"})})})]});export const richText12=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"h1\",{children:/*#__PURE__*/e(\"em\",{children:'\"We implemented a cutting-edge intelligent performance management system.\"'})})});export const richText13=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"The Works in Ebbw Vale\\xa0is a\\xa0redevelopment project aimed at revitalizing the\\xa078-hectare\\xa0former steelworks site and its surrounding areas. The project involves transforming the industrial landscape into a modern business park and community\\xa0hub.\"}),/*#__PURE__*/e(\"p\",{children:\"Our project involves\\xa0minimising energy and carbon emissions from the following buildings:\"}),/*#__PURE__*/i(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Secondary School\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Learning Campus\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Victorian age General Offices\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Leisure Centre\"})})]}),/*#__PURE__*/e(\"p\",{children:\"We are doing this by building from Cardiff\\xa0University\u2019s\\xa0original research (see video)\\xa0that created 20% energy savings and 43% carbon\\xa0emissions\\xa0reductions during the pilot phase.\"}),/*#__PURE__*/e(\"p\",{children:\"Buildings are intricate systems influenced by various dynamic factors,\\xa0necessitating\\xa0a shift from passive to active management for improved energy performance. This transition must consider environmental, behavioural, economic, technical, and performance optimisation aspects to achieve energy efficiency and long-term sustainability. Current building management systems excel at creating and managing information but lack the ability to learn and adapt to performance\\xa0objectives.\"}),/*#__PURE__*/e(\"p\",{children:\"To optimise\\xa0the\\xa0buildings\\xa0at Ebbw Vale, we are federating AI surrogates using semantic energy optimisation capabilities driven by collaborative learning and adaptable AI tailored to the built environment parameters. Our\\xa0objective\\xa0is to develop an energy optimisation system with calibration abilities based on IoT sensor data, narrowing the prevalent energy performance gap and charting pathways towards achieving net-zero targets.\"}),/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(t,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:i=>/*#__PURE__*/e(s,{...i,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/5X_kTyE5f6M?feature=shared\"})})})]});export const richText14=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"h1\",{children:/*#__PURE__*/e(\"em\",{children:'\"\u2026revitalizing the 78-hectare former steelworks site and its surrounding areas.\"'})})});export const richText15=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"Research papers:\"})}),/*#__PURE__*/i(\"p\",{children:[\"Li, Y., Rezgui, Y. and Kubicki, S. 2020.\\xa0An intelligent semantic system for real-time demand response management of a thermal grid.\\xa0Sustainable Cities and Society\\xa052, article number: 101857, DOI:\\xa0\",/*#__PURE__*/e(n,{href:\"http://dx.doi.org/10.1016/j.scs.2019.101857\",motionChild:!0,nodeId:\"MhIqqTGnY\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"10.1016/j.scs.2019.101857\"})})]}),/*#__PURE__*/i(\"p\",{children:[\"Jayan, Mr Bejay, et al. 2016.\\xa0An analytical optimization model for holistic\\xa0multiobjective district energy management\u2014A case study approach.\\xa0International Journal of\\xa0Modelling\\xa0and Optimization\\xa06.3, 156-165, DOI:\\xa0\",/*#__PURE__*/e(n,{href:\"https://doi.org/10.7763/IJMO.2016.V6.521\",motionChild:!0,nodeId:\"MhIqqTGnY\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"10.7763/IJMO.2016.V6.521\"})})]})]});\nexport const __FramerMetadata__ = {\"exports\":{\"richText13\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText4\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText1\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText11\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText7\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText6\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText12\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText9\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText14\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText2\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText3\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText15\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText10\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText8\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText5\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"__FramerMetadata__\":{\"type\":\"variable\"}}}"],
  "mappings": "ySAAyS,IAAMA,EAAsBC,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,cAAc,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,ygBAAygB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,eAAe,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gRAAgR,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,cAAc,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,yPAAyP,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gWAA2V,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,mOAAmO,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,gBAAgB,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gPAA2O,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,wLAAwL,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,sNAAiN,CAAC,EAAeA,EAAE,aAAa,CAAC,SAAsBA,EAAE,IAAI,CAAC,SAAS,yJAAyJ,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gNAA2M,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,YAAY,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,0UAA0U,CAAC,CAAC,CAAC,CAAC,EAAeC,EAAuBD,EAAID,EAAS,CAAC,SAAsBC,EAAE,KAAK,CAAC,SAAS,iCAAiC,CAAC,CAAC,CAAC,EAAeE,EAAuBJ,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,YAAY,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,sXAAiX,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,0UAAqU,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,eAAe,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,ySAAoS,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,cAAc,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,ydAAod,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,kDAA6C,CAAC,EAAeF,EAAE,KAAK,CAAC,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,QAAQ,sBAAsB,kBAAkB,6BAA6B,MAAM,0BAA0B,MAAM,EAAE,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,EAAE,iJAAiJ,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,UAAU,CAAC,EAAE,wJAAwJ,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,0QAA0Q,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,oBAAoB,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,8IAA8I,CAAC,EAAeF,EAAE,KAAK,CAAC,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,QAAQ,sBAAsB,kBAAkB,6BAA6B,MAAM,0BAA0B,MAAM,EAAE,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,oBAAoB,CAAC,EAAE,+CAA+C,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,oBAAoB,CAAC,EAAE,gDAAgD,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gMAA2L,CAAC,EAAeA,EAAE,aAAa,CAAC,SAAsBA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,8PAA8P,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,gFAAgF,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,YAAY,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,sXAAiX,CAAC,CAAC,CAAC,CAAC,EAAeG,EAAuBH,EAAID,EAAS,CAAC,SAAsBC,EAAE,KAAK,CAAC,SAAS,0FAA0F,CAAC,CAAC,CAAC,EAAeI,EAAuBJ,EAAID,EAAS,CAAC,SAAsBC,EAAE,IAAI,CAAC,SAAsBA,EAAEK,EAAE,CAAC,KAAK,gCAAgC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBL,EAAEM,EAAE,EAAE,CAAC,SAAS,+BAA+B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeC,EAAuBT,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,iPAAiP,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,wYAAmY,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,kJAA6I,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+CAA+C,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4KAAuK,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,sKAAsK,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,2IAA2I,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,oIAAoI,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,uLAAuL,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,kDAAkD,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,0OAA0O,CAAC,CAAC,CAAC,CAAC,EAAeQ,EAAuBR,EAAID,EAAS,CAAC,SAAsBC,EAAE,KAAK,CAAC,SAAS,sDAAsD,CAAC,CAAC,CAAC,EAAeS,EAAuBX,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,+SAA+S,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+SAA+S,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,2MAA2M,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,mTAA8S,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4VAAuV,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,oEAAoE,CAAC,EAAeA,EAAE,aAAa,CAAC,SAAsBA,EAAE,IAAI,CAAC,SAAsBA,EAAE,KAAK,CAAC,SAAS,oPAA0O,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,sKAAiK,CAAC,CAAC,CAAC,CAAC,EAAeU,EAAuBV,EAAID,EAAS,CAAC,SAAsBD,EAAE,KAAK,CAAC,SAAS,CAAC,qCAA6CE,EAAE,SAAS,CAAC,SAAS,+CAA0C,CAAC,EAAE,QAAG,CAAC,CAAC,CAAC,CAAC,EAAeW,EAAuBb,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,0VAAqV,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,iUAAuT,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,uZAAkZ,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,aAAa,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gDAAgD,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,iCAAiC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,yEAAyE,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,yCAAyC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,wEAAwE,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,2DAA2D,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gUAA2T,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gSAAgS,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,aAAa,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,iGAA4F,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,oFAA+E,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,mDAAmD,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,4CAA4C,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,8DAA8D,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,2CAA2C,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,yDAAyD,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,qEAAqE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,iMAA4L,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,8KAA8K,CAAC,EAAeA,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEY,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBb,EAAEc,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,6CAA6C,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeE,EAAwBf,EAAID,EAAS,CAAC,SAAsBC,EAAE,KAAK,CAAC,SAAS,kCAAkC,CAAC,CAAC,CAAC,EAAegB,EAAwBlB,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,0UAA0U,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+qBAA+qB,CAAC,EAAeA,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEY,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBb,EAAEc,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,6CAA6C,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeI,EAAwBjB,EAAID,EAAS,CAAC,SAAsBC,EAAE,KAAK,CAAC,SAAsBA,EAAE,KAAK,CAAC,SAAS,4EAA4E,CAAC,CAAC,CAAC,CAAC,CAAC,EAAekB,EAAwBpB,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,mQAAmQ,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,8FAA8F,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,kBAAkB,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,iBAAiB,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,+BAA+B,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,gBAAgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,uMAAkM,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,2eAA2e,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gcAAgc,CAAC,EAAeA,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEY,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBb,EAAEc,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,6CAA6C,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeM,EAAwBnB,EAAID,EAAS,CAAC,SAAsBC,EAAE,KAAK,CAAC,SAAsBA,EAAE,KAAK,CAAC,SAAS,uFAAkF,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeoB,EAAwBtB,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,kBAAkB,CAAC,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,mNAAgOE,EAAEK,EAAE,CAAC,KAAK,8CAA8C,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBL,EAAEM,EAAE,EAAE,CAAC,SAAS,2BAA2B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeR,EAAE,IAAI,CAAC,SAAS,CAAC,iPAAyPE,EAAEK,EAAE,CAAC,KAAK,2CAA2C,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBL,EAAEM,EAAE,EAAE,CAAC,SAAS,0BAA0B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EACp5xBe,EAAqB,CAAC,QAAU,CAAC,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,SAAW,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,mBAAqB,CAAC,KAAO,UAAU,CAAC,CAAC",
  "names": ["richText", "u", "x", "p", "richText1", "richText2", "richText3", "richText4", "Link", "motion", "richText5", "richText6", "richText7", "richText8", "richText9", "ComponentPresetsConsumer", "i", "Youtube", "richText10", "richText11", "richText12", "richText13", "richText14", "richText15", "__FramerMetadata__"]
}