Advanced Low Carbon Heat and Energy Modelling Accelerating Investment (ALCHEMAI) will transform how we carry out retrofits and building upgrades to millions of non-domestic buildings in the UK. There are over 2 million non-domestic buildings in the UK, which generate 9% of our carbon emissions (UK Government figures). It is commonly accepted that 80% of the buildings which exist in 2050 have already been built, meaning that 1.6m of non-domestic building will require some degree of retrofit intervention. However, the current approach to building upgrades is filled with uncertainty, assumptions and sub-optimal performance. This higher risk means that vital facilities within our communities, such as leisure centres, community hubs, schools and healthcare facilities, are at the risk of closure because they are becoming too expensive to run, and too risky to retrofit. Our disruptive project brings to market intuitive optimised pathways for sustainable building upgrades, using immersive Digital Twins (DTs), to fuse sensor technology, Passivhaus Retrofit, low carbon electricity trading, local renewables and flexibility to deliver accessible, affordable clean heating for a diverse range of buildings and occupants. This will: \*Determine optimised building upgrades. \*Minimise payback horizon. \*Create a range of demonstrator sites. \*Minimise equivalent CO2 emissions. \*Maintain comfort level and building integrity. \*Enable building upgrades at scale and accessible to all.

Our project aims to develop the Atamate products and services to establish a data driven methodology to reduce energy demand and carbon emissions in existing domestic buildings. Building energy consumption and therefore carbon emissions are dictated by the fabric performance of the building - levels of insulation and airtightness, the installed mechanical and electrical systems, and most importantly the occupancy or use of the building. We propose to partner with a Housing Association to monitor a number of trial buildings, each with a different combination of fabric, services and occupancy, to provide a dataset to monitor, assess and improve in use performance. We believe that there are 3 core challenges in upgrading existing buildings that we would look to address as part of this project: 1. Developing appropriate strategy for intervention of mechanical and/or fabric upgrades. Success criteria will be based on: 1. Providing a route to zero carbon - which means removing gas (or oil) from a property. 2. Maintain tenants' bills at or ideally below current levels 3. Optimal capital cost intervention. Atamate acts as a monitoring and control platform to trial different fabric and mechanical interventions. 2. Verification that the work is completed to an appropriate standard. Refurbishment work is difficult and often hidden (eg. mastic a window or insulating a roof). Consequently verifying the contractor has completed the work correctly is critical. We believe that data collected from atBOS can be used for this purpose. 3. Ensuring the building is healthy for occupants. atBOS technology will monitor air quality, climate, occupancy and energy and water use in real time. Our project proposes to use our existing technology platform, atBOS, to control and monitor house associations properties to gather data to research and develop tools to address these challenges. These tools will then allow solutions to be scaled up. As every building is different, having an approach which can flex to different combinations of architecture, mechanical systems and building occupants is crucial. We believe that an integrated approach to controlling buildings can provide this flexibility whilst providing a platform that allows other technologies and practices to align for the same purpose. We therefore offer the glue that can tie decarbonisation projects together, whilst also providing the capability to monitor and report actual performance in use.

When Britain returns to work at the end of the lockdown period, we will need to limit transmission of Covid-19 to avoid another major outbreak to properly ensure Britain's economic recovery. With this project, we intend to protect employees from infection by minimising contact spread within the workplace. Our approach builds on Atamate's building control system. This continually monitors interiors of buildings, optimising services eg: lighting/ventilation. We plan to extend its functionality to combat the spread of Covid-19 in the workplace using the following approaches: Employee protection: someone infected with Covid-19 can transmit the infection for several days before they know they are infected. We plan to support existing workplace cleaning and limit the potential for infection. We will use ultra-violet lamps that can sterilise an area if triggered by sensors detecting that everyone has left a room. This can be used to sterilise spaces like lifts and toilets \]where many people intersect. Buildings can be sterilised before the cleaners come in, both enhancing cleaning and protecting the cleaners. Regular cleaning of surfaces is key to preventing transmission, so we plan to track cleaners and their equipment using Bluetooth tags allowing managers and other occupants to confirm that every part of the building is cleaned. Atamate monitoring of air quality will detect areas where virus-infected aerosols may linger, indicating where improved ventilation may eliminate a possible transmission hotspot. Monitoring people: Countries like Taiwan and South Korea have minimised lockdown restrictions by tracing the contacts of infected individuals and instructing them to self-isolate before they know they are infectious. The UK's post-lockdown strategy will need to incorporate similar measures if prolonged economic impact is to be avoided. We will enhance 3rd party's proposed contact tracing in the workplace using Bluetooth tags or phones providing a much greater level of triangulation and accuracy. If someone is diagnosed with Covid-19, anyone they have been in contact with can be instructed to self-isolate avoiding the entire building being closed. Reassurance: Many people will find the return to work stressful because it will involve exactly the sort of contact that months of social distancing have been intended to avoid. Being able to see that employers have taken steps to safeguard their wellbeing will be reassuring. Employees will be able to view the tracking of cleaning and activity of ultra-violet sterilisation for themselves.

To deliver advanced holistic control of building services. State-of-the-art machine learning will integrate sensor data and observed usage patterns for service control to lower the environmental impact, reduce operational cost, and improve comfort and security.