DECARBONISED GROWTH DEVELOPMENTS
● Data on energy use and emissions from land use and from the construction and use phases of buildings , supply chains , transport and other industry assets . Such data will be used to effectively monitor and control emissions , enable carbon accounting , or study trends in climate science or sustainability
● Data from across sectors about the inner workings of these sectors , from the mapping of physical assets to business processes . Such data will enable the development of digital technologies to reduce , optimise and control emissions .
Existing datasets can be repurposed , and made more accessible , to enable more effective emissions monitoring . Combining data from multiple sources can create insights that inform our
“ We are excited to combine , with Tridium , open automation and smart energy management to deliver smart parks and smart buildings that run on renewable energy , helping countries ’ transition to net zero ” understanding of emissions from different sources .
An AI study from Microsoft and PwC UK in 2019 found the technology ’ s environmental applications could save up to 4 percent greenhouse gas emissions by 2030 , contribute up to $ 5.2 trillion to the global economy in 2030 and create 38.2 million net new jobs globally .
Machine learning is another key area which can provide wider environmental benefits . It can be used to monitor carbon stock , and together with remote sensing , map peatlands , and assist in protecting them from drought and fires , avoiding the release of large amounts of carbon into the atmosphere . Digital technologies can also make food systems more reliant , increasing yields and reducing waste .
DECARBONISED GROWTH DEVELOPMENTS
Decarbonising the buildings sector is critical to achieving the Paris
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