Reduce Carbon Emission with AI

The whitepaper ‘Smart Carbon Emission Reduction, Inspire the Transformation to Green Energy’ from IDC and Baidu estimates that AI technology is set to contribute up to 70% of carbon emissions reductions by 2060. This is equivalent to reducing more than 35 billion tons of carbon emissions from now to 2060.

According to the whitepaper, the path to realising carbon neutrality must be technology-intensive. AI technology must be implemented in various industries through ICT infrastructure combined with carbon reduction technologies to create breakthroughs technologies and result.

Meanwhile BGC’s studies, Reduce Carbon and Costs with the Power of AI, implies the application of Artificial Intelligence (AI) can be a game changer because of its ability to deliver deep insights into the multiple aspects of the company’s carbon footprint. Large companies with huge data sets are in a good position to benefit on deploying AI.

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The Promise of AI

Climate change and its effects threatens the world as we know today, and the time to address or minimize its impact is running out. Global GHG emissions currently total about 53 gigatons of carbon dioxide equivalent (CO2e), according to the Carbon Disclosure Project. If we are to meet the goal of limiting the increase in average global temperatures to 1.5°C, as specified in the 2016 Paris Agreement, we must reduce those emissions by 50% by the end of this decade, according to the Science-Based Targets Initiative. In our experience with clients, using AI can achieve 5% to 10% of that needed reduction—between 2.6 and 5.3 gigatons of CO2e.**

According to BCG research, the potential overall impact of integrating AI into corporate sustainability initiatives could result in a value ranging from $1.3 trillion to $2.6 trillion in additional revenues and cost savings by the year 2030. As part of its commitment to achieving Net Zero, BCG anticipates spending $80 per ton by 2030 on high-quality, permanent greenhouse gas (GHG) removal. At this elevated price point, harnessing AI for reducing GHG emissions could translate into an extra savings of $208 billion to $424 billion for companies worldwide. If carbon offset prices continue to rise in the years ahead, the opportunities presented by AI are likely to yield even more substantial savings.

How to Reduce Carbon Emission with AI

AI’s strength is in its ability to learn by experience, collecting massive amounts of data from its environment, intuiting connections that humans fail to notice, and recommending appropriate actions on the basis of its conclusions.

Companies looking into reduce carbon emission and footprint should utilize AI to:

Monitor Emissions

AI-powered data engineering to automatically track emissions throughout their carbon footprint. They can arrange to collect data from operations, from activities such as corporate travel and IT equipment, and from every part of the value chain, including materials and components suppliers, transporters, and even downstream users of their products.

Predict Emissions

Predictive AI can forecast future emissions across a company’s carbon footprint, in relation to current reduction efforts, new carbon reduction methodologies, and future demand. As a result, they can set, adjust, and achieve reduction targets more accurately.

Reducing Emissions

Through providing insights in every aspect of the value chain, prescriptive AI and optimisation can improve efficiency in production and transportation helping reduce carbon emissions.

Large companies from transportation, pharmaceutical, consumer packaged goods, energy and utilities can reduce their environmental impact while also alleviating the financial pressure. This can be done by choosing top priority target areas with high carbon emissions and significant costs – especially areas with potential payback period of less than 24 months.

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