According to Climate-KIC, even though we're still emitting 17% less CO2 than in 2019, our current greenhouse gas emissions still exceed the normal rate by 80%. And this is one of the most significant drops we've had in recent years. If this situation continues, the economic damage resulting from climate change will equate to sustaining one COVID-like pandemic every ten years. Fortunately, AI can significantly impact climate change by helping different sectors minimize their carbon footprint. Many organizations are already racing to deploy on their journey to becoming more sustainable. artificial intelligence as a service So, can technology save us from climate change? This article will help you discover how to apply AI in climate change reversing practices and make sure your algorithms don't cause excess pollution on their own. What Your Business Gains from Embracing Sustainability A company from any sector can use or other technology to fight climate change and reap the rewards. The benefits range from financial incentives to compliance to gaining a “green” status. Could AI solve global warming? Probably not by itself, but research shows that AI technology by 4% by 2030. artificial intelligence and its subtypes could help cut greenhouse gas emissions Governments support companies in their journey towards sustainability. The EU Innovation Fund pledged to provide for companies that invest €7.5 million in sustainable technology between 2020 and 2030. €10 billion of support The US is also concerned with climate change. One of the first actions of the Biden administration was to rejoin the Paris Agreement. In November 2021, the House of Representatives passed a large aiming to slow global warming. This bill features substantial tax benefits. For instance, it allocates $320 billion in tax incentives for producers and consumers of wind, solar, and nuclear power. Additionally, President and wants America to lead the AI race. spending bill of $2.2 trillion Biden has a strong view of AI Here are some of the main perks of embracing sustainability: Governments offer tax breaks and other financial perks for companies that concentrate efforts towards minimizing their carbon footprints. For example, US state government agencies compensate companies of replacing their diesel vehicles with zero-emission options Financial incentives. 75% of the costs Your business will join other companies worldwide that are known and applauded for their sustainable practices. For example, Dell is one of the green computer manufacturers. It launched a recycling campaign that enables customers to bring back notoriously hard-to-recycle electronics for free “Green” status. People are increasingly aware of climate change and want to associate with companies that stand for the same cause. According to recent studies, are willing to buy sustainable products even if they cost more Popularity among customers who fight against global warming. 64% of Americans Governments are continuously passing new climate-related regulations on the local and federal levels. Even if certain regulations are not enforced yet, your sustainability efforts will give you a head start and help prepare for the change Regulatory compliance. Research shows that a company’s stock can solidify after it implements eco-friendly practices. examined companies in six industries and revealed that the firms that lead in environmental and social policies outperform the general stock value Better stock value. One study How AI Can Help Tackle Climate Change Climate Change AI for Waste Management Waste processing is a challenging task as waste composition and quantity vary depending on seasons and regions. Therefore, fixed rules that human employees follow when gathering and processing waste are often inadequate. Installing climate tech, such as intelligent garbage beans and IoT sensors, can help municipalities adjust the garbage collection routes and frequency of waste gathering. Governments and technology startups are working towards improving the current waste management and recycling systems. One example comes from Austria. The Graz Climate Fund and the Styrian Future Fund financed AI-Waste research project that is expected to deliver actionable recommendations on optimizing waste processing. The project commenced in 2021, and after two years, it expects to . increase waste recycling by 10% To fight climate change, London-based startup Greyparrot, trained machine learning algorithms to recognize different types of waste to make recycling more efficient. The company claims that less than 1% of waste is currently being audited, and it wants to improve this situation. Recycling companies can install Greyparrot’s hardware-agnostic application into their facility to ensure waste is adequately sorted and recycled. The company obtained in 2020. nearly $2.2 million in seed funding AI in Weather Forecasting and Climate Prediction AI can rapidly analyze dynamic data, such as obtained from weather forecasting systems and create a simulation that scientists use for decision-making. This being said, machine learning-based weather forecast enables scientists to identify extreme conditions, such as hurricanes, . with 89% to 99% accuracy Researchers at Montreal Institute for Learning Algorithms (MILA) are making the effects of climate change more visible to ordinary people. MILA’s team built an application that would let users see how their neighborhoods will look in the future given different climate change scenarios. Anyone can visit to apply realistic filters of flooding, fire, etc., and view how their selected locations will look (not all locations worldwide are available). thisclimatedoesnotexist.com Here are a few heartbreaking images: Another example comes from Japan. The Japanese government partnered with Accenture to launch an AI-powered system that will send disaster alerts to citizens’ smartphones. Subscription to this service is voluntary, and citizens can choose to opt-in when they are ready. The question of data privacy has been raised, but Accenture addressed it promptly. Here is what Shojiro Nakamura, Co-lead of Accenture Innovation Center Fukushima , “Most smart city data derives from citizens' activities - energy usage, healthcare, etc. - and the owner of the data is the citizen, even if it is held by companies or clinics. So it is critical that citizens have control over the degree to which their data is accessible.” said in this regard AI in Environmental Monitoring Another application of AI in climate stems from using drones to monitor the environment. Drones provide the easiest way to gather data on remote regions. Machine learning algorithms can analyze climate data from drone images, enabling scientists to monitor vegetations over large land areas for a prolonged period to understand how climate change impacts these locations. AI can also analyze satellite images and predict changes. For example, , an AI startup based in California, deploys convolutional neural networks to process radar data and identify virgin forests being destroyed and replaced with buildings and roads. This initiative is a part of the Global Forest Watch’s real-time forest monitoring efforts. Orbital Insight In another instance, a Canadian startup monitors thawing permafrost across the Canadian Arctic by processing satellite images. Permafrost is mainly found in Arctic regions. It contains ice and some organic material. It encapsulates around , which is released into the atmosphere as permafrost melts. With this AI-powered technology, the startup can deliver timely insights regarding permafrost’s state. 3vGeomaticsn 1,500 billion tons of carbon AI in Emission Measurement AI-powered climate change solutions enable companies to measure their carbon footprint by setting a dependable emission baseline and monitoring progress. An AI startup from Finland, Aeromon, in real-time. It can quantify emissions and visualize various gases and other matter. tracks industrial emissions AI-based climate technology can also accurately measure power plant emissions. Google offered a to use its satellite-based technology to hold power plants accountable for their environmental impact. As a part of this grant, Carbon Tracker was expected to study emissions of around and make the results public if needed. $1.7 million grant to Carbon Tracker 4,000 power plants Climate Change AI in Ocean Protection Oceans regulate our climate and generate half of the oxygen we breathe. But with global warming, they can turn into a threat. Think of storms and rising sea levels, which can displace if the ice continues to melt at the same rates. Climate change technologies can help us understand what’s happening with the oceans and prevent deterioration. Here is how Ronan Fablet, professor at IMT Atlantique, France, one of the winners of AI for Earth EU Ocean award, : up to 187 million people by 2100 puts this “Data can help tell us about the health of our oceans, including temperature and rising sea levels. But we need technology’s help to capture this vast amount of data and convert it into actionable intelligence. Fundamentally, AI can accelerate our ability to observe ocean dynamics and how they are changing at a global scale” When it comes to data, oceans are heavily underrepresented. There are 35 billion sensors positioned on land to gather data, while there are located in the ocean. Ocean Data Alliance uses IoT and AI to collect and analyze ocean data to build a digital twin ocean and understand what happens above, on, and below the ocean’s surface. This information enables decision-makers to monitor aspects, such as fishing, ocean mining, and the outbreak of marine disease. less than 10,000 sensors AI in Supply Chain Optimization The supply chain is an essential aspect of every business but also a costly one. Studies show that emissions resulting from a corporation’s supply chain are than that corporation’s direct emissions. The traditional approach to supply chain management doesn’t necessarily take demand into account, shipping excess items that will not serve any purpose. This results in extra costs and harms the environment. Artificial intelligence helps businesses fight climate change by accurately forecasting demand, allowing companies to only supply what will be consumed. on average 5.5 times higher Another example of using AI to improve supply chain sustainability is to analyze how environmentally friendly your partners are. Audi has been piloting such an . This AI tool evaluates various environmental and social factors, including water pollution and waste problems. When the car manufacturer spots a violation, it demands immediate adjustments or terminates the contract. AI-powered application to assess its supply chain AI in Materials Discovery Scientists are looking for new materials that would harvest, store, and use energy efficiently. AI can accelerate this tedious process. It can help discover new chemical structures and evaluate them against desirable properties. It can identify materials that absorb carbon dioxide or absorb and hold sunlight energy. Researchers at the University of Liverpool developed a tool that uses neural networks to examine relationships between different existing materials and spot the most promising combinations that could potentially lead to forming new substances. With the help of this tool, the team four previously unknown materials. recently discovered How Different Industries Use AI to Fight Climate Change The United States Environmental Protection Agency the sectors responsible for greenhouse gas (GHG) emission in the US. The transportation industry is leading the pack, followed closely by electricity and the industrial sectors. Below we will address these three sectors that contribute the most to polluting our atmosphere. revealed How the Transportation Sector Can Use Technology to Fight Climate Change Everyone knows that vehicles cause emissions. But not everyone is aware that idle vehicles waiting for a traffic light or in a traffic jam waste over annually. 6 billion gallons of diesel and gasoline AI technology can reduce climate change by facilitating traffic and minimizing shipment trips. It can: Connect vehicles with the help of , and allow them to communicate with each other and the infrastructure to avoid traffic jams and natural hazards. Together with , AI can identify traffic patterns and make intelligent recommendations regarding optimum routes IoT technology computer vision Analyze and bundle shipments together in such a way as to minimize the total number of trips, which would reduce emissions. Statistics show that is running partially empty due to poor planning around 30% of transport Improve battery energy efficiency in electronic vehicles to increase the mileage the car can traverse on one charge, reducing “range anxiety” Enhance vehicle design to increase its lifetime Prevent accidents as machine learning for climate change can detect transport hazards, such as unstable vehicles and overloaded trucks, and mitigate accidents that would cause traffic congestion, which in turn results in more emissions The city of Pittsburg, Pennsylvania, has pioneered using AI-powered traffic control technology. This tool operates traffic lights and communicates with autonomous vehicles that are being tested in the city. With the help of AI, Pittsburg by 40% and travel time by 25%. cuts traffic jams How the Electric Power Sector Can Use AI to Reverse Climate Change The traditional method of electricity generation occurs in thermal power plants, which produce electricity by burning coal and its derivatives. Here is how AI technology can help combat climate change: Assist in renewable energy production and distribution, such as coordinating solar and wind energy through smart grids Facilitate energy trading – i.e., the process of selling and purchasing data among different participants Coordinate participants in a virtual power plant where decentralized units, such as wind and hydropower plants, are operating under a centralized control system Forecast energy demand to avoid excess energy generation Help citizens track their energy usage, adjust their activities, and better plan consumption , an energy company headquartered in California, uses AI-powered applications to deliver insights on power usage. The company works with clients from ten countries and makes around a million predictions every minute. The company analyzes customer behavior and can spot fluctuating demands and inform its clients to adjust their supply. AutoGrid Another example of a company working in this field is , a Google subsidiary. It uses machine learning to analyze wind power and predict its output 36 hours ahead of the actual power generation. These calculations come in handy as wind power is highly unstable and unpredictable at times. DeepMind How the Industrial Sector Can Use AI Technology to Prevent Climate Change The industrial sector includes activities, such as manufacturing and food production, which uses fossil fuel to generate heat and facilitate chemical processes, emitting greenhouse gases. , and here is what it can do to help reduce pollution (these points were elaborated above): AI has numerous applications in manufacturing Make supply chains more sustainable Discover new materials to use in manufacturing Again, forecast demand to avoid excess supply in production Reduce production waste and facilitate recycling Subaru’s Indiana division achieved an honorable . The company turned to AI to categorize different materials used in manufacturing and make sure they are all properly recycled. zero-landfill status Chicago-based developed an AI-driven software that allows manufacturers to study their production data and make informed decisions to reduce their carbon footprint and increase product quality. Uptake AI and Climate Change: Issues to Consider AI technology can impact climate change, but and the technology itself causes its share of pollution. Studies show that training a large algorithm emits approximately , which is five times higher than what an average car can produce throughout its lifetime. The more powerful and accurate the algorithm is, the higher is its resulting pollution. It’s a challenge to estimate the amount of emissions a particular algorithm can generate. It depends on various factors, such as the number of mathematical operations to be performed to train the model, the type of computer hardware used, and the physical data storage and cooling requirements. AI has its implementation challenges 626,000 pounds of carbon dioxide Here are some practices that you can follow to reduce your algorithm’s carbon footprint: Rely on energy from sustainable sources to power your algorithms Look for ways to decrease the time needed to train algorithms and use resources efficiently. This is mainly for who develop algorithms data scientists Use computer chips that are specifically designed for neural networks instead of putting AI’s workload on chips tailored to video games and graphics Select your data center location carefully and avoid places where energy generation depends heavily on coal, such as India. Opt for datacenters powered by renewable energy instead Make sure your AI climate change algorithms are used in applications that aim to decrease emissions. , “AI accelerates whatever you ask it to accelerate.” So, be sure it does not accelerate climate change According to David Rolnick Are you concerned with your company’s carbon footprint? ITRex AI experts will develop a solution that will help you redesign your processes in a way that reduces emissions. Get in touch!

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