How AI Can Help Reduce Carbon Emission

How AI Can Help Reduce Carbon Emission

Climate change has been a burning issue since the 90s. The pressure to address global warming as a threat is increasing, forcing businesses to act on it. Governments worldwide are making efforts on a war against climate change. By reducing carbon emission, it would help protect the environment. One quick and convenient way is by using artificial intelligence (AI) technology.

The use of AI is a major strategy in the topic of climate change. Even with the current situation of staying at home, the level of CO2 in the atmosphere is high. Artificial intelligence won't stop the rising levels of CO2. However, it will help reduce the greenhouse gas release in many ways. This, in turn, will ensure sustainable living for all.

The Potential of AI

Many companies support the use of AI in all industries. AI can help fulfil up to 45% of the Paris Agreement by 2030, according to the Capgemini Research Institute. The same Institute argues that power efficiency will improve in the next three to five years by 15 percent. This will start at the industry level and later used at individual levels.

In addition, using AI can reduce global greenhouse gases by 4%. Google's AI can predict wind power up to 36 hours in advance. The value of reducing greenhouse gases would save from $208 billion to $424 billion globally for all companies. Largely, it will portray a great amount of savings globally and balance the amount of carbon produced in the environment.

How does AI Work?

Now, it's crucial to understand how this impactful technology works. AI mostly learns by experience, getting data from its environment, and giving guidance from the conclusion. It can predict, monitor, and reduce emissions. Predicting Emissions: AI can forecast data on future carbon emissions using data on future needs and current reduction approaches. Therefore, enabling it to set, adjust and achieve reductions correctly.

Monitoring Emissions: Deedster is an application that helps manage carbon footprints and climate data to promote sustainability. The website supports tracking of emissions by tracing carbon footprints in the value chain. An AI-powered technology does tracking. Reducing Emissions: After getting details from the value chain in production, AI will increase efficiency in transportation, production, and thus cutting costs and reducing emissions.

Benefits of AI in Carbon Emission

To see the benefits of AI, companies must aim at areas with high carbon emissions. AI also uses a lot of energy in its production. Therefore, its emission should be looked into. However, this technology is useful in the transport industry. In some cities, AI powers automatic vehicles and service cars. It operates traffic signals, improves paths, and helps in data labelling.

Next, AI can also be used to reduce energy waste from buildings and understand the supply and demand for products. Also, AI can help monitor the weather and prevent disasters. The use of current building materials attributes to about 9% of greenhouse gas emissions. AI helps scientists make new materials with a lower carbon footprint by mixing different compounds more efficiently.

Our approaches of AI on carbon emission

There are three plans we would recommend joining in the war against carbon emission. Start Small: To design a workable AI system, use the Minimum Viable Product concept. Also, use pilots and prototypes to learn and develop. Aim High: Use AI to improve the sight of emission across the value chain. Scale Fast: Then, apply the technology for reducing carbon footprint.

Deedster's Approach

At Deedster, we aim to inspire people to act on the climate. We believe that AI can create a future dashboard for the planet. This will allow us to foresee, model, and manage future environmental systems. We believe that educating and informing others about climate change will help reduce carbon footprint in the environment. You can engage your team through us.

Addressing the Carbon Footprint of AI

The carbon emitted by AI is indeed high. According to research done by the University of Massachusetts, the power used to train a neural network is about five times higher than that of a US car in its lifetime. That is including its manufacturing power which is about 270,000 kg of CO2 emission. The latest model also produces high levels of carbon.

However, researchers are currently coming up with new ways to use renewable resources in the production of AI and reducing the carbon footprint. They are also reducing the power required to train AI. The benefits of AI balance its disadvantages. When the model goes through training, it offsets the emissions it has created. At Deedster, we collect data to reduce carbon footprint.

Final Take on the AI and Carbon Emission Link

In about a year, most companies will see the financial benefits of AI instead of the costs. Besides, it will be a great practice during the COVID-19 recovery phase. Moreover, AI can help move into a low-carbon future, lower costs, and greatly reduce global warming. It will enable more advanced climate change issues to be dealt with the keenness it needs.


Peter Davidson

Peter Davidson

Being a senior business associate, Peter Davidson strives to help different brands and startups in making efficient decisions and planning business strategies.

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