Sustainable Development Goals

#SDG11 Smart HVAC to Reduce Energy Usage in Buildings

Saving the Earth with #AI #IoT & #Sustainability

With buildings responsible for 27% of operational carbon emissions due to their energy usage, connecting office building occupancy to heating, ventilation, and air conditioning systems can cut that usage by as much as 30%. Smart thermostats and motion detectors can reduce wasteful energy usage by heating or cooling buildings, floors, and spaces only when people are detected. Predicting when and where people will be within buildings with AI is even better.

#SDG13 Reducing Vehicle Emissions Through Fleet Management

Saving the Earth with #AI #IoT & #Sustainability

The transportation sector accounts for more than 30% of carbon emissions and a third of that comes from fleet vehicles like trucks. Managing fleets can reduce fuel consumption and emissions by up to 25% through route optimization, identifying speeding, harsh braking, prolonged engine idling, and monitoring the health of the engine, transmission, and pressure in the tires to proactively deliver maintenance. Predicting deleterious vehicle behavior with AI is even better.

#SDG11 Drive Energy Efficiency in Buildings with Electrical Submetering

Saving the Earth with #AI #IoT & #Sustainability

Comprehensive building energy management requires the submetering of all major electrical systems, circuits and equipment to drive better power efficiency. Using a single, overall electrical current meter for the whole building isn’t granular enough to discover inefficiencies. You start by creating a baseline of electricity usage throughout all parts of the building and then search for inefficiencies. Find areas of abnormally high energy consumption and then mitigate anomalies with repairs or more energy efficient equipment. This cuts energy usage, reduces emissions, and saves money. Predicting excessive energy usage within buildings with AI is even better.

#SDG2 Reducing Food Loss with a Strong Cold Chain

Saving the Earth with #AI #IoT & #Sustainability

Food production exceeds global demand by 20% and yet we can’t feed the world’s population with 1.3 billion tons of food wasted or lost every year in the supply chain. This equates to anywhere between 30-40% of perishable food lost after harvest on the farm. Ensuring consistent refrigeration to prevent food from spoiling throughout the supply chain from storage, to trucks, to warehouses, to grocery stores and restaurants via cold chain monitoring is essential. Predicting lapses in proper temperatures with AI is even better.

#SDG13 Reducing Emissions along Oil and Gas Pipelines

Saving the Earth with #AI #IoT & #Sustainability

Leaks along the length of oil and natural gas pipelines result in the emission of greenhouse gases (GHG) such as carbon dioxide, methane, and others. Continuous monitoring to detect the presence of these gases rather than waiting for periodic inspections delivers a significant and immediate impact in reducing the GHGs that are warming the Earth. In fact, continuous monitoring systems can reduce methane emissions by approximately 60-90% when combined with rapid repair protocols. Additionally, eliminating in-person inspections reduces vehicle fuel consumption and associated emissions by up to 40%. Predicting pipeline emissions with AI is even better.

#SDG11 Smart Lighting to Reduce Energy Usage in Buildings

Saving the Earth with #AI #IoT & #Sustainability

Buildings are responsible for 27% of operational carbon emissions due to their energy usage. Connecting office building occupancy to lighting can cut that usage by as much as 40%. Motion detectors can reduce wasteful energy usage by illuminating buildings, floors, and spaces only when people are detected. Additionally, light sensors can adjust brightness based on the amount of natural sunlight present to save even more energy. Predicting when and where people will be within buildings with AI is even better.

#SDG15 Protecting Endangered Species

Saving the Earth with #AI #IoT & #Sustainability

Thousands of species of animals have been illegally traded via wildlife trafficking and over 45,000 species are threatened with extinction. Establishing protected areas of flora and fauna while utilizing real-time wildlife monitoring can detect a decline in population from trafficking and poaching to assist in conservation efforts. Predicting when trafficking typically occurs with AI is even better.

#SDG6 Ensure Safe Drinking Water

Saving the Earth with #AI #IoT & #Sustainability

Nearly one billion people lack access to safe drinking water and two billion has inadequate access to sanitation facilities. Water quality can be tested for chemicals and the presence of microorganisms from sewage, runoff or discharge from factories. Furthermore, monitoring acidity and the cloudiness of water is an indicator of localized pollution potentially caused by land-based activities. Predicting unsafe drinking water conditions with AI is even better.

#SDG6 Reduce Water Usage on Farms

Saving the Earth with #AI #IoT & #Sustainability

Agriculture is the word’s largest user of water, accounting for 70% of total freshwater consumption. This puts farms in direct competition with humans and animals for Earth’s most precious resource. While some farmers struggle to get enough water due to drought, others waste up to 50% of the water used in crop irrigation. Precision irrigation based on environmental conditions can reduce water consumption by as much as 50% in some cases. Predicting when crops need irrigation is even better.

#SDG6 Reduce Freshwater Leakage

Saving the Earth with #AI #IoT & #Sustainability

Despite water covering 70% of the Earth, only 1% is drinkable freshwater. While one in ten people around the world don’t have access to safe drinking water, roughly 6 billion gallons of freshwater is lost per day leaking from pipes in the U.S. alone. Leak detection can provide early warning and the location of leaks so that water loss can be addressed immediately. Predicting leaks with AI is even better.

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