
Smart buildings: Real-time responsiveness
Edge computing is a game changer for smart buildings by enabling immediate response to environmental changes. Smart buildings equipped with IoT devices collect data from sensors such as temperature, humidity, and occupancy. By processing this data at the edge, systems can instantly adjust heating, ventilation, air conditioning (HVAC), lighting, and other systems.
Thanks to localised computing capability, edge devices ensure that lighting systems adjust based on occupancy and natural light levels in real time, while HVAC systems optimise temperature and airflow. This targeted use of resources reduces electricity consumption, lowering overall energy use by 10-20%2, operational costs, and carbon footprints, making smart buildings integral to sustainable living.
Edge data centres: Low-carbon high efficiency
Traditional, large-scale data centres consume vast amounts of energy and have a significant environmental impact. Projections indicate they could account for 3.2% of global carbon emissions by 20253. To address this issue, companies are turning to a more sustainable alternative: edge data centres4. These data centres offer a sustainable alternative by processing and storing data locally, reducing the need for long-distance data transmission.
Since edge data centres require less power, leveraging them lowers energy requirements for data transport and overall carbon footprint compared to their traditional counterparts5. The bottom line: Assured business connectivity and efficiency without compromising the environment.
Power generation: Championing renewable energy
Edge computing revolutionises power generation by optimising the use of renewable energy sources in real time. The technology integrates seamlessly with renewable energy sources like solar and wind power by processing data locally and adjusting energy demands based on availability. This feature is particularly beneficial in remote locations with abundant renewable energy but limited grid connectivity.
Utility companies can optimise power distribution and consumption by analyzing real-time data from renewable sources6, such as solar panels and wind farms. Edge computing enables immediate adjustments to energy usage, predicting surpluses and deficits and responding to fluctuations in renewable energy production in no time. In short, this capability results in a more stable and reliable grid, allowing operators to balance power from renewable and traditional sources more effectively.
Enhanced patient care in healthcare
In the healthcare sector, edge computing enables real-time monitoring and decision-making7, crucial for medical environments. Edge devices process patient data locally from IoT devices such as wearable health monitors and bedside sensors, allowing for immediate analysis and timely interventions. This capability helps detect health anomalies early, facilitating prompt medical responses.
Additionally, edge computing optimises hospital operations8 by managing patient flow, tracking medical equipment usage, and monitoring environmental conditions. Combined, these tasks enhance resource efficiency and patient experience. By processing sensitive data locally, edge computing also strengthens data privacy and security9, ensuring compliance with healthcare regulations.