Edge computing: Use cases for sustainable efficiency

Edge computing processes data near its source, reducing latency and bandwidth usage and improving response times while lowering energy consumption and carbon emissions. Discover how 5G's low latency and edge computing work hand in glove to enhance these benefits in various use cases, driving efficiency and innovation across industries.

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Edge computing: Use cases for sustainable efficiency

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 Sustainability, edge computing, IoT, 5G

In today's fast-paced digital world, businesses are under increasing pressure to adopt sustainable practices while maintaining efficiency and responsiveness. Edge computing has emerged as a pivotal technology in this transformation, enabling real-time data processing and decision-making closer to the data source. This shift not only enhances operational efficiency but also supports sustainability goals by reducing energy consumption and minimising environmental impact.

How edge computing works and its benefits

Edge computing processes data near its source – at the periphery of the network¹ – significantly reducing the need for data to travel to centralised data-processing centres. This method minimises latency and bandwidth usage, enabling faster response times and real-time decision-making — essential for applications that require immediate data analysis and action. By leveraging edge devices, including IoT sensors and computing nodes, businesses can optimise operations across various industries.

Let's explore some use cases demonstrating how edge computing empowers industrial efficiency – sustainably.

Industrial applications of edge computing

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.

On the edge: The sustainable way to business excellence

By leveraging edge computing's sustainable advantages, as seen in smart buildings, data centres, renewable energy, and enhanced patient care, enterprises can streamline their operations without putting environmental responsibility on the back burner.

At Singtel Paragon, we simplify the adoption of 5G, edge computing, and low-latency applications for enterprises. This all-in-one solution enables on-demand network slicing, deployment of mission-critical 5G applications, and access to a robust ecosystem of partner applications.

By providing real-time network slicing, enhanced efficiencies, and plug-and-play solutions, enterprises can more easily optimise business growth while keeping the planet's health in focus.

Explore how you can leverage Singtel Paragon to experience the benefits of edge computing for business sustainability, today.

References:

  1. Accenture, Edge computing index, 2024.
  2. Transform Insights, Smart buildings reduce global energy, 2024
  3. 8 Billion Trees, Carbon footprint of data centers, 2024
  4. Net Zero Events, What is the role of edge data centers in energy efficiency?, 2024
  5. STL Partners, Edge computing and sustainability, 2024
  6. Techopedia, Edge computing in the energy sector, 2024
  7. National Library of Medicine, Healthcare Through Intelligent Edge Computing and Augmented Reality and Virtual Reality: A Systematic Review, 2024
  8. National Library of Medicine, Edge Computing Based Smart Healthcare Framework for Resource Management, 2024
  9. ResearchGate, Review of Privacy and Security of Edge Computing in Smart Healthcare Systems: Issues, Challenges, and Research Directions, 2024

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