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18 Jan 2024 | Industry Insights

Predictive Maintenance and Beyond: How Digital Twins are Redefining Building Operations

Predictive Maintenance and Beyond: How Digital Twins are Redefining Building Operations

In the realm of smart buildings, one technology is making waves and revolutionising the way we manage and maintain our structures—digital twins. This advanced technology has already proven its mettle in industries like manufacturing, aerospace, and automotive, improving product quality, optimising processes, and reducing downtime. Now, it's time for building operations to reap the benefits of this innovation.

But what exactly are digital twins? Simply put, a digital twin is a real-time digital replica or model of a physical building. It provides a comprehensive, dynamic view of an asset's performance, allowing operators to predict, analyse, and resolve problems before they occur. In essence, it's a powerful tool that harnesses the power of data to facilitate decision-making and optimise performance.

Traditionally, building operations have been shackled by reactive maintenance methodologies—waiting for something to break before fixing it. While seemingly cost-effective in the short term, this approach often culminates in higher costs due to unplanned disruptions and emergency repairs.

Enter the era of predictive maintenance, powered by digital twins. By creating a digital twin of a building, facility managers can monitor the performance of various systems in real-time. They can predict potential issues before they happen and schedule maintenance activities accordingly. This proactive approach not only mitigates the risk of unexpected failures but also extends the life of the equipment, leading to significant cost savings.

Beyond predictive maintenance, digital twins can also contribute to improved energy efficiency, a crucial aspect in an era of escalating energy costs and mounting environmental concerns. A digital twin offers an intricate, dynamic model of a building’s energy consumption patterns, helping identify inefficiencies and opportunities for optimisation. Whether it's tweaking HVAC settings, optimising lighting schedules, or reconfiguring spaces to maximise natural light, the possibilities are endless.

So, what does this mean for building owners, facility managers, and operations teams?

Firstly, digital twins can lead to substantial cost savings. According to Deloitte, predictive maintenance can reduce maintenance costs by up to 30%, extend machine life by years, and lower energy bills by identifying inefficiencies.

Secondly, digital twins can minimise disruption. By predicting when a system is likely to fail and scheduling maintenance in advance, you can sidestep the downtime and disruption associated with unexpected failures. As per an ARC Advisory Group study, using digital twins for predictive maintenance can reduce breakdowns by up to 70% and lower maintenance costs by 25%.

Lastly, digital twins can contribute to a more sustainable future. By optimising energy use, digital twins not only reduce costs but also help buildings reduce their carbon footprint—an increasingly important consideration for businesses worldwide.

The potential of digital twins in redefining building operations is enormous. From predictive maintenance to energy efficiency, this technology offers a way to manage buildings proactively, cost-effectively, and sustainably. Isn't it time your building operations got a digital makeover? With Twinview's robust digital twin platform, revolutionising your building operations is just a few clicks away. So, why wait? Embrace the future of building operations today.

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