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Showing posts from February, 2021

The impact of digital twins on commercial and industrial HVAC

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  Monitoring, maintaining, and repairing  commercial HVAC systems  can be a complex process. Depending on how old the HVAC system is, there are often many parts, vents, fans, and coils, and if one component breaks it can affect the entire system. When your HVAC system breaks down it causes major disruptions, both to you as the owner and to staff or tenants in your building. Not to mention, getting a repair person on site as soon as possible can leave you with a big bill.  You may have heard about digital twins for HVAC systems. But what exactly is a digital twin, and how does it work? A digital twin is a virtual copy of a physical object. For example, your heating systems contain multitudes of data about their performance, past usage, and other analytics. A digital twin is a virtual copy of all your heating system’s data, including maintenance records, service records, operating system, and every other piece of data available. Digital twins give you easy access to the most comprehe

Faulty HVAC? You need big data

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  Are you a property owner looking for commercial HVAC solutions for your buildings? Anyone who owns commercial property knows that faulty HVAC systems can cause major disruptions and result inexpensive costs. Not only that, but faulty HVAC systems interrupt the people who are in the buildings, like employees in an office building, and can have a major impact on productivity and comfort. It’s very cold this time of year, which means it’s unacceptable to have continual problems with your heating systems.  Additionally, commercial property owners are under pressure to use more energy-efficient technologies and reduce their energy consumption where possible. Older, less efficient HVAC systems can be wasteful, susceptible to breaking down from time to time, and often costly to run.  What is Big Data, and how can it help? Big Data uses analytics gathered from your commercial buildings’ HVAC systems and other electrical systems to find historical trends, analyze and identify cause-and-