One of the primary goals of integration in smart buildings is providing a unified outlook that facilitates robust historical data analysis. Integration architecture must be designed to support the analysis of data flowing from multiple systems, and this data must be unadulterated, wide-ranging, obedient to a set of rules, reliable, and up-to-date. This requires standardization when the architecture is first designed, and again once when deployed.
Taking advantage of advancements in building automation applications requires the integration of operational technology (OT) system data into the enterprise (IT) side of smart buildings. Converging networks ensures seamless flow of data across interconnected building systems and allows for ongoing monitoring, analysis, and automation of the physical operational environment. Ultimately, IT and OT convergence benefits all stakeholders and allows you to make the most of smart technologies.
Commercial buildings account for about 35% of all electricity consumed in the United States, and about 30% of the energy used is wasted. That means there is enormous untapped potential for savings. Exploring the latest energy conservation techniques in buildings can help you discover the best ways to harness that potential and reap the benefits of improved efficiency in your Building Energy Management programs.
An increasing number of US states are legalizing cannabis for medical and recreational use, with just over half of the commercial supply provided by indoor cannabis cultivation. Energy use data from these indoor growing operations shows how energy-intensive the industry is. One recent study found that for each kilogram (about 2.2 lbs.) of cannabis produces anywhere from 2.3 to 5.2 metric tons of greenhouse gases. In Colorado, the state’s coal industry actually emits less greenhouse gas than the cannabis sector.
Making your building smart leads to significant improvements in efficiency, occupant comfort, and performance. But smart technology means more connectivity, and more connectivity means new vulnerabilities.
Many discussions about greenhouse emissions tend to revolve around transportation and manufacturing. But a huge proportion of energy used in the United States is used by buildings. In fact, buildings account for about 35% of electricity consumed and a similar portion of greenhouse emissions.
Smart buildings require communication. Open-source data tagging standards make that communication seamless and ensure interoperability of components, regardless of who developed the software or manufactured the devices. Introducing standard ways in which to describe various elements within a building, along with their relationships to each other, makes integration of new technologies easier—and more useful—than ever before.
The increasing connectivity of building control systems and the growing complexity of smart buildings has drastically increased the potential for IoT cybersecurity vulnerabilities. According to a 2019 report, nearly 40% of computers used in smart buildings automation control were affected by malicious cyberattacks in the first half of the year—and cybercrime shows no signs of stopping.
It’s common knowledge that outdoor air pollution can have a significant impact on human health. Yet, contaminant levels indoors can often be two to five times higher than those outside. When you take into account that most people spend about 90% of their time indoors, it becomes clear that indoor air quality must be a top priority to protect the health and well-being of building occupants. And perhaps nowhere is this more true than in educational settings.
In smart buildings, devices, software, and building equipment must work together seamlessly. This requires unifying several naming and tagging standards currently used for building automation. While a seemingly simple issue, many data modeling approaches create roadblocks to real-world application of building data. But there is a better way. The Ontology Alignment Project lets you harness the full potential of building data, allows smart solutions to evolve and grow, and supports better performance and efficiency.