Data Analytics & Smart Building Science Articles | Buildings IOT Blog

Building equipment plays a critical role in moment-to-moment operations. Without properly functioning equipment, myriad problems could arise. Think about how employee productivity could be affected if the HVAC system is not operating at full capacity, or stopped working completely. A single piece of equipment can have far-reaching effects across an entire enterprise.

The saying “if it ain’t broke, don’t fix it” is often espoused when things are ostensibly performing well. However, this reactive mentality is short-sighted and often leads to premature equipment failure, emergency repair and replacement costs, and significant disruption for building occupants. A smart BMS control system allows you to take a truly proactive, modern approach that extends the useful life of your equipment and supports optimal performance.

The building sector offers plenty of opportunities to improve energy efficiency and reduce greenhouse gas emissions. It is estimated that cost-effective technologies have the potential to cut down building energy usage by more than 20% by 2030. Building energy management through Internet-of-Things (IoT) is one of the most effective ways to integrate, optimize, and control energy consumption by various systems in a smart building. With a smart building platform that enables IoT energy management, building owners, facility managers, and other stakeholders can adopt a strategic approach to reduce electricity bills in a building.

For sensors, actuators, and controllers to function correctly in a building management system (BMS), a common method of data understanding is vital. Communication protocols describe the rules and formats through which data should be transferred over the interconnected network of sensors, actuators, and controllers. The data captured by sensors gets relayed to controllers that manipulate the system through actuators to the required endpoints. A communication protocol lets multiple device manufacturers make sensors, controllers, and actuators "work” together sharing data so an intelligent, actionable outcome can be achieved.

Before the arrival and dissemination of the Internet of Things (IoT) and other smart technologies within the built environment, building systems that controlled climate, lighting, energy, and other aspects affecting operations were siloed. These various systems used disparate protocols that didn’t allow them to communicate with each other. There was little regard for ensuring that they spoke the same “language,” as there was no need for them to do so.  

Implementing fault detection in your building can have many benefits. For example, more than 30% of the energy consumed by commercial buildings in the US is derived from HVAC systems. A large portion of that energy is wasted due to a lack of efficiency. The identification of faults within HVAC systems can reduce energy consumption by 5-15%. That’s a huge amount of savings just from optimizing one component of your building.

However, many buildings have very rigid, rule-based fault detection systems in place. This is problematic because a simple system such as this is only able to identify issues within specific sets of conditions. This places limitations on what types of issues can be identified and the extent to which maintenance can be performed.

The utilization of an intelligent fault detection system can significantly impact not only your energy consumption but also your ROI by identifying anomalies and challenges that affect the health and lifetime of individual components and entire systems. By ensuring that your fault detection and diagnostics are backed by an intelligent solution, you’ll be sure to unlock the full potential of your savings, maintenance, and occupant comfort.

Data models visually represent the data gathered throughout a connected IT system, either in whole or in part to facilitate its storage with easy access from a database. In built environments, the importance of data modeling comes down to the ability of elements within this system to communicate. To better communicate, common definitions should show from where the data comes and what it represents. To ensure understanding and lessen confusion, rules are used to describe elements within the system.

In 2020, the New York State Energy Research and Development Authority (NYSERDA) found that integrating smart technologies and real-time energy management solutions can reduce energy costs by around 15% while boosting ROI and increasing employee productivity. With results like these, it’s no wonder smart buildings are considered the future of the commercial real estate. But smart building energy management system benefits go beyond cost savings.

It’s no secret that commercial buildings have high energy demands. Without energy optimization, this demand puts enormous strain on local power grids, has a significant environmental impact, and eats into profits. That’s why forward-thinking building operators are turning to unified IoT for energy management.

As more buildings become smart, there is a growing need for standardized semantic data models that allows for better data use. The goal of using common data models is to enable a better understanding of a smart building’s data in a continuously changing environment. A robust data ontology framework makes this possible and allows your building management system to become truly intelligent.

Smart buildings offer tremendous benefits. From energy reduction to increased productivity to better occupant experiences, it’s no wonder smart technology is becoming an essential part of modern buildings. But with increased connectivity and each device serving as a potential point of entry, smart buildings are vulnerable to cyber attacks in ways that traditional buildings are not.