Building Energy Management Systems Using Iot Platforms

Building energy management systems permit building managers to be flexible and agile in their approach to energy reduction.

Building energy management systems (BEMS) have appeared as an important application for commercial buildings since the building management system (BMS) introduced energy efficiency. Even though BEMS and BMS are very similar, BEMS is a somewhat more sophisticated commercial energy management system. A BMS allows all designs to be monitored and controlled centrally; a BEMS provides monitoring and information focused on systems involving energy use and demand, which facilities managers can then deed on to save money.

For instance, if a utility declares a demand response event, a BEMS can obtain that external signal and response by sending control instructions to building systems. For example, BEMS may lead lights to dim in certain areas, enhance the temperature setpoint, or shift from utility generation to battery storage to decrease the overall load. BEMS can also monitor, aggregate, and process data at a primary level to inform logic-controlled responses. Unfortunately, while BEMS are beneficial, they are still mainly used in a reactionary manner to address matters after the fact. As a result, organizations rarely use them in such a way that would help predict and improve future building performance.

IoT established an Analytical platform for Building Energy Management solutions.

IoT-established analytics platforms are the latest advancement in commercial building energy management. An IoT-based platform gives facilities managers unprecedented insight into their building systems, allowing them to proactively control operations and the overall building environment. It is more than a control system since the IoT complements conventional building management systems. Understanding where, when, and how their building consumes energy allows facilities managers to implement load-shedding schedules to actively and strategically decrease energy demand (and thus utility costs).

IoT-based platforms can monitor and measure different aspects of your building and bring in different other data intakes to extrapolate anomalies, make correlations, and assist end-users in gaining knowledge to make smart operational decisions that affect the bottom line.

It is likely to design a building's optimal approach to energy management for assured cost savings utilizing the right data variables—collected, correlated, and analyzed by the IoT. This IoT-based strategy is far more efficient for energy management than traditional BMS and BEMS since a commercial building's energy consumption continuously changes based on different dynamic conditions. As a result, there is no static model of energy use. Then, better energy management is based on having the right data at the right time, enabling building managers to be pliant and agile in their energy reduction methods.