Why Data Analytics is important for Electricity Management?


Data Analytics

Modern buildings, be it commercial or residential, are becoming data collection centers, that captures temperature and humidity levels, occupancy statistics, device electricity consumption, and other important measurements. Smart buildings equipped with state-of-the-art sensors and meters are becoming more common in today’s society. Energy Management Systems, like Enture by Nebeskie Labs, are helping building owners to monitor and cut down the excess electricity consumption. With advanced metering and building automation systems, the collected data is broken down into many variables that create a large volume of data to analyze. This allows for more targeted analysis to better utilize the resources and make informed decisions.

So, why is data analytics important for electricity management, and what does this mean to building owners and facility managers? Everything. The idea behind such analytics is saving energy and resources and increasing their bottom line.

“An electricity management system is a technology platform, often SaaS, comprised of both hardware and software that allow users to monitor electricity usage and to manually control and automate the use of electricity to reduce electricity consumption and save electricity expenses.”

Smart Building

The role of the facility manager is not just limited to use eco-friendly devices; instead, they could devise a strategic plan using consumption data and analytics to cut down electricity consumption in a sustainable way. With the majority of the world’s energy consumed by commercial buildings, facility managers are facing increasing pressure for environmentally friendly, high-performance buildings that are efficient and sustainable. The data collected within buildings can help them to achieve the desired goal.

Data analytics is part of every successful enterprise. With the development of information and communication technology, an AI-powered IoT platform is now added to the conventional electricity management system for data collection and analysis with the help of the installation of smart meters and sensors. Electricity consumption data is collected across buildings, floors, rooms, devices, and across time duration that is then combined, processed, and optimized.

For example, with the help of data analytics, facility managers can easily identify operational problems such as equipment that needs to be repaired or replaced. Repairs and maintenance can, therefore, be scheduled before an emergency arises, thus eliminating costly short-notice or out-of-hours replacement and avoiding failure and downtime. With this proactive methodology, electrical equipment becomes more reliable, the cost of replacement and repair are much lower, and occupants are assured of optimal comfort.

“Energy Management System provides energy and equipment usage, identifies faults, provides root- cause analysis, and prioritizes opportunities for improvement based on cost, comfort, and maintenance impact.”

Smart Home Automation

With access to detailed information about how much energy you are consuming, it is easier for you to save money by lowering your electricity consumption and energy bills. This is true across residential and commercial energy users. In your home, information on how your energy use changes based on the time of day or time of year can help you save money. You can make changes to appliance use to lower your bill or add energy efficiency technologies to your home to save energy. For commercial energy users, detailed energy data can help you set sustainable energy management goals, identify cost-effective energy efficiency measures, and target efficiency achievements.

Electricity management process

Energy management is the process of assessing, controlling, and conserving energy in a building or organization. Typically, this involves the following steps:

Assess – Doing an electricity consumption analysis across the organization.

Monitor – Monitoring the areas where energy usage is more.

Evaluate – Identifying the inefficiency, finding opportunities to save energy.

Improve – Coming up ways to cut down the wastage.

Validate – Validating the savings with the earlier proposed plan.

Regularly analyzing energy data helps to check that things are not getting worse. It is very normal for unwatched buildings to become less efficient with time, and it is to be expected that equipment will break down or lose efficiency. Facility managers should look at energy data at least once a week, or once a month, to ensure that nothing has gone wrong. It is a lost cause when easy-to-fix faults remain unnoticed for months, leaving a huge energy bill that could have easily been avoided.


Electricity management

Data analytics provides insight on how to fix problems when they are first observed, before total failure. Facility managers can proactively optimize and commission building operations by analyzing electricity consumption data across devices. It enables them to understand why a building is or is not operating efficiently so that they can introduce permanent solutions rather than temporary fixes. This predictive maintenance approach means capital assets can be preserved and help save significant energy expenses.