There are many simple steps to reducing energy consumption in your facility. The most efficient energy saving methods come via effective controls and an intuitive Building Management System (BMS).
Much is written about marginal gains, the small incremental improvements which can be made to any process, where the cumulative gains would end up being hugely significant. Energy saving is one process which can benefit marginal gains. Ensuring lights are off when an office is not in use, for example, can turn small changes into big savings.
Much other energy-intensive equipment is used within a facility, and which adds to a building’s energy consumption. By incorporating this equipment into the controls, facility managers can regulate equipment and optimise building performance. The key for reduced energy consumption is not to control equipment individually, but to integrate systems together, making the right decisions to benefit the internal environment, whilst considering changing external conditions.
In this instance, weather stations and sensors can integrate with a BMS to link to a building’s HVAC system. This allows adjustment of HVAC to manage temperatures and other automated building facilities, such as blinds. This adaptive response within a facility reduces costs and energy usage. It also benefits employee and customer well-being, as well as productivity.
The benefits unlocked by working with a proven controls provider and creating a central controls strategy are vast. By utilising a tailored BMS, facility managers have a central control platform which has the potential to monitor and manage energy, HVAC, lighting, building security, access control, metering, exterior building systems, scheduled maintenance, and much more.
By choosing the right BMS, building managers access data with context. Real-time, on-premise analytical control should be central to a good BMS. With powerful visualisations and user-specific analytical dashboards. This informs rationalised decision making, facility visibility, and total control of data.