Provide occupants with real-time data on their energy consumption, through mobile apps or dashboards, encourage behavioural changes

Benchmark performance against similar buildings or industry standards, identify areas for improvement and set realistic energy efficiency goals

Adjust HVAC, lighting, and appliances in real-time based on data insights, ensure optimal energy efficiency and occupant comfort

Predict future energy demand and optimise energy usage based on various factors, eg. weather conditions, occupancy levels, and time-of-day pricing

Provide valuable insights to decisions of equipment upgrade, retrofit buildings, or invest in renewable energy systems

Identify areas with the greatest potential for energy savings, prioritise investments for maximum impact

Better prepare for potential future challenges, such as stricter energy efficiency requirements or increased demand charges

Mitigate risks associated with fluctuating energy prices, regulatory changes, and grid instability

Automated workflows and smart controls can adjust energy usage in real-time based on price signals or grid conditions

Adjusting HVAC settings or lightings during off-peak hours, smart buildings can minimise their energy costs

Maintain optimal comfort levels for occupants while reducing energy consumption during peak periods, a better indoor environment

Benefits the building owners and occupants but also contributes to a more resilient and sustainable energy system

create personalised settings for individual occupants or zones within a building, on a preferences or schedule

Provide adaptive lighting control based on occupancy, daylight availability, and user preferences

Automatically adjust HVAC systems, ensure a comfortable indoor climate that supports occupant well-being and productivity

Sensor data to optimise ventilation systems, ensuring a healthy indoor environment with good air quality for better cognitive function

Maintain optimal building performance and ensures that potential issues are identified and addressed promptly

Generates valuable data that can be analysed to uncover patterns, trends, and inefficiencies. Respond to changing energy and facility management needs

Assess the impact by comparing maintenance costs and asset downtime before and after implementation

Measure the impact by tracking key performance indicators (KPIs) equipment downtime, maintenance costs, and overall equipment effectiveness (OEE)