Three years ago, a prominent Norwegian energy company with experience in sustainable energy solutions like gas, coal, and waste-to-energy sought to optimize their operations and resource spend. As a market leader in the Nordic and Baltic regions, the company is committed to providing sustainable and reliable energy solutions. Their mission centers on delivering energy as a service while focusing on environmental responsibility.
The company was looking for solutions helping to minimize downtime during operations, increase response time to technical problems, and increase overall energy efficiency. This strategic action was intended to not only simplify internal operations but also to assist in overall sustainability initiatives across Sweden.
To align themselves with their mission and to make their processes more efficient, the company realized that they required a top-level dashboard for monitoring energy consumption via their extensive network of boiler plants across Norway. The general objectives of this initiative were two-fold:
They wanted the system to support near real-time updates and empower service teams to act fast when issues arose. The data would also support long-term decisions about how best to mix and use energy sources like gas, coal, and waste, depending on the season and demand.
The company faced several challenges:
Incident Detection: Identifying and addressing data transmission issues from boiler plants promptly.
Resource Optimization: Analyzing consumption patterns to optimize the use of coal, waste, and gas for cost efficiency.
Data Integration: Aggregating data from sensors across numerous boiler plants into a centralized system.
Collecting data from sensors installed in boiler plants nationwide and storing it in a centralized database.
Implementing a dashboard that displayed near real-time data (with a 30-minute delay) to service-level engineers responsible for incident management.
Enabling the detection of data transmission interruptions from specific boiler plants, allowing staff to determine whether issues were due to human error or technical malfunctions.
Gathering statistical data to optimize the use of coal, waste, and gas, aiming for maximum cost efficiency.
Building interactive Power BI reports using data from the centralized data lake. These reports provided operational teams and decision-makers with a clear view of usage trends, incident frequency, and seasonal energy performance.
The implementation of the dashboard led to significant improvements:
