Regulatory standards are becoming more and more complex and require extensive documentation – even contingency plans for the unexpected. District energy utilities are moreover expected to reduce energy consumption and CO2 emissions. Another major challenge is to minimize the energy loss of energy supplied to the network. Most district energy utilities operate at a constant supply temperature despite fluctuations in demand and changing weather conditions.
District Energy Management is a hydraulic modeling tool, which simulates flow, pressure and thermal behavior in your distribution network. Unlike other tools, District Energy Management uses real-time data to analyze and track the current situation. This enables operators to make better and smarter decisions and to optimize production and enhance your economic performance.
Minimize heat losses and maximize heat/cooling storage capacity, all in real time.
See operation and maintenance impacts in advance, making it easier to choose the best option for a smooth and risk-less operation.
Predict the network behavior and see what will happen before it happens.
Reach where SCADA does not, with virtual sensors and network-wide monitoring.
Give existing software systems new functionalities.
No in-depth hydraulic knowledge needed.
Proven solution, proven results
You can design your network to meet future demands, avoid bottlenecks, and comply with regulations. While optimizing your investment, you are also improving the service, increasing customer satisfaction, and reducing operating costs.
The staff can click on any object in the network to check data such as pressure or temperature at a specific location and can give instant answers to customer inquiries. Alarm set points for all parameters can be configured.
Like automobile GPS navigation, District Energy Management software will immediately warn you of future problems in the network, no matter which turn you take.
Transform your network management approach from reactive to proactive, with better operations and maintenance planning for risk reduction.