Network design
Thermal networks are an important solution for reducing primary energy use for heating and cooling. However, designing an optimal thermal network is complex due to the large number of variables involved. Manual or intuitive approaches often result in suboptimal solutions. Therefore, advanced optimisation methods are essential.
At EnergyVille, we develop next-generation network topology optimisation techniques based on geospatial information, such as the location of energy sources, energy users and thermal storage systems.
Using this information, we can determine:
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The optimal routing of thermal network pipelines
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The optimal temperature levels within the network
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The optimal location of storage and conversion units
Smart Network Analysis
Substations connect thermal networks to buildings and industrial installations. They typically consist of heat exchangers, piping, valves, control systems and a limited number of sensors. Faults or inefficiencies in these substations can increase the return temperature of the network, reducing energy efficiency and negatively affecting low-temperature operation. In practice, such issues are widespread. Studies have shown that up to 75% of installed substations exhibit some form of faulty behaviour.
Data-Driven Fault Detection
To identify these issues quickly, EnergyVille develops automated methods for fault detection, fault diagnosis and fault correction based on big data analytics. By integrating this intelligence into substation and network controllers, inefficiencies can be detected remotely and at an early stage. This helps reduce maintenance and operational costs for both service providers and network operators.
Improving Network Efficiency
In addition, we develop methods to significantly lower return temperatures in heating networks. This reduces thermal losses and improves the overall efficiency of connected energy systems.
