Operations Optimization
Return temperature, temperature reduction, monitoring and digital twin
Operations optimization unlocks efficiency reserves in the running network – above all through lower return and network temperatures. Monitoring and digital twins reveal weak points and allow operating modes to be adjusted on a data basis. This topic area covers return temperature, temperature reduction, monitoring and the digital twin.
4 articles in this category
Return Temperature Optimization
Excess consumption method, influence on return temperature and incentive tariffs: Systematic optimization of customer integration
Temperature Reduction in Existing Networks
Measures for reducing supply and return temperatures in existing thermal networks: Low-temperature compatibility and subnetworks
Digital Twin and Monitoring
Operations monitoring, active load management and digital twin: Digital tools for the optimization of thermal networks
Operations Optimization of Heat Substations
Efficiency measures, pump optimization and customer-side optimization: Practical approaches to improving the operation of thermal networks
Overview: Operations Optimization
The articles in this topic area are aimed at operators of existing heat networks and at planners converting networks for more efficient operation. The central question is which measures reduce heat losses, pumping energy and generation costs during operation without compromising security of supply.
A key lever is the return temperature: the article shows how consumers with unfavourable return temperatures can be identified using the excess consumption method and which incentive tariffs help. Temperature reduction in existing networks describes measures, the low-temperature compatibility of connected buildings and the route via subnetworks. The article on heat substations adds the generation side with pumps, insulation, waste heat recovery and control.
Every optimization requires reliable operating data. The article on digital twin and monitoring covers data acquisition, active load management and the use of a calibrated network model with which measures can be evaluated before they are implemented. Operating data thus feed back into planning, for example for network extensions or the transition to lower temperatures.