KMS energy consultancy provides comprehensive simulation services for steam, heating, and cooling networks, supporting the analysis, optimization, and operational reliability of industrial thermal energy systems. Our methodology combines on-site verification with advanced static and dynamic modeling to deliver accurate, decision-supporting insights across the full range of thermal utilities.
Scope of Work
Field Verification Visit
A site visit is conducted to verify the location and configuration of key components within the steam, heating, and cooling networks. This includes validation of estimated pipeline lengths, network topology, and critical interface points, ensuring alignment between the physical installation and the simulation models.
Static Network Simulation
Static simulation models are developed for the steam, heating, and cooling systems based on the generation units and thermal consumers provided by the client. Each model includes a comprehensive energy balance to validate calculation results and ensure consistency across the network.
The simulations provide detailed outputs for pressure, temperature, mass flow, and thermal capacity at critical points under normal operating conditions as well as alternative operational modes (including VHPS operation where applicable). Static models are delivered in Excel format to ensure transparency, traceability, and ease of further analysis by the client.
Dynamic Simulation of Upset Scenarios
For predefined upset or disturbance scenarios, dynamic simulations are performed to assess transient system behavior across steam, heating, and cooling networks. These simulations generate time-dependent pressure and temperature transients, providing insight into system stability, controllability, and operational limits.
Temperature transients within the dynamic models are primarily influenced by:
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Heat gains and losses to the surrounding environment
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The dynamic response of thermal generation units, chillers, heat exchangers, and injection-water desuperheaters (where applicable and where dynamic characteristics are available)
Parameter Estimation (Optional)
Where critical system parameters are unknown or insufficiently defined, parameter estimation can be performed using available operational and field data. The need and scope of parameter estimation are assessed on a case-by-case basis, as the required effort is highly dependent on system complexity and data availability. Parameter estimation is therefore excluded from the base scope and addressed separately.