Advanced systems in DHC

Gain a deeper understanding of a DHC operation and performance

This module aims to provide an in-depth exploration of DHC networks. It delivers critical insights and practical knowledge designed to optimize the performance of these networks. It focusses on the improvement of the hydronic systems at the building level, detecting and diagnosing system malfunctions, developing dynamic models for better system understanding, and implementing advanced control strategies. Additionally, the module emphasizes optimization techniques that enable more effective resource management and enhanced overall network performance. Through this exploration, the module seeks to equip professionals with the tools needed to maximize the reliability, efficiency, and sustainability of DHC networks.

Prerequisite knowledge to complete the module include understanding the classic operation of a network (module 2), basic thermodynamics, basic heat transfer, basic fluid mechanics and basics of algorithms.

Main topics covered in the module

  • The current state of DHC in Europe
  • How to improve DHC network performances
  • Improvement on buildings side hydronic systems
  • Detection of malfunctions
  • Dynamic modelling
  • Control & optimization
  • Learning Outcomes (skills and competences)
  • Define the consequences of non-optimal network operation
  • Identify the main causes of non-optimal network operation
  • Identify solutions for improving operation
  • Apply simple fault detection indicators

Learning Outcomes (skills and competences)

Upon completion of this module, learners will be able to:

  • Define the consequences of non-optimal network operation
  • Understand the need for most performing DHC
  • Identify the main causes of non-optimal network operation
  • Identify solutions for improving operation
  • Apply simple fault detection indicators
  • Created a simple DHC model
Modul Details

Module 5
Lenght: 8, 15 hours lecture time together with exercises
Format: e-learning material (for independent and guided learning) and printable pdf
Availability: September 2025 (public)
Developing team: PSL