User Manual

6
2 Basics
2.1 Heating system
All buildings interact dynamically with the environment.
This thermal interaction can be determined and described with the aid of energy
balance and heat transport equations. They form the basis for heating system and
associated heat output design. A heating system aims at providing the required
thermal comfort at the lowest possible energy consumption. An optimized control
strategy for heating is based on an as accurate as possible determination of
current and future heat demand. To do this, the heat outputs must be described in
the energy balance by means of measurable variables using models. Only
intelligent applications can carry out such sophisticated tasks.
2.2 Conventional heating controllers
Conventional control algorithms to heat a room, zone, or building section are based
on the following elements:
– Heating curve for weather-dependent flow temperature control
– Heating limit switch to switch on and off heating
– Switch-on/-off optimization for the longest possible temperature setback during
heating
– Scheduler program for room operating modes to define room temperature
setpoints adequate to demand
Conventional heating controllers often do not sufficiently account for a building's
overall performance. Excessive heating or cooling phases do occur. These
situations result in greater energy consumption and suboptimal comfort.
Predictive heating control replaces four control elements with just one function. To
this end, one single building model with one single parameter set is used.