Aninnovative strategy for managing the thermal comfort in utility buildings
has been developed in the SMART-project. A pre-emptive, forward-looking
strategy based optimisation using the intelligent agent metaphor is
used, as it is available in the SEBOS-shell. The "SMART"-building software
shell so far has only been tested in a very short experimental field
test.
In
this document, the preparatory activities to cast the building, in which
a two-year experiment will take place, into the SMART-software shell
are described. First, the construction and validation of a physical
model of the building is discussed; then, the experimental data collected
in an 8-month data-monitoring trajectory are treated and conclusions
are drawn as to the performance of the building. Interesting findings
are, that the central and local proportions of cooling and heating in
individual rooms are not as expected from the design. The central heating
and cooling system has the largest effect on realising the inner comfort.
This leads to a smaller impact of user actions on the realised comfort
than users might expect. This especially holds for the process of cooling
in summer.
In the last part, the
SMART-alterations in the strategy of building operation are discussed.
These include introduction of a user voting procedure per room for obtaining
a comfort preference profile over a day, the introduction of building
model physical data and information of persistent signals in calculating
the effect of control actions on the building and its segments on 24-hours
and 4-hour timescales ahead and implementation of an improved strategy
of shutting the window blinds to minimize heat-loss by radiation in
winter.
The document
forms the basis for a rollout in a two-year practical experiment, the
set-up of which is described.