  Many countries are facing energy shortage today and most of the global energy
is consumed by HVAC systems in buildings. For the scenarios where the energy
system is not sufficiently supplied to HVAC systems, a priority-based
allocation scheme based on distributed model predictive control is proposed in
this paper, which distributes the energy rationally based on priority order.
According to the scenarios, two distributed allocation strategies, i.e.,
one-to-one priority strategy and multi-to-one priority strategy, are developed
in this paper and validated by simulation in a building containing three zones
and a building containing 36 rooms, respectively. Both priority-based
strategies fully exploit the potential of predictive control solutions. The
experiment shows that our scheme has good scalability and achieve the
performance of centralized strategy while making the calculation tractable.
