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In this paper, we propose a situation-aware adaptation model to represent and improve the control system in intelligent buildings for optimization of energy consumption. Our proposed approach uses the contextual information obtained from sensor devices to reason about real-time situations. This information is used by the building control system to dynamically optimize the energy consumption. The proposed approach provides intelligent buildings the capability to control parameters such as lighting and temperature according to the situational changes of the environment. To illustrate the benefits of this approach in terms of energy savings, we have simulated an office room control system to control the heating, ventilation and air conditioning system (HVAC) using coloured Petri Nets.

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