Abstract
This chapter focuses on advanced control design, specifically for forced air HVAC systems. Such advanced control schemes incorporate predictions of weather, occupancy, renewable energy availability, and energy price signals in order to deliver performance-driven automated decision making at a hierarchy of levels. The chapter covers thermal modeling for controls, predictive control design, and implementation of such controllers in real-world buildings. An overview of standard computational platforms and communication systems in buildings is reported. Our main objective is to discuss how advanced control relates to the existing building practices; in particular, a distributed control logic “Trim and Respond” is described in detail. The “Trim and Respond” logic is shown to match a one-step explicit distributed model predictive controller. The chapter concludes with an algorithm for advanced distributed model predictive control that is implementable on existing distributed building control architectures.
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