Comparative study of neighbor communication approaches for distributed model predictive control in building energy systems

Marc Baranski, Lina Meyer, Johannes Fütterer and Dirk Müller

Energy, 2019, vol. 182, issue C, 840-851

Abstract: Model predictive control (MPC), although considered a high-potential control approach, usually requires considerable effort for model-creation and parametrization. Moreover, many models can be too computationally intensive for control applications. Distributed model predictive control (DMPC) is a promising approach that avoids the construction of a complex model of the total system and thus facilitates modeling and supports the use of exact simulation models.

Keywords: Building energy systems; Distributed control; HVAC; Model-based control; Modelica; ANN (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:182:y:2019:i:c:p:840-851

DOI: 10.1016/j.energy.2019.06.037

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