Journal Article

FZJ-2021-01744

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Hierarchical Model Predictive Control for Complex Building Energy Systems

Mork, M. (Corresponding author)FZJ* ; Xhonneux, A.FZJ* ; Müller, D.FZJ*

2020
Ernst Berlin

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Please use a persistent id in citations: doi:10.1002/bapi.202000031

Abstract: In this paper, a hierarchical Modelica-based Model Predictive Control (MPC) is presented in order to control complex building energy systems with different dynamics. The hierarchical MPC concept tackles the problem of controlling buildings with slow dynamics such as thermally activated building systems (TABS) and fast actuators such as air handling units (AHUs). It further addresses prediction errors of system disturbances (e.g. weather, occupancy) and ensures anticipation, reactivity and real-time capability. The benefits compared to single MPC, Rule-Based-Control (RBC) and Proportional-Integrative-Derivative (PID) strategies are demonstrated in simulations on Modelica models including detailed models for solar shading and visual comfort.

Note: Kein Zugriff auf Post-print

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Contributing Institute(s):

1. Modellierung von Energiesystemen (IEK-10)

Research Program(s):

1. 153 - Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security (POF3-153) (POF3-153)

Appears in the scientific report 2021

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Database coverage:
Clarivate Analytics Master Journal List ; DEAL Wiley ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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