Low-Complexity Hierarchical Control for Distributed Shopping Center HVAC

被引：0

作者：

Petersen, Joakim Borlum ^{[1
]}

Bendtsen, Jan Dimon ^{[1
]}

Alleyne, Andrew ^{[2
]}

Stoustrup, Jakob ^{[1
]}

机构：

[1] Aalborg Univ, Dept Elect Syst, Automat & Control, Aalborg, Denmark

[2] Univ Illinois, Mech Sci & Engn Dept, Champaign, IL USA

来源：

IFAC PAPERSONLINE | 2020年 / 53卷 / 02期

关键词：

Hierarchical control; MPC; building control; HVAC; energy management; MODEL-PREDICTIVE CONTROL; SYSTEMS; ENERGY;

D O I：

10.1016/j.ifacol.2020.12.078

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we present a low-complexity hierarchical control approach to fan-coil-based HVAC systems, applicable to shopping centers as exemplified through a case study of a Danish shopping center. Although Model Predictive Control remains the optimal approach performance-wise, we show that we can recover 66 % of the performance with the proposed approach, when considering no model-mismatch for the Model Predictive Controller. The recovered performance comes with the added benefits of increased reusablity and operator transparency, given no dependence on an accurate dynamical model and lower complexity. Copyright (C) 2020 The Authors.

引用

页码：6597 / 6603

页数：7

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