Low-complexity hierarchical control for distributed shopping center HVAC

Joakim Borlum Petersen; Jan Dimon Bendtsen; Andrew Alleyne; Jakob Stoustrup

doi:10.1016/j.ifacol.2020.12.078

Low-complexity hierarchical control for distributed shopping center HVAC

Joakim Borlum Petersen, Jan Dimon Bendtsen, Andrew Alleyne, Jakob Stoustrup

Research output: Contribution to journal › Conference article › peer-review

Abstract

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.

Original language	English (US)
Pages (from-to)	6597-6603
Number of pages	7
Journal	IFAC-PapersOnLine
Volume	53
Issue number	2
DOIs	https://doi.org/10.1016/j.ifacol.2020.12.078
State	Published - 2020
Externally published	Yes
Event	21st IFAC World Congress 2020 - Berlin, Germany Duration: Jul 12 2020 → Jul 17 2020

Bibliographical note

Publisher Copyright:
Copyright © 2020 The Authors. This is an open access article under the CC BY-NC-ND license

Keywords

Building control
Energy management
HVAC
Hierarchical control
MPC

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10.1016/j.ifacol.2020.12.078

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title = "Low-complexity hierarchical control for distributed shopping center HVAC",

abstract = "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.",

keywords = "Building control, Energy management, HVAC, Hierarchical control, MPC",

author = "Petersen, {Joakim Borlum} and Bendtsen, {Jan Dimon} and Andrew Alleyne and Jakob Stoustrup",

note = "Publisher Copyright: Copyright {\textcopyright} 2020 The Authors. This is an open access article under the CC BY-NC-ND license; 21st IFAC World Congress 2020 ; Conference date: 12-07-2020 Through 17-07-2020",

year = "2020",

doi = "10.1016/j.ifacol.2020.12.078",

language = "English (US)",

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pages = "6597--6603",

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TY - JOUR

T1 - Low-complexity hierarchical control for distributed shopping center HVAC

AU - Petersen, Joakim Borlum

AU - Bendtsen, Jan Dimon

AU - Alleyne, Andrew

AU - Stoustrup, Jakob

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Building control

KW - Energy management

KW - HVAC

KW - Hierarchical control

KW - MPC

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U2 - 10.1016/j.ifacol.2020.12.078

DO - 10.1016/j.ifacol.2020.12.078

M3 - Conference article

AN - SCOPUS:85105099982

SN - 2405-8963

VL - 53

SP - 6597

EP - 6603

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 2

T2 - 21st IFAC World Congress 2020

Y2 - 12 July 2020 through 17 July 2020

ER -

Low-complexity hierarchical control for distributed shopping center HVAC

Abstract

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Keywords

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