Model Predictive Control for Smart Buildings to Provide the Demand Side Flexibility in the Multi-Carrier Energy Context: Current Status, Pros and Cons, Feasibility and Barriers

Yi Zong*, Wenjing Su, Jiawei Wang, Jakub Krzysztof Rodek, Chuhao Jiang, Morten Herget Christensen, Shi You, You Zhou, Shujun Mu

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

In this paper, a state of the art review of model predictive control (MPC) for smart buildings to provide demand side flexibility with the purpose of enhancing a high penetration of renewables into the integrated energy systems is carried, including MPC current development status, pros and cons, implementation feasibility and practice barriers. A two-layer hierarchical MPC-based controller is proposed in a case study for a newly-built multi-family building in Copenhagen. The simulation results show that buildings, as a flexible load to the multi-carrier energy system, whose thermal mass is a heat buffer with a large storage potential, can contribute to the grid ancillary services (load shifting or flexibility), based on the economic incentives that the energy/flexibility market offers to end-users.
Original languageEnglish
JournalEnergy Procedia
Volume158
Pages (from-to)3026-3031
ISSN1876-6102
DOIs
Publication statusPublished - 2019
Event10th International Conference on Applied Energy - Hong Kong Polytechnic University, Hong Kong, Hong Kong
Duration: 22 Aug 201825 Aug 2018
http://www.applied-energy.org/icae2018/

Conference

Conference10th International Conference on Applied Energy
LocationHong Kong Polytechnic University
CountryHong Kong
CityHong Kong
Period22/08/201825/08/2018
Internet address

Keywords

  • Demand side flexibility
  • Energy management system
  • Model predictive control
  • Multi-carrier energy systems
  • Smart buildings

Cite this

@article{d646576a5f9944ed91da10a09f75b10d,
title = "Model Predictive Control for Smart Buildings to Provide the Demand Side Flexibility in the Multi-Carrier Energy Context: Current Status, Pros and Cons, Feasibility and Barriers",
abstract = "In this paper, a state of the art review of model predictive control (MPC) for smart buildings to provide demand side flexibility with the purpose of enhancing a high penetration of renewables into the integrated energy systems is carried, including MPC current development status, pros and cons, implementation feasibility and practice barriers. A two-layer hierarchical MPC-based controller is proposed in a case study for a newly-built multi-family building in Copenhagen. The simulation results show that buildings, as a flexible load to the multi-carrier energy system, whose thermal mass is a heat buffer with a large storage potential, can contribute to the grid ancillary services (load shifting or flexibility), based on the economic incentives that the energy/flexibility market offers to end-users.",
keywords = "Demand side flexibility, Energy management system, Model predictive control, Multi-carrier energy systems, Smart buildings",
author = "Yi Zong and Wenjing Su and Jiawei Wang and Rodek, {Jakub Krzysztof} and Chuhao Jiang and Christensen, {Morten Herget} and Shi You and You Zhou and Shujun Mu",
year = "2019",
doi = "10.1016/j.egypro.2019.01.981",
language = "English",
volume = "158",
pages = "3026--3031",
journal = "Energy Procedia",
issn = "1876-6102",
publisher = "Elsevier",

}

Model Predictive Control for Smart Buildings to Provide the Demand Side Flexibility in the Multi-Carrier Energy Context: Current Status, Pros and Cons, Feasibility and Barriers. / Zong, Yi; Su, Wenjing; Wang, Jiawei; Rodek, Jakub Krzysztof; Jiang, Chuhao; Christensen, Morten Herget; You, Shi; Zhou, You; Mu, Shujun.

In: Energy Procedia, Vol. 158, 2019, p. 3026-3031.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Model Predictive Control for Smart Buildings to Provide the Demand Side Flexibility in the Multi-Carrier Energy Context: Current Status, Pros and Cons, Feasibility and Barriers

AU - Zong, Yi

AU - Su, Wenjing

AU - Wang, Jiawei

AU - Rodek, Jakub Krzysztof

AU - Jiang, Chuhao

AU - Christensen, Morten Herget

AU - You, Shi

AU - Zhou, You

AU - Mu, Shujun

PY - 2019

Y1 - 2019

N2 - In this paper, a state of the art review of model predictive control (MPC) for smart buildings to provide demand side flexibility with the purpose of enhancing a high penetration of renewables into the integrated energy systems is carried, including MPC current development status, pros and cons, implementation feasibility and practice barriers. A two-layer hierarchical MPC-based controller is proposed in a case study for a newly-built multi-family building in Copenhagen. The simulation results show that buildings, as a flexible load to the multi-carrier energy system, whose thermal mass is a heat buffer with a large storage potential, can contribute to the grid ancillary services (load shifting or flexibility), based on the economic incentives that the energy/flexibility market offers to end-users.

AB - In this paper, a state of the art review of model predictive control (MPC) for smart buildings to provide demand side flexibility with the purpose of enhancing a high penetration of renewables into the integrated energy systems is carried, including MPC current development status, pros and cons, implementation feasibility and practice barriers. A two-layer hierarchical MPC-based controller is proposed in a case study for a newly-built multi-family building in Copenhagen. The simulation results show that buildings, as a flexible load to the multi-carrier energy system, whose thermal mass is a heat buffer with a large storage potential, can contribute to the grid ancillary services (load shifting or flexibility), based on the economic incentives that the energy/flexibility market offers to end-users.

KW - Demand side flexibility

KW - Energy management system

KW - Model predictive control

KW - Multi-carrier energy systems

KW - Smart buildings

U2 - 10.1016/j.egypro.2019.01.981

DO - 10.1016/j.egypro.2019.01.981

M3 - Journal article

VL - 158

SP - 3026

EP - 3031

JO - Energy Procedia

JF - Energy Procedia

SN - 1876-6102

ER -