Handling thermal comfort in economic model predictive control schemes for demand response

Theis Heidmann Pedersen; Michael Dahl Knudsen; Rasmus Elbæk Hedegaard; Steffen Petersen

doi:10.1016/j.egypro.2017.07.458

Handling thermal comfort in economic model predictive control schemes for demand response

Theis Heidmann Pedersen^*, Michael Dahl Knudsen, Rasmus Elbæk Hedegaard, Steffen Petersen

^*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Conference article › Research › peer-review

6 Citations (Scopus)

163 Downloads (Pure)

Abstract

Addressing thermal comfort is an important aspect of applying economic model predictive control (E-MPC) schemes with the objective to perform demand response (DR), e.g. minimize operational cost. This paper compares the performance of four E-MPC schemes using both single-objective and multi-objective formulations to address thermal comfort. It is difficult to proclaim the superior formulation as the notion of thermal comfort is a subjective matter. However, the single-objective problem formulation proposed in this paper contains a parameter, ϵ _max, which describes the maximum acceptable deviations from the preferred indoor air temperature. This parameter can be regarded as a user-defined indicator of the acceptable deviations from the preferred temperature or, in other words, their 'DR willingness'.

Original language	English
Journal	Energy Procedia
Volume	122
Pages (from-to)	985-990
Number of pages	6
ISSN	1876-6102
DOIs	https://doi.org/10.1016/j.egypro.2017.07.458
Publication status	Published - Sept 2017
Event	Cisbat 2017 - Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland Duration: 6 Sept 2017 → 8 Sept 2017 https://cisbat.epfl.ch/sessions.html#T5

Conference

Conference	Cisbat 2017
Location	Swiss Federal Institute of Technology Lausanne
Country/Territory	Switzerland
City	Lausanne
Period	06/09/2017 → 08/09/2017
Internet address	https://cisbat.epfl.ch/sessions.html#T5

Keywords

Demand Response
Economic model predictive control
Multi objective optimization
Single objective optimization
Themal comfort

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10.1016/j.egypro.2017.07.458Licence: CC BY-NC-ND

1-s2.0-S1876610217334148-mainFinal published version, 668 KBLicence: CC BY-NC-ND

Cite this

@inproceedings{adb3d85ed0b5422eaf62dcf9615e8aed,

title = "Handling thermal comfort in economic model predictive control schemes for demand response",

abstract = "Addressing thermal comfort is an important aspect of applying economic model predictive control (E-MPC) schemes with the objective to perform demand response (DR), e.g. minimize operational cost. This paper compares the performance of four E-MPC schemes using both single-objective and multi-objective formulations to address thermal comfort. It is difficult to proclaim the superior formulation as the notion of thermal comfort is a subjective matter. However, the single-objective problem formulation proposed in this paper contains a parameter, ϵ max, which describes the maximum acceptable deviations from the preferred indoor air temperature. This parameter can be regarded as a user-defined indicator of the acceptable deviations from the preferred temperature or, in other words, their 'DR willingness'.",

keywords = "Demand Response, Economic model predictive control, Multi objective optimization, Single objective optimization, Themal comfort",

author = "Pedersen, {Theis Heidmann} and Knudsen, {Michael Dahl} and Hedegaard, {Rasmus Elb{\ae}k} and Steffen Petersen",

year = "2017",

month = sep,

doi = "10.1016/j.egypro.2017.07.458",

language = "English",

volume = "122",

pages = "985--990",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier Ltd",

note = "Cisbat 2017 ; Conference date: 06-09-2017 Through 08-09-2017",

url = "https://cisbat.epfl.ch/sessions.html#T5",

}

Handling thermal comfort in economic model predictive control schemes for demand response. / Pedersen, Theis Heidmann; Knudsen, Michael Dahl; Hedegaard, Rasmus Elbæk et al.
In: Energy Procedia, Vol. 122, 09.2017, p. 985-990.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Conference article › Research › peer-review

TY - GEN

T1 - Handling thermal comfort in economic model predictive control schemes for demand response

AU - Pedersen, Theis Heidmann

AU - Knudsen, Michael Dahl

AU - Hedegaard, Rasmus Elbæk

AU - Petersen, Steffen

PY - 2017/9

Y1 - 2017/9

N2 - Addressing thermal comfort is an important aspect of applying economic model predictive control (E-MPC) schemes with the objective to perform demand response (DR), e.g. minimize operational cost. This paper compares the performance of four E-MPC schemes using both single-objective and multi-objective formulations to address thermal comfort. It is difficult to proclaim the superior formulation as the notion of thermal comfort is a subjective matter. However, the single-objective problem formulation proposed in this paper contains a parameter, ϵ max, which describes the maximum acceptable deviations from the preferred indoor air temperature. This parameter can be regarded as a user-defined indicator of the acceptable deviations from the preferred temperature or, in other words, their 'DR willingness'.

AB - Addressing thermal comfort is an important aspect of applying economic model predictive control (E-MPC) schemes with the objective to perform demand response (DR), e.g. minimize operational cost. This paper compares the performance of four E-MPC schemes using both single-objective and multi-objective formulations to address thermal comfort. It is difficult to proclaim the superior formulation as the notion of thermal comfort is a subjective matter. However, the single-objective problem formulation proposed in this paper contains a parameter, ϵ max, which describes the maximum acceptable deviations from the preferred indoor air temperature. This parameter can be regarded as a user-defined indicator of the acceptable deviations from the preferred temperature or, in other words, their 'DR willingness'.

KW - Demand Response

KW - Economic model predictive control

KW - Multi objective optimization

KW - Single objective optimization

KW - Themal comfort

U2 - 10.1016/j.egypro.2017.07.458

DO - 10.1016/j.egypro.2017.07.458

M3 - Conference article

SN - 1876-6102

VL - 122

SP - 985

EP - 990

JO - Energy Procedia

JF - Energy Procedia

T2 - Cisbat 2017

Y2 - 6 September 2017 through 8 September 2017

ER -

Handling thermal comfort in economic model predictive control schemes for demand response

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Keywords

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