Desiccant wheel thermal performance modeling for indoor humidity optimal control

Nan Wang; Jiangfeng Zhang; Xiaohua Xia

doi:10.1016/j.apenergy.2013.03.060

Desiccant wheel thermal performance modeling for indoor humidity optimal control

Nan Wang, Jiangfeng Zhang, Xiaohua Xia

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

34 Citations (Scopus)

Abstract

Thermal comfort is an important concern in the energy efficiency improvement of commercial buildings. Thermal comfort research focuses mostly on temperature control, but humidity control is an important aspect to maintain indoor comfort too. In this paper, an optimal humidity control model (OHCM) is presented. Model predictive control (MPC) strategy is applied to implement the optimal operation of the desiccant wheel during working hours of a commercial building. The OHCM is revised to apply the MPC strategy. A case is studied to illustrate the practical applications of the MPC strategy.

Original language	English
Number of pages	7
Journal	Applied Energy
Early online date	15 Apr 2013
DOIs	https://doi.org/10.1016/j.apenergy.2013.03.060
Publication status	Published - 2013

Keywords

desiccant wheel
thermal performance modeling
indoor humidity
model predictive control
humidity control

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.apenergy.2013.03.060

Cite this

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title = "Desiccant wheel thermal performance modeling for indoor humidity optimal control",

abstract = "Thermal comfort is an important concern in the energy efficiency improvement of commercial buildings. Thermal comfort research focuses mostly on temperature control, but humidity control is an important aspect to maintain indoor comfort too. In this paper, an optimal humidity control model (OHCM) is presented. Model predictive control (MPC) strategy is applied to implement the optimal operation of the desiccant wheel during working hours of a commercial building. The OHCM is revised to apply the MPC strategy. A case is studied to illustrate the practical applications of the MPC strategy.",

keywords = "desiccant wheel, thermal performance modeling, indoor humidity, model predictive control, humidity control",

author = "Nan Wang and Jiangfeng Zhang and Xiaohua Xia",

year = "2013",

doi = "10.1016/j.apenergy.2013.03.060",

language = "English",

journal = "Applied Energy",

}

TY - JOUR

T1 - Desiccant wheel thermal performance modeling for indoor humidity optimal control

AU - Wang, Nan

AU - Zhang, Jiangfeng

AU - Xia, Xiaohua

PY - 2013

Y1 - 2013

N2 - Thermal comfort is an important concern in the energy efficiency improvement of commercial buildings. Thermal comfort research focuses mostly on temperature control, but humidity control is an important aspect to maintain indoor comfort too. In this paper, an optimal humidity control model (OHCM) is presented. Model predictive control (MPC) strategy is applied to implement the optimal operation of the desiccant wheel during working hours of a commercial building. The OHCM is revised to apply the MPC strategy. A case is studied to illustrate the practical applications of the MPC strategy.

AB - Thermal comfort is an important concern in the energy efficiency improvement of commercial buildings. Thermal comfort research focuses mostly on temperature control, but humidity control is an important aspect to maintain indoor comfort too. In this paper, an optimal humidity control model (OHCM) is presented. Model predictive control (MPC) strategy is applied to implement the optimal operation of the desiccant wheel during working hours of a commercial building. The OHCM is revised to apply the MPC strategy. A case is studied to illustrate the practical applications of the MPC strategy.

KW - desiccant wheel

KW - thermal performance modeling

KW - indoor humidity

KW - model predictive control

KW - humidity control

U2 - 10.1016/j.apenergy.2013.03.060

DO - 10.1016/j.apenergy.2013.03.060

M3 - Article

JO - Applied Energy

JF - Applied Energy

ER -

Desiccant wheel thermal performance modeling for indoor humidity optimal control

Abstract

Keywords

UN SDGs

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