Fast simulation of temperature distribution in air conditioned rooms by using proper orthogonal decomposition

Sempey, Alain; Inard, Christian; Ghiaus, Christian; Allery, Cyrille

doi:10.1016/j.buildenv.2008.03.004

Cited by 67 publications

(29 citation statements)

References 17 publications

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“…When the airflow field is mainly determined by forced convection, as is the case in mechanical ventilation and air-conditioning systems, which is also the precondition of this study, the velocity field may be considered fixed for a small variation range of the inlet air temperature and velocity (Sempey et al 2009). If the buoyancy with density variation caused by temperature could be considered to have little effect on air motion, it is assumed here that a temperature field in a room can be treated as a linear system.…”

Section: Linear System For Synthesizing Temperature Field In a Roommentioning

confidence: 99%

Control of indoor thermal environment based on concept of contribution ratio of indoor climate

2010

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The contribution ratio of indoor climate (CRI) derived from computational fluid dynamics (CFD) was developed to estimate the individual contribution of heat factors to any location inside a room. The CRI index indicates the structure of the temperature field and allows the CFD results to be applied to analysis and design, with more efficient application. In this study, the concept and calculation method for CRI is introduced first. As an example of the application of CRI, a method for predicting temperatures at any point in a room with a small number of temperature sensors based on CRI is developed. The accuracy of the method is examined by comparing the prediction with a coupled simulation of CFD and radiation.

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Section: Linear System For Synthesizing Temperature Field In a Roommentioning

confidence: 99%

Control of indoor thermal environment based on concept of contribution ratio of indoor climate

2010

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“…Thermal comfo rt is generally defined as that condition of mind which expresses satisfaction with the thermal environ ment. Dissatisfaction may be caused by the body being too warm or too cold as a whole, or by unwanted heating or cooling of a particular part of the body.k.c.chung [2]. Study of roo m air distribution is important in many applicat ions, including commercial and residential roo ms, clean roo m manufacturing, electronic and computer roo ms, bio medical research, hospital disease control, and greenhouse and animal agriculture.…”

Section: Ceiling Fan and Space Air DI Ffusermentioning

confidence: 99%

“…Sempey et al [2] has obtained the methodology for temperature distribution in air conditioned rooms focusing on to test the feasibility of the approach. Simp le nu merical study of turbulent flow is done by yongson et al [3], over a n enclosed air conditioning system, the better comfort analysis of occupants in the room is noted by different locations of blower placement.…”

Section: Literature Reviewmentioning

confidence: 99%

Quantification of Air Flow Pattern in Air Conditioned Room – A Review

2014

IJAERD

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“…However, it is not easy to acquire the physical properties of existing buildings for establishing their initial models [6]. A black-box modeling method can describe the model behavior since it is based on the input-output measurements of the building system.…”

Section: Introductionmentioning

confidence: 99%

Modeling of a Building System and its Parameter Identification

Park¹,

Martaj²,

Ruellan³

et al. 2013

Journal of Electrical Engineering and Technology

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-This study proposes a low order dynamic model of a building system in order to predict thermal behavior within a building and its energy consumption. The building system includes a thermally well-insulated room and an electric heater. It is modeled by a second order lumped RC thermal network based on the thermal-electrical analogy. In order to identify unknown parameters of the model, an experimental procedure is firstly detailed. Then, the different linear parametric models (ARMA, ARX, ARMAX, BJ, and OE models) are recalled. The parameters of the parametric models are obtained by the least square approach. The obtained parameters are interpreted to the parameters of the physically based model in accordance with their relationship. Afterwards, the obtained models are implemented in Matlab/Simulink® and are evaluated by the mean of the sum of absolute error (MAE) and the mean of the sum of square error (MSE) with the variable of indoor temperature of the room. Quantities of electrical energy and converted thermal energy are also compared. This study will permit a further study on Model Predictive Control adapting to the proposed model in order to reduce energy consumption of the building.

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Fast simulation of temperature distribution in air conditioned rooms by using proper orthogonal decomposition

Cited by 67 publications

References 17 publications

Control of indoor thermal environment based on concept of contribution ratio of indoor climate

Control of indoor thermal environment based on concept of contribution ratio of indoor climate

Quantification of Air Flow Pattern in Air Conditioned Room – A Review

Modeling of a Building System and its Parameter Identification

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