Evaluation of the indoor temperature field using a given air velocity distribution

Ghiaus, Christian; Ghiaus, Adrian-Gabriel

doi:10.1016/s0360-1323(98)00051-1

Cited by 9 publications

(5 citation statements)

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“…a cor ¼ (u e Àu w )/ Dx+(v n Àv s )/Dy is a term of correction introduced to take into account the insufficient convergence of CFD computation and the error of discretization [14]. A more advantageous representation for real-time application is the state-space form in which the temperatures are written in a vector.…”

Section: High-order Modelmentioning

confidence: 99%

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

Sempey

Inard

Ghiaus

et al. 2009

Building and Environment

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Section: High-order Modelmentioning

confidence: 99%

“…A more advantageous representation for real-time application is the state-space form in which the temperatures are written in a vector. The high-order model is then [14] …”

Section: High-order Modelmentioning

confidence: 99%

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

Sempey

Inard

Ghiaus

et al. 2009

Building and Environment

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“…In order to compensate for the non-linear temperature distribution in air, this paper presents a novel sound velocity compensation method by constructing a three-dimensional (3D) temperature field of measurement space. Temperature field construction is widely used in indoor environment evaluation (Ghiaus and Ghiaus, 1999;Nishioka et al, 2000), industrial processing (Wang et al, 2010) and architecture fields (Han et al, 2003;Paskin et al, 2005) to analyse the thermodynamic properties. According to the heat transfer theory (Sentenac et al, 2012) and finite element method (Guo et al, 2010;Tay et al, 1974;Yang et al, 2010a), the temperature field can be constructed through boundary temperature of the measurement space.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional temperature field compensation technology for large-scale ultrasonic positioning system

Zhu

Zhou

et al. 2016

Transactions of the Institute of Measurement and Control

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Large-scale ultrasonic positioning systems have recently shown substantial improvement, according to the current great interest concerning large-scale metrology applications in many different fields of manufacturing industry. However, the sound velocity is greatly influenced by the ambient temperature especially in large-scale applications. The traditional sound velocity compensation method mainly uses the average temperature in measurement space based on an assumption that the temperature field is uniform and stable. As the assumption is invalid in most cases, especially in industrial measurement environments, the traditional compensation method will bring obvious errors. To reduce these errors caused by sound velocity, this article proposes a novel compensation method by constructing a three-dimensional temperature field of measurement space through heat transfer theory as well as the finite element method, and then estimating the distance accurately using a couple iterating algorithm. Verification experiments demonstrate that the ranging deviation estimated through the proposed method may keep within 0.5 mm in 5.4 3 2 m measurement space, whereas the average distance measurement uncertainty is about 0.25 mm.

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“…Supply air temperature control presents interest in evaluating the comfort and in control system design: models for evaluating the thermal comfort consider the supply air temperature as input [2], and cascade control of room temperature has the control of supply air temperature as inner loop. Hence the interest of controlling supply air temperature and also having the possibility of including operating rules, specific for the solar energy systems, in the overall algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…Its set-point is imposed by the room temperature controller with which controls in cascade the room temperature. Supply air temperature is also an input to models that predict thermal comfort in air conditioning rooms [2].…”

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confidence: 99%

Fuzzy model and control of a fan-coil

Ghiaus

2001

Energy and Buildings

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Tel: 00 33 5 4645 7248 Fax: 00 33 5 4645 8241 2 Abstract Fuzzy models and controllers are represented by if-then rules and thus can provide a user-friendly and understandable representation of combined quantitative and qualitative description. The qualitative rules result in a quantitative non-linear controller well suited to nonlinear systems controlling thermal comfort with vague defined objectives as fan-coils used in solar energy systems. The fuzzy models are achieved through identification by varying the inputs so that the fan-coil reaches the states encountered in normal operation. These models may be used for control or for simulation. On its domain of validity, the fuzzy controller behaves better then a classical controller. In fact, the main advantage of fuzzy controller is the easiness of introducing operating modes and poor defined objectives specific for solar energy systems such as freeze and overtemperature protection, or draining.

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Evaluation of the indoor temperature field using a given air velocity distribution

Cited by 9 publications

References 0 publications

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

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

Three-dimensional temperature field compensation technology for large-scale ultrasonic positioning system

Fuzzy model and control of a fan-coil

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