Heating, ventilation and air conditioning system modelling

Whalley, R.; Abdul-Ameer, A.

doi:10.1016/j.buildenv.2010.09.010

Cited by 11 publications

(14 citation statements)

References 9 publications

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“…For instance, Zhang et al [7,8] discussed the physical structure and the operating characteristic of a chiller using partial differential equation; this model reasonably predicted the chiller transient performance. Whalley and Abdul-Ameer [9] indicated that the air conditioned room model was similar to the circuit resistance and capacitance in electrical system. They introduced the room temperature and the ventilation equipment model and analyzed the response.…”

Section: Introductionmentioning

confidence: 93%

“…In Figure 11, the predicted CP of two chillers (2# chiller is spare unit) adopting the N-Elman network model is more accurate, and its average errors are less than Elman network model. Table 4 shows the detailed comparisons, where chillers power is derived from (9). Although the iteration of the improved model is increased, the increment is acceptable.…”

Section: Network Formula Of N-bpmentioning

confidence: 99%

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Data Analysis and Modeling of Chilled Water Loops in Air Conditioning Systems

Zhao¹,

Yu²,

Yu³

et al. 2017

Mathematical Problems in Engineering

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Artificial neural network has been widely used in air conditioning systems as an effective method for predicting parameters, and the accuracy of ANN model relies on training data and network structure. In order to increase the quality of chilled water loops model, this paper develops an optimal data processing algorithm combining Kalman filtering with particle swarm optimization to compensate for uncertain factors and disturbances of collected data from the case building and establishes the nonlinear variation trend database. Based on Elman and BP neural networks, this paper proposes the improved network structures to avoid the local optimum predicted value of chilled water loops and increase data training speed. Simulation results show that this algorithm improves the data accuracy of current percentage (CP) of chillers and chilled water temperatures 12% and 9%. Compared with Elman and BP models, mean absolute errors of CP improved models are improved 24.1% and 10.3%, and mean squared errors of water temperature improved models are improved 5.2% and 4.8%. For the purpose of energy conservation control in air conditioning systems, this work has an application value and can be used for predicting other parameters of buildings.

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Section: Introductionmentioning

confidence: 93%

Section: Network Formula Of N-bpmentioning

confidence: 99%

Data Analysis and Modeling of Chilled Water Loops in Air Conditioning Systems

Zhao¹,

Yu²,

Yu³

et al. 2017

Mathematical Problems in Engineering

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“…Given that the independent control of temperature and humidity in the airconditioning system uses fresh air in the dehumidification system to remove indoor residual humidity, CO 2 , and odors such that to ensure indoor air quality, the dynamic response modeling of room temperature must only consider the room's sensible heat [33]. e heat energy balance in an air-conditioning system is expressed as follows [34,35]:…”

Section: Dynamic Response Of Temperaturementioning

confidence: 99%

Independent Control of Temperature and Humidity in Air Conditioners by Using Fuzzy Sliding Mode Approach

Yang

Xie

et al. 2020

Complexity

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This paper proposes a sliding mode control (SMC) strategy to solve the problem of independent control of temperature and humidity in air conditioners; the complexity increases due to the need to make full use of the wind side for cooling. First, dynamics of indoor temperature and humidity are determined based on mathematical models. Second, in order to reduce the chattering effect of SMC and coordinate indoor conditions to satisfy people’s needs, the independent control of temperature and humidity is realized via a novel fuzzy sliding mode control strategy based on reaching laws. Finally, simulation results are provided to verify the effectiveness of the proposed method.

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“…The complex air conditioning water system pipe network is established by connecting these components in turn, and the energy conservation in pipes includes heat transfer and convection. For the normal pipe, its thermal dynamic characteristics can be expressed as [16] = − ⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟ thermal transfer…”

Section: Modelmentioning

confidence: 99%

Simplified Thermal Model and Optimal Control for Chilled Water Pipe in Air‐Conditioning System

Zhao

et al. 2019

Mathematical Problems in Engineering

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As an important subsystem in air-conditioning system, water system connects the chiller and terminal equipment. Therefore, it is necessary to develop an accurate thermal model for chilled water pipe to create the suitable indoor temperature and humidity environment. In this paper, the thermal model of the pipe was considered by utilizing the simplified thermal time-delay state-space model with the mass, energy balance, and heat consumption equations. Based on this improved model, the preview control as control strategy for water pipe temperature was proposed, and its robustness and stability were discussed. Subsequently, the performances of this model and control strategy were tested in a fan-coil system simulating with MATLAB and TRNSYS (Transient System Simulation Program). Explicitly, the results show that this model accurately predicts the thermal characteristic, and the average mean squared errors for water temperature were 11.14% and 12.82%, respectively. Meanwhile, the tracking effect of valve controller was better than the control strategy with no preview control.

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Heating, ventilation and air conditioning system modelling

Cited by 11 publications

References 9 publications

Data Analysis and Modeling of Chilled Water Loops in Air Conditioning Systems

Data Analysis and Modeling of Chilled Water Loops in Air Conditioning Systems

Independent Control of Temperature and Humidity in Air Conditioners by Using Fuzzy Sliding Mode Approach

Simplified Thermal Model and Optimal Control for Chilled Water Pipe in Air‐Conditioning System

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