Dynamic thermal performance prediction model for the flat-plate solar collectors based on the two-node lumped heat capacitance method

Deng, Jie; Ma, Rongjiang; Yuan, Guofeng; Chang, Chun; Yang, Xudong

doi:10.1016/j.solener.2016.06.060

Cited by 32 publications

(17 citation statements)

References 11 publications

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“…The results show that the prediction performance of the simple dynamic model is nearly as accurate as the ODE numerical solution and the TIM by Deng et al (2016a) except some special conditions such as sharply changed solar irradiance and collector inlet temperature. the collector dynamic thermal performance with given meteorological and operating conditions using the obtained parameters.…”

mentioning

confidence: 86%

“…It is noted in the previous section that Dynamic test data of September 19th, 2015 was chosen in further discussion because it contained inlet temperatures at different levels, which were necessary for identifying the effective collector thermal capacity (Deng et al, 2015a(Deng et al, , 2016aKong et al, 2015). The day was a clear sky.…”

Section: The Heat Transport Time Defined In the Simple Dynamic Modelmentioning

confidence: 99%

“…Moreover, in our recent study (Deng et al, 2016a), it was found that the collector effective thermal capacitance in the QDT should be amended using two-node lumped heat capacitance method according to the definition of the collector flow efficiency factor. It should be considered in the simple model in order to determine the collector characteristic parameters.…”

Section: Introductionmentioning

confidence: 99%

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Validation of a simple dynamic thermal performance characterization model based on the piston flow concept for flat-plate solar collectors

Yang

Zhu

et al. 2016

Solar Energy

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mentioning

confidence: 86%

Section: The Heat Transport Time Defined In the Simple Dynamic Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Validation of a simple dynamic thermal performance characterization model based on the piston flow concept for flat-plate solar collectors

Yang

Zhu

et al. 2016

Solar Energy

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“…The method uses the lumped parameter idea, which equates the object to a thermal node with uniform internal properties. Because of its simple principle, this method has been widely used in the field of heat transfer modeling [3][4][5][6]. One branch of the lumped parameter method is the neural network method.…”

Section: Introductionmentioning

confidence: 99%

Thermal Environment Prediction for Metro Stations Based on an RVFL Neural Network

et al. 2018

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With the improvement of China's metro carrying capacity, people in big cities are inclined to travel by metro. The carrying load of these metros is huge during the morning and evening rush hours. Coupled with the increase in numbers of summer tourists, the thermal environmental quality in early metro stations will decline badly. Therefore, it is necessary to analyze the factors that affect the thermal environment in metro stations and establish a thermal environment change model. This will help to support the prediction and analysis of the thermal environment in such limited underground spaces. In order to achieve relatively accurate and rapid on-line modeling, this paper proposes a thermal environment modeling method based on a Random Vector Functional Link Neural Network (RVFLNN). This modeling method has the advantages of fast modeling speed and relatively accurate prediction results. Once the preprocessed data is input into this RVFLNN for training, the metro station thermal environment model will be quickly established. The study results show that the thermal model based on the RVFLNN method can effectively predict the temperature inside the metro station.

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“…Through the proposed model, a design for the collector was suggested. Jie Deng [20][21][22][23] suggested a dynamic thermal performance prediction model for predicting the performance of solar collectors. Although various studies on the performance of solar collectors have been carried out, these have usually involved performance tests in different geographic locations, using different measuring techniques.…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study of the Solar Collection Performance of Liquid-Type Solar Collectors under Various Weather Conditions

Choi

2018

Energies

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To design and use a solar heating system properly, it is very important to evaluate the performance of its solar collector. Because the solar collection efficiency of a solar collector depends on the amount of solar radiation, the conditions of the heating medium (e.g., flow rate and inlet temperature), and the outside air temperature, it is necessary to consider the performance of the solar collector in actual weather conditions that are likely to prevail when using the system for heating and hot water. In the present study, test equipment was manufactured to measure the efficiency of solar collectors. Using this equipment, the heating characteristics of seven types of solar collectors were measured. In addition, the amount of solar heat collected per unit area was calculated for seven regions in Japan to compare the solar collection performance for different weather conditions, such as the outside temperature and the amount of solar radiation. In addition, the amount of solar heat collected per unit area was calculated for seven regions in Japan to compare the solar collection performance for different weather conditions, such as outside temperature and the amount of solar radiation. The results show that the solar collection performance is climate dependent and that it is necessary to select a suitable collector for each region through a preliminary examination of the solar collection in the initial design stage.

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Dynamic thermal performance prediction model for the flat-plate solar collectors based on the two-node lumped heat capacitance method

Cited by 32 publications

References 11 publications

Validation of a simple dynamic thermal performance characterization model based on the piston flow concept for flat-plate solar collectors

Validation of a simple dynamic thermal performance characterization model based on the piston flow concept for flat-plate solar collectors

Thermal Environment Prediction for Metro Stations Based on an RVFL Neural Network

An Experimental Study of the Solar Collection Performance of Liquid-Type Solar Collectors under Various Weather Conditions

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