Feasibility experiment on the simple hot box-heat flow meter method and the optimization based on simulation reproduction

Meng, Xi; Gao, Yawen; Wang, Yan; Yan, Biao; Zhang, Wei; Long, Enshen

doi:10.1016/j.applthermaleng.2015.03.010

Cited by 54 publications

(43 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Before presenting the integrated measuring and control system proposed in this work, a literature review of the common measuring and control systems employed for hot box experiments is proposed. The works were selected based on the following research questions: [27,39]).…”

Section: Common Systems and Literature Backgroundmentioning

confidence: 99%

“…Therefore, the literature review shows that the calibrated hot box is the most used [3,4,6,13,17,19,20,[23][24][25][26]28,30,32,33,36,37] followed by the guarded hot box [5,7,14,15,18,21,22,29,31,34,35] and the simple hot box [16,27,38]. The measuring systems always employ analog probes and the thermocouples are more widely used [3][4][5][6][13][14][15][16]18,[21][22][23][24][25][26][27]29,31,[33][34]…”

Section: Common Systems and Literature Backgroundmentioning

confidence: 99%

“…The measuring systems always employ analog probes and the thermocouples are more widely used [3][4][5][6][13][14][15][16]18,[21][22][23][24][25][26][27]29,31,[33][34][35][36][37][38] with respect to the thermoresistances [17,19,20,28,34]. The number of probes installed that, as mentioned, depends on the size of the hot box, is very variable: some cases have less than 20 probes [13,16,19,20,27,28,38], most cases have a number of probes between 20 and 100 [4][5][6]14,15,[23][24][25]33,36], while in three cases there are more than 100 probes [34,35,...…”

Section: Common Systems and Literature Backgroundmentioning

confidence: 99%

See 2 more Smart Citations

Integrated Measuring and Control System for Thermal Analysis of Buildings Components in Hot Box Experiments

et al. 2019

View full text Add to dashboard Cite

In this paper, a novel integrated measuring and control system for hot box experiments is presented. The system, based on a general-purpose microcontroller and on a wireless sensors network, is able to fully control the thermal phenomena inside the chambers, as well as the heat flux that involves the specimen wall. Thanks to the continuous measurements of air and surfaces temperatures and energy input into the hot chamber, the thermal behavior of each hot box component is analyzed. A specific algorithm allows the post-process of the measured data for evaluating the specimen wall thermal quantities and for creating 2D and 3D thermal models of each component. The system reliability is tested on a real case represented by a double insulating X-lam wall. The results of the 72 h experiment show the system’s capability to maintain stable temperature set points inside the chambers and to log the temperatures measured by the 135 probes, allowing to know both the U-value of the sample (equal to 0.216 ± 0.01 W/m2K) and the thermal models of all the hot box components. The U-value obtained via hot box method has been compared with the values gathered through theoretical calculation and heat flow meter measurements, showing differences of less than 20%. Finally, thanks to the data postprocessing, the 2D and 3D thermal models of the specimen wall and of the chambers have been recreated.

show abstract

Section: Common Systems and Literature Backgroundmentioning

confidence: 99%

Section: Common Systems and Literature Backgroundmentioning

confidence: 99%

Section: Common Systems and Literature Backgroundmentioning

confidence: 99%

See 1 more Smart Citation

Integrated Measuring and Control System for Thermal Analysis of Buildings Components in Hot Box Experiments

et al. 2019

View full text Add to dashboard Cite

show abstract

“…As the heat transfer loss in building envelopes accounts 60-80% of the building total heat transfer loss [8], it is of vital importance to create a good indoor environment and decrease building energy consumption by bettering the thermal performance of the building external envelopes, especially the wall body [9,10]. Under the air-conditioning continuous operation, wall energy conservation optimization has been matured under the different climatic conditions and detailed review studies were reported by Kaynakli [11], Sadineni et al [12], and Shekarchian et al [13].…”

Section: Introductionmentioning

confidence: 99%

Effect of the thermal insulation layer location on wall dynamic thermal response rate under the air-conditioning intermittent operation

Zhang

Luo

Meng

et al. 2017

Case Studies in Thermal Engineering

Self Cite

View full text Add to dashboard Cite

A B S T R A C TAlthough the air-conditioning intermittent operation is widely used in buildings, more attention is focused on the air-conditioning continuous operation in the whole building to simplify energy conservation design, and thereby, the operation method inconsistence of air-conditioning must lead to the large difference between actual value and design value of energy consumption. According to this situation, in order to explore the wall energy conservation difference under the continuous and intermittent operation of air-conditioning, a experiment is built to analyze the effect of the thermal insulation layer location on wall dynamic thermal response rate. Experimental result shows that under the air-conditioning intermittent operation, wall cold storage is the main source of air-conditioning load formed by walls and the wall internal layer has the significant effect on the wall dynamic thermal response performance. And the closer to wall inner surface for the thermal insulation layer, the lower the inner surface temperature and the higher the wall thermal response rate. Meanwhile, the internal thermal insulation wall has the smallest heat flow value, which is less 35-86% than external thermal insulation wall and the sandwich thermal insulation wall, although they have the same heat transfer coefficients.

show abstract

“…The use of a data logger that records data for a period between 1 and 900 s will allow the variation of the frequency of data acquisition used in each test. By analysing the literature, the use of different sampling periods for the heat flow meter method and the quantitative methods of infrared thermography were detected: 2 min [41], 5 min [23,24,33], 15 min [19,25], 30 min [25], 60 min [25], or 90 min [25]. In this regard, we propose the use of sampling times of 15 min, which make the subsequent data analysis easier.…”

Section: Data Acquisition and Post-processingmentioning

confidence: 99%

Determining the U-Value of Façades Using the Thermometric Method: Potentials and Limitations

et al. 2018

View full text Add to dashboard Cite

Abstract:The thermal transmittance of building envelopes determines to a large extent the energy demand of buildings. Thus, there is a keen interest in having methods which can precisely evaluate thermal transmittance. From a scientific point of view, this study analyses the viability of the application of the thermometric method (THM), one of the most used methods in Spain. For this purpose, the test method has been improved by determining the adequate test conditions, the selection and installation of equipment, data acquisition and post-processing, and the estimation of uncertainty. We analyse eight case studies in a Mediterranean climate (Csa) to determine the potentials and limitations of the method. The results show that the values obtained through THM are valid under winter environmental conditions with relative uncertainties between 6% and 13%, while difficulties to perform the test in optimal conditions, and therefore to obtain valid results in warmer seasons, are detected. In this regard, the case studies which obtained a greater number of observations by performing the filtrate conditions were able to obtain representative results. Furthermore, there are significant differences depending on the kind of equipment and probes used during the experimental campaign. Finally, in warm climate regions a data filtrate can be considered for observations of a temperature difference higher than 5 • C, obtaining valid results for the case studies, although the rise in the thermal gradient can guarantee a greater stability of data.

show abstract

Feasibility experiment on the simple hot box-heat flow meter method and the optimization based on simulation reproduction

Cited by 54 publications

References 15 publications

Integrated Measuring and Control System for Thermal Analysis of Buildings Components in Hot Box Experiments

Integrated Measuring and Control System for Thermal Analysis of Buildings Components in Hot Box Experiments

Effect of the thermal insulation layer location on wall dynamic thermal response rate under the air-conditioning intermittent operation

Determining the U-Value of Façades Using the Thermometric Method: Potentials and Limitations

Contact Info

Product

Resources

About