Analysis and Evaluation of Heat Pipe Efficiency to Reduce Low Emission with the Use of Working Agents R134A, R404A and R407C, R410A

Adrian, Łukasz; Szufa, Szymon; Piersa, Piotr; Kuryło, Piotr; Mikołajczyk, Filip; Kurowski, Krystian; Pochwała, Sławomir; Obraniak, Andrzej; Stelmach, J.; Wielgosiński, Grzegorz; Czerwińska, Justyna; Kubiak, Przemysłąw

doi:10.3390/en14071926

Cited by 6 publications

(6 citation statements)

References 26 publications

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“…The presented numerical model of the heat pipe and the results of computer simulations are a continuation, as well as an attempt to visualize the experimental tests for the tested heat pipe geometries, as well as the presented work factors and their best filling levels, selected on the basis of experimental tests [6]. Computer simulations also confirmed the negligible heat transfer through a heat pipe filled with air, which is also the same as the results of experimental studies [30].…”

Section: Discussionsupporting

confidence: 68%

“…The remaining part of the tube filling was a vacuum. These values were selected for each of the systems on the basis of laboratory tests, where the highest values of absorbed and returned heat were obtained for the assumed values [6]. This allowed for the most optimal operation of the device and the achievement of the highest efficiency and effectiveness rates of the devices.…”

Section: Used Materials and Their Propertiesmentioning

confidence: 99%

“…The length was selected so that the heat receiving and dissipating parts were in the middle of the 0.5-1 m range, which corresponds to a typical series of heights of ventilation and air-conditioning ducts and units. As part of the subject of this work, experimental tests of a heat pipe made of brass, 550 mm long, with a 22 mm outer diameter, and a 1 mm wall thickness (Tube 2), were also carried out at the Thermal Technology Department of the Fluid Flow Machinery Institute of the Lodz University of Technology, the results and conclusions of which are taken into account in the comparative analysis in this work [6].…”

Section: Introductionmentioning

confidence: 99%

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Numerical Model of Heat Pipes as an Optimization Method of Heat Exchangers

et al. 2021

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This paper presents research results on heat pipe numerical models as optimization of heat pipe heat exchangers for intensification of heat exchange processes and the creation of heat exchangers with high efficiency while reducing their dimensions. This work and results will allow for the extension of their application in passive and low-energy construction. New findings will provide a broader understanding of how heat pipes work and discover their potential to intensify heat transfer processes, heat recovery and the development of low-energy building engineering. The need to conduct research and analyses on the subject of this study is conditioned by the need to save primary energy in both construction engineering and industry. The need to save primary energy and reduce emissions of carbon dioxide and other pollutants has been imposed on the EU Member States through multiple directives and regulations. The presented numerical model of the heat pipe and the results of computer simulations are identical to the experimental results for all tested heat pipe geometries, the presented working factors and their best degrees of filling.

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Section: Discussionsupporting

confidence: 68%

Section: Used Materials and Their Propertiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Numerical Model of Heat Pipes as an Optimization Method of Heat Exchangers

et al. 2021

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“…This method may in the future lead to the return of the concept of quasi-adiabatic engines, and even engines implementing a cascade of several thermodynamic cycles, increasing the scale of Carnotization. It would be interesting to conduct an analysis on an even more basic level, such as in [14][15][16]. In general, obtaining a certain maximum temperature using the combined kinematics of the crank-piston and the complementary system is theoretically entirely possible, as indicated by the conducted analysis.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The Use of the Fourier Series to Analyze the Shaping of Thermodynamic Processes in Heat Engines

et al. 2021

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The article presents the application of the Fourier series to theoretical considerations on the method of maximum temperature control in thermodynamic cycles of internal combustion engines equipped with an additional independent kinematic system. The analysis assumes that the processes are zero-dimensional and the gases consumed in the engine cycles are perfect, simplifying the considerations for temperature control as a function of the two variables, pressure and volume, of which the volume as a geometric quantity can be completely controlled. In view of this fact, a predetermined temperature curve was assumed, ultimately reducing the considerations of specific volume changes, that is to say a kinematic system that could implement these changes. Moreover, in the analysis of volume changes, a cycle not used so far in the description of internal combustion engines was used. In the next step, the cycle was modified using the popular Vibe function, which was replaced in the theoretical cycle by two isochoric and isothermal transformations. Heat exchange was completely omitted in the considerations, in that it is of secondary importance, ultimately bringing the temperature function to the function of one variable, the angle of rotation of the crankshaft. Then, the kinematics was divided into the kinematics of the crank-piston system and the additional system, which was approximated with five words from the Fourier series, which in the technique correspond, for example, to the system of oscillators. At the end of the article we have explained one of the ways of actual technical implementation using a single nonlinear oscillator, the so-called ACC system equivalent to a few words from the mentioned Fourier series.

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Intelligent control system for the electric vehicle heat pump air conditioner based on machine learning

Ze-hua

2023

Front. Energy Res.

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In order to break through the existing battery technology of electric vehicles, this paper proposes to use heat pump air conditioning instead of the original PTC heating system potential. First, the advantages and disadvantages of different heat pump models for new energy vehicles are analyzed and compared. Second, a fuzzy inference system is constructed based on the machine learning model to observe the temperature of the passenger compartment using the temperature sensor inside the tram and to determine the need for the air conditioning system to be turned on in the heating/cooling mode by comparing it with the set temperature. Finally, the results show that the machine learning algorithm is able to monitor and adaptively adjust the interior temperature to further enhance the adaptability of the system with low volatility and high accuracy. The proposed research study can lay the foundation for further optimizing the design of heat pump air conditioners for electric vehicles.

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Analysis and Evaluation of Heat Pipe Efficiency to Reduce Low Emission with the Use of Working Agents R134A, R404A and R407C, R410A

Cited by 6 publications

References 26 publications

Numerical Model of Heat Pipes as an Optimization Method of Heat Exchangers

Numerical Model of Heat Pipes as an Optimization Method of Heat Exchangers

The Use of the Fourier Series to Analyze the Shaping of Thermodynamic Processes in Heat Engines

Intelligent control system for the electric vehicle heat pump air conditioner based on machine learning

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