Design and analysis of energy-efficient solar panel cooling system using computational fluid dynamics

Energy consumption for air conditioning systems (air conditioning system) increased along with the increasing need for fresh air and comfortable in the room especially apartments. FAC system (Floor Air Conditioning) is growing because it is more energy efficient than CAC (Ceiling Air Conditioning) system. However, the position of the AC supply is on the lower level at the FAC system causes draft discomfort becomes greater as air supply closer to the occupants so that thermal comfort can be reduced. Heat mixture of windows, exterior walls, kitchen, and occupants in the studio apartment affect thermal comfort in the room too.This study aims to determine the position of the AC supply which has the best thermal comfort of FAC system in the studio apartment. It can be done by analyzing ADPI (Air Diffusion Performance Index), the distribution of air temperature, wind speed, RH (Relative Humidity), and DR (Draft Risk) to change the position of the AC supply supported by CFD (Computational Fluid Dynamics) simulation.This result prove that AC position 2 (on wall near the kitchen) is more comfortable than AC position 1 (on the bathroom wall) because AC position 2 away from occupied areas, thereby reducing the occurrence of draught discomfort.

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Energy efficient design of high depth raceway pond using computational fluid dynamics

Renewable Energy ◽

10.1016/j.renene.2018.10.016 ◽

2019 ◽

Vol 133 ◽

pp. 528-537 ◽

Cited By ~ 5

Author(s):

S.S. Sawant ◽

S.N. Gosavi ◽

H.P. Khadamkar ◽

C.S. Mathpati ◽

Reena Pandit ◽

...

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Energy Efficient ◽

Efficient Design ◽

Raceway Pond ◽

Energy Efficient Design ◽

High Depth

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Computational Fluid Dynamics Analysis of an Evaporative Cooling System

Strojnícky casopis – Journal of Mechanical Engineering ◽

10.1515/scjme-2016-0026 ◽

2016 ◽

Vol 66 (2) ◽

pp. 117-124

Author(s):

N. Kapilan ◽

M. Manjunath Gowda ◽

H. N. Manjunath

Keyword(s):

Climate Change ◽

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Urban Areas ◽

Cooling System ◽

Evaporative Cooling ◽

Rural And Urban Areas ◽

Rural And Urban ◽

Computational Fluid Dynamics Analysis ◽

Evaporative Cooling System

Abstract The use of chlorofluorocarbon based refrigerants in the air-conditioning system increases the global warming and causes the climate change. The climate change is expected to present a number of challenges for the built environment and an evaporative cooling system is one of the simplest and environmentally friendly cooling system. The evaporative cooling system is most widely used in summer and in rural and urban areas of India for human comfort. In evaporative cooling system, the addition of water into air reduces the temperature of the air as the energy needed to evaporate the water is taken from the air. Computational fluid dynamics is a numerical analysis and was used to analyse the evaporative cooling system. The CFD results are matches with the experimental results.

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Modeling of Film Cooling—Part II: Model for Use in Three-Dimensional Computational Fluid Dynamics

Journal of Turbomachinery ◽

10.1115/1.2437219 ◽

2006 ◽

Vol 129 (2) ◽

pp. 221-231 ◽

Cited By ~ 18

Author(s):

André Burdet ◽

Reza S. Abhari ◽

Martin G. Rose

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Film Cooling ◽

Cooling System ◽

Turbine Blades ◽

Hybrid Approach ◽

Processing Unit ◽

Central Processing ◽

Cooling Hole ◽

Cooling Model

Computational fluid dynamics (CFD) has recently been used for the simulation of the aerothermodynamics of film cooling. The direct calculation of a single cooling hole requires substantial computational resources. A parametric study, for the optimization of the cooling system in real engines, is much too time consuming due to the large number of grid nodes required to cover all injection holes and plenum chambers. For these reasons, a hybrid approach is proposed, based on the modeling of the near film-cooling hole flow, tuned using experimental data, while computing directly the flow field in the blade-to-blade passage. A new injection film-cooling model is established, which can be embedded in a CFD code, to lower the central processing unit (CPU) cost and to reduce the simulation turnover time. The goal is to be able to simulate film-cooled turbine blades without having to explicitly mesh inside the holes and the plenum chamber. The stability, low CPU overhead level (1%) and accuracy of the proposed CFD-embedded film-cooling model are demonstrated in the ETHZ steady film-cooled flat-plate experiment presented in Part I (Bernsdorf, Rose, and Abhari, 2006, ASME J. Turbomach., 128, pp. 141–149) of this two-part paper. The prediction of film-cooling effectiveness using the CFD-embedded model is evaluated.

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Computational fluid dynamics analysis and experimental validation of solar panel cleaning mechanism

Vibroengineering PROCEDIA ◽

10.21595/vp.2019.21147 ◽

2019 ◽

Vol 29 ◽

pp. 225-230

Author(s):

Susheel Reddy Aligireddy ◽

Deepali Atheaya ◽

Sai Manoj Katakam ◽

Yash Guptaa ◽

Abhishek Mishra

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Experimental Validation ◽

Solar Panel ◽

Dynamics Analysis ◽

Computational Fluid Dynamics Analysis

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Using analog computers in today's largest computational challenges

Advances in Radio Science ◽

10.5194/ars-19-105-2021 ◽

2021 ◽

Vol 19 ◽

pp. 105-116

Author(s):

Sven Köppel ◽

Bernd Ulmann ◽

Lars Heimann ◽

Dirk Killat

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Partial Differential Equations ◽

Differential Equations ◽

Energy Efficient ◽

Large Scale ◽

Scientific Computing ◽

Analog Computer ◽

Partial Differential ◽

Technology Platform

Abstract. Analog computers can be revived as a feasible technology platform for low precision, energy efficient and fast computing. We justify this statement by measuring the performance of a modern analog computer and comparing it with that of traditional digital processors. General statements are made about the solution of ordinary and partial differential equations. Computational fluid dynamics are discussed as an example of large scale scientific computing applications. Several models are proposed which demonstrate the benefits of analog and digital-analog hybrid computing.

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Disain dan Uji Kinerja Pendingin Evaporatif Tipe Aliran Searah Menggunakan CFD (Computational Fluid Dynamics)

Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) ◽

10.23960/jtep-l.v10i3.338-350 ◽

2021 ◽

Vol 10 (3) ◽

pp. 338

Author(s):

Hikmah Yuliasari ◽

Kavadya Syska ◽

Ropiudin Ropiudin

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Cooling System ◽

Evaporative Cooling ◽

Cold Chain ◽

Cfd Analysis ◽

Direct Flow ◽

Flow Type ◽

Evaporative Cooling System ◽

Evaporative Cooler

After harvesting, fruits will change due to physiological, physical, chemical, and microbiological influences, and they are living materials. Therefore, it is necessary to know how to harvest and handle fresh fruits and their storage conditions to handle the fruits after harvesting so that the quality of the products can be maintained. One of the first treatments in the fruit cold chain is evaporative cooling. In order to get an evaporative cooling system that has an even temperature distribution, it is necessary to make a spatial model when designing an evaporative cooling system using CFD (Computational Fluid Dynamics). The objectives of this research are: (1) design of direct flow type evaporative cooling systems and (2) test the performance of direct flow type evaporative coolers. This research method uses design methods, experiments, and computer simulations. The results showed the performance of the evaporative cooler system in the scenario with the roof on, the highest effectiveness value was 1.198, the highest approximation value was 2.832, and the highest range value was 4.589. In the scenario without a roof on the evaporative cooler system, the highest effectiveness value was 1.767, the highest approach value was 2.139, and the highest range value was 4.835. The CFD analysis in the scenario with a roof had the highest temperature value of 25.9 ° C and the lowest temperature of 21.9 ° C, while the CFD analysis in the scenario without roof had the highest temperature of 23.7 ° C and the lowest temperature of 20.4 ° C. Keywords: CFD, direct flow type, evaporative cooler, quality, fruit

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