Cymatics Inspired Self-Cleaning Mechanism for Solar Panels

Babu, Edwin; Yesudasan, Sumith; Chacko, Sibi

doi:10.20944/preprints202004.0350.v1

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…With the increasing computational power and widespread application of molecular simulations in various areas of science and engineering (2)(3)(4)(5)(6), the need for multiscale simulations are also growing (7)(8)(9)(10)(11). There exist many open source computer codes available to perform these simulations.…”

Section: Introductionmentioning

confidence: 99%

Practical Implementation of Molecular Dynamics Code for Beginners Using Python

Yesudasan¹

2020

Preprint

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In this paper, we introduce a simple yet powerful and working version of the molecular dynamics code using the Python 3.9 language. The code contents are published in the link given in the appendix 1. The structure and components of the program is given in detail using flowcharts and code snippets. The program consists of major features like velocity verlet integrator, thermostats, COM removal, input and output modules, virial, pressure, and other thermodynamic quantities estimation etc. The author believes that this program will be helpful to graduate students who perform research in molecular dynamics simulations who intend to write their own code instead of the sophisticated open source packages.

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Section: Introductionmentioning

confidence: 99%

Practical Implementation of Molecular Dynamics Code for Beginners Using Python

Yesudasan¹

2020

Preprint

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“…Furthermore, if the search space is complex, the algorithm tends to struggle for multiple generations. The genetic algorithm, and other optimization techniques are used in a wide range of investigations in different fields [16]- [22]. The limitation of these algorithms is that it is difficult to extend their use into a dynamic environment.…”

Section: Introductionmentioning

confidence: 99%

A Cooperative Multi-Agent Based Path-Planning and Optimization Strategy for Dynamic Environment

Sundar¹,

Yesudasan²,

Chacko³

2020

Preprint

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This investigation explores a novel path-planning and optimization strategy for multiple cooperative robotic agents, applied in a fully observable and dynamically changing obstacle field. Current dynamic path planning strategies employ static algorithms operating over incremental time-steps. We propose a cooperative multi-agent (CMA) based algorithm, based on natural flocking of animals, using vector operations. It is preferred over more common graph search algorithms like A* as it can be easily applied for dynamic environments. CMA algorithm executes obstacle avoidance using static potential fields around obstacles, that scale based on relative motion. Optimization strategies including interpolation and Bezier curves are applied to the algorithm. To validate effectiveness, CMA algorithm is compared with A* using static obstacles due to lack of equivalent algorithms for dynamic environments. CMA performed comparably to A* with difference ranging from -0.2% to 1.3%. CMA algorithm is applied experimentally to achieve comparable performance, with an error range of -0.5% to 5.2%. These errors are attributed to the limitations of the Kinect V1 sensor used for obstacle detection. The algorithm was finally implemented in a 3D simulated space, indicating that it is possible to apply with drones. This algorithm shows promise for application in warehouse and inventory automation, especially when the workspace is observable.

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“…The best way to utilize energy is to use it in its original form rather than facing conversion losses. This can be accomplished by using solar collectors that use solar irradiation coming from the sun to produced thermal energy (heat) for hot water or air (space heating) applications [1]- [5]. It basically works as a heat exchanger with the sun as its main heat source.…”

Section: Introductionmentioning

confidence: 99%

Nanofluids for Solar Thermal Collection and Energy Conversion

M¹,

Yesudasan²,

Chacko³

2020

Preprint

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This paper investigates the improvement in solar energy collection and conversion using Al2O3-Water nanofluids in a solar flat plate collector (SFPC). The efficiency of a solar flat plate collector using water as the fluid medium is analyzed experimentally and theoretically. For theoretical analysis, a mathematical model in MATLAB is used to simulate and is validated by the experimental results. To enhance the solar energy collection and conversion efficiency of the SFPC, Al2O3-Water nanofluid was selected as the fluid medium. The nanofluid properties like density, specific heat capacity, thermal conductivity and viscosity are analyzed and compared for several models of Al2O3-Water nanofluids and the best model was selected to modify the simulation. Effect of particle diameter in the nanofluid was found to be marginal on the nanofluid properties. The optimum volume concentration of the nanofluid was found to be 4% giving an efficiency increase of 7.78% in the SFPC over the use of water. This reduces the area of the SFPC by 10.5%.

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Cymatics Inspired Self-Cleaning Mechanism for Solar Panels

Cited by 3 publications

References 15 publications

Practical Implementation of Molecular Dynamics Code for Beginners Using Python

Practical Implementation of Molecular Dynamics Code for Beginners Using Python

A Cooperative Multi-Agent Based Path-Planning and Optimization Strategy for Dynamic Environment

Nanofluids for Solar Thermal Collection and Energy Conversion

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