This document summarizes research on modeling the thermal and electrical performance of a densely packed concentrating photovoltaic receiver. A numerical model was developed to simulate the spectral response, electrical output, and thermal behavior of the receiver. Both 2D and 3D finite element analysis were conducted in COMSOL Multiphysics to predict the cell surface temperature under varying ambient conditions and convective heat transfer coefficients. The results showed passive cooling is not sufficient to dissipate heat from a densely packed configuration, and an effective cooling system with a heat transfer coefficient over 2.5 kW/m2K would be required.
Magnetic refrigeration is a technology that has proven to
be environmentally safe. Computer models have shown
25% efficiency improvement over vapor compression
systems.
Magnetic refrigeration is a technology that has proven to
be environmentally safe. Computer models have shown
25% efficiency improvement over vapor compression
systems.
Ph d defense_rajmohan_muthaiah_University_of_oklahoma_07_28_2021Rajmohan Muthaiah
This slide describes the thermal transport in polymers, polymer nanocomposites and semiconductors using molecular dynamics simulations and first principles calculations
Primary results or synthesis and characteristics of thin-film materials for PV converters. Work performed by 4-point-probe method, Hall effect, magnetron sputtering, electron microscopy.
Harmonic and Modal Finite Element Modeling of Piezo-Electric Micro Harvesterresearchinventy
In recent years, vibration energy harvesters have drawn more attention in the world. Energy harvesting (also known as power harvesting or energy scavenging) is the process by which energy is derived from external sources (e.g. solar power, thermal energy, wind energy, salinity gradients, and kinetic energy), captured, and stored for small, wireless autonomous devices, like those used in wearable electronics and wireless sensor networks. Energy harvesting devices converting ambient energy into electrical energy have attracted much interest in both the military and commercial sectors. Some systems convert motion, such as that of ocean waves, into electricity to be used by oceanographic monitoring sensors for autonomous operation. This work is concerned with, harmonic and modal modeling of piezoelectric micro harvester using finite element software (Ansys). The effect of Seismic mass on the voltage output of piezoelectric micro harvester is monitored. The developed finite element model is exposed to harmonic fluctuation on different masses to compare different cases. The results also show the dependency of the piezoelectric material on the operating frequency.
Ph d defense_rajmohan_muthaiah_University_of_oklahoma_07_28_2021Rajmohan Muthaiah
This slide describes the thermal transport in polymers, polymer nanocomposites and semiconductors using molecular dynamics simulations and first principles calculations
Primary results or synthesis and characteristics of thin-film materials for PV converters. Work performed by 4-point-probe method, Hall effect, magnetron sputtering, electron microscopy.
Harmonic and Modal Finite Element Modeling of Piezo-Electric Micro Harvesterresearchinventy
In recent years, vibration energy harvesters have drawn more attention in the world. Energy harvesting (also known as power harvesting or energy scavenging) is the process by which energy is derived from external sources (e.g. solar power, thermal energy, wind energy, salinity gradients, and kinetic energy), captured, and stored for small, wireless autonomous devices, like those used in wearable electronics and wireless sensor networks. Energy harvesting devices converting ambient energy into electrical energy have attracted much interest in both the military and commercial sectors. Some systems convert motion, such as that of ocean waves, into electricity to be used by oceanographic monitoring sensors for autonomous operation. This work is concerned with, harmonic and modal modeling of piezoelectric micro harvester using finite element software (Ansys). The effect of Seismic mass on the voltage output of piezoelectric micro harvester is monitored. The developed finite element model is exposed to harmonic fluctuation on different masses to compare different cases. The results also show the dependency of the piezoelectric material on the operating frequency.
Solar photovoltaic thermal (PV/t) parabolic trough collector systemManav Shah
This system consists of concentrating parabolic trough collector to magnify the solar radiation onto the focal point where absorber tube has been placed. Working fluid such as water is passed from the tube with the help of pump. In order to increase the overall efficiency of the system, photovoltaic cells are placed on the absorber tube so that hot water and electricity can be produced from one integrated system.
Transient Numerical Analysis of Induction Heating of Graphite Cruciable at Di...ijeljournal
Mathematical modeling of Induction heating process is done by using 2D axisymmetric geometry.
Induction heating is coupled field problem that includes electromagnetism and heat transfer. Mathematical
modeling of electromagnetism and heat transfer is done by using maxwell equations and classical heat
transfer equation respectively. Temperature dependent material properties are used for this analysis. This
analysis includes coil voltage distribution, crucible electromagnetic power, and coil equivalent impedance
at different frequency. Induction coil geometry effect on supply voltage is also analyzed. This analysis is
useful for designing of induction coil for melting of nonferrous metal such as gold, silver, uranium etc.
Transient numerical analysis of induction heating of graphite cruciable at di...ijeljournal
Mathematical modeling of Induction heating process is done by using 2D axisymmetric geometry. Induction heating is coupled field problem that includes electromagnetism and heat transfer. Mathematical
modeling of electromagnetism and heat transfer is done by using maxwell equations and classical heat
transfer equation respectively. Temperature dependent material properties are used for this analysis. This
analysis includes coil voltage distribution, crucible electromagnetic power, and coil equivalent impedance
at different frequency. Induction coil geometry effect on supply voltage is also analyzed. This analysis is useful for designing of induction coil for melting of nonferrous metal such as gold, silver, uranium etc.
Transient Numerical Analysis of Induction Heating of Graphite Cruciable at Di...ijeljournal
Mathematical modeling of Induction heating process is done by using 2D axisymmetric geometry.
Induction heating is coupled field problem that includes electromagnetism and heat transfer. Mathematical
modeling of electromagnetism and heat transfer is done by using maxwell equations and classical heat
transfer equation respectively. Temperature dependent material properties are used for this analysis. This
analysis includes coil voltage distribution, crucible electromagnetic power, and coil equivalent impedance
at different frequency. Induction coil geometry effect on supply voltage is also analyzed. This analysis is
useful for designing of induction coil for melting of nonferrous metal such as gold, silver, uranium etc.
For download link head to http://solarreference.com/solar-cooling-training-presentation/
Also available from SOLAIR website.
A presentation from the SOLAIR project on sizing of solar air conditioners. their website has a lot of details information. For similar useful resources visit us on http://solarreference.com
This presentation is about my academic project on generating electricity using thermoelectric generator (TEG), to harvest the thermal energy dissipated by combustion gases. The current project discusses the optimal design of the thermoelectric generator (TEG) and the design is conducted analytically based on the idea of air cooled TEG system using fins and an experimental system is fabricated and tested by attaching to exhaust pipe of a two wheeler IC engine for the heat source to verify the validity of the proposed system.
Experimental Investigations and Analysis of Thermoelectric Refrigerator with ...ijtsrd
As the conventional refrigeration system are large in size and consumes a lot of electrical energy which in terns leads to releases of more green house gases for production of electricity which is major environmental concern nowadays. Thermo electric refrigerators are compact and consume less electrical energy which supports use of renewable energy resources such as solar, tidal, wind power, etc. major applications of thermo electric refrigerator are in medical storage systems, blood tissue transfer and as a portable refrigerator. Harvind Yadav | Durgesh Srivastav | Gaurav Kumar | Amit Kumar Yadav | Akshay Goswami ""Experimental Investigations and Analysis of Thermoelectric Refrigerator with Multiple Peltier Modules"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23332.pdf
Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/23332/experimental-investigations-and-analysis-of-thermoelectric-refrigerator-with-multiple-peltier-modules/harvind-yadav
EVALUATION OF MAJORITY CHARGE CARRIER AND IMPURITY CONCENTRATION USING HOT PR...IJAMSE Journal
Temperature dependent majority charge carrier concentration and impurity concentration calculations
done for p-type commercial (100) silicon wafer of thickness 200 µm where the wafer is heated by hot probe
set up. By solving basic conductivity equation of semiconductor and Continuity & Poisson’s equation
thermally generated carrier ∆p and Q are found respectively for the same temperature range 50°C-80°C
with an interval of 10°C. For lower temperature ∆p and Q values are not exactly same but for higher
temperature those values agree with conventional measurement.
Numerical Investigation of Forced Convection cooling of Electrical enclosure ...IJERA Editor
Electrical enclosures consist of high heat generating electrical components, so removal of heat generated
remains as our primary aim. To achieve this, cooling the electrical equipment is always an economical and
optimum solution to keep the electrical components to their operating temperature limits. Placing the cooling
components in the enclosure is another important parameter to be considered. This parameter can be judged
using a simple CFD analysis.
Therefore in the present work CFD simulation has been carried out by considering a typical Aluminum
Electrical enclosure of volume (300mm X 300mm X 300mm) with total internal heat dissipation of 150W. With
those values into consideration the surface area of enclosure, enclosure temperature rise, air flow requirement in
an enclosure is calculated and based on which the fan is selected.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
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State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
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Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
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In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
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Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
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Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
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However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
When stars align: studies in data quality, knowledge graphs, and machine lear...
356 tadhg
1. 3D Thermal Numerical Analysis of a
Densely Packed Concentrating Receiver
Marios Theristis, Michail E. Arnaoutakis, Nabin Sarmah, Tapas K. Mallick
and Tadhg S O’Donovan
4th ICAER
10-12th December 2013
IIT Bomday, Mumbai, India
3. Approach
•
NREL SMARTS model (AM1.5D) multiplied by a CR of 500x assuming uniform
concentration per nm
•
EQE data for (Ga0.35In0.65P/Ga0.63In0.17As/Ge) III-V cells (from literature)
•
Simulation of IV characteristics of each sub-cell and total electrical power output
estimation
2D and 3D Finite Element Analysis (FEA) of the thermal behaviour in COMSOL
Multiphysics
Thermal power as calculated from the electrical model is used as an input
Prediction of the cell’s surface temperature using a parametric study to vary the
ambient temperature and the convective heat transfer coefficient
8. Boundary Conditions of 2D single cell
model
No
1
2
3
4
Region
Back side of cell
Air gap
Cell’s surface
Sides of cell
5
6
Back plate
Air gap
InGaP
InGaAs
Ge
Adhesive
Material
Copper
Alumina
Copper
Boundary condition
Inflow heat flux as found from electrical model
Open boundary conditions with no shear stress
Surface to ambient radiation and natural convection
Perfect thermal insulation was assumed on the sides of the cell
and a no slip boundary condition was considered on the wall
Surface to ambient radiation and convection
Ambient temperature of 20-45oC
Air
13. Geometry & Boundary Conditions of 3D
Densely Packed Receiver
No
Region
Boundary condition
1
On top of cells
Inflow heat flux as found from numerical model
2
Ambient
Ambient temperature of 20-45oC
3
Cell’s surface
Surface to ambient radiation and natural convection
4
Sides of cell
5
Heat Sink
PV receiver components
1: Frame
2: Cover glass
3: Al2O3 ceramic
4: Solar cells
5: Copper plate
6: Aluminium heat sink
Heat is conducted through the layers
Surface to ambient radiation and convection
2
3
1
2
1
4
4
5
3
5
6
14. Results of 3D Model
(with an extensive surface – aluminium heat sink)
Tcell(hnat.conv)
5<=hconv<=25W/m2K
C=500x
Tcell(Tamb)
15<=Tamb<=45oC
C=500x
Tcell(C)
50<=C<=500 suns
hnat.conv=15W/m2K
C=500x
Tamb =15oC
hnat.conv=15W/m2K
15. Results of 3D Model
(without an extensive surface)
C=500x
Tamb =25oC
hf.conv=3.5kW/m2K
Tcell(hnat.conv)
0.5<=hf.conv<=7.5kW/m2K
C=500x
16. Results of 3D Single Cell Model
C=500x
Tamb =25oC
hconv=700kW/m2K
nopt(λ)=1 (will be added later on)
Unrealistic Scenario – NO current mismatch
Realistic Scenario - Current mismatch
17. Spectral irradiance within
various solar spectra*
*B. S. Richards, "Enhancing the performance of silicon solar cells via the
application of passive luminescence conversion layers," Solar Energy Materials
and Solar Cells, vol. 90, pp. 2329-2337, Sep 22 2006.
18. Discussion & Conclusions
A detailed integrated solar spectrum dependent thermal-electrical model was
described for a HCPV cell. This model can lead to the accurate quantification
of the thermal power which is needed to be dissipated, including the excess
thermal output due to current mismatch.
Passive cooling cannot dissipate enough heat from the densely packed
configuration since a minimum convective heat transfer coefficient of
2.5kW/m2K is needed from the candidate cooling system.
Passive cooling with (Rth<1.2K/W) is feasible for single cell geometries
however, the atmospheric conditions of the location (wind speed, ambient
temperature, etc) must be taken into careful consideration when designing a
receiver.
This study validates the results of our previous work, where real
meteorological data were used to predict the temperature distribution across
a solar cell and was suggested that a hconv of around 6kW/m2K should be
required from the cooling system in order for the cell to withstand the harsh
ambient conditions.
Here is just to describe the methodology - aim. The integrated modelling is like a circle where the ‘thermal parameters’ are affected from the ‘electrical’ and vice versa. So starting from the EQE, higher temperature will shift the response towards the longer wavelengths, therefore the current production on each subcell will change, hence the overall performance will be increased or decreased. Our aim is to keep some values constant and vary each parameter at a time in order to build a model to accurately quantify the CPV performance, including spectral variations and current mismatch.You can mention that III-V cells are used which are basicly 3 different cells on the top of each other, gallium indium phosphide, gallium indium Arsenide and Germanium at the bottom. Due to the series connections the total voltage output is equal to the sum of the three subcells while the total current output is restricted to the minimum.
I used the NREL SMARTS model to get the AM1.5D as an input to the model. This was multiuplied by 500x.External Quantum Efficiency (EQE) data were obtained from literature and the cell manufacturer (Azurspace).Then the numerical model simulated the IV characteristics for each sub-cell and also the total electrical power output. From that I could calculate the heat power which is left, and I imported it into a 2D FEA model in Comsol.Later on, I did a parametric study varying the ambient temperature and the convective heat transfer coefficient on the backplate.
EQE responses from each subcell. Top (red) medium (green) bottom (purple). And the AM1.5D spectrum under 500x concentration with blue colour.
This is the theoritical model – you dont need to discuss about the equivalent if you want. I think you know that better than me.
Results obtained from the electrical model. This is the current density production as a function of the spectrums wavelength. Germanium generates higher current density and that can be seen in the next slide.
Here again, Germanium generates almost 10A, however the total current output is limited to the lowest value of the Top and middle cells, which are current matched. Voltage is summed.The maximum electrical output power from the cell was found to be 18.55W while the minimum heat power which needs to be dissipated is 26.45W.
Now, having explained the electrical model, we will use those results as an input for the thermal model in comsol. These are the boundary conditions of the thermal model. Air gap is varied from 20-45oC in order to predict the convective heat transfer coefficient of the back plate (5).
Results of the Parametric study; The dotted line divides the hconv which can maintain the cell below 80oC. It can be seen that above 2.5kW/m2K, a cells temperature below 80C can be maintained. However since CPV applications are always installed in countries with high DNI, thus ambient temperature can be above 40oC, then the heat transfer coefficient should be above 6kW/m2K for safe operation under any circumstances.
Real data are used from Athens where the max ambient temp is 40+ and a hconv of 6kW/m2K is predicted.
Now, having explained the electrical model, we will use those results as an input for the thermal model in comsol. These are the boundary conditions of the thermal model. Air gap is varied from 20-45oC in order to predict the convective heat transfer coefficient of the back plate (5).
This slide shows the difference of the cell temperature when current mismatch is taken into consideration and when is not.
Future work; more profiles will be added in the model to predict the thermalbeahaviour.