Solar cells convert light energy into electrical energy using the photovoltaic effect. They have increased in efficiency over time from initial efficiencies of 4-6% to over 50% efficiency now. There are three generations of solar cells: first generation use crystalline silicon, second generation use thin-film technologies like cadmium telluride and copper indium gallium selenide, and third generation are emerging technologies using organic materials. Solar cells work by using differently doped semiconductor materials to create a p-n junction, where photons create electron-hole pairs that generate voltage.
This ppt gives you the basic introduction, talks about it's inception, the basic physics behind it and mainly the fabrication process and after that it discusses the uses and future prospects of it.
The most common type of solar cells are Photovoltaic Cells (PV cells)
Converts sunlight directly into electricity
Cells are made of a semiconductor material (eg. silicon)
Light strikes the PV cell, and a certain portion is absorbed
The light energy (in the form of photons) knocks electrons loose, allowing them to flow freely, forming a current
Metal contacts on the top and bottom of PV cell draws off the current to use externally as power
Solar cell is the device that converts energy of light directly into electrical energy (electricity) by photovoltaic effect In general, a solar cell that includes both solar and non solar sources of light
(such as photons from incandescent bulbs) is termed a photovoltaic cell. Solar cell is also know as photovoltaic cell
Most familiar solar cells are based on the effect
of photovoltaic In this effect, light falling on semiconductor device of the two layer produces a potential difference or photo voltage between the layers The voltage thus produced can drive a current through an external circuit producing useful work
This ppt gives you the basic introduction, talks about it's inception, the basic physics behind it and mainly the fabrication process and after that it discusses the uses and future prospects of it.
The most common type of solar cells are Photovoltaic Cells (PV cells)
Converts sunlight directly into electricity
Cells are made of a semiconductor material (eg. silicon)
Light strikes the PV cell, and a certain portion is absorbed
The light energy (in the form of photons) knocks electrons loose, allowing them to flow freely, forming a current
Metal contacts on the top and bottom of PV cell draws off the current to use externally as power
Solar cell is the device that converts energy of light directly into electrical energy (electricity) by photovoltaic effect In general, a solar cell that includes both solar and non solar sources of light
(such as photons from incandescent bulbs) is termed a photovoltaic cell. Solar cell is also know as photovoltaic cell
Most familiar solar cells are based on the effect
of photovoltaic In this effect, light falling on semiconductor device of the two layer produces a potential difference or photo voltage between the layers The voltage thus produced can drive a current through an external circuit producing useful work
All about the solar cell for the purpose of usage of solar cells and solar battery bank.if we want to take knowledge for a solar then we should need to know about the conversation of solar energy into electrical energy .
This is not an efficient conversation of energy because the conversation of solar energy in to electrical energy gives the output only 18% output
introduction,advantage and disadvantage of solar energy,Generation of solar cell: 1st 2nd 3rd generation solar cell , I-V characteristics, working,application, efficiency data and advantage solar cell.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
2.
Solar cell is a photovoltaic device that converts the light
energy into electrical energy based on the principles of
photovoltaic effect.
Albert Einstein was awarded the Nobel Prize in 1921 in
physics for his research on the photoelectric effect—a
phenomenon central to the generation of electricity
through solar cells.
In the early stages, the solar cell was developed only with
4 to 6 % efficiency( because of inadequate materials and
problems in focusing the solar radiations). But, after 1989,
the solar cells with more than 50% efficiency was
developed.
What is a solar cell?
3.
First generation solar cells are made of crystalline silicon,
also called, conventional, traditional, wafer-based solar
cells and include monocrystalline (mono-Si) and
polycrystalline (multi-Si) semiconducting materials.
Second generation solar cells or panels are based on thin-
film technology and are of commercially significant
importance. These include CdTe, CIGS and amorphous
silicon.
Third generation solar cells are often labeled as emerging
technologies with little market significance and include a
large range of substances, mostly organic, often using
organometallic compounds.
Generation growth of
solar cells
4.
5. Over 95% of all the solar cells produced worldwide are composed of the
semiconductor material Silicon (Si). As the second most abundant
element in earth`s crust, silicon has the advantage, of being available in
sufficient quantities.
To produce a solar cell, the semiconductor is contaminated or "doped".
"Doping" is the intentional introduction of chemical elements into the
semiconductor.
By doing this, depending upon the type of dopant, one can obtain a
surplus of either positive charge carriers (called p-conducting
semiconductor layer) or negative charge carriers (called n-conducting
semiconductor layer).
Production of solar cells
6. • If two differently contaminated semiconductor layers are
combined, then a so-called p-n-junction results on the
boundary of the layers.
• By doping a trivalent element, we get p-type semiconductor.
(with excess amount of hole)
• By doping a pentavalent element, we get n-type
semiconductor ( with excess amount of electron)
n-type semiconductor
p- type semiconductor
p-n junction layer
7. Photovoltaic Effect
Definition:
The generation of
voltage across the
PN junction in a
semiconductor due
to the absorption of
light radiation is
called photovoltaic
effect. The Devices
based on this effect
are called
photovoltaic devices.
Light
energy
n-type semiconductor
p- type semiconductor
Electrica
l Power
p-n junction
8.
9.
10. Electron-Hole formation
O Photovoltaic energy conversion relies on
the number of photons strikes on the
earth. (photon is a flux of light particles)
O On a clear day, about 4.4 x 1017 photons
strike a square centimeter of the Earth's
surface every second.
O Only some of these photons - those with
energy in excess of the band gap - can be
converted into electricity by the solar cell.
11. hole
Valence band
Conduction band
electron
• When such photon enters the semiconductor, it may be
absorbed and promote an electron from the valence band to
the conduction band.
• Therefore, a vacant is created in the valence band and it is
called hole.
• Now, the electron in the conduction band and hole in
valence band combine together and forms electron-hole pairs.
14. •Materials for Solar cell
•Solar cells are composed of various semiconducting
materials like
1. Amorphous/Crystalline silicon
2. Cadmium telluride
3. Copper indium diselenide
4. Gallium arsenide
5. Indium phosphide
6. Zinc sulphide
•Note: Semiconductors are materials, which become
electrically conductive when supplied with light or heat, but
which operate as insulators at low temperatures.
24. The structure of an MJ solar cell. There are six important types of layers: p-n junctions,
back surface field (BSF) layers, window layers, tunnel junctions, anti-reflective coating
and metallic contacts. (b) Graph of spectral irradiance E vs. wavelength λ over the AM
1.5 solar spectrum, together with the maximum electricity conversion efficiency for
every junction as a function of the wavelength
25.
26.
27.
28.
29. Solar pumps are used for water supply.
Domestic power supply for appliances include
refrigeration, washing machine, television and lighting
Ocean navigation aids: Number of lighthouses and
most buoys are powered by solar cells
Telecommunication systems: radio transceivers on
mountain tops, or telephone boxes in the country can
often be solar powered
Electric power generation in space: To providing
electrical power to satellites in an orbit around the Earth