Skip to main content

Photovoltaics: Equivalent Circuit of a Solar Cell


In our previous postwe learned about the i-V characteristic of a solar cell. How can we simulate this characteristic in a circuit diagram? To answer this question we are going to look at the equivalent circuit of a solar cell. Let’s start with what we learned in the previous video. Here is the I-V characteristic of a solar cell. We can note the V_OC and I_SC that we described before. We can notice a few things about this plot. There is an exponential characteristic, and it is offset negatively somehow. So how can we represent this as a circuit model?



Those of you with an electrical engineering background may already realize that this resembles the characteristic of a diode, and that is exactly correct. A solar cell is, in fact a diode, and if the solar cell were in the dark, it would act, electrically, just like any other diode. However, illumination of the solar cell is what offsets it as we see here. So let’s take a look at how to model this electrically. 


Here you can see the so-called single diode model for a solar cell. There is a lot going on here, so let’s move through our schematic step by step. The first thing you may notice is the current source on the left side of the diagram. This represents the photocurrent generated through illumination which we call here,“i_ph.”.

Ideally we want to pass the photocurrent to our load represented in purple on the right. Next, we see a diode with a current “i_d” passing through it. This represents the solar cell diode characteristics in the dark. You will notice that this current is essentially a sink for the current. Some current will pass through this diode and this current does not reach the load. This actually represents the recombination that occurs in the solar cell and you will learn  a lot about this in the coming weeks in the semiconductor physics videos. Next we see two resistors. “R_P”, the shunt resistance. And “R_S” is the series resistance.

These two resistors are there because the solar cell is not an ideal diode. We will look into the sources of these resistances in the next slide. Lastly, in our schematic, we see our load. We can see a current across it, “i” and we see the voltage “V”. From this circuit we can then solve the equation for determining “i” as a function of “V”.I won’t go into the full derivation. 


But let’s take a closer look at this equation. Here you can see the equation for the single-diode model. I_naught is the dark saturation current. There will be a whole video on the importance of this parameter in a future video. ‘n’ is the diode ideality factor.

In general, this factor is set to 1 in this equation representing an ideal diode.‘q’ is the elemental charge of an electron. ‘k’ is the Boltzmann constant and ‘T’ is the temperature. Otherwise we can see the values for photocurrent, and the series and and shunt resistance. However, one final interesting note is that we can find ‘I’ in this equation. This makes the equation implicit, meaning that it cannot be solved algebraically. You will notice that this term only appears next to the series resistance terms so if we model the solar cell as ideal, this term would disappear and make the equation easier to solve. So let’s take a look at how these curves can be changed due to these resistances. First let’s examine the series resistance, “R_S”. R_S is caused by bulk resistances of the semiconductor materials and the metal electrodes.

The contact resistance between the semiconductor and the metal also influences R_S. You can see from this plot 
 


that as we increase our R_S from 0 up to 10 Ohms, the solar cell goes from a diode characteristic to an almost linear characteristic. We can easily see that increasing the series resistance decreases the maximum output power, even though the V_OC and the I_SC stay the same. Therefore, R_S only affects the fill factor of our solar cell. Next we look at the shunt resistance. If you remember, this resistance is parallel to our load so we actually want it to be as large as possible, otherwise it acts as a sink for current that will reduce power to the load. A reduced shunt resistance is caused by leakages across the P-N junction around the edges of the solar cell, or defects, pinholes and impurity precipitates in the semiconductor material.

You can see here that if we have a shunt resistance of 0, our solar cell hardly produces any power at all. As we increase our shunt resistance by orders of magnitude, we can see the shape of our curve return to that of an ideal diode. Now this single-diode model is good for electrically simulating a solar cell. However, sometimes it is insufficient. For this purpose we can increase the model’s complexity. Here you can see a very similar schematic to the single-diode model, but now there are two diodes.
 


The reason for this is that there are two sources for current sink in a solar cell and they need to be modelled separately. Diode 1 represents the dark diffusion current. This diode has an ideality factor of 1. Diode 2 represents the dark recombination current and will have an ideality factor greater than 1. Many times this second diode will have an ideality factor of 2, but we will learn in a future post that this is only true for very specific cases and is not always appropriate. When we have this new model, we get a more complex equation. The only main changes are that we have two separate dark saturation currents and two separate ideality factors

Comments

Popular posts from this blog

Photovoltaics: Band Diagram

In the previous post we discussed silicon, which is the most used material in photovoltaics. In this post, we introduce the band diagram, for which we will use silicon as an example. We will start our discussion of the band diagram with the Bohr model of the silicon atom. In semiconductor materials the outer shell of the atom, which is called the valence shell, is not completely filled. The outer shell of silicon contains 4 out of the possible 8 electrons, which we call valence electrons. As we discussed in the previous post, each silicon atom in a crystalline structure is bonded to four other silicon atoms. The bonds between the silicon atoms are called covalent bonds. These bonds actually consist of two valence electrons that are shared by two silicon atoms. All valence electrons are fixed in the lattice, forming covalent bonds, and are therefore immobile. However, at a temperature above absolute zero, thermal energy is supplied to these miconductor and some of the vale

Solar Cells Losses and Design Part 1

We have discussed some important properties of light and characteristics of the radiation of light by our sun. In this post, we will focus on converting that light to electrical energy. This is done using the photovoltaic effect. Photovoltaics covers the direct conversion of sunlight into electrical energy, by a semiconductor material. The term photovoltaics is derived from the Greek word ‘phos’ which means light, and volt, which refers to electricity, specifically voltage. Volt is a reference to the Italian physicist Alessandro Volta, who invented the battery photovoltaic effect that was discovered in 1839, by the French physicist Emond Becquerel. At the age of 19 Becquerel created the first photovoltaic cell by illuminating platinum electrodes, coated with silver chloride in an acid solution. This device was the first to convert light into electricity. The photovoltaic effect occurs through the generation of a potential difference at the junction of two different material

Black Carbon is Found in the Amazon River after Forest Fires

In addition to the tracks of destruction in the forest, the fires in the Amazon leave traces in the Amazon River and its tributaries. Incomplete burning of tree wood results in the production of a type of carbon - known as black carbon - that reaches Amazonian waters in the forms of charcoal and soot and is transported to the Atlantic Ocean as dissolved organic carbon. An international group of researchers quantified and characterized, for the first time, the black carbon that flows through the Amazon River. The results of the study, published in Nature Communications magazine, showed that most of the material transferred to the ocean is "young," suggesting that it was produced by recent forest fires. "We found through radiometric dating analysis [a method that uses the radioisotope of natural carbon-14 occurrence to determine the age of carbonaceous materials up to about 60,000 years] and molecular composition that the largest proportion of the black carbon we found