Calculating the Electrical Energy Output of a Solar Panel
When choosing a rooftop solar panel, estimating the average daily electrical energy output is always a challenge. Data sheet of a solar panel specifies only the power output while it is the energy output that is required for sizing most applications. The purpose of this blog-post is to describe some basic principles that will help with the estimation of energy output. Once you know the expected average energy output, it is possible to size the panels for a particular application. If you want to skip all the theory, jump directly to this calculator where you can enter the parameters for your system to calculate the monthly and yearly output. To get a deeper understanding of the subject read on:
Power output of a solar panel is specified in Watts for Standard Test Conditions (STC). The STC corresponds to a solar insolation (radiation) of 1000 W/m2 and a cell temperature of of 25º Celsius. For instance, the LONGi LR6-72-340M panel is rated to produce 340 Watts when solar insolation is 1000 W/m2 and solar-cell temperature is 25º Celsius. This output power is rarely achieved in practice. There are several reasons for the reduction in output. Each of these reasons correspond to a down-rating factor to apply to the published power output:
- Solar insolation: An insolation of 1000 W/m2 is probably achieved in a desert when the sun is directly overhead! In practice, insolation varies considerably across the globe. Absorption of sunlight in air varies depending on the volume of air through which the sunlight passes. The volume depends on the latitude and the season. At latitudes far away from the equator, sun never comes directly overhead and the sunlight must pass through a larger volume of air. During the winter season, there is a further increase in the volume of air through which the sunlight must pass as the declination of sun in the sky is higher. Absorption in the atmosphere also depends upon factors such as humidity, dust particles and aerosols present in the air. Moreover, there are cloudy days, during which the insolation reduces significantly. Another factor that affects insolation is the horizontal tilt at which the solar panel is installed. For most locations in the northern hemisphere the panels must be facing south with a horizontal tilt that equals the latitude for the location for optimal average insolation. A horizontal panel may experience significantly lower insolation. Given these variables, how do we estimate the amount of energy that a solar panel will deliver? Thankfully, NASA has gathered data for solar insolation for almost every part of the globe and averaged it over 22 years. This data was gathered using satellites. For instance, here’s the data for Pune, India, and San Jose, California, USA.
Month | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Avg |
Pune, India kWh/m2/day | 6.09 | 6.45 | 6.75 | 6.63 | 6.34 | 4.31 | 3.46 | 3.39 | 4.47 | 5.51 | 5.83 | 5.77 | 5.41 |
San Jose, CA kWh/m2/day | 3.74 | 4.69 | 5.98 | 6.59 | 6.82 | 7.03 | 7.12 | 7.07 | 6.78 | 6.13 | 4.52 | 3.69 | 5.85 |
- Operating Temperature: A solar panel can never operate continuously at a cell temperature of 25º Celsius. In a tropical country like India, it is more common for the cell temperature to rise to above 50º Celsius. At this temperature, the power output from a solar panel is significantly less compared to that at 25º Celsius. For the LONGi solar panel, a 10% drop in power output is expected at the cell temperature of 50º Celsius. The cell temperature is strongly correlated with ambient temperature and hence with the weather for a given location. Secondly, the cell temperature varies throughout the day, which too makes it difficult to estimate the exact impact on output. However, it is possible to estimate the loss due to rise in cell temperature by using statistical analysis along with the average monthly weather data for a given location. The impact of weather on operating temperature and the output of solar panels is a topic of research. The details of this are beyond the scope of this blog. However, it can be assumed that for most tropical locations an impact of 5% to 12% (depending on the month) on output is expected. Certain locations with very cold weather may actually have a better power output as compared to STC conditions. For the purpose of this blog-post, a down-rating factor of 0.93 is assumed, which could correspond to a typical location in India in March.
- Electronics associated with using the energy produced by the solar panel can’t operate at 100% efficiency. However, well designed inverters operate at a very high efficiency, with many inverters claiming 96 to 98% efficiency. The inverters also track the peak power generation point of the solar panels. However, a small error in tracking is always possible. Considering these factors, a down-rating factor due to associated electronics is 0.96.
- Cabling Losses: Several solar panels are connected in series to form a system that operates at high voltage and (relatively) low current. Lower current implies a lower power loss in cables. For the purpose of this document, the cabling loss is assumed to be 2%, implying a down-rating factor of 0.98. The length and diameter of cables and configuration of a given system will decide the actual loss; but a down-rating factor of 0.98 is achievable.
- Dust and Cell Mismatch.: Solar panels collect a lot of dust and bird droppings on the glass surface. This reduces the output significantly. Even when the panels are cleaned periodically, some residue remains. Reduction in output of even a single solar cell affects the power output from the panel since all solar cells within the panel are connected in series. Reduction in current output causes a corresponding reduction in power and energy output of the panel. The reduction in output of a solar panel due to this factor is mostly a guess since conditions are different for every installation. It is assumed that the down-rating factor on this account will be 0.93.
- Aging: Output of solar panels reduces with age. The panels generally come with a guarantee of 90% output after 10 years and 80% output after 25 years. During the very first year of operation there is about 2.5% loss as the panels are exposed to sunlight. A down-rating factor of 0.975 is used for calculation for the first year of operation.
- COS(θ) Effect: During the course of the day, as the sun traverses the sky, angle of incidence of sunlight on the solar panel keeps changing. The angle of incidence is maximum early in the morning and late in the evening. Near noon, this angle is at a minimum and hence maximum solar radiation in incident on the panel. Thus, the 100W panel cannot output 100W throughout the day. This is called the COS(θ) effect, since the output is proportional to the cosine of angle of incidence. There is one more factor that results in another COS(θ) effect. Throughout the year, as seasons change, the declination of sun in the sky changes. This results in an additional cosine factor. The COS(θ) effect is taken into account in the insolation data reported by NASA for a given location. A separate down-rating factor is not necessary for this.
- Availability: A grid connected system operated only as long as the electric grid is available. Such a system is required to shut down when the grid is down. There could be other reasons such as faults, regular maintenance, etc. that may result in availability to be less than 100%. It is fair to assume 98% availability and hence a down-rating factor of 0.98
Calculation of Output:
Electricity output is obtained by multiplying the panel power rating by insolation and the total down-rating factor. The total down-rating factor is simply a multiplication of all the factors mentioned above. Temperature compensation is dependent on location and month. As a result, the total down-rating factor changes based on location and month. Let us calculate the output for Pune, India for the month of March:
total_down_rating_factor = 0.93 * 0.96 * 0.98 * 0.93 * 0.975 * 0.98 = 0.78
output for March = panel_rating * insolation * total_down_rating_factor * days
output for March = .340 kW * 6.75 * .78 *31 = 55.5 kWh
A similar calculation for San Jose, CA, with temperature compensation = 0.97 yields an output electrical energy of 51.1 kWh.
Yearly Output Calculation for Various Locations:
I am using this calculator to estimate the outputs. It provide estimates for almost any location in the world.
Location | Mumbai, India | Bengaluru, India | Kolkata, India | Delhi, India | Sunnyvale, CA | Tampa, FL | Seattle, WA | Phoenix, AZ | Sydney, Australia |
Yearly kWh for a 340 W panel | 588 | 502 | 461 | 513 | 513 | 536 | 370 | 559 | 479 |
Reference: Solar Generation Calculator