Designing bifacial PV power plants - Getting the details right! Part 2

17 August 2021 at Waaree

With almost all the new products (both cells & modules) being introduced in the market are bifacial, the technology is all set to dominate the PV market by the next decade. With such an advent, it is important for an end user to understand how optimally a bifacial module can be utilized for enhanced commercial returns. We in our previous blog titled "Designing bifacial PV power plants - Getting the details right! Part 1” introduced you to factors affecting the output of bifacial module & further also suggested the comprehensive range of those factors which can result in desiredoutput from a bifacial power plant. This part would introduce our end readers on the simulation study we carried out for bifacial power plant. It would educate its readers on the methodology we followed and assumptions we considered. In addition to it, this article would also point out the albedo dilemma in PVSyst and how can it be deciphered.


There are lot of recorded studies which detail the performance of bifacial module around the world however only a few of them have India as a focus. India is amongst the fastest growing PV market in the world. Further it is also the 7th largest country & houses almost all the type of climatic conditions. Such varied conditions packed in a single country makes it a suitable choice for studying performance of any solar power plant. In order to clearly distinguish the performance of a power plant, we carried out a simulation study by considering a power plant of a fixed capacity. 6 different location each based in the 6 different climatic zones (refer Figure 1) were selected for simulation.

·Hot & dry climatic zone

·Warm & humid climatic zone

·Moderate climatic zone

·Composite climatic zone

·Cold & sunny climatic zone

·Cold & cloudy climatic zone

For further details on the description of climatic zones, kindly refer to our article "Mono vs Poly – An introspective simulation study! – Part 1”

The Albedo dilemma in PVSyst

Albedo as we discussed in the last article has direct impact on the bifacial gain. Thus it is important to have a power plant which utilizes ground with high albedo values. While there are studies citing the bifacial gain at a given albedo, they may not always factor in all the components correctly. It is important to note, albedo is not constant but it changes considerably as the season varies throughout the year. This makes it important to simulate the power plant with correct albedo factored in. While simulating any power plant in PVSyst, location of the plant is recorded at initial steps. The associated climatic conditions of the location can be very well approximated from the software. Albedo can be very well associated with the climatic conditions as the ground type utilized in a bifacial power plant gets a cover (water in rains, snow – both fresh & old during winter, etc.). However when we use PVSyst specifically for a bifacial power plant, it only considers a fixed albedo throughout the year. Further while there is input of manually entering the albedo and changing it, the effects of climate & its associated considerations in the software clearly seem to lack.

In our study we considered the ground to be of concrete which has an albedo of 30% ± 5% under clear climatic conditions. Taking example of cold & sunny climatic zone, the site located in this area has fairly clear weather from May to September & the concrete ground remains exposed most of the times. The winter here starts in October where one can experience drop in temperature, however the ground cover doesn’t change. From November to January (sometimes even February) the location receives heavy to very heavy snowfall and hence the ground has a fresh snow cover which requires the albedo values to be updated for those months. For the next 3 months, the location may receive occasional snowfall and the ground would mostly have old snow cover which requires the albedo of the ground to be updated again to lower values. A similar exercise was done for each location selected in the particular climatic zone which enables us to be close to the actual energy production from a power plant (refer Figure 2). The input to zone wise season variations were collected from various open source platforms. The associated albedo for a particular zone were further calculated from various open source reports (PVSyst database, NREL, ARL-NOAA Research Laboratories).


                              Figure 2: Graphical comparision of albedo variation between PVSyst and various climatic zones