Next Article in Journal
Integrated Petrophysical Analysis and Reservoir Characterization of Shaly Sands in the Srikail Gas Field, East Central Bengal Basin, Bangladesh
Previous Article in Journal
Estimation of Growth Parameters of Eustoma grandiflorum Using Smartphone 3D Scanner
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Bifacial Solar Modules Under Real Operating Conditions: Insights into Rear Irradiance, Installation Type and Model Accuracy

by
Nairo Leon-Rodriguez
1,*,
Aaron Sanchez-Juarez
1,*,
Jose Ortega-Cruz
1,
Camilo A. Arancibia Bulnes
1 and
Hernando Leon-Rodriguez
2
1
Renewable Energy Institute, National Autonomous University of México, Temixco 62580, Mexico
2
Faculty of Engineering, Nueva Granada Military University, Bogotá 110111, Colombia
*
Authors to whom correspondence should be addressed.
Eng 2025, 6(9), 233; https://doi.org/10.3390/eng6090233
Submission received: 29 July 2025 / Revised: 26 August 2025 / Accepted: 3 September 2025 / Published: 8 September 2025

Abstract

Bifacial Photovoltaic (bPV) technology is rapidly becoming the standard in the solar photovoltaic (PV) industry due to its ability to capture reflected radiation and generate additional energy. This experimental study analyses the electrical performance of bPV modules under specific installation conditions, including varying heights, module tilt angles (MTA), and surface reflectivity. The methodology combines controlled indoor testing with outdoor experiments that replicate real-world operating environments. The outdoor test setup was carefully designed and included dual data acquisition systems: one with independent sensors and another with wireless telemetry for data transfer from the inverter. A thermal performance model was used to estimate energy output and was benchmarked against experimental measurements. All electrical parameters were obtained in accordance with international standards, including current-voltage characteristic (I–V curve) corrections, using calibrated instruments to monitor irradiance and temperature. Indoor measurements under Standard Test Conditions yielded at bifaciality coefficient φ = 0.732 , a rear bifacial power gain B i F i = 0.285 , and a relative bifacial gain B i F i r e l = 9.4 % . The outdoor configuration employed volcanic red stone (Tezontle) as a reflective surface, simulating a typical mid-latitude installation with modules mounted 1.5 m above ground, tilted from 0° to 90° regarding floor and oriented true south. The study was conducted at a site located at 18.8° N latitude during the early summer season. Results revealed significant non-uniformity in rear-side irradiance, with a 32% variation between the lower edge and the centre of the bPV module. The thermal model used to determine electrical performance provides power values higher than those measured in the time interval between 10 a.m. and 3 p.m. Maximum energy output was observed at a MTA of 0 ° , which closely aligns with the optimal summer tilt angle for the site’s latitude. Bifacial energy gain decreased as the MTA increased from 0 ° to 90 ° . These findings offer practical, data-driven insights for optimizing bPV installations, particularly in regions between 15 ° and 30 ° north latitude, and emphasize the importance of tailored surface designs to maximize performance.

Graphical Abstract

1. Introduction

Unlike traditional Monofacial Photovoltaic (mPV) modules, Bifacial Photovoltaic (bPV) technology generates electricity on both sides of their solar cells, capturing direct and reflected sunlight from the surrounding environment, particularly in areas with high ground reflectivity [1,2]. This distinctive feature allowed bPV to be highly versatile, supporting integration into buildings (BIPV) [3,4], agricultural settings (agrivoltaics) [5,6], space projects [7], floating systems on water bodies [8,9], vertical installations in rural or urban areas [10,11], and large-scale power plants [12,13]. As a result, bPV modules have become the new industry standard, meeting the demands of the rapidly growing solar market [14].
According to [15], bPV modules led the market in 2024 with about 64% and are expected to dominate by 2035, achieving a market share of 81%, while bifacial cells will represent 95% of the market, leaving only 5% for traditional mPV technology. The global bPV market was valued at USD 184.8 billion in 2024 and is estimated to grow at a compound annual growth rate (CAGR) of 9.2% from 2025 to 2034 [14] with the most optimistic scenario projecting a growth of up to 18.7% to 2032 [16]. The need for higher power in utility-scale projects, aimed at optimising the active module area, is expected to further accelerate bPV adoption [14].
Furthermore, the Top Listing records of [17], which quantifies the most efficient and powerful modules in the world market, demonstrate the dominance of bifacial technology among premium products: of the 50 most powerful and efficient modules of 32 manufacturers, 45 are bifacial. It seems that this technology has an open road to dominate the market because during calendar week 44 of 2024 [18], the prices of monofacial and bifacial passivated emitter and rear cell (PERC) p-type modules converged approximately 0.094 USD/W, marking around these dates the lowest price ever recorded for photovoltaic (PV) modules.
Despite their growing prominence, market projections, historical price drop, and wide variety of manufacturers and module options, bPV manufacturers have left a notable gap in their product documentation on bifacial power capacity and energy yield. Firstly, perhaps for marketing reasons, no installation conditions are included for the estimation of the rear power, and only the front power is guaranteed with a general tolerance of +5%.
Furthermore, not all manufacturers report the energy gain of the rear side, and those that often do, present it with electrical gains in current and power as a constant percentage relative to the front side, while assuming a fixed open-circuit voltage ( V o c ), an assumption that does not reflect real operating conditions. However, this proportional relationship lacks substantiation as manufacturers do not provide corroborating evidence such as rear-side I-V curves or comprehensive performance data that would validate these claimed proportional gains. Those external factors combined with limited information on optimal installation conditions make it difficult for end-users to make informed decisions. In addition, manufacturers’ installation manuals typically provide only conventional mechanical recommendations without geometric installation guidelines that would maximise the power output of these components. The absence of clear technical installation criteria further hinders the identification of the most suitable module for a given application, adding even more uncertainty to the selection process.
In recent years, bPV technology has been the subject of various and diverse experimental studies to validate this additional gain, related to installation sites, installation height, and reflective surfaces (albedos), all of which influence its electrical performance and cost effectiveness [19], almost always compared to mPV technology. The gain reported in the production of bPV energy under special conditions is around 15%, but can reach 30–35% with the use of single-axis tracking systems [20]. However, the gains cannot be generalised since the studies have been diverse in numbers of modules and positions, e.g., using a single module in general [1,21,22,23], using reflective materials on the floor [24], in desert conditions [25], passing through 6-module arrays on vertical trackers [26] or arrays of 9 horizontal fixed modules [27,28], and arrays of 22 vertical modules with single tracker [29].
Moreover, several studies [27,28,29,30] evaluated horizontally installed bPV modules to avoid row shading, but this orientation diverges from standard industry practices and may limit the representativeness of the results. Portrait installations use less material, require less space, and experience fewer soiling and structural issues. Additionally, the full-cell modules used in those studies are more vulnerable to shading losses due to their single-string configuration. In contrast, our use of half-cut modules combined with a carefully designed structure improves shading resilience and better reflects real-world performance, offering a key methodological advantage.
In addition, some other studies focus on isolated modules [23,24,25]. As shown by [31], subsequent irradiance in a central module within a 7-row array of 10 modules can receive up to 50% less radiation compared to single-module studies. Since real-world PV systems typically consist of multiple modules as in distributed generation facilities, measuring a central module in a three-module setup better reflects actual irradiance conditions and performance, resulting in more representative and reliable data.
Finally, very few studies take into account the entire preconditioning process of bPV modules before their evaluation of outdoor performance, and some others have focused on applying standardised measurement corrections. For example, [26] used the IEC 60981 [32] standard for this purpose, while [33] conducted controlled laboratory experiments based on the standard draft IEC-TS 60904-1-2, and by testing a variety of configurations, the study concluded that the rear irradiance non-uniformity should be better accounted for.
The technical specification IEC TS 60904-1-2 [34], which is the standard for this technology, suggests calculating the Maximum Bifacial Power P m a x B i F i using a reference rear-irradiance of 135 W/m2. However, this implies challenges for designers and installers, because rear irradiance is often not precisely known, and for that, adequate measurement equipment is frequently unavailable. Even when radiometers are used, accurate irradiance determination depends on several variables, since measurements must be taken at specific multiple points even for extended periods to achieve adequate accuracy and can become cost prohibitive. These can lead to overestimations or underestimations in system design. In addition, most meteorological stations do not measure albedo, adding further uncertainty. Irradiance also varies daily with seasonal changes and cloud cover, which affects the reflected irradiation data necessary to estimate bifacial performance. As a result, significant challenges remain in accurately simulating the performance of bifacial modules [20].
In response to the urgent need to bridge the persistent divide between manufacturers’ information, theoretical potential, and industry demands, and adequately estimate the performance in the real-world environment of evolving bPV technologies, this study presents a well-structured and rigorous methodology for measuring the performance of the bPV module under indoor and outdoor conditions based on international standards with detailed empirical observation. Our objective is to determine the energy gain of bPV modules under specific geometric installation conditions, by measuring the instantaneous maximum power, and to compare this with theoretical estimates derived from mathematical models. Furthermore, verify whether these proposed models are suitable for accurately predicting the energy output of bPV systems deployed in geographic locations between 15 ° and 30 ° latitude.
The present study carefully integrates multiple layers of analysis, from preconditioning, laboratory parameter correction, and outdoor testing on a specific surface that varies in tilts and heights. The indoor evaluation encompassing from visual inspection to the verification of electrical parameters supplied by the manufacturers significantly strengthens the reliability of subsequent outdoor measurements. Through this systematic approach, the study not only scrutinises the manufacturer’s technical datasheet claims but also enriches the empirical understanding of bPV energy and power output in full-day cycles. This methodology provides practical insights for installers, bPV system designers, and researchers by offering a hands-on perspective that helps inform and optimise bPV configurations based on tangible field-validated data before exposing the bPV modules to real environments. The study stands out for its sophisticated instrumentation and strong emphasis on practical implementation, while the inclusion of a mathematical model further supports the analysis by enabling meaningful comparison between measured and estimated energy outputs.

2. Theory on bPV Modules and Methodology of Analysis

The maximum instantaneous power generated by a bPV module represented by P c a l c b P V following [35,36] is given by Equation (1) where P P F is the Frontal Peak Power, G F is the Frontal Irradiance, G R is the Rear Irradiance, φ is the Bifaciality Coefficient obtained following the technical specification [34], G S T C is the Standard Test Condition Irradiance, γ is the thermal Coefficient of the Power, T m is the instantaneous Temperature of the Module, T S T C is the STC temperature.
P c a l c b P V = P p F G F + φ · G R G S T C [ 1 + γ ( T m T S T C ) ]
Equation (1) is named in this study as a Bifacial Thermal Performance Model (BTPM) and is used to compare the maximum power obtained by calculation with the maximum power measured by sensors and the obtained with the inverter.
For mPV, P c a l c m P V has the same procedure following Equation (1) but using G F instead of the Equivalent Irradiance G E defined as G E = G F + φ · G R where φ = 0 .
A notable advantage is that all the variables involved in this expression could be measured for each height and tilt angle condition, and the bifaciality φ was calculated following [34] and compared with the technical datasheet of the manufacturer.

3. Modules, Equipment and Experimental Procedures

The electrical performance characterisation of the bPV under study, labelled bPV1, was performed under controlled environmental conditions in the laboratory (indoor) and an open-air (outdoor) environment. A comprehensive description of the equipment and the experimental procedures is described as follows:

3.1. Modules and Inverters

The bPVs used in the tests are composed of Monocrystalline Silicon (m-Si) with PERC solar cells, arranged in 144 half-cells, and were also chosen with junction boxes that did not provide shadows in any portion of the rear cells. The selected modules include performance data for the rear side under STC in the datasheet, a critical feature that is not provided consistently by all manufacturers. In order to compare the data captured, an mPV PERC was also used. A summary of the module data specifications is presented in Table 1.
To know the maximum power generated by the PV modules under real operational conditions, the output of the circuit module was connected to a load. To achieve this, a grid-tie micro inverter was chosen with four (4) DC input circuits, each with a Maximum Power Point Tracker (MPPT). Sensors were installed to measure voltage and current in the Maximum Power Point (MPP) of the PV module in the Direct Current (DC) input circuit of the inverter to continuously measure these electrical parameters; while the DC input power of the inverter was captured wirelessly through a Data Transfer Unit (DTU) of the inverter. The power and energy production of the modules were determined using the collected data for comparison. The nominal efficiency of the MMPT inverter, according to the datasheet, reaches 99.8%. This high efficiency allows for the assumption, with a high degree of reliability, that the inverter consistently maintains tracking of the MPP on the current–voltage curve.
Due to this capability being crucial for optimising energy harvesting and ensuring that the collected data accurately reflect the peak performance of the PV system under the given conditions, the MPPT efficiency provided by the manufacturer was only referenced and was not incorporated into the calculations. The data provided by the inverter must be assumed to operate near the MPPT with the stated tracking efficiency. Although inverter efficiency was not verified within the scope of this study, the manufacturer indicates a certificate of conformity to the standard IEC 61683:1999 [37] to measure the efficiency of power conditioners used in standalone and utility-interactive PV systems: www.hoymiles.com/uploadfile/1/202506/fbca5a71fc.pdf (accessed on 25 July 2025).

3.2. Laboratory Equipment and Setup for Indoor Test

All STC measurements for the PV modules were conducted in an indoor laboratory under controlled temperature conditions. The facility features a class BAA continuous solar simulator with a ( 2.0   ×   2.0 m2) test surface and an I-V curve tracer that provides exceptional accuracy for precise curve measurements, Figure 1 shows the solar simulator and peripheral systems used to plot the IV curves of the PV modules. Calibrated m-Si reference solar cells measure incident irradiance from the solar simulator, whereas T-type thermocouples monitor (Tm), with both systems integrated into the curve plotting equipment. All instrumentation used for I-V curve measurements complies with the requirements specified in the IEC-60904-1 standard.

3.3. Laboratory Equipment and Experimental Procedures for Outdoor Test

The experiments were carried out on a ground-level platform at the Renewable Energy Institute of the National Autonomous University of Mexico (IER-UNAM) located at (Latitude: 18.8 N, Longitude: −99.2 W). The thermocouple calibration process, the work m-Si solar cells, and the voltage and current sensors were calibrated prior to the experiments according to national and international standards, all indicated in the methodology. The datasheet of the modules under test, bifacial and monofacial conditions, are presented in Table 1.

3.3.1. Structure and Geometric Conditions

A telescopic structure was carefully designed to install the PV modules. Consider two degrees of freedom to support three PV modules and to maintain a clear area that prevents direct shading on the rear side of the bPV modules. Figure 2 shows the structure installed with a size of ( 2.0   ×   1.0   m2). The structure allows the frontal plane of the PV modules to be tilted at angles 0 ° to 90 ° (where 0 ° represents a horizontal position and 90 ° a vertical position, referring to the ground) and elevated from the middle point in increments of 0.5 m, ranging from (0.5–2.0 m) in height. Both the Module Tilt Angle (MTA) and the module installation height (H) from the centre refer to the ground where the reflective surface is located.
The PV modules were mounted in a south-facing orientation in portrait mode with an azimuth of 180 ° . This configuration was selected based on two key considerations. First, vertical orientation is the most prevalent style of module installation in large-scale solar plants, typically arranged in rows of two. This setup optimises space under real installation conditions, allowing a greater number of PV modules to be aligned along the torque tube on a utility scale and saving structural material in residential applications. Currently, the market lacks specialised structures for bPV modules in small-scale generation applications. A very comprehensive study of the effect of the torque tube on the rear irradiance received by the bPV was carried out by [39].

3.3.2. Optical Reflection of Surface (Tezontle)

The reflective surface (volcanic red stone-Tezontle) were selected according to the following criteria: it is a low-cost natural material commonly used for architectural applications, has stable colour characteristics over time, is resistant to dirt, does not degrade in texture or size, and is not affected by humidity. These properties make it suitable for its uniform optical properties in outdoor conditions, which in all its types presents a very similar albedo value worldwide. This material was placed underneath the bPV modules, covering an area of 16 m2. The albedo value found in this study for Tezontle is 0.144, averaged on the full Julian day 185 at the tilt 0° of the reference cells with respect to the horizontal position with height 1.5 m. This value falls within the range of cement slabs (0.12–0.17) and below that of grass (0.21–0.27) according to studies of [40].
A typical albedo value used for various types of surfaces is 0.2, which has been widely adopted by PV design tools, such as PVSyst [41] or SAM software, and bPV system designers as a default value. However, authors such as [42] have questioned the use of this fixed value, arguing that it can lead to a significant overestimation or underestimation of the results. In studies on solar radiation models, ref. [42] highlight that albedo can vary considerably depending on the type of surface and local conditions, so the use of a constant value of 0.2 can introduce errors in energy performance calculations. Based on these considerations, this study chooses to continuously measure global and reflected radiation from the ground to calculate albedo, considering this as a time-dependent parameter [21,24].

3.3.3. Data Capture Systems

In this study, three data acquisition systems were implemented in two distinct test benches: an Advantech system to collect electrical data every 5 min, an Omega TC08 system to collect temperature data every 2 min, and a Data Transfer Unit (DTU) directly connected to micro inverters. The connection diagram for data acquisition and test entrance components, as well as the installed sensors and data loggers, is presented in Figure 3. To streamline processing, the electrical data were averaged at 15 min intervals. Some data were collected from the meteorological station ESOLMET located 125 m from the experiment. Meteorological data can be consulted and reviewed with prior registration at https://esolmet.ier.unam.mx/Tipos_consulta.php (accessed on 25 May 2025).
The sensors used for current and voltage measurements are transducers designed to produce a (4–20) mA DC signal output that is linearly proportional to the input current or voltage. These sensors were chosen based on the maximum current and voltage values of each module, as well as their low error margin of 1.0 % .

4. Experimental Methodology

The experiments were achieved following sequential steps shown in Figure 4.
Stage 1: To ensure the optimal performance of the PV modules during the testing, a three-step verification protocol was implemented upon receiving the modules. First, a cleaning process and a comprehensive visual inspection were performed to verify the physical integrity of the module, following the guidelines outlined in IEC 61215-1 [43]. The protocol continues with an electroluminescence test according to IEC 60904-13 [44]. The purpose of this test is to identify potential microcracks that are not detectable by the human eye. Third, the modules were preconditioned according to [43] by being exposed to sunlight to receive an approximate cumulative energy of 10 kWh reached in two days for mPV, and four days for bPVs on both faces. Preconditioning helps to electrically stabilise the cell’s performance and mitigate potential degradation effects before rigorous testing or real conditions deployment. This step is crucial because initial exposure to light can cause changes in the electrical characteristics of the module, a phenomenon known as light-induced degradation (LID), particularly in technologies such as PERC and heterojunction technology (HJT), which are silicon materials commonly used in bPV modules.
After the cell calibration process, the thermocouples and sensors in stage 2, indoor tests were carried out in stage 3. In this step, the power of light in the solar simulator must be verified by comparison with a previously calibrated solar reference module. The bifaciality coefficients of the modules and I-V curve for both sides were measured according to the bifacial standard [34]. These tests were implemented under STC conditions in the solar simulator. The data collected from I-V curves were adjusted and corrected for each side of the module to STC, based on the standard IEC 60891:2022 Method 4 [32]. The results obtained (stage 4) for the indoor test measurements allow us to determine the ideality factor, the series resistance ( R s ), and the bifaciality factors ( φ ) for the current (I), voltage (V) and power (P).
Outdoor tests were carried out in stage 5 to determine the power output of the bPV modules. Current and voltage sensors were installed in the input DC circuits of the inverter, which measured the voltage and current at maximum generated power. T-type thermocouples were installed on the back of the modules in one central cell, and two m-Si work cells were installed as an albedometer on the bottom edge of the mPV reference module, coplanar to its surface, to collect global and rear irradiance (diffused and reflected from the ground). Data processing was carried out, incorporating results from the inverter, sensors, and the bifacial power model.
The experimental data collected were used to compare three different datasets (stage 6): those calculated by the model, those recorded by the installed sensors, and those captured by the inverter. This comparison offers a comprehensive assessment of system performance and serves to validate the accuracy of both the estimated and the measurement values. The final results are presented for all conditions used: surface for the reflection process located on the ground; height 1.5 m and tilt angle range from 0° to 90°.

5. Results and Discussion

In the experimental trials, three different PV modules of various manufacturers were used. The mPV1 was set as a reference, while the two bPV modules were evaluated for their performance. All the following analysis and results presented are referred to the bPV1 module located in the middle of the array shown in Figure 2.

5.1. Electrical Performance at Indoor Test

Following the methodology outlined in Figure 4, and after verification and preconditioning, the electrical performance of the PV modules was evaluated. The modules were mounted coplanar to the surface of the solar simulator. The temperature was measured using a T-type thermocouple, and irradiance was recorded using a calibrated reference cell. The electrical performance of the bPV modules was measured separately for the front and rear sides. During front-side measurements, the rear was covered, and vice versa for the rear-side measurements.
The I-V curve was obtained at normal incidence irradiance G F and module temperature T m , and the data collected were translated into STC conditions. As an example of the behaviour of electrical properties, Figure 5a shows the I-V curve of bPV1 for the front side, measured at G F = 1089 W/m2, T m = 25.3 °C and corrected for STC. Figure 5b shows the I-V curve of bPV1 for both front and rear sides at different irradiance levels and also a modelled with the de-Soto model [45], plotted I-V curve at STC from manufacturer specification data.
The uncertainties in the measurements were determined from the uncertainty in the measurement equipment; the values are presented as follows: in voltage ± 0.2 % , in current ± 0.1 % , in power ± 0.3 % , and in temperature ± 1.0 °C.
Table 2 summarises the results of the indoor test for the bPV1 and mPV1 modules, with all measured values adjusted to STC. In these results, the Percent Difference ( D % ) is reported as D % = ( X Y ) / Y   % according to [46] where X is the experimental value and Y is the theoretical value of the technical datasheet.
The results of the electrical parameters for bPV and mPV compared with those provided by the manufacturer in their specification sheet ( P p , V m p , I m p , V o c , I s c ) are highly consistent, with no difference exceeding 7.4% in all parameters. Regarding the bifaciality coefficient, the difference is −5.1%, which is within the manufacturer’s specified tolerance range.

5.2. Analysis of the Bifaciality

The bifaciality coefficients φ I s c = I s c R / I s c F , φ V o c = V o c R / V o c F and φ P m a x = P m a x R / P m a x F were calculated using the values I s c and P m a x obtained from the current (I) vs. voltage (V) measured under STC conditions; both for the front and rear sides of the bPV modules.
The collected values were I s c , V o c and P m a x in both cases, and the bifaciality coefficients were calculated with the following result values: φ I s c = 0.732 . φ V o c = 0.988 and φ P m a x = 0.735 .
The coefficient reported based on IEC-TS [34] is 0.732 ± 0.002 . This value is equivalent to the manufacturer’s reported value, which is φ P m a x = 0.7 ± 0.035 on its specification sheet. The experimentally determined bifaciality (73.2%) is consistent with the manufacturer’s specification, falling within the expected tolerance range and indicating both satisfactory module performance and measurement methodology.
The Rear Irradiance Power Gain coefficient (BiFi) of the modules is determined according to IEC-TS [34] from the slope of the behaviour of P m a x B i F i vs. G R , where G R is the irradiance applied on the rear side of the bPV1 module with values lower than 200 W/m2, starting with the point (0, P m a x F ), where P m a x F is the maximum frontal power in STC, in this case P m a x F = 407.64 W.
Since the solar simulator used in these experiments has a lower limit of 200 W/m2, to attenuate this value, some meshes with different shading factors were used for each one, the I-V curve was traced and the values of P m a x B i F i were identified. The behaviour of P m a x B i F i vs. G R for the collected data, which is a linear relationship, is shown in Figure 6.
According to IEC-TS [34], a straight line must be drawn between these points, and its slope provides the BiFi power gain coefficient of the module. It was determined that B i F i = 0.285 with a coefficient of R 2 = 0.99 .
As a consequence of the previous result, the maximum bifacial power that the bPV1 module could generate as a function of G R is given by Equation (2):
P m a x B i F i = P m a x F + B i F i · G R
Using Equation (2), for bPV1 it was obtained P m a x B i F i = 407.64 + 0.285 · G R , which is valid with an uncertainty of 0.3%.
According to the IEC-TS recommendation [34], the average reflected irradiance received by the rear side of a bPV module is approximately G R = 135 W/m2. Therefore, the maximum bifacial power to be reported should correspond to this irradiance condition. Based on the graph in Figure 6 and Equation (2), the module under study yields a maximum bifacial power of P m a x B i F i = 446.1 W.
However, a more realistic approximation of the power gain should be made with respect to the contribution of rear radiation and not as a percentage of the front power as specified by the manufacturer. A summary of the results obtained with P m a x B i F i and those provided by the manufacturer is shown in Table 3.
The B i F i r e l given by B i F i r e l = P m a x B i F i / P m a x F 1 · 100 % for the bPV module under study has a value of 9.4%, which is the power gain generated by bPV compared to frontal power. Although the standards do not specify it, the relation B i F i r e l could be considered the updated expression for what is known in the literature as Bifacial Gain (BG), which is a term widely expanded in a large part of the research on this technology. Here, B i F i r e l is relative to the front side of the same module and is not referred to a mPV module of the same power.
Taking into consideration the previous results, manufacturers should provide in their module’s datasheet the equation that determines the power gain under STC conditions, i.e., Equation (2), which would be the maximum value that the bPV module can generate. In this way, designers and end users of the technology could have a more precise estimation of power generation than is currently indicated by manufacturers.
Under normal operating conditions, the bPV module should be installed with optimal geometric conditions suited to the installation site to capture the maximum amount of reflected irradiance from the rear side, since the way the module perceives such irradiance depends on both the Angle of Incidence (AOI) and the type of surface or albedo of the site. Under such geometric installation conditions, the model described by the IEC-TS [34] can provide the bifacial power more accurately and for that; it is necessary to measure the rear and front irradiance at the same time with the geometric installation conditions.
Analysing the expressions for the maximum power Equations (1) and (2) and considering STC without thermal effects, both expressions show consistency in their results: P c a l c b P V = 447.9 W with Equation (1) and P m a x B i F i = 446.1   W with Equation (2); obtaining a difference of 0.4%. This indicates that the consistency in the expressions fundamentally depends on the way the irradiance is measured on the rear side of the bPV module. For this purpose, the following studies were conducted in this work.

5.3. Procedure to Measure Front and Rear Irradiance

In order to determine the energy produced by the bPV module in a given location, it is necessary to study the daily behaviour of the power generated from field measurements. This requires considering the geographic coordinates, environmental conditions, and solar resource of the location. In addition, it is essential to select the appropriate geometric conditions for the installation of the bPV module. For this study, it was decided to measure both the global irradiance that will strike the front face of the bifacial modules and the solar irradiance from reflections off the installation site surface, which will strike the rear side of the modules.
Frontal global and reflected solar irradiance by the surface in this study were measured using calibrated m-Si work cells adapted in the shape of an albedometer, one cell on top of the other, one of them facing the sky to measure frontal global irradiance and the other facing the floor to measure reflected irradiance by the surface, both coplanar to the module. The albedometer-configured work cells were located at the bottom of the modules, in the area closest to the ground, according to IEC-TS [34]. The arrangement and location of the work cells is represented as “S” in Figure 2; and both measure exactly the amount of frontal global ( G F Cell-Up) and rear reflected ( G R Cell-Down) solar irradiance that the bPV modules perceive.
An example of the behaviour of the measured irradiance G F (blue line), G R (green line) and G T (red line), where G T = G F + G R as total irradiance; and G G (black line) the global horizontal irradiance, as a function of the hourly time that the bPV modules will receive, is presented in Figure 7 for (Tezontle) as reflective material, at different MTAs for H = 1.5 m. The MTAs ranged from 0° to 90° in steps of 15°; one angle per day. The experiments were carried out at latitude 18.9° N and longitude 99.2° W, starting with Julian day 185 (MTA = 0°) to Julian day 192 (MTA = 90°) at the beginning of the summer season.
The AOI of direct solar radiation, defined with respect to the zenith line of the module surface, was conventionally calculated using the principles of solar geometry [47], based on geographical coordinates mentioned above. As illustrated in Figure 7, the AOI (represented by the orange line) is considered positive from sunrise to solar noon and again from solar noon to sunset. This angle decreases from a maximum value at sunrise (which varies depending on the measurement day) to a minimum at solar noon, when the sun is nearly overhead and almost perpendicular to the module surface due to the site’s geographic location. After solar noon, the AOI increases again, reaching another maximum at sunset, which also depends on the specific day of measurement.
For example, the AOI values vary in relation of MTA, such that for 0°, it gives values for AOI smaller than those for a tilt angle greater than 0° (15° to 90°). It can be seen in Figure 7 that the smallest AOI (zenith angles) corresponds to an M T A = 0° and consequently higher irradiance values.
As a consequence of what was previously observed, it is evident that for those specific measurement days, at the beginning of summer at a latitude of 18.8°, a surface with a horizontal tilt angle 0° will capture greater irradiance than those collectors with MTA greater than 0°. Although there was a cloudy sky during the measurement days, the previous argument is verified by the magnitude of the measured irradiance and the shape of the curves. However, it is well known that for geographical sites with latitudes between 15° N and 30° N, the maximum solar energy capture in summer is obtained for collectors with a tilt angle equal to the latitude minus 15° ( l a t − 15°), which in our particular case is approximately 4° (18.9 − 15°), a value that is consistent with the behaviour of the irradiance for the case at which M T A = 0°, having an A O I = 4° at noon and a highest irradiance capture (see Figure 7).
The Total Solar Energy (TSE) available at the specific site for a bPV module is determined from the area under the irradiance curve versus time of day: G F vs. Time, G R vs. Time and G T vs. Time. In Figure 7, respectively, the solar energy available for the different MTAs is included. For these specific measurement days (beginning summer in the location), the maximum available TSE of 7.46 kWh/m2 (frontal energy of 6.52 kWh/m2 plus rear energy of 0.94 kWh/m2) corresponds to a M T A = 0° due to the position of the Sun in the sky.
From the other MTAs, the available TSE decreases as the MTA increases, the expected behaviour due to the component of direct irradiance that penetrates the collector G B · C o s ( M T A ) , decreases as the MTA increases. The TSE values included in Figure 7 shows this trend, although for 15 ° and 30 ° the values are similar because on the day measured, the behaviour of G vs. t for 30 ° the overall energy was higher than for 15 ° , this tendency is valid.
Concerning the behaviour of G R vs. t for different tilt angles shown in Figure 7, it can be observed that the shapes of the curves are similar and their values for a selected time depend on the global irradiance available for that measurement day. For example, for MTA of 15 ° at solar noon, a frontal irradiance of 939.2 W/m2 was presented with a rear irradiance of 110.9 = W/m2, and for an angle of 75 ° , a frontal irradiance of 226.1 W/m2 was presented with a rear irradiance of 94.8 W/m2. It can be seen that the values of reflected irradiance are very similar.
For the case of modules placed at H = 2 m and using the same reflective material, during the Julian days from 178 to 183, the behaviour of the irradiance and the AOI are very similar, as shown in Figure 7. If the AOI values for each tilt angle are compared for modules at 1.5 m height with those at 2.0 m height, it was found that the variation ranges are very small because, even if the AOI depends on the solar declination, it varies very little during the time interval in which these measurements were made for the red stone Tezontle. In addition, there is a relationship between the irradiance values and the AOI for the different tilt angles of the bPV used. The higher the inclination angle of the module, the lower the energy capture in the bPV.
Due to the area under the graph G vs. t being the energy available on this day, for each graph, the daily available energy was calculated for each case in Figure 7. The variation in the energy captured by the albedometer with respect to the variation of the MTA and the two different heights of the work cells is presented in Figure 8.
The highest energy captured during the six Julian days corresponds to the MTAs between 0° and 30°, with the highest value occurring at 0°. This is clearly explained by the fact that solar rays strike the module surface at low zenith angles, such that, for this location at solar noon, the zenith angle approaches zero. The tilt angles that do not favour energy collection greater than 4.5 kWh/m2 are those corresponding to incidence angles greater than or equal to 30°, which exhibit lower energy capture as shown in Figure 7.
However, when comparing the ratios between the rear energy density and the global horizontal energy density ( E R / E G ) for heights of 1.5 and 2.0 m, the values obtained are similar for the respective MTA in the (0–30°) range, with observed differences of ± 0.01 . The same pattern occurs when considering the ratio of the rear reflected energy to the global horizontal energy. Consequently, the amount of energy captured by the rear side for heights between 1.5 and 2.0 m will have very similar values.
Therefore, for the study of the behaviour of the bPV module, the following geometric conditions have been selected: H = 1.5 m and M T A = 0° for the position of the module.

5.4. Bifacial Power Output for Tezontle in Outdoor Conditions

To use the previous results presented on the behaviour of the data for frontal and reflected irradiance on the same days and tilts, in this work, only the maximum power generated by the bPV and mPV module for Tezontle as reflective surface and H = 1.5 m of height were analysed. Power was calculated using the conventional relationship between Voltage (V) and Current (I), i.e., P = V · I . The measurements of current (I) and voltage (V) for each module under study were obtained by the sensors installed in the MPPT DC input circuit of the inverters; as a consequence, its values correspond to the MPP in the I-V curve of the modules, so their product gives the P s e n s b P V of the bPV module and P s e n s m P V of the mPV module. Furthermore, all of the inverters that were used in this experiment have an electronic device (DTU) that can measure the current and voltage at the output of the MPPT (according to the manufacturer’s datasheet) and also provide the DC input power P i n v before the DC/AC conversion. The inverter is assumed to track the MPPT at all time with an efficiency of 99.8% according to the manufacturer’s specification.
The comparison of power generated at different MTAs for mPV (graph on the right) and bPV (graph on the left) is shown in Figure 9. The maximum power registered by the sensors P s e n s b P V ,   m P V = V · I is shown with a red line, while the DC power input P i n v b P V ,   m P V before the DC/AC conversion is shown with a green line. On the other hand, using the measured values P m a x F ,   R at STC, G F , G R and T m , with the model given by Equation (1), the P c a l c b P V ,   m P V for each MTA was calculated and plotted with blue lines in Figure 9.
The results presented correspond to the dates between 4 July (Julian Day 185) and 11 July (Julian Day 192) in 2023, with one day for each tilt starting from horizontal (MTA = 0°) and ending in vertical (MTA = 9°).
According to Figure 9, it can be seen the following facts:
1.
mPV module: The graphs on the right show the generated and calculated power for the mPV module at different MTAs.
(a).
For each MTA, the daily behaviour of the power calculated by the model P c a l c m P V , the power recorded by the inverter P i n v m P V , and the power measured by the sensors P s e n s m P V exhibit the same behaviour in both shape and magnitude. This confirms the thermal model provided in Equation (1) generates data consistent with those measured at the input of the inverter. Consequently, these results validate Equation (1) where φ = 0 .
(b).
The shape of the three curves, blue, green, and red, is almost the same. The green and red lines, which correspond to the power provided by the inverter P i n v m P V measured in the MPP, and P s e n s m P V provided by the installed sensors, can be considered equivalent; showing consistency in the measurement process.
2.
bPV module: The graph on the left shows the generated and calculated power for the bPV module at different MTAs.
(a).
From sunrise until 10:00 h and from 15:00 h until sunset, the three plotted power curves (red, green, and blue lines) can be considered identical in both shape and magnitude.
(b).
Between 10:00 h and 15:00 h, the blue curve, which represents the bPV power calculated using the thermal model from Equation (1), provides values that, in some cases, exceed those measured at the input of the inverter. The discrepancy between the power values provided by the model and those measured could be attributed to the rear irradiance data, which were measured according to the [34] standard, obtained values probably higher than the bPV module captures throughout its entire rear surface. This hypothesis is further examined later in the study.
3.
Considering that the area under the Power vs. Time curve represents energy, the total energy generated was determined for all graphs shown in Figure 9. Figure 10 displays the energy generation behaviour of the bPV module at different MTAs, ranging from 0 ° to 90 ° . The maximum energy value is found when the bPV module is at M T A = 0 ° . This is not surprising, as the measurement dates correspond to the second week of early summer. Based on established knowledge [47], the optimal tilt angle for a fixed south-facing collector that maximises solar capture in summer is given by (latitude (minus) 15 ° ). In this case study, the location has a latitude of 18 ° 50 23 , which means that the optimal tilt angle for maximum summer capture is 3 ° 50 23 . Consequently, a tilt of 0 ° results in the highest solar energy capture and, therefore, the maximum energy generation.
4.
It was also determined that the bPV module at 15 ° and 30 ° generates more energy than those at MTAs greater than 30 ° ( 45 ° to 90 ° ). This occurs because the total incident energy density available on the front side ( E F ) of the bPV module at 15 ° and 30 ° is greater than for the other tilt angles (see Figure 9). Additionally, the energy generated at M T A = 30 ° is greater than at 15 ° because on this specific day (JD = 188), the total incident energy density was greater than on Julian day 186, when the power measurements were taken for M T A = 15 ° .
Furthermore, it is observed that the energy calculated by the model, after 10 a.m and until 3 p.m. tends to be higher than that during other time intervals, a possible effect associated by the measured rear irradiance. For MTAs greater than 30 ° ( 45 ° to 90 ° ), the calculated energy obtained from Figure 9 (bPV power generated by the three procedures) and shown in Figure 10 presents a decreasing trend for each respective angle. This decrease is due to reduced frontal incident energy density captured on the front side of the bPV module, with only the rear side contributing to energy generation.
As a result of the energy generation behaviour as a function of MTA, it is confirmed that the maximum energy generated by the bPV module during the summer season at the latitude at which this study was conducted is obtained when the MTA corresponds to the angle determined by the difference (latitude (minus) 15 ° ). This angle is recommended as optimal for maximising energy capture in summer for fixed installations of mPV modules.
For all MTA variations, (see Figure 10) the calculated energy ( E c a l c ) is higher than both the energy obtained by the sensors ( E s e n s ) and the energy reported by the inverter ( E i n v ), due to the way that the rear side of the bPV captures the reflected irradiance G R and the measured value for this parameter by the albedometer used in this experiment that was installed on the lower edge of the bPV module as recommended by the standard.
On the other hand, the differences observed between the energy obtained with the installed sensors and that reported by the inverter may be due probably of two issues: one of them, a lack of synchronisation between the time base used by the inverter to capture data, which is every 15 min, and the used by the installed sensors; and with this condition, could be that when the inverter capture current and voltage data, a higher irradiance may have occurred, resulting in values of greater magnitude than those obtained by averaging the measured data over 15 min intervals. Another issue could be the lack of calibration of the internal inverter sensors with respect to the external sensors installed.
Taking into account the above, the comparisons made between the energies obtained by the thermal model and those obtained with the installed sensors remain valid. In contrast, for mPV1, the difference between the calculated energy and sensor measurements is only 9.5%, indicating a much better model agreement.

5.5. Rear Irradiance in the bPV1

Based on IEC-TS [34], the suggested position for measuring the rear irradiance for a bPV is to place the albedometer at the lower edge of the module, which corresponds to the closest point to the ground of the module when it has any tilt angle. At this position, the sensor captures the reflected irradiance with higher values compared to other points on the rear side of the module. To verify this statement, five solar radiation sensors (working cells) were mounted on the rear side of the mPV (see Figure 11a), and irradiance measurements data were taken for an MTA = 0° (horizontal position).
The behaviour of the measured frontal and rear irradiance data for a module at a height of 1.5 m with Tezontle as a reflective material for 22 March 2025, which almost corresponds to the spring equinox, is shown in Figure 11b, and a wide scale of rear irradiance is presented in Figure 11c. For MTA = 0°, the lower albedometer has a full view of the ground, representing the full exposure of the reflective surface seen by the rear side of the bPV module. As shown in Figure 11b, based on the shape of the frontal irradiance curve, the day was mostly clear. The behaviour of the rear irradiance shown in Figure 11c indicates that the highest magnitude corresponds to the sensor #1, located at the edge of the module in the south position, showing a tendency to decrease as the measurement moves toward the north of the module.
As can be seen in Figure 11c, even for a horizontal position, the rear irradiance captured by the module is not uniform. The contribution of the rear irradiance is higher in the cell located below position #1 at the edge of the module facing the south; this position is indicated according to the standard IEC-TS [34]. According to Figure 11a, the cell marked with position #1 receives the highest radiation contribution.
For this horizontal case, cell #1 has an energy density contribution of 2.85 kWh/m2, which is 32% higher than the measurement zone closer to the centre of the module at the position of cell #4, with an energy density of 1.94 kWh/m2. These data confirm the hypothesis that the position of the albedometer to measure rear irradiance, as suggested by IEC-TS [34], does not provide the actual irradiance values observed by the bifacial module from the rear; for this specific case of M T A = 0°.
Since the albedometer is an equipment designed to be mounted on structures to see the sky and the ground coplanar and aligned between them, this geometric configuration is correct for measuring the albedos of reflective surfaces and has been presented in other standards [48] and recommendations [49]. However, this condition cannot be managed to measure the reflected irradiance from any ground surface for bPV modules due to the non-uniformity of rear irradiance, and even more so when the module is rotating on its central axis, changing the reflection height.
Due to the difficulty of measuring rear irradiance at multiple representative points in a bPV array, and given that the tests were carried out under summer conditions with clear skies over an optically stable material such as Tezontle with a horizontal albedo of 0.144, this difference 32% between the rear irradiance measured at the lower edge and the central point of the module could be considered a safety factor as a maximum limit for designers and installers. For practical purposes in dimensioning systems, it is suggested to apply this percentage to measurements taken from ground reflected irradiance ( G R ), especially when measurements were made at the lower edge of the module or array. This could provide a more realistic adjusted value as a practical mitigation strategy to avoid overestimating the power output of bPV.

5.6. Strengths, Weakness and Limitations

This study demonstrates several methodological strengths throughout its approach. Few studies on bifacial modules fully integrate international standards into their analysis, and even fewer explicitly address the critical verification and preconditioning processes required prior to operational testing. In particular, most research lacks adequate documentation of cell stabilisation procedures, which is particularly essential for PERC-type modules, and does not specify calibration protocols for measurement instruments used to assess current, voltage, temperature, and irradiance variables, which could limit the reproducibility of the results.
As with any field-based study, some limitations must be acknowledged. First, outdoor measurements are inherently sensitive to variability in environmental conditions, which can affect rear irradiance on different days. Second, a significant limitation influencing the final results is related to the temporal resolution of the data.
Although sensor data was originally recorded at 5 min intervals to comply with standard IEC 61724-1:2021 [50] Class A requirements for high-accuracy PV monitoring, the inverter DTU captures data every 15 min. This discrepancy required us to average both the sensor and model data to this range to match the same scale and ensure consistency for comparative analysis. In agreement with the standard, this range represents the upper limit allowed for ground-based monitoring systems classified as Class B (medium accuracy) as the minimum resolution required for PV plant performance studies. This resolution smooths out very short transient effects, such as wind gusts and cloud cover, and helped us better represent the clear-sky conditions as possible. These transient effects could be considered in future research given the importance of distinguishing between clear, partially cloudy, and overcast day conditions with higher-precision Class A measurements. It is also recommended to know the uncertainties and precision of the internal current and voltage sensors of the DTU inverter.
Furthermore, many studies assume fixed values for bifaciality coefficients and surface albedo. However, these parameters fluctuate over time and in different environmental contexts. The durability and optical stability of reflective materials over time can have an impact on long-term energy gains. Future research should therefore consider dynamic modelling of these coefficients to capture their temporal variability more accurately.
This work has identified new research opportunities that could improve the information provided by manufacturers regarding the energy gain of bPV modules, as well as the guidance offered by IEC TS 60904-1-2:2024 [51] regarding the electrical performance of bPVs.

6. Conclusions

This study represents an exhaustive technical analysis of the electric performance of a bPV module in terms of certain geometric installation conditions and a fixed albedo. The analysis was performed according to the standards dedicated to this technology. This study has taken into account some necessary steps prior to outdoor performance testing that have been overlooked in some studies. Initially, the modules were preconditioned to stabilise the solar cell, followed by laboratory tests with a solar simulator to obtain bifacial coefficients to be used in the thermal performance model.
The following findings were observed: no visible defects were detected in the modules under study and no microcracks were identified by electroluminescence imaging.
After preconditioning, the indoor test results obtained from the STC I-V curve in front-side illumination show no more than a 5% difference between the measured P p F and those provided by the manufacturer, electrically guaranteeing that bPVs remained unaffected throughout the supply chain and that the test results are highly reliable. The electrical performance of the bPV in STC showed values of 407.64 W for the maximum power of the front, 299.81 W for the maximum power of the rear side and a bifacial coefficient φ = 0.732 , approximately 5.2% higher than the values provided in the manufacturer’s datasheet. In addition, following IEC-TS it was found for rear irradiance lower than 200 W/m2 that the slope of the straight line P vs. G R named the BiFi coefficient for the bPV module under study has a value of 0.285 W/(W/m2), and the equation that could provide the total power generated by the bPV module is P m a x B i F i = 0.285 · G R + 407.64 .
No significant discrepancies were found between the electrical values provided by the manufacturer and those measured indoors. However, the rear power table supplied by the manufacturer lacks clarity on its derivation method, and current estimates can show discrepancies that exceed 5.2%, as illustrated in Table 3. We suggest that instead of providing a table with estimated power percentages based solely on front-side cell characteristics (which lacks actual rear-side experimentation), the manufacturer should provide the module’s characteristic equation Equation (2) that includes the BiFi coefficient.
Ideally, manufacturers should provide more comprehensive technical data to allow the design and calculation of PV plants to better reflect real performance conditions. Given the inherent complexity of manufacturing processes and solar cell variability, and the extensive procedure demonstrated here to obtain the BiFi parameter according to the standard, manufacturers must facilitate a standardised BiFi report, include the BiFi parameter in the datasheet or in the .PAN file, or provide detailed batch-specific performance parameters. This is crucial because, as illustrated in Table 3, current estimates can show discrepancies that exceed 5.2%.
For outdoor tests aimed at studying the electrical performance of the bPV modules, a previously designed structure was used that allows the installation of three PV modules at different tilt angles and heights. Two bPV modules and one mPV module were used for comparison purposes. These were installed on the structure so that the bPV module under study was placed between the other two modules. Following the specifications of the IEC-TS 60904-1-2 standard, an albedometer was installed coplanar to the surface of the modules to measure both the global front-side irradiance and the reflected irradiance from the ground surface, which affects the rear side of the bPV module under study. The measured irradiance behaviour yielded the following results:
(a). For a fixed height of 1.5 m and varying the tilt angle of the modules, it was determined that, for the site’s latitude during the summer season, the total energy captured by the albedometer—given by the sum of front and rear energy—is maximised at a tilt angle of 0°, which is close to the recommended tilt angle for the maximum capture of the front side in summer, ( L 15 ° ) , for locations with latitudes between 15° and 30°. (b). A decreasing trend in total captured energy was also observed as the tilt angle increased from 0° to 90°. (c). No significant change in energy values was found when the height was increased to 2 m.
In turn, to measure the maximum power generated by the bPV module, three different data collection methods were used: the first with independent calibrated sensors, the second with data provided by the inverter, and the third with the use of a thermal performance model. The data collected are on the same daily scale for comparison.
As MTA changes from a horizontal to vertical position, its AOI increases. An ideal condition is to maintain a low AOI during the day, which implies perpendicularity of the sun’s rays. As MTA increases, it is observed that it loses frontal radiation at angles greater than 45°. As can be seen in Figure 7a where there are almost no variations in frontal radiation for a condition between 0° and 30° of inclination, the relationship between G R / G F (albedo) remains within the typical ranges of material ρ 0 = 0.144 and ρ 30 = 0.104 . However, for the high values of 60° and 75° of the MTA, the gain of G R is relatively higher, with albedos of 0.677 for the case of inclination of 75°, but with a loss of frontal radiation that barely reaches 200 W/m2.
The comparison of the three methods analysed reveals that the results obtained from the current and voltage sensors, the inverter, and those calculated through the model that is a function of the rear irradiance show an average energy overestimation of 27.6% for bPV1 and 12.4% for mPV1. The BTPM is a linear and computationally economical approach that stands out for its simplicity for fast and practical applications. The overestimation obtained is influenced by the ( φ · G R ) factor, which expresses the relative gain of a bPV versus a mPV, as seen in the comparison between the two types of modules. The location of the rear radiation sensor on the lower edge of the module—as indicated in the standard—is also a determining factor in the observed increase as evidenced by the non-uniformity of the irradiance. Since it was determined that the rear irradiance captured on the rear side of the bPV module is not uniform, with almost a difference of 32% between the horizontal position of the albedometer and the centre of the module on the rear side, this overestimation of 27.6% remains within this expected margin for a horizontal position. Likewise, the BTPM linearly relates current and irradiance, considering only thermal losses, which partly explain the overestimation, which can be interpreted as a maximum limit. By incorporating additional losses (optical, electrical, or shading), this would tend to decrease.
We found various opportunities to improve the information that the updated IEC-TS 60904-1-2:2024 standard provides, as well as the bifacial module manufacturers. First, the standard shows the location of the albedometer at the lower edge of the bPV through a figure without any geometric specifications, such as height or depth. The findings could prove that the irradiance distribution exhibits significant non-uniformity across the rear surface of the bPV module, so the lack of a geometrically clear specification of the standard for the positioning of the albedometer could provide erroneous readings between researchers that do not accurately represent what the entire back surface of the bPV experiences along its longitudinal extension.
Furthermore, for laboratory conditions, the standard neither specifies nor recommends any type of anti-reflective material for the rear side, despite indicating that the non-reflective surface should not exceed 5 W/m2, leaving two areas for improvement to suggest for a standard that already presents significant technical challenges in itself.
However, manufacturers could provide information about the power gain as a function of the bifacial coefficient φ or the rear bifacial power gain (BiFi) using Equation (2). However, these equations require the value of the irradiance reflected by the surface albedo, a parameter that should be provided by the manufacturer along with a recommended value to optimise the generated power.
The results of the bifacial power output in this study are applicable to a range of latitudes between 15° and 30° that correspond to the geographical region of study (Mexico), where the latitudes of the northern and southern cities of the country are located. Since empirical models of radiation or temperature were not used, but experimental measurements were, the results should not be extrapolated without specific validation in other latitudes or without the verification of radiation models in such contexts. However, the experimental design included the evaluation of different inclinations of the modules in order to cover a representative range that may be of interest at other latitudes, taking into account similar weather conditions.

Author Contributions

Conceptualization, N.L.-R. and A.S.-J.; methodology, N.L.-R., A.S.-J.; software, N.L.-R. and H.L.-R.; validation, A.S.-J.; formal analysis, N.L.-R., C.A.A.B. and J.O.-C.; investigation, N.L.-R. and J.O.-C.; resources, A.S.-J.; data curation, N.L.-R. and J.O.-C.; writing—original draft preparation, N.L.-R. and H.L.-R.; writing—review and editing, N.L.-R., A.S.-J., and H.L.-R.; visualization, N.L.-R.; supervision, J.O.-C. and A.S.-J.; project administration, A.S.-J.; funding acquisition, A.S.-J. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Universidad Nacional Autónoma de México (UNAM), Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica (PAPIIT), grant number IT101722. The APC was funded by the authors (A.S.-J.), (J.O.-C.) and (C.A.A.B.)

Acknowledgments

We would like to thank CONACYT and COLFUTURO for the first author’s scholarship for doctoral studies and the UNAM-PAPIIT initiative with the IT101722 project, which allocated the resources and support for this work. The authors also express their thanks to Manuel Martinez and Karla Cedano for their feedback and the Nueva Granada Military University of Colombia for Leon-Rodriguez sabbatical year. Claude IA and Overleaf’s Writefull were only used to review grammar and improve document readability.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

ABBREVIATIONNAME-MEANINGUNITS
T a m b Ambient Temperature°C
AOIAngle of Incidence °
G B Beam IrradianceW/m2
φ Bifaciality Coefficient%
bPVBifacial Photovoltaic
BGBifacial Gain%
B i F i r e l Bifacial Power Gain Relative%
BIPVBuilding Integrated Photovoltaics
BNPIBifacial Nameplate Irradiance
BTPMBifacial Thermal Performance Model
R 2 Coefficient of Determination
CAGRCompound Annual Growth Rate%
I m p Current at Maximum PowerA
I–V curveCurrent–Voltage characteristics
E c a l c ,   i n v ,   s e n s m P V ,   b P V Electrical Energy Calculated, Inverter, SensorsWh
X ,   Y Experimental and Theoretical values
P p F ,   R Frontal or Rear Peak Power (manufacturer)W
P m a x F ,   R Frontal or Rear Maximum Power (calculated)W
HJTHeterojunction Technology
IECInternational Electrotechnical Commission
DTUInverter Data Transfer Unit
JDJulian Day
P m a x B i F i Maximum Bifacial PowerW
MPPMaximum Power Point
MPPTMaximum Power Point Tracker
HModule Installation Heightm
η m Module Efficiency%
MQTModule Quality Test
T m Module Temperature°C
MTAModule Tilt Angle °
m-SiMonocrystalline Silicon
mPVMonofacial Photovoltaic
V o c Open Circuit VoltageV
PERCPassivated Emitter and Rear Cell
D % Percent Difference%
PVPhotovoltaic
P c a l c ,   i n v ,   s e n s m P V ,   b P V Power Output Calculated, Inverter, SensorsW
BiFiRear Bifacial Power Gain%
RsSeries Resistance
I s c Short Circuit CurrentA
E c a l c ,   i n v ,   s e n s Solar Energy Density Calculated, Inverter, SensorskWh/m2
STCStandard Test Conditions
TSTechnical Specification
α I s c Temperature Coefficient of the Current % / ° C
γ P m p Temperature Coefficient of the Power % / ° C
β V o c Temperature Coefficient of the Voltage % / ° C
R T Thermal Performance%
E T ,   F ,   R ,   G Total, Frontal, Rear or Global Energy DensitykWh/m2
G T ,   F ,   R ,   G ,   E Total, Frontal, Rear, Global or Equivalent IrradianceW/m2
TSETotal Solar Energy
V m p Voltage at Maximum PowerV
X, YExperimental and Theoretical values.

References

  1. Basak, A.; Chakraborty, S.; Behura, A.K. Tilt angle optimization for bifacial PV module: Balancing direct and reflected irradiance on white painted ground surfaces. Appl. Energy 2025, 377, 124525. [Google Scholar] [CrossRef]
  2. Carrera, L.A.I.; Garcia-Barajas, M.G.; Constantino-Robles, C.D.; Álvarez Alvarado, J.M.; Castillo-Alvarez, Y.; Rodríguez-Reséndiz, J. Efficiency and Sustainability in Solar Photovoltaic Systems: A Review of Key Factors and Innovative Technologies. Eng 2025, 6, 50. [Google Scholar] [CrossRef]
  3. Geng, X.; Cai, S.; Gou, Z. Assessing building-integrated photovoltaic potential in dense urban areas using a multi-channel single-dimensional convolutional neural network model. Appl. Energy 2025, 377, 124716. [Google Scholar] [CrossRef]
  4. Chen, L.; Baghoolizadeh, M.; Basem, A.; Ali, S.H.; Ruhani, B.; Sultan, A.J.; Salahshour, S.; Alizadeh, A.A. A comprehensive review of a building-integrated photovoltaic system (BIPV). Int. Commun. Heat Mass Transf. 2024, 159, 108056. [Google Scholar] [CrossRef]
  5. Chalgynbayeva, A.; Mizik, T.; Bai, A. Cost–Benefit Analysis of Kaposvár Solar Photovoltaic Park Considering Agrivoltaic Systems. Clean Technol. 2022, 4, 1054–1070. [Google Scholar] [CrossRef]
  6. Tahir, Z.; Butt, N.Z. Implications of spatial-temporal shading in agrivoltaics under fixed tilt & tracking bifacial photovoltaic panels. Renew. Energy 2022, 190, 167–176. [Google Scholar] [CrossRef]
  7. Zhong, J.; Zhang, W.; Xie, L.; Zhao, O.; Wu, X.; Zeng, X.; Guo, J. Development and challenges of bifacial photovoltaic technology and application in buildings: A review. Renew. Sustain. Energy Rev. 2023, 187, 113706. [Google Scholar] [CrossRef]
  8. Essak, L.; Ghosh, A. Floating Photovoltaics: A Review. Clean Technol. 2022, 4, 752–769. [Google Scholar] [CrossRef]
  9. Fan, S.; Ma, Z.; Liu, T.; Zheng, C.; Wang, H. Innovations and development trends in offshore floating photovoltaic systems: A comprehensive review. Energy Rep. 2025, 13, 1950–1958. [Google Scholar] [CrossRef]
  10. Bruhwyler, R.; Sánchez, H.; Meza, C.; Lebeau, F.; Brunet, P.; Dabadie, G.; Dittmann, S.; Gottschalg, R.; Negroni, J.J. Vertical agrivoltaics and its potential for electricity production and agricultural water demand: A case study in the area of Chanco, Chile. Sustain. Energy Technol. Assessments 2023, 60, 103425. [Google Scholar] [CrossRef]
  11. Badran, G.; Dhimish, M. Comprehensive study on the efficiency of vertical bifacial photovoltaic systems: A UK case study. Sci. Rep. 2024, 14, 18380. [Google Scholar] [CrossRef]
  12. Ma, C.; Deng, Z.; Xu, X.; Pang, X.; Li, X.; Wu, R.; Tian, Z. Space optimization of utility-scale photovoltaic power plants considering the impact of inter-row shading. Appl. Energy 2024, 370, 123591. [Google Scholar] [CrossRef]
  13. Høiaas, I.; Grujic, K.; Imenes, A.G.; Burud, I.; Olsen, E.; Belbachir, N. Inspection and condition monitoring of large-scale photovoltaic power plants: A review of imaging technologies. Renew. Sustain. Energy Rev. 2022, 161, 112353. [Google Scholar] [CrossRef]
  14. Global-Market-Insights. Bifacial Solar Module Market Size. Forecast, 2025–2034; Global-Market-Insights: Pune, India, 2025. [Google Scholar]
  15. VDMA. International Technology Roadmap for Photovoltaics ITRPV-2024 Results; Technical report; Verband Deutscher Maschinen- und Anlagenbau e.V.: Frankfurt am Main, Germany, 2025. [Google Scholar]
  16. Market-Data-Forecast. Bifacial Solar Market Size, Share, Trends & Growth, 2032; Market-Data-Forecast: Hyderabad, India, 2024; Available online: www.marketdataforecast.com/market-reports/bifacial-solar-market (accessed on 25 May 2025).
  17. Taiyang-News. Top Solar Modules Listing–April 2025. 2025. Available online: https://taiyangnews.info/topmodules/top-solar-modules-listing-april-2025 (accessed on 25 April 2025).
  18. Taiyang-News. Solar Module Prices 2024–2025. 2025. Available online: https://taiyangnews.info/topic/solar-module-prices (accessed on 13 July 2025).
  19. Sahu, P.K.; Chakraborty, C.; Roy, J.N. Comparative Economic Analysis of Bifacial Roof-top PV Systems. Energy Sustain. Dev. 2024, 83, 101593. [Google Scholar] [CrossRef]
  20. IEA. Trends in photovoltaics applications 2024. In Technology Collaboration Programme by International Energy Agency Photovoltaic Power Systems Programme PVPS Task 1 Strategic PV Analysis and Outreach; IEA: Singapore, 2024. [Google Scholar]
  21. Gu, W.; Li, S.; Liu, X.; Chen, Z.; Zhang, X.; Ma, T. Experimental investigation of the bifacial photovoltaic module under real conditions. Renew. Energy 2021, 173, 1111–1122. [Google Scholar] [CrossRef]
  22. Durusoy, B.; Ozden, T.; Akinoglu, B.G. Solar irradiation on the rear surface of bifacial solar modules: A modeling approach. Sci. Rep. 2020, 10, 13300. [Google Scholar] [CrossRef]
  23. Cha, H.L.; Bhang, B.G.; Park, S.Y.; Choi, J.H.; Ahn, H.K. Power Prediction of Bifacial Si PV Module with Different Reflection Conditions on Rooftop. Appl. Sci. 2018, 8, 1752. [Google Scholar] [CrossRef]
  24. Ganesan, K.; Winston, D.P.; Sugumar, S.; Jegan, S. Performance analysis of n-type PERT bifacial solar PV module under diverse albedo conditions. Sol. Energy 2023, 252, 81–90. [Google Scholar] [CrossRef]
  25. Abotaleb, A.; Abdallah, A. Performance of bifacial-silicon heterojunction modules under desert environment. Renew. Energy 2018, 127, 94–101. [Google Scholar] [CrossRef]
  26. Abe, C.F.; Dias, J.B.; Notton, G.; Faggianelli, G.A.; Pigelet, G.; Ouvrard, D. Estimation of the Effective Irradiance and Bifacial Gain for PV Arrays Using the Maximum Power Current. IEEE J. Photovoltaics 2023, 13, 432–441. [Google Scholar] [CrossRef]
  27. Berrian, D.; Libal, J.; Klenk, M.; Nussbaumer, H.; Kopecek, R. Performance of Bifacial PV Arrays with Fixed Tilt and Horizontal Single-Axis Tracking: Comparison of Simulated and Measured Data. IEEE J. Photovoltaics 2019, 9, 1583–1589. [Google Scholar] [CrossRef]
  28. Nussbaumer, H.; Janssen, G.; Berrian, D.; Wittmer, B.; Klenk, M.; Baumann, T.; Baumgartner, F.; Morf, M.; Burgers, A.; Libal, J. Accuracy of simulated data for bifacial systems with varying tilt angles and share of di ff use radiation. Sol. Energy 2020, 197, 6–21. [Google Scholar] [CrossRef]
  29. Pelaez, S.A.; Deline, C.; Macalpine, S.M.; Marion, B.; Stein, J.S.; Kostuk, R.K. Comparison of Bifacial Solar Irradiance Model Predictions With Field Validation. IEEE J. Photovoltaics 2019, 9, 82–88. [Google Scholar] [CrossRef]
  30. Sahu, P.K.; Roy, J.N.; Chakraborty, C. Performance assessment of a bifacial PV system using a new energy estimation model. Sol. Energy 2023, 262, 111818. [Google Scholar] [CrossRef]
  31. Deline, C.; Macalpine, S.; Marion, B.; Toor, F.; Asgharzadeh, A.; Stein, J.S. Assessment of Bifacial Photovoltaic Module Power Rating Methodologies-Inside and Out. IEEE J. Photovoltaics 2017, 7, 575–580. [Google Scholar] [CrossRef]
  32. IEC 60891:2009; Photovoltaic Devices: Procedures for Temperature and Irradiance Corrections to Measured I-V Characteristics. IEC: Geneva, Switzerland, 2009.
  33. Lopez-Garcia, J.; Casado, A.; Sample, T. Electrical performance of bifacial silicon PV modules under different indoor mounting configurations affecting the rear reflected irradiance. Sol. Energy 2019, 177, 471–482. [Google Scholar] [CrossRef]
  34. IEC TS 60904-1-2:2022 ED2; Photovoltaic Devices-Part 1–2: Measurement of Current-Voltage Characteristics of Bifacial Photovoltaic (PV) Devices-COMMITTEE DRAFT (CD). IEC: Geneva, Switzerland, 2022.
  35. Gostein, M.; Pelaez, S.A.; Deline, C.; Habte, A.; Hansen, C.W.; Marion, B.; Newmiller, J.; Sengupta, M.; Stein, J.S.; Suez, I. Measuring Irradiance for Bifacial PV Systems. In Proceedings of the 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC), Fort Lauderdale, FL, USA, 20–25 June 2021; pp. 896–903. [Google Scholar] [CrossRef]
  36. Baloch, A.A.; Hammat, S.; Figgis, B.; Alharbi, F.H.; Tabet, N. In-field characterization of key performance parameters for bifacial photovoltaic installation in a desert climate. Renew. Energy 2020, 159, 50–63. [Google Scholar] [CrossRef]
  37. IEC 61683:1999; Photovoltaic Systems—Power Conditioners–Procedure for Measuring Efficiency. IEC: Geneva, Switzerland, 1999.
  38. IEC 60904-9:2020; Photovoltaic Devices—Part 9: Classification of Solar Simulator Characteristics. IEC: Geneva, Switzerland, 2020.
  39. Merodio, P.; Martínez-Moreno, F.; Lorenzo, E. Experimental determination of the structure shading factor and mismatch losses for bifacial photovoltaic modules on variable-geometry, single-axis trackers. Sol. Energy 2025, 291, 113400. [Google Scholar] [CrossRef]
  40. Gul, M.; Kotak, Y.; Muneer, T.; Ivanova, S. Enhancement of Albedo for Solar Energy Gain with Particular Emphasis on Overcast Skies. Energies 2018, 11, 2881. [Google Scholar] [CrossRef]
  41. Hosseini, S.A.; Al-yasin, S.A.M.; Gheibi, M.; Moezzi, R. Evaluation of Solar Energy Performance in Green Buildings Using PVsyst: Focus on Panel Orientation and Efficiency. Eng 2025, 6, 137. [Google Scholar] [CrossRef]
  42. Gueymard, C.A. Direct and indirect uncertainties in the prediction of tilted irradiance for solar engineering applications. Sol. Energy 2009, 83, 432–444. [Google Scholar] [CrossRef]
  43. IEC 61215-1; Terrestrial Photovoltaic (PV) Modules—Design Qualification and Type Approval—Part 1: Test Requirements. IEC: Singapore, 2021.
  44. IEC 60904-13:2018; Photovoltaic Devices—Part 13: Electroluminescence of Photovoltaic Modules. IEC: Geneva, Switzerland, 2018.
  45. Soto, W.D.; Klein, S.A.; Beckman, W.A. Improvement and validation of a model for photovoltaic array performance. Sol. Energy 2006, 80, 78–88. [Google Scholar] [CrossRef]
  46. ISO/IEC 17043:2023; Conformity Assessment-General Requirements for the Competence of Proficiency Testing Providers. Technical Report; International Standard Organisation, International Electrotechnical Commission: Singapore, 2023.
  47. Duffie, J.A.; Beckman, W.A. Solar Engineering of Thermal Processes Solar Engineering, 4th ed.; Wiley: Hoboken, NJ, USA, 2013; p. 928. [Google Scholar]
  48. ASTM E1918-16; Standard Test Method for Measuring Solar Reflectance of Horizontal and Low-Sloped Surfaces in the Field. Technical Report; ASTM: West Conshohocken, PA, USA, 2016.
  49. Sengupta, M.; Habte, A.; Wilbert, S.; Gueymard, C.; Remund, J.; Lorenz, E.; van Sark, W.; Jensen, A. Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications, 4th ed.; Technical Report; National Renewable Energy Laboratory (NREL): Washington, DC, USA, 2024. [Google Scholar] [CrossRef]
  50. IEC 61724-1:2021; Photovoltaic System Performance—Part 1: Monitoring. IEC: Geneva, Switzerland, 2021.
  51. IEC 60904-1-2:2024; Photovoltaic Devices—Part 1-2: Measurement of Current-Voltage Characteristics of Bifacial Photovoltaic (PV) Devices. IEC: Geneva, Switzerland, 2024.
Figure 1. Continuous Solar Simulator. This test equipment produces a consistent light spectrum at 1.5 air mass under different irradiance levels (from 200 to 1000 W/m2) with controlled temperature. It is classified according to IEC 60904-9 [38] as BAA, where A represents the highest category and B represents intermediate performance. The classification corresponds to: B for spectral match, A for spatial non-uniformity, and A for temporal instability.
Figure 1. Continuous Solar Simulator. This test equipment produces a consistent light spectrum at 1.5 air mass under different irradiance levels (from 200 to 1000 W/m2) with controlled temperature. It is classified according to IEC 60904-9 [38] as BAA, where A represents the highest category and B represents intermediate performance. The classification corresponds to: B for spectral match, A for spatial non-uniformity, and A for temporal instability.
Eng 06 00233 g001
Figure 2. PV modules set up for outdoor testing. The system is composed of one mPV and two bPVs standing in a structure capable of being positioned at different heights and tilts.
Figure 2. PV modules set up for outdoor testing. The system is composed of one mPV and two bPVs standing in a structure capable of being positioned at different heights and tilts.
Eng 06 00233 g002
Figure 3. Connection diagram of three data acquisition controllers: The first controller (Advantech) links to six analogue sensors used for current and voltage measurements across three PV modules; the mPV1 and bPV2 modules acts as a reference and bPV1 for test analysis. A data collector (Omega) connects the second controller (Raspberry Pi4) to 8 temperature transducers. Each temperature sensor were placed on the three photovoltaic modules according to IEC recommendations, with an additional sensor measuring ambient temperature.
Figure 3. Connection diagram of three data acquisition controllers: The first controller (Advantech) links to six analogue sensors used for current and voltage measurements across three PV modules; the mPV1 and bPV2 modules acts as a reference and bPV1 for test analysis. A data collector (Omega) connects the second controller (Raspberry Pi4) to 8 temperature transducers. Each temperature sensor were placed on the three photovoltaic modules according to IEC recommendations, with an additional sensor measuring ambient temperature.
Eng 06 00233 g003
Figure 4. Methodology used to evaluate the PV modules based on several IEC standards indicated on each stage.
Figure 4. Methodology used to evaluate the PV modules based on several IEC standards indicated on each stage.
Eng 06 00233 g004
Figure 5. (a). Front side I-V curve of bPV1 module measured at G F = 1089 W/m2, T m = 25.3   25.3   ° C and translated at STC. (b). Front and rear side I-V curves of bPV1 module measured at different normal incidence irradiance. As a reference it was plotted the I-V curve from de Soto model at STC using front side manufacturer specification data, see Table 1.
Figure 5. (a). Front side I-V curve of bPV1 module measured at G F = 1089 W/m2, T m = 25.3   25.3   ° C and translated at STC. (b). Front and rear side I-V curves of bPV1 module measured at different normal incidence irradiance. As a reference it was plotted the I-V curve from de Soto model at STC using front side manufacturer specification data, see Table 1.
Eng 06 00233 g005
Figure 6. Calculation procedure to obtain the Bifacial Maximum Power ( P m a x B i F i ) using the Rear Bifacial Power Gain ( B i F i ) . BNPI corresponds to G R = 135 W/m2 according [34]. The line fit with the 3 points marked in blue must be forced to pass through the point ( P S T C F ) corrected, which corresponds to G R = 0 . From there, it can be indicated that B i F i is the slope of the curve.
Figure 6. Calculation procedure to obtain the Bifacial Maximum Power ( P m a x B i F i ) using the Rear Bifacial Power Gain ( B i F i ) . BNPI corresponds to G R = 135 W/m2 according [34]. The line fit with the 3 points marked in blue must be forced to pass through the point ( P S T C F ) corrected, which corresponds to G R = 0 . From there, it can be indicated that B i F i is the slope of the curve.
Eng 06 00233 g006
Figure 7. Comparison of the behaviour of the frontal irradiance G F (blue line) and reflected irradiance G R (green line) coplanar to the module surface vs time at height of H = 1.5 m on ground floor with Tezontle at different MTAs, across consecutive days. The (red line) indicates the total sum of frontal and reflected irradiance G T , while the (black line) shows the global horizontal irradiance G G from the meteorological station as a reference. Also, the graph shows how the cells perceive the sun’s AOI over time (orange line). The Surface Energy Density available for the specific day is presented in kWh/m2. E T : Total Energy; E F : Frontal Energy; E R : Rear Energy; E G : Global Energy. AOI value is referenced at solar noon. From sub-figures (af), the variation of MTA ranges from 0° to 90° in 15° increments, with a different tilt for each full day, starting on 4 July (0° horizontal) and ending on 11 July 2023 (90° vertical) with respect to the floor.
Figure 7. Comparison of the behaviour of the frontal irradiance G F (blue line) and reflected irradiance G R (green line) coplanar to the module surface vs time at height of H = 1.5 m on ground floor with Tezontle at different MTAs, across consecutive days. The (red line) indicates the total sum of frontal and reflected irradiance G T , while the (black line) shows the global horizontal irradiance G G from the meteorological station as a reference. Also, the graph shows how the cells perceive the sun’s AOI over time (orange line). The Surface Energy Density available for the specific day is presented in kWh/m2. E T : Total Energy; E F : Frontal Energy; E R : Rear Energy; E G : Global Energy. AOI value is referenced at solar noon. From sub-figures (af), the variation of MTA ranges from 0° to 90° in 15° increments, with a different tilt for each full day, starting on 4 July (0° horizontal) and ending on 11 July 2023 (90° vertical) with respect to the floor.
Eng 06 00233 g007
Figure 8. Energy density captured by the albedometer vs. MTA. Also is shown the behaviour of AOI at solar noon vs. MTA.
Figure 8. Energy density captured by the albedometer vs. MTA. Also is shown the behaviour of AOI at solar noon vs. MTA.
Eng 06 00233 g008
Figure 9. Comparison of power (W) for bPV1 and mPV1 modules at selected MTA values in (Tezontle) at 1.5 m height. The red line indicates the power measured with sensors, the green line shows power measured from the inverter, while the blue line represents the power calculated with the model. Electrical energy output (Wh) was calculated and displayed for each day and tilt. Sub-plots (ac) show the results for 0°, 45°, and 90° for the bPV1 module. Sub-plots (df) show the results for 0°, 45°, and 90° for the mPV1 module for the same day at each tilt, both regarding the floor.
Figure 9. Comparison of power (W) for bPV1 and mPV1 modules at selected MTA values in (Tezontle) at 1.5 m height. The red line indicates the power measured with sensors, the green line shows power measured from the inverter, while the blue line represents the power calculated with the model. Electrical energy output (Wh) was calculated and displayed for each day and tilt. Sub-plots (ac) show the results for 0°, 45°, and 90° for the bPV1 module. Sub-plots (df) show the results for 0°, 45°, and 90° for the mPV1 module for the same day at each tilt, both regarding the floor.
Eng 06 00233 g009
Figure 10. Energy Output Comparison in Wh for (Tezontle) at each measured MTA. The graph summarizes the area under the Power vs Time curve (Energy output in DC) for data obtained from independent sensors: external sensors measured-red; inverter sensors-green, and using the model calculated-blue. E T (kWh/m2) is the Total Energy Density available for the specific day. (see Figure 7). JD is the Julian Day. A box plot represents the variability of energy output for each type of data capture mode under the same day and MTA conditions. All data were captured for the bPV1 module over 7 days between 4 and 10 July 2023.
Figure 10. Energy Output Comparison in Wh for (Tezontle) at each measured MTA. The graph summarizes the area under the Power vs Time curve (Energy output in DC) for data obtained from independent sensors: external sensors measured-red; inverter sensors-green, and using the model calculated-blue. E T (kWh/m2) is the Total Energy Density available for the specific day. (see Figure 7). JD is the Julian Day. A box plot represents the variability of energy output for each type of data capture mode under the same day and MTA conditions. All data were captured for the bPV1 module over 7 days between 4 and 10 July 2023.
Eng 06 00233 g010
Figure 11. Behaviour of reflected radiation at a height of 1.5 m with volcanic red stone (Tezontle) on the ground surface at a M T A = 0 ° . (a). The work cells are distributed along the longer side of the module, centred and symmetrically positioned on the rear side to measure reflected radiation. Cell #6 faces the sun to capture global radiation, while Cells #1 to #5 face the ground to measure reflected radiation. (b). Frontal and rear irradiance. (c). A wide scale of Figure 11b with non-uniformity rear irradiance.
Figure 11. Behaviour of reflected radiation at a height of 1.5 m with volcanic red stone (Tezontle) on the ground surface at a M T A = 0 ° . (a). The work cells are distributed along the longer side of the module, centred and symmetrically positioned on the rear side to measure reflected radiation. Cell #6 faces the sun to capture global radiation, while Cells #1 to #5 face the ground to measure reflected radiation. (b). Frontal and rear irradiance. (c). A wide scale of Figure 11b with non-uniformity rear irradiance.
Eng 06 00233 g011
Table 1. Bifacial and monofacial module specifications from manufacturer at STC.
Table 1. Bifacial and monofacial module specifications from manufacturer at STC.
m-Si Monocrystaline Solar CellsbPV1 PERCmPV1 PERC
Electrical Parameters Symbol Unit Front Rear Front
Frontal or Rear Peak Power P p F ,   P p R W400 + 5300 + 5415 + 5
Voltage at Maximum Power V m p V41.741.842.18
Current at Maximum Power I m p A9.67.189.84
Open Circuit Voltage V o c V49.549.150.41
Short Circuit Current I s c A10.1210.51
Module Efficiency η m %19.5820.7
I s c Temperature Coefficient α I s c %/°C0.050.044
V o c Temperature Coefficient β V o c %/°C−0.28−0.272
P m a x Temperature Coefficient γ P m a x %/°C−0.36−0.350
Bifaciality φ %70 ± 3.5-
Table 2. Electrical characteristics of the modules under study obtained for the STC translation of the measured values. F: Front, R: Rear.
Table 2. Electrical characteristics of the modules under study obtained for the STC translation of the measured values. F: Front, R: Rear.
Electrical ParameterSymbolUnitbPV1-F (D%)bPV1-R (D%)mPV1 (D%)
Maximum Power or Peak Power P p W407.64 (+1.9)299.81 (−0.1)410.25 (−1.1)
Voltage at Maximum Power V m p V40.6 (−3.9)40.61 (−2.8)41.08 (−2.6)
Current at Maximum Power I m p A10.18 (+6.0)7.38 (+2.8)9.99 (+1.5)
Open Circuit Voltage V o c V48.22 (−2.6)47.66 (−2.9)49.06 (−2.7)
Short Circuit Current I s c A10.68 (+5.5)7.82 (−22.7)10.51 (0.0)
I s c Temperature Coefficient α I s c %/°C0.076 (+51.2)0.049 (+11.1)
V o c Temperature Coefficient β V o c %/°C−0.309 (+10.2)−0.248 (−8.9)
P m a x Temperature Coefficient γ P m a x %/°C−0.339 (−5.9)−0.289 (−17.5)
Bifaciality φ %0.732 (+4.5)NA
Table 3. Power gain comparison. Power gain and P m a x are provided by manufacturer.
Table 3. Power gain comparison. Power gain and P m a x are provided by manufacturer.
ManufacturerPower Gain (%)01015202530
data P m a x (W)400440460480500520
G F (W/m2)100010001000100010001000
Model data G R (W/m2)0100150200250300
G R / G F (%)01015202530
P m a x B i F i = 407.6 + 0.285 · G R P m a x B i F i (W)407.6436.1450.4464.6478.9493.1
D (%)1.9−0.9 2.1 3.2 4.2 5.2
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Leon-Rodriguez, N.; Sanchez-Juarez, A.; Ortega-Cruz, J.; Arancibia Bulnes, C.A.; Leon-Rodriguez, H. Bifacial Solar Modules Under Real Operating Conditions: Insights into Rear Irradiance, Installation Type and Model Accuracy. Eng 2025, 6, 233. https://doi.org/10.3390/eng6090233

AMA Style

Leon-Rodriguez N, Sanchez-Juarez A, Ortega-Cruz J, Arancibia Bulnes CA, Leon-Rodriguez H. Bifacial Solar Modules Under Real Operating Conditions: Insights into Rear Irradiance, Installation Type and Model Accuracy. Eng. 2025; 6(9):233. https://doi.org/10.3390/eng6090233

Chicago/Turabian Style

Leon-Rodriguez, Nairo, Aaron Sanchez-Juarez, Jose Ortega-Cruz, Camilo A. Arancibia Bulnes, and Hernando Leon-Rodriguez. 2025. "Bifacial Solar Modules Under Real Operating Conditions: Insights into Rear Irradiance, Installation Type and Model Accuracy" Eng 6, no. 9: 233. https://doi.org/10.3390/eng6090233

APA Style

Leon-Rodriguez, N., Sanchez-Juarez, A., Ortega-Cruz, J., Arancibia Bulnes, C. A., & Leon-Rodriguez, H. (2025). Bifacial Solar Modules Under Real Operating Conditions: Insights into Rear Irradiance, Installation Type and Model Accuracy. Eng, 6(9), 233. https://doi.org/10.3390/eng6090233

Article Metrics

Back to TopTop