Design of a Building-Integrated Photovoltaic System with a Novel Bi-Reflector PV System ( BRPVS ) and Optimal Control Mechanism : An Experimental Study

Environment protection and energy saving are the most attractive trends in zero-carbon buildings. The most promising and environmentally friendly technique is building integrated photovoltaics (BIPV), which can also replace conventional buildings based on non-renewable energy. Despite the recent advances in technology, the cost of BIPV systems is still very high. Hence, reducing the cost is a major challenge. This paper examines and validates the effectiveness of low-cost aluminum (Al) foil as a reflector. The design and the performance of planer-reflector for BIPV systems are analyzed in detail. A Bi-reflector solar PV system (BRPVS) with thin film Al-foil reflector and an LLC converter for a BIPV system is proposed and experimented with a 400-W prototype. A cadmium–sulfide (CdS) photo-resistor sensor and an Arduino-based algorithm was developed to control the working of the reflectors. Furthermore, the effect of Al-foil reflectors on the temperature of PV module has been examined. The developed LLC converter confirmed stable output voltage despite large variation in input voltage proving its effectiveness for the proposed BRPVS. The experimental results of the proposed BRPVS with an Al-reflector of the same size as that of the solar PV module offered an enhancement of 28.47% in the output power.


Introduction
Recently, environmental pollution, global warming, and energy shortage have been generally seen as alarming global issues.The building sector consumes a major proportion of energy.For example, in the European Union, 30-40% of energy is consumed by the building sectors, that produce 32% of carbon dioxide emissions [1].Attention has been given to zero energy buildings to develop future energy saving infrastructures.In this scenario, renewable energy is expected to play an important role.Photo-Voltaic (PV) systems are very attractive choices for production of electric power due to their noiseless and nonpolluting nature.Building Integrated Photo-Voltaic (BIPV) is a new version of the PV system, in which the building is used for installation of PV modules to reduce cost and improve the appearance [2].In addition to the environmental influences of BIPV, they also reduce the long-term cost of the building sector.Compared to a standalone PV system, BIPV does not require any extra land for installation and the cost can be balanced by installing this on the rooftop of the building structure [3].However, the lower efficiency and higher initial cost make BIPV less practical and difficult to commercialize.Dye-Sensitized Solar Cells (DSSCs) have attracted considerable attention in recent years because of their simple assembly, lightweight, flexibility, economical price of materials, satisfactory photocurrent transformation efficiency, precise energy return time, and tunable optical properties [4].On the other hand, DSSCs have power conversion efficiency of more than 14% with a limited active area; the output power decreases with increasing cell effective area of the photoanode [5].An alternate solution exists to increase the net output power from the PV module to reduce the cost of the system because the initial cost of the PV system is the main hurdle to the widespread use of this technology.The output power can be increased by increasing the incident light on the PV system [6].The position of the Sun is not fixed to one place because it changes its position from dawn to dusk and also during the entire year, which means that a fixed PV system is inefficient.Therefore, the tracking of single-and dual-axis PV systems are suggested for this purpose [7,8].On the other hand, such a system has two disadvantages, increase in initial cost and decreased lifetime of the mechanical parts of the PV system.Moreover, such a system also requires extra power supply and motors to move the solar system, which makes the system more complex and increases the size of the PV system, making it unrealistic for commercialization [8,9].
Another way is to reflect the light onto the PV module to increase the efficiency of BIPV systems.This system will increase the sunlight flux intensity per unit area on the BIPV, resulting in an amplified output power, which would allow a decrease in the size and cost of the PV module.With the help of the reflector with a planar shape, solar radiation will increase [10].The advances in architecture and the artistic structure of buildings with narrow roof spaces has created a challenging situation for the installation of a BIPV system with reflectors and the crowded city has forced planning management to consider the roof and facade [11].Despite this, installing such a system will make the architecture appear less attractive, which is a notable factor in new solar systems [12].Moreover, the health concerns for BIPV can be a major disadvantage and a real challenge for BIPV systems.The study predicted a gain in annual output from amorphous Silicon (a-Si) PV modules of up to 25%, considering the latitude of 60 • N and a specular reflector with a reflectivity of 0.8 [13].Probst and Roecker reported the advantages of mixing solar collectors for developing a system [14].The advantage of adding booster reflectors by placing the reflector at a 90 • angle with a crystalline Silicon (c-Si) PV module and varying the inclination of the assembly was explored in [15].Karlson and Wilson [16] designed the Maximum Reflector Collector (MaReCo) in 2000, which was then modified by Brogren and Karlson [17] from an edge reflector to a parabolic design, which boost the radiations falling on the PV module.On the other hand, not all the increasing radiation was converted to electrical power; some was reflected and some were converted to heat in BIPV module.From such studies, a small amount of heat was absorbed by the cell, which decreased the efficiency of the cell and module.The increase in temperature resulted in a 0.3-0.5% per K decrease in efficiency [18].The increase in temperature in the BIPV system was overcome using a Building Integrated Photo-Voltaic Thermal system (BIPVT) [19].Using such a system, the efficiency was increased to 30-40% and two separate collector quantities of space and material were minimized due to hybridization [20].This choice was more substantial because of the low price and sufficient availability, and these two factors make it more practical.A Concentrated Photo-Voltaic (CPV) system, which applies an optical element, was used to focus the sunlight on the solar cell.Such type of intensified light increased the energy up to some extent [21,22].Some studies suggested a horizontal arrangement of the reflector with the solar panel [23].A model of ray tracing to calculate the irradiation rise was proposed [24].Some used diffuse reflectors, which are a collective view factor and specular reflectance mode [25], whereas others use a 2-D specular reflectance model and experimental data [26].The non-specular ridged booster reflector increased the output by 8% [27].Although Mirror-Augmented Photo-Voltaic (MAPV) is low cost, it produces non-uniformity in irradiance, which is overcome by optimizing the system properly to maximize the annual power production.The uniformity in a PV system is the primary objective of the system, but the PV module is not ideal for MAPV because of its non-uniformity [28].A different method was suggested by Van Dijk et al. for power conversion improvement.The solar module has a glass layer with a lens array on the top and a reflector on bottom side [29].A reflector perpendicular to the PV panel with a width 2.7 times the panels obtains a result of 1.5 at solar noontime and was used keeping in view weather conditions of Tokyo, Japan [30].Khan et.al. studied three different (i.e., flat mirror, spherical mirror and Al foil) reflector materials for studying high-performance materials and used a variety of cooling techniques to enhance the performance of existing PV systems [31].
Effective power conditioning for BIPV is crucial.In common practice, the boost DC-DC converter is used to increase the PV voltage and track the maximum point of the PV output power in real time.Considering that switching of semiconductor devices occurs at high currents, the efficiency of these converters is low at high frequencies because of the hard switching [32][33][34][35][36]. On the other hand, at low frequencies, the size and cost of the magnetic components and the capacitor would be high.Furthermore, the parasitic capacitance of the PV modules to the ground might cause leakage currents due to the lack of isolation in conventional power conversion topologies [37].To handle these problems, a DC-DC LLC resonant converter was presented [38,39].LLC converters have been utilized broadly in various DC converters as a result of their similar zero voltage Switching (ZVS) for the essential MOSFETs and zero current Switching (ZCS) for optional diodes, which enable them to achieve high proficiency and power thickness [40,41].Typically, pulse width switching frequency modulation techniques is utilized as a part of LLC resonant converters to standardize the output current and voltage, yet the non-direct highlights of the input voltage make it difficult for ordinary linear control systems to accomplish the normal execution and a hybrid control scheme has been introduced for the purpose of switching [42,43].
Based on a literature survey and discrepancy available in existing solutions to enhance the PV module power for a BIPV system, this study evaluated the Al-foil sheet and LLC converter-based Bi-Reflector PV System (BRPVS).A reflector system was designed to enhance the output power, and a hybrid control scheme of a half-bridge LLC resonant converter is proposed for a wide input range application and medium power applications.The objective of this research is to design and briefly discuss a novel reflector system (BRPVS) its operation and possible outcomes.This study conducted real-time experiments to examine the performance of BRPVS and developed an algorithm to control the working of the BRPVS.Its effects on the output power were examined and its optimal control way of operation was defined.Moreover, an optical and thermal model was also evaluated.A detailed description of the system is provided in Section 2. The remainder of the manuscript is arranged as follows.Section 2 presents a detailed overview of the proposed system along with component required to design the BRPVS system.Experimental arrangements of the designed system are discussed in Section 3. Results for experimental study are discussed in Section 4 while Section 5 summarizes the conclusion of this study.

An Overview of Proposed BRPVS
Figure 1 presents an overview of the proposed solution.The overall system was comprised of a Bi-reflector system (BRS), whose output is given to a half-bridge resonant LLC converter.Movement of the BRDF (Bidirectional Reflectance Function) system is achieved using an Arduino based automatic stepper motor and a CdS sensor arrangement, whose working was controlled by an algorithm developed in Section 2.2.2.The output power of the LLC converter was transferred to the energy storage system (ESS) to supply electric power to the building via an inverter and power distribution system.A detail description of the components of the system is provided in this section.

Components of Designed BRPVS System for BIPV
A detailed overview of the components of the proposed system and their corresponding operating mechanisms is described below.

Wide Range Medium Power LLC Converter
Figure 2 shows the proposed topology of a wide range of LLC resonant converters designed for a wide range of input voltage variations.As the BIPV system undergoes voltage fluctuations, the design topology provides a fixed output voltage despite input voltage variations.The main structure of the LLC converter starts with a voltage divider, and in this design the load and resonant tank act as a voltage divider.The half-bridge LLC resonant converter topology is formed with the help of an input bridge.The resonant tank system is connected to the load, rectifier system, and filter network.

Components of Designed BRPVS System for BIPV
A detailed overview of the components of the proposed system and their corresponding operating mechanisms is described below.

Wide Range Medium Power LLC Converter
Figure 2 shows the proposed topology of a wide range of LLC resonant converters designed for a wide range of input voltage variations.As the BIPV system undergoes voltage fluctuations, the design topology provides a fixed output voltage despite input voltage variations.The main structure of the LLC converter starts with a voltage divider, and in this design the load and resonant tank act as a voltage divider.The half-bridge LLC resonant converter topology is formed with the help of an input bridge.The resonant tank system is connected to the load, rectifier system, and filter network.Figure 3 demonstrates that a square wave is produced by the switch network having frequency f = ω /2π.With the resonant L-C network present in the topology of the converters, generates sinusoidal the current and voltage are using each frequency cycle and hence sinusoidal approximation is suitable to examine the characteristics and parameter determination of the converter.The switching network, which produces a fundamental and odd harmonic of square wave voltage.Fundamental component v () can be calculated using Equation (1) [44].
where V shows amplitude of the input square wave.Resonant output current denoted by i is defined by Equation (2) a with peak amplitude (I ) and phase shift ( θ ) The rectifier input voltage (V ()) well be similar to its fundamental component (V ) and is given be below relation (i.e., Equation (3)) As capacitor does not allow DC current to pass through it, steady-state load current i(t) and DC component (I) of rectifier input current are equal expressed by Equation (4). Figure 3 demonstrates that a square wave is produced by the switch network having frequency f s = ω s /2π.With the resonant L-C network present in the topology of the converters, generates sinusoidal the current and voltage are using each frequency cycle and hence sinusoidal approximation is suitable to examine the characteristics and parameter determination of the converter.The switching network, which produces a fundamental and odd harmonic of square wave voltage.Fundamental component v () can be calculated using Equation (1) [44].
where V shows amplitude of the input square wave.Resonant output current denoted by i is defined by Equation (2) a with peak amplitude (I ) and phase shift ( θ ) The rectifier input voltage (V ()) well be similar to its fundamental component (V ) and is given be below relation (i.e., Equation (3)) As capacitor does not allow DC current to pass through it, steady-state load current i(t) and DC component (I) of rectifier input current are equal expressed by Equation (4).The switching network, which produces a fundamental and odd harmonic of square wave voltage.Fundamental component v S1 (t) can be calculated using Equation (1) [44].
where V g shows amplitude of the input square wave.Resonant output current denoted by i R is defined by Equation (2) a with peak amplitude (I R1 ) and phase shift (θ R ) The rectifier input voltage (V R (t)) well be similar to its fundamental component (V R1 ) and is given be below relation (i.e., Equation (3)) As capacitor does not allow DC current to pass through it, steady-state load current i(t) and DC component (I) of rectifier input current are equal expressed by Equation (4).
The effective resistive load (R e ) of the RC-tank can be evaluated as ratio of V R1 (t) and I R1 (t) given by Equation (5).
The transfer function (H(s)) of the designed LLC converter is given utilizing Equation ( 6).
The voltage gain (M) i.e., transfer function magnitude, is given by Equation ( 7). where According to the mode of operation, the DC characteristics of the LLC resonant converter can be divided into three regions, as shown in Figure 4.In region 1, the converter works in a similar manner to SRC.In this region, L m does not resonate with the resonant capacitor, C r ; it acts as a load of the series resonant tank when it is clamped by the output voltage.The LLC resonant converter can operate under the no load condition without the penalty of a very high switching frequency with a passive load.In addition, with a passive load, L m , ZVS could be ensured for any load condition.
Electronics 2018, 7, x FOR PEER REVIEW 6 of 22 The effective resistive load (R ) of the RC-tank can be evaluated as ratio of V () and I () given by Equation (5).
The transfer function (H()) of the designed LLC converter is given utilizing Equation (6).
The voltage gain (M) i.e., transfer function magnitude, is given by Equation ( 7). where According to the mode of operation, the DC characteristics of the LLC resonant converter can be divided into three regions, as shown in Figure 4.In region 1, the converter works in a similar manner to SRC.In this region, L does not resonate with the resonant capacitor, Cr; it acts as a load of the series resonant tank when it is clamped by the output voltage.The LLC resonant converter can operate under the no load condition without the penalty of a very high switching frequency with a passive load.In addition, with a passive load, L , ZVS could be ensured for any load condition.In region 2, the converter operation is more complicated.At the beginning L r is resonant with C r and L m is clamped by the output voltage.As the L r current reaches the same level as the L m current, the L r and C r resonance is stopped, and L m starts participating.As the LLC resonant converter acts as a multi-resonant converter, the resonant frequency is different in different intervals of time because of resonant process between L m + L r with C r .The designed operating region is region 2 and precautionary measure should be made to prevent the converter from entering region 3.For resonant converter output voltage control, controlling of switching frequency is used mostly to change the DC gain of the resonant tank.If the input voltage of the resonant converter changes or the load fluctuates, the resonant change impedance of the tank changes according to the switching frequency change of the control hybrid control system that adjusts the output voltage by changing the switching frequency.The net change in switching frequency is made according to the design of the resonant tank and consequently relates to the load conditions and the input voltage range.

Al-Foil Based Bi Reflector System (Al-BRS)
Aluminum foil, as an inexpensive reflective material, was used for economic and high output power solar PV systems, which is a very thin sheet of aluminum, ranging from approximately 0.006 mm to the upper ISO defined the limit of 0.2 mm (200 µm).For the protection of Al layer from oxidation aluminum oxide layer is placed on the top of it.As per requirement of thickness, aluminum foil is rolled with the help of beta radiation sensor.The common properties of Al foil are shown in Table 1.Foil is defined as measuring less than 0.2mm (<200 µm) Figure 5 shows an overview of a BRS with an Al reflector with attached PV modules with detailed electrical and optical models given below.Aluminum foil, as an inexpensive reflective material, was used for economic and high output power solar PV systems, which is a very thin sheet of aluminum, ranging from approximately 0.006 mm to the upper ISO defined the limit of 0.2 mm (200 µm).For the protection of Al layer from oxidation aluminum oxide layer is placed on the top of it.As per requirement of thickness, aluminum foil is rolled with the help of beta radiation sensor.The common properties of Al foil are shown in Table 1.Foil is defined as measuring less than 0.2mm (<200 µm) Figure 5 shows an overview of a BRS with an Al reflector with attached PV modules with detailed electrical and optical models given below.

Electrical Modeling
For modeling of BRS, an equivalent electric circuit is developed, as depicted in Figure 6.The equivalent model consists of a current source for a solar cell with a photocurrent (I ) with a pn junction diode, a parallel resistor (R ) and a series resistor ( R ).

Electrical Modeling
For modeling of BRS, an equivalent electric circuit is developed, as depicted in Figure 6.The equivalent model consists of a current source for a solar cell with a photocurrent (I L ) with a pn junction diode, a parallel resistor (R sh ) and a series resistor (R s ).Solar irradiance and constant temperature and solar irradiance, the V-I characteristics of the model which has been proposed can be given using the Equation ( 8): Important parameters (I , , I , , R , , R , and a ) for modeling PV module with BRPVS can be estimated by using conditions in Table 2 [46].Applying the condition defined in Table 2 to Equation (8), Equations ( 9)-( 13) are derived [3]: Maximum power output (MPP), current (I ) and voltage (V ) are related using below listed equation: Temperature dependency of maximum power point efficiency is a very important aspect when we are dealing with performance of PV module written in below equation: Solar irradiance and constant temperature and solar irradiance, the V-I characteristics of the model which has been proposed can be given using the Equation ( 8):   Applying the condition defined in Table 2 to Equation (8), Equations ( 9)-( 13) are derived [3]: Maximum power output (MPP), current (I mp ) and voltage (V mp ) are related using below listed equation: P mp = I mp V mp (14) Temperature dependency of maximum power point efficiency is a very important aspect when we are dealing with performance of PV module written in below equation: Optical Modeling Using the traditional approach of optical geometry, the total irradiance (S tot ) absorbed into the BRPVS system can be easily predicted.Total solar radiation (S tot ) is the sum of the direct solar radiation (S d ) on the solar panel, the ground reflected radiations (S g ), the sky diffusion radiations (S SK ), the right reflector radiation (S reflR ) to the surface of the PV panel with a tilted plane angle, α1, and radiation reflected from the left reflector (S reflL ) to the PV panel with a tilted plane angle α2 [47]: We used a reflector for PV system to model the solar system for BRDF [29].The analysis method of integrative in which irradiation to point differential for PV module represented by (dx) from each differential scattering element on the reflector in (dy) to direction of dx has been presented [30].So, in two dimension that is x and y-axis, integration is performed to show the solar irradiation on module surface.The module in which energy incident (E i r ) is impacting plane reflector at point dx as shown in Equation (17).
Through the differential angle (E ref ), reflected radiant intensity per unit depth and radiant intensity per unit depth that strikes the surface of the module (E m ) as shown in Equations ( 18) and ( 19) respectively [48].
Equation (20) shows the angle of incidence (θ) of the differential ray onto the surface of the module and the distance that the ray has travelled.
Equation ( 22) can be obtained from Equations ( 17)-( 21) and integrated with characteristic dimensions, and multiplied by the depth of the module (A module ) and the irradiance (W/m 2 ) that is on the surface of the module due to reflection (G i m ) can be calculated using Equation (22): where ρ is surface reflectivity, A m module area, and θ is the angle between the incoming ray and reflector surface Control Mechanism A motorized BRPVS system can be designed by studies done on the bases of the experiment in Section 4. This is an optional control mechanism to obtain greater efficiency.The system was designed with Arduino, Stepper motor, Stepper motor driver, reflectors, Cds/sensors, and power supply.Connecting the Stepper motor with Arduino requires a proper connection and wiring pattern using the driver circuits.Figure 7 gives an overview of a motorized BRPVS.Figure 8. shows a controlled algorithm for movement of BRPVS.The movement of the reflector is controlled by the CdS sensors placed on the reflectors and solar panel using the controlled algorithm shown in Figure 8.This system is designed with four light-dependent resistors.The resistance of the LDR /CDS sensor varies with light.In the morning, when the amount of light on the right reflector is greater than the left reflector resistance, and the resistance LDR/CDS of the right reflector (R ( ) ) is less than the left (R ( ) ), the Arduino program compares these values and moves the stepper motor of the right reflector at the given optimal angle or tilt (θ ) when there is shade on the solar panel, i.e., the LDR placed on the right side of the panel resistance (R ( ) ) is no more than the normal bright light operating range (R ).In the afternoon, the resistances of the LDR/CDS right and left sensor are equal and the stepper motor of both reflectors moves focusing light on the solar panel.In the evening, when the amount of light on the left reflector is more than that on the right reflector resistance of the LDR/CDS of the right reflector, the again Arduino program compares these values and moves the stepper motor of the left reflector at the given optimal angle or tilt when there is shade on the solar panel, i.e., the LDR placed on the left side of the panel (R ( ) ) is no greater than the normal bright light operating range.Compared to conventional tracing, which requires continuous tracking and movement of the entire Solar PV solar series and parallel array structure, the proposed BRPVS needs to adjust the movement of the reflector only three times per day, i.e., morning, afternoon, and evening.Moreover, this movement of reflectors is an optional feature to enhance the efficiency to a large extent.Figure 8. shows a controlled algorithm for movement of BRPVS.The movement of the reflector is controlled by the CdS sensors placed on the reflectors and solar panel using the controlled algorithm shown in Figure 8.This system is designed with four light-dependent resistors.The resistance of the LDR /CDS sensor varies with light.In the morning, when the amount of light on the right reflector is greater than the left reflector resistance, and the resistance LDR/CDS of the right reflector (R CdS(R) ) is less than the left (R CdS(L) ), the Arduino program compares these values and moves the stepper motor of the right reflector at the given optimal angle or tilt (θ TL ) when there is shade on the solar panel, i.e., the LDR placed on the right side of the panel resistance (R CdS(PVR) ) is no more than the normal bright light operating range (R th ).In the afternoon, the resistances of the LDR/CDS right and left sensor are equal and the stepper motor of both reflectors moves focusing light on the solar panel.In the evening, when the amount of light on the left reflector is more than that on the right reflector resistance of the LDR/CDS of the right reflector, the again Arduino program compares these values and moves the stepper motor of the left reflector at the given optimal angle or tilt when there is shade on the solar panel, i.e., the LDR placed on the left side of the panel (R CdS(PVL) ) is no greater than the normal bright light operating range.Compared to conventional tracing, which requires continuous tracking and movement of the entire Solar PV solar series and parallel array structure, the proposed BRPVS needs to adjust the movement of the reflector only three times per day, i.e., morning, afternoon, and evening.Moreover, this movement of reflectors is an optional feature to enhance the efficiency to a large extent.

Inverter (Full-Bridge)
Half and full bridge are common inverter topologies.The full-bridge (FB) of the inverter is comprised of two legs; switching of the switches makes it possible to prevent a short circuit at the DC input.Switching is carried out in such a way that the upper leg is complementary to the lower leg of the same bridge.In addition, a dead time is introduced between switching to ensure the protection of switches from a short circuit.
Unlike the half-bridge (HB), the output voltage is double that of FB having the same input voltage.Therefore, the current will be half in the FB inverter compared to that of HB inverter having the same power rating.Figure 9 shows the FB inverter of single-phase switching states.
The carrier-based modulation technique of the PWM controller is the most widely used and effective method.In this type of method, the carrier signal is modulated with the reference signal, and a mostly triangular shape wave is used as the carrier and sinusoidal signal for the reference signal.This technique is quite simple and provides an effective response for inverters.
Figure 9 presents a circuit with an inductor and capacitor along with parameters as a LC lowpass filter.

Inverter (Full-Bridge)
Half and full bridge are common inverter topologies.The full-bridge (FB) of the inverter is comprised of two legs; switching of the switches makes it possible to prevent a short circuit at the DC input.Switching is carried out in such a way that the upper leg is complementary to the lower leg of the same bridge.In addition, a dead time is introduced between switching to ensure the protection of switches from a short circuit.
Unlike the half-bridge (HB), the output voltage is double that of FB having the same input voltage.Therefore, the current will be half in the FB inverter compared to that of HB inverter having the same power rating.Figure 9 shows the FB inverter of single-phase switching states.
The carrier-based modulation technique of the PWM controller is the most widely used and effective method.In this type of method, the carrier signal is modulated with the reference signal, and a mostly triangular shape wave is used as the carrier and sinusoidal signal for the reference signal.This technique is quite simple and provides an effective response for inverters.
Figure 9 presents a circuit with an inductor and capacitor along with parameters as a LC lowpass filter.The current swell is cut off to utilize the inductor.The value of the inductor is given by the following equations: where  is the input DC voltage; fs is the switching frequency; L is the output filter inductor; ∆Imax is the permissible ripple current and Dmax is the duty cycle maximum.The capacitor depends on the inverter peak value and ripple voltage measurements of the output.Inductor current ripple is retained in the capacitor output.This can be shown in the following equation: where ∆Vout is the output voltage ripple; ∆I is the ripple current of the inductor and  is the capacitor equivalent series resistance.

Energy Storage System (ESS)
The variability and intermittency of the renewable energy sources within the renewable energy harnessing system can be mitigated to some extent while being integrated with the power grid.Residential dwellings and commercial buildings have a significant impact on the small-scale integration of renewable energy because of ESS.The storage technologies are not only for improving the levels of consumption from renewable energy sources, but also providing The current swell is cut off to utilize the inductor.The value of the inductor is given by the following equations: where Vdc is the input DC voltage; fs is the switching frequency; L is the output filter inductor; ∆Imax is the permissible ripple current and Dmax is the duty cycle maximum.The capacitor depends on the inverter peak value and ripple voltage measurements of the output.Inductor current ripple is retained in the capacitor output.This can be shown in the following equation: where ∆Vout is the output voltage ripple; ∆I Lc is the ripple current of the inductor and rESR is the capacitor equivalent series resistance.

Energy Storage System (ESS)
The variability and intermittency of the renewable energy sources within the renewable energy harnessing system can be mitigated to some extent while being integrated with the power grid.Residential dwellings and commercial buildings have a significant impact on the small-scale integration of renewable energy because of ESS.The storage technologies are not only for improving the levels of consumption from renewable energy sources, but also providing momentary benefit.
The implementation of future intelligent grid technology, smart pricing, demand-side management, peak load, smart grid, demand-side management, smart metering, peak load curtailment, might deliver the goals of the regulator and policymakers but may also create uncertainty for consumers regarding the price of power.Power consumption control will be experienced by consumers when they purchase power and assess how much they consume during power shortages [7].Therefore, a storage system is needed to save some energy when there is insufficient solar power available to run a specific load.During the charging process, the ESS available capacity at time, "t" can be described as: The available ESS capacity during the discharging time can be given by Equation ( 28) [49].
The depth of discharge (DoD) is a measure of how much energy has been withdrawn from a storage device, and is expressed as a percentage of the full capacity according to Equation (29).
The effective method of an energy management system that comprises storage elements allows consumers to shift their electricity purchases during peak hours to decrease the electricity demand

Experimental Setup
Figure 10 presents the experimental setup for a BRPVS system.To determine the effects of Al-BRS on temperature and power output, an experimental setup was developed, as shown in Figure 10a.The experiment was carried out near the Mechatronic Engineering Building 107 and the Laser and Sensor Laboratory, Pusan National University, having latitude 31.4861303• E. The optimal tilt angle of 30 • was selected.A 20 watt PV module was used to determine the effects of reflector on the performance with the given latitude.A MASTECH MS827 millimeter for measuring current and voltage with different irradiance and reflector conditions.A FLUKE VT04A visual IR thermometer was utilized for thermal images at a specific time.An EL-USB-3 voltage and temperature data logger were used to measure the voltage and temperature of the PV module to recode the data.
Electronics 2018, 7, x FOR PEER REVIEW 13 of 22 momentary benefit.The implementation of future intelligent grid technology, smart pricing, demand-side management, peak load, smart grid, demand-side management, smart metering, peak load curtailment, might deliver the goals of the regulator and policymakers but may also create uncertainty for consumers regarding the price of power.Power consumption control will be experienced by consumers when they purchase power and assess how much they consume during power shortages [7].Therefore, a storage system is needed to save some energy when there is insufficient solar power available to run a specific load.During the charging process, the ESS available capacity at time, "" can be described as: The available ESS capacity during the discharging time can be given by Equation ( 28) [49].
The depth of discharge (DoD) is a measure of how much energy has been withdrawn from a storage device, and is expressed as a percentage of the full capacity according to Equation (29).
The effective method of an energy management system that comprises storage elements allows consumers to shift their electricity purchases during peak hours to decrease the electricity demand

Experimental Setup
Figure 10 presents the experimental setup for a BRPVS system.To determine the effects of Al-BRS on temperature and power output, an experimental setup was developed, as shown in Figure 10a.The experiment was carried out near the Mechatronic Engineering Building 107 and the Laser and Sensor Laboratory, Pusan National University, having latitude 31.4861303°E. The optimal tilt angle of 30° was selected.A 20 watt PV module was used to determine the effects of reflector on the performance with the given latitude.A MASTECH MS827 millimeter for measuring current and voltage with different irradiance and reflector conditions.A FLUKE VT04A visual IR thermometer was utilized for thermal images at a specific time.An EL-USB-3 voltage and temperature data logger were used to measure the voltage and temperature of the PV module to recode the data.A 0.5-mm of thick aluminum foil sheet was wrapped on a paperboard of rectangular shape to make the structure firm.In the first experiment, aluminum foil was used as the equaling size as that of the solar cell.In the installation of the real-time BIPV system, the exact south (180 N) is not always available present so two different positions, south-east 150 N (diverted toward the east from south of 30 • ) and south-west 210 N (toward west diverted 30 • ), were used.
A 400-W prototype LLC converter was developed as shown in Figure 10b having an input voltage ranging 200-400 V and a fixed output voltage of 48 V.A MASTECH MS8217 millimeter to get voltage and current value under various point.The LLC resonant converter control scheme has two different input voltage ranges according to the control scheme that depends upon PFM control scheme having input voltage from 200 to 300 V and by the asymmetric PWM at the input voltage range from 300 to 400 V.The LLC resonant tank has 1.68 voltage gain with an input voltage 200 V and 1.12 voltage gain at input voltage 300 V, where switching frequency varied from 50 kHz to 112 kHz.Table 3 shows the LLC resonant converter design parameters.For the desired switching, the proposed hybrid switching scheme was used on a Microchip dsPIC33F16GS502.

Results and Discussion
Outdoor testing of the BRPVS was performed at Busan (35 • 10 0" N, 129 • 4 0" E), South Korea.The Korean Metrological Agency (KMA) was used as a source of authentic data for expected Busan weather conditions, to investigate the effect of BRPVS on the efficiency of PV system of solar PV module.The data of the solar insolation were provided in MJ/m 2 , which was then converted for compatibility and simplicity to kW/m 2 .Solar insolation for twelve days randomly selected days was considered, exactly one day for each month having sunny weather from morning to evening, as shown in Figure 11.The data showed that the solar irradiance was very low in cold weather: smaller than 1 kW/m 2 from morning 7:00 to 1:00 (Figure 11a) and evening from 3:00 pm to 6:00 pm (Figure 11c).During December, January, and February, and maximum solar insulation was 0.63 kW/m 2 at the afternoon from 11:00 to 2:00 pm (Figure 11b).The maximum solar irradiance from March to May was 0.70 kWh/m 2 .Compared to the STC (1 kW/m 2 ) for the solar panel, this is still very low.Value incremented to 0.95 kWh/m 2 in summer but it could not generate electricity at full capacity because of the increase in temperature of the solar panels.The variation of irradiance throughout the year from morning and evening shown in Figure 11 was much lower than the STC.The data in Figure 11 supports the importance of the reflector system because output power will increase as the amount of incident light increases in the solar panel.

Investigating Effectiveness of BRPVS
Effect of BRPVS with an Al-foil sheet on the output power of the solar PV module having a 20-W capacity, placed at 0° south was noticed.The data was examined for a time period from 8:30 to 16:30.Figure 12 show voltage of the open circuit (V ), short circuit current (I ) and output power.Figure 12a indicates that from 8:30 am to 4:00 pm, the V was maintained on specific value but when the intensity of sunlight decreased, there was a sudden dip in voltage of the open circuit.On the other hand, the current varies with time, i.e., it increases, specifically from 0.67 A to 1.2 A for some time from 8:30 to 16:30 and decreases slowly from 12:00 to 16:30.
The performance comparison was made by comparing the output power of the Al-foil sheet reflector with a panel without a reflector.Significant improvement in the result was obtained while using the reflector.Using Al-Foil BRS produces an output of 20.31 W, while without a reflector, it is only 16.84 W.

Investigating Effectiveness of BRPVS
Effect of BRPVS with an Al-foil sheet on the output power of the solar PV module having a 20-W capacity, placed at 0 • south was noticed.The data was examined for a time period from 8:30 to 16:30.Figure 12 show voltage of the open circuit (V oc ), short circuit current (I sh ) and output power.Figure 12a indicates that from 8:30 am to 4:00 pm, the V oc was maintained on specific value but when the intensity of sunlight decreased, there was a sudden dip in voltage of the open circuit.On the other hand, the current varies with time, i.e., it increases, specifically from 0.67 A to 1.2 A for some time from 8:30 to 16:30 and decreases slowly from 12:00 to 16:30.
The performance comparison was made by comparing the output power of the Al-foil sheet reflector with a panel without a reflector.Significant improvement in the result was obtained while using the reflector.Using Al-Foil BRS produces an output of 20.31 W, while without a reflector, it is only 16.84 W. The use of Al-foil reflector does not too much increase the cost of the PV system but improves its effectiveness.The temperature effect on Al-BRS was then monitored.During the experiment, the thermal images were photographed for the PV module with the BRPVS system.
In Figure 13, the thermal image showed a temperature hotspot at 11:30, 12:30, and 13:30 with no reflectors 42.1 °C, 42.3 °C, and 43 °C, respectively.Conversely, at 11:30, 12:30, and 13:30 using the Al-Foil reflector, the hotspot temperatures for the solar power system were 38.9 °C, 39.4 °C and 40.5 °C, respectively.The above statistics show that using a reflector ensures that the PV system is safe and does not significantly increase the temperature of the BIPV system.(a) The use of Al-foil reflector does not too much increase the cost of the PV system but improves its effectiveness.The temperature effect on Al-BRS was then monitored.During the experiment, the thermal images were photographed for the PV module with the BRPVS system.
In Figure 13, the thermal image showed a temperature hotspot at 11:30, 12:30, and 13:30 with no reflectors at 42.1 • C, 42.3 • C, and 43 • C, respectively.Conversely, at 11:30, 12:30, and 13:30 using the Al-Foil reflector, the hotspot temperatures for the solar power system were 38.9 • C, 39.4 • C and 40.5 • C, respectively.The above statistics show that using a reflector ensures that the PV system is safe and does not significantly increase the temperature of the BIPV system.The use of Al-foil reflector does not too much increase the cost of the PV system but improves its effectiveness.The temperature effect on Al-BRS was then monitored.During the experiment, the thermal images were photographed for the PV module with the BRPVS system.
In Figure 13, the thermal image showed a temperature hotspot at 11:30, 12:30, and 13:30 with no reflectors at 42.1 °C, 42.3 °C, and 43 °C, respectively.Conversely, at 11:30, 12:30, and 13:30 using the Al-Foil reflector, the hotspot temperatures for the solar power system were 38.9 °C, 39.4 °C and 40.5 °C, respectively.The above statistics show that using a reflector ensures that the PV system is safe and does not significantly increase the temperature of the BIPV system.(a)

Al-Foil Reflector Optimal Size and Position for BRPVS
Al-foil has significant effects on the PV system output power.Moreover, it is quite inexpensive.The efficiency depends mostly on the size of the aluminum foil reflector.Different experiments were conducted with different sizes of Al foil as a reflector to determine the optimal size of the Al foil (Figure 14).The positions of the PV system in the solar panel were placed at South 0° (North 180°) with a tilt angle of 30°.Three different sizes of Al foil were selected: 1/3 (length = 54 cm width = 12 cm), 2/3 (54 cm width = 24 cm), and equal to the size of the solar panel.The output power of the solar PV module increased from 7.62% to 9.11% when the Al foil size was one-third of the solar panel (Figure 14a,b).The output power improved 16.05-17.57%when Al foil 2/3 of the solar panel size was used.The output power was increased 25.92-28.47%when the size of reflector was equal to the size of the panel.This shows that the output power increases with increasing size of the reflector.The next task was to find the optimal angle for BRPVS that gives the highest output power.Perfect south is difficult to achieve for every BIPV system.Hence, three different positions were selected: south 0°, south-east (30° from south towards east), and south west (30° from south towards west).
Figure 15 shows the output power of the solar module while using the Al-Foil BRS with the above-mentioned angles.The optical angle of BRS differs depending on position and time.The optimal BRS angles for the south, south-east, and south-west locations from 9:00 am to 11:00 am were 80°, 75° and 90°, respectively (Figure 15a-c).During the afternoon time i.e., 11:00 am to 2:00

Al-Foil Reflector Optimal Size and Position for BRPVS
Al-foil has significant effects on the PV system output power.Moreover, it is quite inexpensive.The efficiency depends mostly on the size of the aluminum foil reflector.Different experiments were conducted with different sizes of Al foil as a reflector to determine the optimal size of the Al foil (Figure 14).The positions of the PV system in the solar panel were placed at South 0 • (North 180 • ) with a tilt angle of 30 • .Three different sizes of Al foil were selected: 1/3 (length = 54 cm width = 12 cm), 2/3 (54 cm width = 24 cm), and equal to the size of the solar panel.The output power of the solar PV module increased from 7.62% to 9.11% when the Al foil size was one-third of the solar panel (Figure 14a,b).The output power improved 16.05-17.57%when Al foil 2/3 of the solar panel size was used.The output power was increased 25.92-28.47%when the size of reflector was equal to the size of the panel.This shows that the output power increases with increasing size of the reflector.

Al-Foil Reflector Optimal Size and Position for BRPVS
Al-foil has significant effects on the PV system output power.Moreover, it is quite inexpensive.The efficiency depends mostly on the size of the aluminum foil reflector.Different experiments were conducted with different sizes of Al foil as a reflector to determine the optimal size of the Al foil (Figure 14).The positions of the PV system in the solar panel were placed at South 0° (North 180°) with a tilt angle of 30°.Three different sizes of Al foil were selected: 1/3 (length = 54 cm width = 12 cm), 2/3 (54 cm width = 24 cm), and equal to the size of the solar panel.The output power of the solar PV module increased from 7.62% to 9.11% when the Al foil size was one-third of the solar panel (Figure 14a,b).The output power improved 16.05-17.57%when Al foil 2/3 of the solar panel size was used.The output power was increased 25.92-28.47%when the size of reflector was equal to the size of the panel.This shows that the output power increases with increasing size of the reflector.The next task was to find the optimal angle for BRPVS that gives the highest output power.Perfect south is difficult to achieve for every BIPV system.Hence, three different positions were selected: south 0°, south-east (30° from south towards east), and south west (30° from south towards west).
Figure 15 shows the output power of the solar module while using the Al-Foil BRS with the above-mentioned angles.The optical angle of BRS differs depending on position and time.The optimal BRS angles for the south, south-east, and south-west locations from 9:00 am to 11:00 am were 80°, 75° and 90°, respectively (Figure 15a-c).During the afternoon time i.e., 11:00 am to 2:00 The next task was to find the optimal angle for BRPVS that gives the highest output power.Perfect south is difficult to achieve for every BIPV system.Hence, three different positions were selected: south 0 • , south-east (30 • from south towards east), and south west (30 • from south towards west).
Figure 15 shows the output power of the solar module while using the Al-Foil BRS with the above-mentioned angles.The optical angle of BRS differs depending on position and time.The optimal BRS angles for the south, south-east, and south-west locations from 9:00 am to 11:00 am were 80 • , 75 • and 90 • , respectively (Figure 15a-c).During the afternoon time i.e., 11:00 am to 2:00 pm keeping both reflectors at 90 • delivers maximum output power.In the evening from 3:00 pm to 5:00 pm, the best angle for the south, south-east, and south-west position was 80 • , 90 • , and 75 • , respectively.These results show as panel move for south the optimal angle for BRS changes however with little adjustment in the reflector angle can help to yield more power from the same module without reflector pm keeping both reflectors at 90° delivers maximum output power.In the evening from 3:00 pm to 5:00 pm, the best angle for the south, south-east, and south-west position was 80°, 90°, and 75°, respectively.These results show as panel move for south the optimal angle for BRS changes however with little adjustment in the reflector angle can help to yield more power from the same module without reflector

Performance Evaluation of Designed Half Bridge LLC Converter
The 400-W LLC converter for wide range voltage variations was designed as discussed in Section 2.2.1, and the experimental setup was developed based on the parameters discussed in Section 3. Figure 16 shows the waveform of a half-bridge LLC resonant converter for the desired experimental study.Variable input voltages of 200-400 V with variable switching frequencies were considered for the analysis.The switching was performed at high frequencies ranging from 90.23 kHz to 110 kHz to the size of the transformer.Figure 16 shows waveform for 200 V input with switching frequency 74.67 kHz. Figure 13a

Performance Evaluation of Designed Half Bridge LLC Converter
The 400-W LLC converter for wide range voltage variations was designed as discussed in Section 2.2.1, and the experimental setup was developed based on the parameters discussed in Section 3. Figure 16 shows the waveform of a half-bridge LLC resonant converter for the desired experimental study.Variable input voltages of 200-400 V with variable switching frequencies were considered for the analysis.The switching was performed at high frequencies ranging from 90.23 kHz to 110 kHz to reduce the size of the transformer.Figure 16 shows waveform for 200 V input with switching frequency 74.67 kHz. Figure 13a,b shows the waveforms for voltage 200 V, 230 V while Figure 13c,d represents 300 V and 400 V, respectively.Figure 16a shows the current of the resonant inductor (I ), resonant voltage (V ), and input voltage (V ) of the LLC resonant tank and switching signal of Q2 at an input voltage of 200 V.The red line in the graph presents the output voltage while the blue line shows the input voltage.Similarly, the yellow and green input voltage (Vin) and switching signal of Q2 are shown.The output voltage was controlled and kept constant at 48 V.The results clearly show that the switching frequency increased with increasing input voltage in order to regulate the output voltage in the PFM operation region.In addition, resonance current peak value enlarged due to the increase in amount of current circulating in the resonant tank.

Conclusions
The power generation performance of the BIPV is influenced by the amount the of available solar radiation.The output power given by photovoltaic systems increases in proportion to the solar radiation.This study confirmed the effect of BRPVS on the performance of BIPV module through real-time outdoor experiments.Half-bridge LLC resonant converters for wide input range voltage fluctuations (200-400 V) and medium power applications have been proposed and tested by experiments using a 400-W prototype.Experimental results show that using a low-cost Al foil reflector in a BRPVS system can improve the output power by more than 28.47% depending on the time, size of the reflector, and location of the solar panel.Movement of BRPVS was controlled by the algorithm developed and discussed in this paper.A hardware implementation of the algorithm was performed using an Arduino-controlled CdS sensor and a stepper motor array.A BRPVS solar system was found to be a cost-effective solution for BIPV with conventional amorphous and crystalline solar panels and can be applied easily for future zero carbon green energy buildings, particularly in countries with lower annual solar radiation than the standard test condition defined for a solar PV system or building where it is difficult to face the PV panels completely towards south or the Sun.Future research should evaluate efficient reflector materials and effective control system operating mechanisms.Figure 16a shows the current of the resonant inductor (I r ), resonant voltage (V r ), and input voltage (V in ) of the LLC resonant tank and switching signal of Q2 at an input voltage of 200 V.The red line in the graph presents the output voltage while the blue line shows the input voltage.Similarly, the yellow and green input voltage (V in ) and switching signal of Q2 are shown.The output voltage was controlled and kept constant at 48 V.The results clearly show that the switching frequency increased with increasing input voltage in order to regulate the output voltage in the PFM operation region.In addition, resonance current peak value enlarged due to the increase in amount of current circulating in the resonant tank.

Conclusions
The power generation performance of the BIPV is influenced by the amount the of available solar radiation.The output power given by photovoltaic systems increases in proportion to the solar radiation.This study confirmed the effect of BRPVS on the performance of BIPV module through real-time outdoor experiments.Half-bridge LLC resonant converters for wide input range voltage fluctuations (200-400 V) and medium power applications have been proposed and tested by experiments using a 400-W prototype.Experimental results show that using a low-cost Al foil reflector in a BRPVS system can improve the output power by more than 28.47% depending on the time, size of the reflector, and location of the solar panel.Movement of BRPVS was controlled by the algorithm developed and discussed in this paper.A hardware implementation of the algorithm was performed using an Arduino-controlled CdS sensor and a stepper motor array.A BRPVS solar system was found to be a cost-effective solution for BIPV with conventional amorphous and crystalline solar panels and can be applied easily for future zero carbon green energy buildings, particularly in countries with lower annual solar radiation than the standard test condition defined for a solar PV system or building where it is difficult to face the PV panels completely towards south or the Sun.Future research should evaluate efficient reflector materials and effective control system operating mechanisms.

Figure 3 .
Figure 3. Output voltage of switch network along with its fundamental component.

Figure 3
Figure 3 demonstrates that a square wave is produced by the switch network having frequency f = ω /2π.With the resonant L-C network present in the topology of the converters, generates sinusoidal the current and voltage are using each frequency cycle and hence sinusoidal approximation is suitable to examine the characteristics and parameter determination of the converter.

Figure 3 .
Figure 3. Output voltage of switch network along with its fundamental component.

Figure 3 .
Figure 3. Output voltage of switch network along with its fundamental component.

Figure 5 .
Figure 5.An overview of Al-foil based Bi reflector system (Al-BRS).

Figure 5 .
Figure 5.An overview of Al-foil based Bi reflector system (Al-BRS).
At short circuit [dI/dV ] = −1/R , At open circuit voltage I = 0, V = Voc,ref At short circuit current I = Isc,ref, V = 0 At the maximum power point I = Imp,ref, V = Vmp,ref At the maximum power point [dI/dV] = 0
At short circuit [dI/dV] sc = −1/R sh,ref At open circuit voltage I = 0, V = V oc,ref At short circuit current I = I sc,ref , V = 0 At the maximum power point I = I mp,ref , V = V mp,ref At the maximum power point [dI/dV] sc = 0

22 Figure 7 .
Figure 7. Scheme for control and hardware implementation of Al-BRS.

Figure 7 .
Figure 7. Scheme for control and hardware implementation of Al-BRS.

Figure 8 .
Figure 8. Flowchart explaining control algorithm for operating BRS.

Figure 8 .
Figure 8. Flowchart explaining control algorithm for operating BRS.

22 `Figure 9 .
Figure 9.A full bridge inverter scheme with low pass filter and DSP controller for BRPVS.

Figure 9 .
Figure 9.A full bridge inverter scheme with low pass filter and DSP controller for BRPVS.

Figure 10 .
Figure 10.Experimental arrangements for (a) Al-foil based BRS; (b) Hardware implementation of 400 W Half bridge LLC converter prototype.

Figure 10 .
Figure 10.Experimental arrangements for (a) Al-foil based BRS; (b) Hardware implementation of 400 W Half bridge LLC converter prototype.

22 Figure 12 .
Figure 12.Comparative analysis of the (a) Short circuit current (Ish); (b) Open circuit voltage (Voc); (c) Output power of BIPV system with and without Al foil based BRPVS.

Figure 12 .
Figure 12.Comparative analysis of the (a) Short circuit current (Ish); (b) Open circuit voltage (V oc ); (c) Output power of BIPV system with and without Al foil based BRPVS.

22 Figure 12 .
Figure 12.Comparative analysis of the (a) Short circuit current (Ish); (b) Open circuit voltage (Voc); (c) Output power of BIPV system with and without Al foil based BRPVS.

Figure 13 .
Figure 13.Studying effect on temperature of PV module (a) Without BRS; (b) Al foil BRS.

Figure 13 .
Figure 13.Studying effect on temperature of PV module (a) Without BRS; (b) Al foil BRS.
,b shows the waveforms for voltage 200 V, 230 V while Figure 13c,d represents 300 V and 400 V, respectively.

Table 2 .
BRS electrical modeling, conditions used to evaluate important parameters.

Table 2 .
BRS electrical modeling, conditions used to evaluate important parameters.

Table 3 .
Specification of designed LCC converter for BRPVS.