Solar Cell Temperature Research Articles

Temperature and illumination dependence of silicon heterojunction solar cells with a wide range of wafer resistivities

AbstractRecently, the significant improvements in the surface and contact passivation of silicon (Si) solar cells as well as their bulk quality have shifted their operating point to higher injections. Hence, they are less dependent on wafer doping. This shift opens an opportunity of using high‐resistivity wafers for practical photovoltaic applications, introducing a promising approach to push the cell efficiency towards the intrinsic limit and to improve the module reliability by increasing the cell breakdown voltage. Therefore, insights into the performance of Si solar cells using high‐resistivity wafers at various operating temperatures are of significant interest. In this study, we investigate the temperature‐ and illumination‐dependent performance of Si heterojunction (SHJ) solar cells using a wide range of wafer resistivities (between 3 and 1000 Ω⋅cm). Although a reduction in the passivation quality of the passivating contacts is observed at elevated temperature, the impact on the temperature coefficient of the open‐circuit voltage (TCVoc)—the dominant contributor to the temperature coefficient (TC) of the cell efficiency—is very limited. Their TCVoc are still dominated by the temperature dependence of the effective intrinsic carrier concentration. Furthermore, we also find that the investigated cells are more sensitive to temperature variation at lower illumination intensities. It is noteworthy that the efficiency of the cells fabricated using high‐resistivity wafers is comparable to that of the reference cells at any given temperature, highlighting the potential of using high‐resistivity wafers for solar cells.

Energy and exergy evaluation of a baffled-nanofluid-based photovoltaic thermal system (PVT)

In this paper, a differently baffled-nanofluid-based photovoltaic thermal module is proposed and numerically evaluated from both an energy and an exergy perspective. To obtain the optimum module, several systems including; the PV module (PVM), the simple channel collector PVT module (SPVTM), and the baffled channel collector PVT module (BPVTM), were investigated using three working fluids, including pure water, CuO/water nanofluid, and CNT/water nanofluid. Following a comparison of these seven various case studies, the overall performance of the suggested system from both energy and exergy in order to choose the ideal system was assessed about several variables, such as flow rate, radiation intensity, volume fraction, and wind speed. The results show that baffle-based PVT systems outperform simple-based modules in terms of efficiency. Also, the performance of the baffled model is well amplified by using nanofluids. When compared to the SPVTM/water, the BPVTM/CuO and BPVTM/CNT increase thermal power by 9.46 and 14.0%, respectively, increase electrical power by 1.41 and 2.12% and also reduce solar cell temperature by 9.22 and 13.82%. Power generation from the BPVTM/CNT is the highest among the other cases investigated. The overall exergy efficiency of the baffled PVT module with CuO/water and CNT/water increases by 0.44% and 2.38%, respectively, in comparison to that with water. The findings suggest that while low flow rates are generally better for the system's exergy performance, high flow rates are more advantageous from an energy perspective. The performance of the PVTM with CuO/water nanofluid is marginally better than the unit with water. However, the CNT/water nanofluid systems significantly outperform the water and CuO/water systems.

Three-phase Inverter with Fuzzy Logic Control (FLC) based Maximum Power Point Tracking (MPPT) technique for Grid Connected Photovoltaic (GCPV) System

The performance of the Photovoltaic (PV) System is dependent upon the environment conditions due to the variation of the solar irradiance and cell temperature. This affects the quality of the output voltage that is generated by the photovoltaic modules. To overcome these challenges, an artificial intelligence approach is implemented into the system. The objective of the proposed work is to develop a boost converter to control the output power generated by the photovoltaic modules by increasing the output power. In order to adjust power factor and power for a three-phase grid inverter system, the boost converter is integrated with a three-phase inverter that uses the Pulse Width Modulation (PWM) control approach. Since it's the most important component of any grid-connected system and enables the source generated to feed into the grid, it evolved to control power to the grid. Therefore, the three-phase inverter with PWM control is proposed to optimize the performance of the PV system. A Fuzzy Logic Control (FLC) is implemented in the system as an artificial intelligence alternative for a PV system that works rapidly, accurately, and efficiently to track the Maximum Power Point (MPP) under varying weather conditions and solar irradiation. By using the FLC, the constraints that come from conventional technologies could be improved and a better grid-connected photovoltaic system be provided. The proposed PV system is modelled and simulated in MATLAB/Simulink. The simulations results are presented.

Flow and heat transfer performance of array finned channel coupled jet heat sink

The rapid rise in temperature of perovskite tandem solar cells under a high concentration ratio has introduced a huge decline in the efficiency of photoelectric conversion. To solve this problem, an array finned channel coupled jet heat sink has been designed. The ratio of height to diameter of the jet (H/d) on heat transfer, channel aspect ratio, pumping power, and other factors on heat transfer and flow characteristics are examined by the computational fluid dynamics and experimental methods. The results suggest that the trough micro-jet heat sink demonstrates better performance than the smooth cooled surface heat sink. The smaller the H/d, the better the heat transfer performance, and the larger the jet Reynolds number, the better the heat exchange effect. The key influence factor of pressure loss is the heat sink structure. With the increasing pumping power, the overall thermal resistance decreases, and the trend tends to be flatter when the pumping power exceeds 0.15 W. For constant Rea, the larger the input heat flux Q, the larger the energy efficiency ratio and the higher the utilization rate of energy.

A comparative study on photovoltaic/thermal systems with various cooling methods

Nowadays Photovoltaic (PV) is the most promising technology for converting solar radiation into electricity. The main drawback of PV technology is lesser efficiency as compared to conventional power-generating technologies. Generally, PV efficiency decreases as temperature increases, with a magnitude of about 0.5%/°C. This drawback can be resolved with a proper cooling technique that has been proposed in recent years. Numerous cooling techniques have been developed, and most of them are based on active water and air cooling because they are the simplest. This article aims to discuss the recent developments in PV panel cooling techniques and thermal management. The improvement in electrical efficiency depends upon the proper cooling techniques, capacity, type of PV module, and yearly climate condition of the locations which often results in a 3–5% improvement. The cooling techniques should be designed for PV systems in such a way that is simple to install, reliable, natural in their effectiveness, and maintain a low solar cell temperature.

Advanced phase change hydrogel integrating metal-organic framework for self-powered thermal management

With increasing global installation of photovoltaic panels and more complex functionalities of smart electronic devices, a fundamental problem in photovoltaic conversion and electronic device operation is massive heat generation, which severely reduces energy utilization efficiency and service life. Herein, we proposed a self-powered thermal management strategy integrating metal-organic framework (MOF) and liquid-gas phase change hydrogel ((Poly (vinyl alcohol)/CaCl2·6H2O, PVA/CH), which is much beyond traditional solid-liquid phase change materials in phase change enthalpy. Benefiting from the self-adaptive capability of MOF, MOF@PVA/CH bilayer was capable of efficiently evaporating water molecules with a rate of ∼0.90 kg m−2 h−1 at higher temperature and capturing water molecules with a rate of 0.21 g g−1 from the surrounding humid air at lower temperature for self-regeneration. Specifically, this self-adaptive passive cooling strategy tremendously boosted the thermal management efficiency of the simulative heater, and reduced the surface temperature of solar cell by 18 ℃. Our proposed approach provides a promising reference for achieving high cooling efficiency, low-energy consumption, and self-powered thermal management for thermo-related devices.

Experimental study of a novel hybrid photovoltaic/thermal and thermoelectric generators system with dual phase change materials

Photovoltaic (PV) cell technology has evolved dramatically since its invention. However, the adverse effects of the rise in the temperature of solar cells on electrical efficiency are still a problem, and the methods to control it are of great interest. Deploying thermoelectric generators (TEG) and phase change materials (PCM) have been scrutinized in recent years. PCMs impede the system from heating up by absorbing thermal energy at the melting temperature. TEGs exploit the temperature gradient in systems and generate electricity. In this experimental investigation, a PV/T-TEG-2PCM with two different PCM materials and metallic heat transfer enhancers; and another setup of PV/T-TEG were assembled, simultaneously examined, and operational parameters were measured. Performance of both systems from thermal and electrical energy and exergy perspectives were compared. Results showed that the proposed PV/T-TEG-2PCM with two PCMs was superior to the PV/T-TEG configuration in every area. The proposed PV/T-TEG-2PCM was able to decrease the average solar cell temperature and increase the TEG temperature gradient up to 89.4% and 1.2%, respectively. The mean electrical energy and total exergy efficiencies of the PV/T-TEG-2PCM system were 8.1% and 9.9% higher than the PV/T-TEG system, respectively.

Theoretical study of perovskite solar cell for enhancement of device performance using SCAPS-1D

Perovskite solar cells are a pioneering photovoltaic technology that has significantly improved performance in current years. The fundamental n-i-p planar heterojunction structure of solar cells is structured and simulated in the present work. The device configuration Glass/ITO/WS2/CH3NH3PbI3/P3HT/Au was investigated using the Solar Cell Capacitance Simulator (SCAPS-1D) program. To increase the performance of the photovoltaic solar cell thickness, bandgap, doping concentration and temperature have been varied. Further, using the optimal value of the different parameters, the performance of the photo-voltaic device such as power conversion efficiency (PCE) and Fill Factor (FF) are obtained as 27.02%, and 85.44%, respectively. Also, Open-circuit Voltage (VOC) of 1.46 V and Short-circuit current density (JSC) of 21.56 mA cm−2 were achieved. The influence of donor concentrations has been studied by varying its value from 1 × 10−12 cm−3 to 1 × 10−20 cm−3 for the proposed device. Thus, using different charge transport materials, the power convergence efficiency of the perovskite solar cell has been enhanced. Our simulation study reveals that the proposed configuration could be used to fabricate a device for the improvement of the efficient perovskite solar cell.

Effect of Temperature on Energy Consumption and Polarization in Reverse Osmosis Desalination Using a Spray-Cooled Photovoltaic System

Reverse osmosis (RO) desalination is considered a viable alternative to reduce water scarcity; however, its energy consumption is high. Photovoltaic (PV) energy in desalination processes has gained popularity in recent years. The temperature is identified as a variable that directly affects the behavior of different parameters of the RO process and energy production in PV panels. The objective of this study was to evaluate the effect of temperature on energy consumption and polarization factor in desalination processes at 20, 23, 26 and 30 °C. Tests were conducted on a RO desalination plant driven by a fixed 24-module PV system that received spray cooling in the winter, spring and summer seasons. The specific energy consumption was lower with increasing process feed temperature, being 4.4, 4.3, 3.9 and 3.5 kWh m−3 for temperatures of 20, 23, 26 and 30 °C, respectively. The water temperature affected the polarization factor, being lower as the temperature increased. The values obtained were within the limits established as optimal to prevent the formation of scaling on the membrane surface. The spray cooling system was able to decrease the temperature of the solar cells by about 6.2, 13.3 and 11.5 °C for the winter, spring and summer seasons, respectively. The increase in energy production efficiency was 7.96–14.25%, demonstrating that solar cell temperature control is a viable alternative to improve power generation in solar panel systems.

Numerical Investigation on Using MWCNT/Water Nanofluids in Photovoltaic Thermal System (PVT)

Photovoltaic thermal systems (PVT) are solar energy conversion systems that produce both electricity and heat simultaneously. PVT systems seeking to minimize temperature of solar cells become more significant with the increased thermal and electrical efficiency of the working fluids (water and nanofluids) employed in the solar thermal system. The major objective of this research is to investigate the thermal, electrical and overall performance of the photovoltaic thermal (PVT) system with different weight fractions of MWCNT/water nanofluids (φ = 0.3%, 0.6% and 1%) and water. A sheet and tube PVT system model geometry, which has been simplified to rectangular PV cell, absorber plate, cylindrical pipe, and fluid domain geometries to investigate outlet and PV cell temperature of photovoltaic thermal (PVT) system between different weight fractions of MWCNT/water nanofluids (φ = 0.3%, 0.6% and 1%) and water with varying fluid inlet velocities from 0.02 m/s to 0.08 m/s using ANSYS FLUENT. The results show that increasing the inlet fluid velocity and weight fraction of the working fluid improves thermal and electrical efficiency. The highest improvement in thermal and electrical efficiency at 0.08m/s inlet fluid velocity for the weight fractions, φ = 1% of MWCNT/water nanofluids is 7.8% and 0.03% compared to water. In addition, the weight fractions, φ = 0.3% of MWCNT/water nanofluids is 4.46% and 0.01% and the weight fractions, φ = 0.6% of MWCNT/water nanofluid is 6.72% and 0.02%. Additionally, the maximum increase of overall efficiency at 0.08m/s inlet fluid velocity for the weight fractions, φ = 1% of MWCNT/water nanofluids is 7.83% compared to water while the weight fractions, φ = 0.3% of MWCNT/water nanofluids is 4.43% and the weight fractions, φ = 0.6% of MWCNT/water nanofluid is 6.74% at inlet fluid velocity of 0.08 m/s. As a result of the research, it was discovered that using MWCNT/water nanofluids improves the performance of PVT systems.

Cementitious materials as promising radiative coolers for solar cells

SummaryNowadays, radiative coolers are extensively investigated for the thermal management of solar cells with the aim of improving their performance and lifetime. Current solutions rely on meta-materials with scarce elements or complex fabrication processes, or organic polymers possibly affected by UV degradation. Here, the potential of innovative cement-based solutions as a more sustainable and cost-effective alternative is reported. By combining chemical kinetics, molecular mechanics and electromagnetic simulations, it is shown that the most common cements, i.e., Portland cements, can be equipped with excellent radiative cooling properties, which might enable a reduction of the operating temperature of solar cells by up to 20 K, with outstanding efficiency and lifetime gains. This study represents a first step toward the realization of a novel class of energy-efficient, economically viable and robust radiative coolers, based on cheap and available cementitious materials.

Performance improvement of photovoltaic/Trombe wall by using phase change material: Experimental assessment

Hybrid PV/thermal systems suffer from reduced electrical performance due to high temperatures. The present study uses a phase change material (PCM) to optimize the performance of a PV/TW system. In this research, an empirical system was designed and utilized to study the impact of PCM, DC fan, and heat exchange on a photovoltaic Trombe wall system. The outcomes showed that by introducing the phase change material, a DC fan and heat exchanger presented appropriate features of the system performance. It was confirmed that using these different configurations led to a lower solar cell temperature and improved room comfort. The presence of the PCM and the heat exchanger together caused the electrical and thermal efficiency values to rise by 3 % and 1.5 %, respectively. Moreover, the combined impact of the DC fan and the heat exchanger together increased electrical and thermal efficiencies values by 1 % and 26 %, respectively.

The effects of a novel baffle-based collector on the performance of a photovoltaic/thermal system using SWCNT/Water nanofluid

• The baffle-based PVT systems are more efficient than simple-based modules. • Baffled-water-based PVT unit reduces cell temperature and rises outflow temperature significantly compared to the simple one. • A baffled collector system allows less temperature increase in the panels as more solar radiation is received. • The improvement of the baffle-based PVT can be amplified by increasing the flow rate. The paper presents a novel baffle-based collector for a photovoltaic/thermal system (PVT) to increase output from the system using solar power. A three-dimensional numerical model of the baffled-based PVT system was developed using the Finite volume scheme and pure water and SWCNT/Water nanofluid as the working fluids. Validation of the model was carried out using experimental and numerical results. The results of both tests showed that the relative errors of the results were less than 2.25\% and 3.54\% , respectively, which confirmed the model's accuracy. We evaluated the effects of concentration of SWCNT nanofluid, solar radiation, and flow rate on both panel cells and outlet fluid flow temperatures and also on PVT systems' electrical and thermal efficiency, using both baffle and simple channel heat collectors. The proposed baffle-based collector outperforms the straightforward collectors in all examined cases. As a result of the baffles installed in the collector, the heat transfer area and convectional heat transfer coefficient are increased, which leads to better heat transfer between the solar cells and the collector fluid. As the baffles in the collector disrupt the flow, vortices are generated, which increases the rate of heat absorbed from the PV panel by the working fluid. The solar panel temperature increases less with a baffled collector system than with a simple one as more solar radiation is captured. Additionally, in the baffle-SWCNT-based PVT framework, solar cell temperature decrease by 3.83\% , and outlet temperature, electrical and thermal efficiencies increase by 1.63\% , 0.83\% , and 4.39\% , respectively, in comparison with the simple collector. The baffle-water-based system's overall efficiency is 66.45\% , while the simple-water-based system is 63.85\% . Among the obtained results, the SWCNT/water nanofluid does not offer a significant advantage over the water-based PVT module. Furthermore, the baffle-water-based PVT system was chosen as the optimal case in this study.

Performance Analysis and Optimization of a Cooling System for Hybrid Solar Panels Based on Climatic Conditions of Islamabad, Pakistan

The unconvertible portion of incident radiation on solar panels causes an increase in their temperature and a decrease in efficiency due to the negative temperature coefficient of the maximum power. This problem is dealt with through the use of cooling systems to lower the temperature of photovoltaic (PV) panels. However, the developments are focused on the loss of efficiency or extract the heat out of the solar panel, rather than optimizing the solution to produce a net gain in the electric power output. Therefore, this study proposes the analytical model for the cell temperature, irradiance and design of absorbers. Furthermore, the cooling systems for the hybrid solar panels were developed through analytical modeling of the solar cell temperature behavior and heat exchange between the fluid and back surface of the PV module in MATLAB. The design parameters such as mass flow rate, input power, solar cell temperature, velocity, height, number of passes and maximum power output were optimized through a multi-objective, multivariable optimization algorithm to produce a net gain in the electrical power. Three layouts of heat absorbers were considered—i.e., single-pass ducts, multi-pass ducts, and tube-type heat absorbers. Water was selected as a cooling medium in the three layouts. The optimized results were achieved for the multi-pass duct with 31 passes that delivered a maximum power output of 186.713 W at a mass flow rate of 0.14 kg/s. The maximum cell temperature achieved for this configuration was 38.810 °C at a velocity of 0.092 m/s. The results from the analytical modeling were validated through two-way fluid-solid interaction simulations using ANSYS fluent and thermal modules. Analyses revealed that the multi-pass heat absorber reduces the cell temperature with the least input power and lowest fluid mass flow rate to produce the highest power output in the hybrid PV system.

Performance investigation of SUNTRAP module for different locations: An energy and exergy analysis

Concentrating Photovoltaic/Thermal (CPV/T) systems can harness the freely available solar energy to simultaneously generate electricity and sensible heat. Using the principles of optical concentration, they can generate more electrical energy per unit area of solar cells and provide a better quality of thermal energy. In this work, we have developed an analytical model to simulate and predict the performance of a dense array hybrid CPV/T collector called “SUNTRAP.” The concentration of incident radiation is achieved using a reflective type three-dimensional cross-compound parabolic concentrator (3DCCPC) with a geometric concentration ratio of 3.6 × . The extraction of heat from the solar cells is achieved by allowing water to flow through the copper cooling duct on which the solar cells with CCPC are bonded. Using previously developed algorithms, the optical efficiency of the CCPC is calculated as a function of solar azimuth and altitude angle. The obtained optical efficiency is coupled to the thermal model to obtain the temperature distribution in the collector. The numerical results are in good agreement with the experimental measurements obtained at the outdoor solar laboratory at Penryn Campus, Cornwall. The average deviation in outlet water temperature between the numerical and experimental ones is 1.9%. The total electrical and thermal energy obtained from the CCPC-PV/T module on an experimental day is 1.21 kWh/m2 and 46.46 kWh/m2. A parametric study was done to obtain the effect of flow rate and external wind velocity on the performance of the collector. The solar cell temperature is found to decrease with an increasing flow rate. The performance prediction of the CCPC-PV/T module at Penryn shows that the module produced maximum energy in August, producing 7.51 kWh/m2 of useful energy. An economic analysis was performed to obtain the Levelized cost of electricity (LCOE) that the CCPC-PV/T module can deliver, and the LCOE was found to be £1.08/kWh. The coupled model is also utilised to predict the performance of the system for five different geographical locations, including Chennai, Rome, Alice Springs, Montreal, and Barrow. The model considers optimum panel tilt and time-dependent optical efficiency of the concentrator while estimating the energy output. Based on the results, the overall performance of the collector was found to be good in Chennai, with an annual electrical energy gain of 51.95 kWh/m2 and an annual thermal energy gain of 1164 kWh/m2.

Performance improvement of a concentrated photovoltaic-thermoelectric system by exploiting geometry configuration

The performance improvement of a concentrated photovoltaic-thermoelectric system by exploiting thermoelements with altered cross-sections is presented. The regular rectangular cross-sectional area adopted in thermoelectric devices is replaced with circular cross-sectional area and the accuracy of the numerical results are established by comparisons with experimental data. The numerical model is setup in ANSYS software and thermoelectric material temperature dependency is considered. The optimized parameters of the system include the solar concentration ratio, convective cooling, ambient temperature, and the wind speed while the performance parameters are the solar cell temperature, system power, energy efficiency, and thermoelectric generator temperature difference. It was found that the proposed system with circular legs improved the power and energy efficiency of the conventional system with rectangular legs by 226% and 68% at a concentration ratio of 45, respectively. The optimum design conditions necessary for fabricating the proposed device using additive manufacturing technology are also provided.

Effect of Solar Cell Temperature on The Performance of Compound Parabolic Solar PV Concentrator

In this paper, a concentrating photovoltaic system (CPV) by using a compound parabolic concentrator and a monocrystalline solar module has been designed and studied theoretically under a concentration ratio of 3.16x. The performance the system is studied over the course of the day from 8:00 AM to 16:00 PM for 12 months under Iraq-Baghdad conditions. Current in a short circuit (Isc), voltage in an open circuit (Voc) as well as maximum power (Pm) are calculated with and without a concentrator under constant solar module temperature (25°C). The results indicated that the optimum value of output power can be obtained on June 21, which is about 246.9W for CPV. In the second part, the effect of solar cell temperature within a range of 25 °C−115 °C on its performance has been studied for the optimum day of the year, June 21st. The output power of the device may be viewed in CPV is 246.9 W in comparison to the flat PV module, which gives 83.44W under solar cell temperature of 25°C and decreases to 125.3W and 40W under cell temperature of 115°C for the CPV and flat module, respectively.

Prediction of the performance of a solar PV system in Baghdad, Iraq

The world is actively seeking alternatives to traditional energy sources amid increasing demand for energy as a result of population growth, the development of technologies, and the environmental pollution caused by traditional energy sources and their tendency to deplete. Renewable energy sources are one of the most promising sources, mainly solar energy, which is the source of most of these sources. The goal of this work is to analyze data collected by the Al-Rashidiya meteorological station to predict the performance of solar PV modules (NT-R0E3E-SHARP) in this geographical area. Depending on the data from the Al-Rashidiya meteorological station, each of the tilted global solar radiation, cell temperature, output power, and electric conversion efficiency was calculated by using the PV model. The results indicated that the annual solar radiation incident in Baghdad with the horizontal plane was 1834kWh/m2/year with an annual peak sun hours (solar fuel) of 5, and the degradation percentage in the electrical conversion efficiency of monocrystalline silicon solar cells ranged between 2% in winter to 11% in summer. From the results of the present work, it can be concluded that Baghdad’s geographical area and surroundings are promising for investing in solar energy to produce electricity.

Robust Load Frequency Control of Hybrid Solar Power Systems Using Optimization Techniques

It is necessary to predict solar photovoltaic (PV) output and load profile to guarantee the security, stability, and reliability of hybrid solar power systems. Severe frequency fluctuations in hybrid solar systems are expected due to the intermittent nature of the solar photovoltaic (PV) output and the unexpected variation in load. This paper proposes designing a PID controller along with the integration of a battery energy storage system (BESS) and plug-in hybrid electric vehicle (PHEV) for frequency damping in the hybrid solar power system. The solar PV output is predicted with high accuracy using artificial neural networks (ANN) given that solar irradiance and cell temperature are inputs to the model. The variation in load is also forecasted considering the factors affecting the load using ANN. Optimum values of the PID controller have been found using genetic algorithm, particle swarm optimization, artificial bee colony, and firefly algorithm considering integral absolute error (IAE), integral square error (ISE), and integral time absolute error (ITAE) objective functions. IAE, ISE, ITAE, Rise time, settling time, peak overshoot and maximum frequency deviation have been measured for comparison and effectiveness. The transient behavior has been further improved by utilizing the power from BESS/PHEV to the power system. The results demonstrate the efficacy of the suggested design for frequency control using the genetic algorithm method along with ISE objective function compared with those obtained from the conventional, particle swarm optimization, artificial bee colony, and firefly algorithm techniques.

New system designed for monitoring of solar radiation in urban areas

AbstractThis study describes the estimation of solar radiation from photovoltaic (PV) power generation in smart streetlights (SSL) with a heat transfer model. The distribution of solar radiation is important for managing PV power generation. In particular, the demand for electricity for air conditioners and lighting in urban areas is large, so it is a major target for reducing greenhouse gases by introducing PV power. Solar radiation data that includes information on building shadows and reflections can be obtained by high‐density sampling in urban areas using SSL. These data, which include the three‐dimensional effects of urban structures such as buildings, can help urban planning to incorporate PV power generation. Diverse monitoring data in addition to urban canopy top solar radiation data will accelerate the introduction of PV power. The thermal state of the PV panel is an uncertain factor that links solar radiation and PV power generation. Here, we investigate an hourly constant model, a steady‐state model, and two nonsteady state models with daily and monthly intervals for predicting solar radiation from PV power generation at two locations over one winter month. Solar radiation is estimated by evaluating solar cell temperature, except for the hourly constant model. For the nonsteady‐state model, two types of heat transfer model, which consider only wind speed or both wind speed and direction for convection, are used. The model that includes wind speed and direction calculated by a Joukowski transform is effective, and the highest model accuracy is a mean absolute percentage error of less than 6.3% for the monthly average.