Comprehensive Examination of Solar Panel Design: A Focus on Thermal Dynamics

In the 21st century, the deployment of ground-based Solar Photovoltaic (PV) Modules has seen exponential growth, driven by increasing demands for green, clean, and renewable energy sources. However, their usage is constrained by certain limitations. Notably, the efficiency of solar PV modules on the ground peaks at a maximum of 25%, and there are concerns regarding their long-term reliability, with an expected lifespan of approximately 25 years without failures. This study focuses on analyzing the thermal efficiency of PV Modules. We have investigated the temperature profile of PV Modules under varying environmental conditions, such as air velocity and ambient temperature, utilizing Computational Fluid Dynamics (CFD). This analysis is crucial as the efficiency of PV Modules is significantly impacted by changes in the temperature differential relative to the environment. Furthermore, the study highlights the effect of airflow over solar panels on their temperature. It is found that a decrease in the temperature of the PV Module increases Open Circuit Voltage, underlining the importance of thermal management in optimizing solar panel performance.

Thin Film Photovoltaic/Thermal Solar Panels

A solar panel is described,in which thin films of semiconductor are deposited onto a metal substrate.The semiconductor-metal combination forms a thin film photovoltaic cell,and also acts as a reflector-absorber tandem,which acts as a solar selective surface,thus enhancing the solar thermal performance of the collector plate.The use of thin films reduces the distance heat is required to flow from the absorbing surface to the metal plate and heat exchange conduits.Computer modelling demonstrated that,by suitable choice of materials,photovoltaic efficiency can be maintained,with thermal performance slightly reduced,compared to that for thermal-only panels.By grading the absorber layer-to reduce the band gap in the lower region-the thermal performance can be improved,approaching that for a thermal-only solar panel.

Contrastive Observation of Solar Thermal and Photovoltaic Resource

Solar thermal and photovoltaic applications are the most w idely used and the most successful w ay of commercial development in solar energy applications. Observation and assessment of solar thermal and photovoltaic resources are the basis and key of their large-scale development and utilization. Using the observational data carried out from Beijing southern suburbs observation station of China M eteorological Administration in summer of 2009,preliminary solar thermal and photovoltaic resources characteristics for different w eather conditions,different angle and different directions are analyzed. The results show that:(1) In sunny,cloudy or rainy w eather conditions,both of solar thermal and photovoltaic sensors daily irradiance have consistent change in trend. Solar thermal irradiance is larger than photovoltaic. Under sunny conditions,solar thermal global radiation has about 2.7%higher than the photovoltaic global radiation. Under cloudy w eather conditions,solar thermal global radiation has about 3. 9%higher than the photovoltaic. Under rainy w eather conditions,solar thermal global radiation has about 20% higher than the photovoltaic.(2) For different inclined plane daily global radiation,southern latitude-15 °incline is the maximum and southern vertical surface is the minimum. The order from large to small is southern latitude-15 ° incline,southern latitude incline,southern latitude+15 °incline,horizontal surface and southern vertical surface. Southern latitude-15 °incline global radiation has about 41% higher than the southern vertical surface.(3) For different orientation vertical surface daily global radiation,southern vertical surface is the maximum and w estern vertical surface is the minimum,w hich eastern vertical surface is in the middle. Southern vertical surface global radiation has about 20% higher than the w estern vertical surface.

Practical Realization of a Hybrid Solution for Photovoltaic and Photothermal Conversion

In this paper, an idea and a realization of a hybrid Operational solar system is presented and practically verified discussed on the base of the performance and efficiency results, is confirmed. solution for photovoltaic and photothermal conversion is presented. by the series of experiments. Improvements of the construction are The synergy effect ofphotothermal and photovoltaic part cooperation

A switchable concentrating photovoltaic/concentrating solar power(CPV/CSP)hybrid system for flexible electricity/thermal generation

Due to the intermittency and indeterminacy of solar irradiance,balancing energy supply and load demand remains a challenge.This paper proposed a switchable hybrid system that combines concentrating photovoltaic/concentrating solar power(CPV/CSP)technology with thermal energy storage(TES)to achieve flexible electricity and thermal generation by adjusting the incident solar flux of photovoltaic(PV).The hybrid system can directly transfer surplus solar energy into high-quality heat for storage using a rotatable PV/heat receiver.The simulated results demonstrated that the hybrid system effectively improves power generation,optimally utilizes TES capacity,and reduces the levelized cost of electricity(LCOE).Over a selected seven-day period,the single-junction(1J)Ga As solar cells used in the hybrid system sustainably satisfied the load demand for more than five days without grid supplement,outperforming the CSP plant by an additional two days.The hybrid system utilizing the 1J Ga As with the base configuration of solar multiple(SM)of 1.26 and TES capacity of 5 h improved the annual power production and renewable penetration(RP)by 20.8%and 24.8%compared with the conventional CSP plant,respectively.The hybrid plant with monosilicon and a configuration of SM(1.8),PV ratio(1),and TES capacity(6 h)achieved an optimal LCOE of11.52$ct/k Wh and RP of 75.5%,which is 8.8%lower and 12.1%higher than the CSP plant,respectively.

Extension of Distribution Transformer Life in the Presence of Smart Inverter-based Distributed Solar Photovoltaic Systems

A transformer is an essential but expensive power delivery equipment for a distribution utility.In many distribution utilities worldwide,a sizable percentage of transformers are near the end of their designed life.At the same time,distribution utilities are adopting smart inverter-based distributed solar photovoltaic(SPV)systems to maximize renewable generation.The central objective of this paper is to propose a methodology to quantify the effect of smart inverter-based distributed SPV systems on the aging of distribution transformers.The proposed method is first tested on a modified IEEE-123 node distribution feeder.After that,the procedure is applied to a practical distribution system,i.e.,the Indian Institute of Technology(IIT)Roorkee campus,India.The transformer aging models,alongside advanced control functionalities of grid-tied smart inverter-based SPV systems,are implemented in MATLAB.The open-source simulation tool(OpenDSS)is used to model distribution networks.To analyze effectiveness of various inverter functionalities,time-series simulations are performed using exponential load models,considering daily load curves from multiple seasons,load types,current harmonics,etc.Findings show replacing a traditional inverter with a smart inverter-based SPV system can enable local reactive power generation and may extend the life of a distribution transformer.Simulation results demonstrate,simply by incorporating smart inverter-based SPV systems,transformer aging is reduced by 15%to 22%in comparison to SPV systems operating with traditional inverters.

Optimal Sizing of Solar/Wind Hybrid Off-Grid Microgrids Using an Enhanced Genetic Algorithm

This paper presents a method for optimal sizing of an off-grid hybrid microgrid (MG) system in order to achieve a certain load demand. The hybrid MG is made of a solar photovoltaic (PV) system, wind turbine (TW) and energy storage system (ESS). The reliability of the MG system is modeled based on the loss of power supply probability (SPSP). For optimization, an enhanced Genetic Algorithm (GA) is used to minimize the total cost of the system over a 20-year period, while satisfying some reliability and operation constraints. A case study addressing optimal sizing of an off-grid hybrid microgrid in Nigeria is discussed. The result is compared with results obtained from the Brute Force and standard GA methods.

Improving the Performance of Photovoltaic Power Plants with Determinative Module for the Cooling System

The objective of this work is to analyze and evaluate the impact of cooling systems on photovoltaic modules (for electricity generation), applied at a pilot Testing Facility. The results obtained during this step are used as input in order to determine the best model to be applied at a real-scale Photovoltaic Power Plant (PVPP). This methodology is based on the monitoring and supervision of the operating temperature of commercial photovoltaic modules (PV), both with and without cooling systems, as well as on the study of the water supply design of the cooling system applied on a micro photovoltaic power plant which is connected to the commercial network. Through the analysis of the data, we observed that photovoltaic modules with cooling systems always operate at lower temperatures than the ones without cooling systems. During the testing period, the operating temperatures of the photovoltaic modules without cooling systems were above 60oC (with a maximum temperature equaling 68.06oC), whereas the maximum temperatures registered on the sensors of the model “A” were 43.55oC and 44.75oC, and the ones registered on the sensors of the model “B” were 46.76 and 48.33oC. Therefore, we conclude that the photovoltaic module with the cooling system model “A” is the most suitable for large-scale application, since it was the only model to present temperatures lower than the nominal operating condition temperature (NOCT) of the cell (47oC ± 2oC).

Performance Analysis of a Rooftop Hybrid Connected Solar PV System

In the present work,a 5-kW hybrid PV solar system was installed on the roof of a house in Diyala,Iraq(33.77°N,45.14°E elevation 44 m).The system consists of two strings,where each string consists of nine polycrystalline PV modules with 355 Wp in series,and the two strings are in parallel.The energy storage system(ESS)consists of two parallel strings,each with four 12 V and 150 Ah tubular deep cycle batteries in series.A hybrid inverter of 5 kW rated power was operated in different modes.The results showed that May’s monthly energy consumption was about 822.9 and 1085 kWh,respectively.The percentage distribution of the DC energy produced was about 1%system energy losses,27.9%was used to charge the ESS,34.3%was used to feed the grid,and the remaining 37.64%was used to share the load.The energy percentage sharing the load was 16.67%from ESS,33.33%from the PV system,and 50%purchased.The average daily reference,array,and final yields were 6.07,4.327,and 3.991 h/day,respectively.The average array and load efficiencies were 12.3%and 92.24%,with the performance ratio at 65.4%.

Mapping of decentralised photovoltaic and solar thermal systems by remote sensing aerial imagery and deep machine learning for statistic generation

As a mean to monitor the rapid expansion of the highly decentralized PV market,identifying solar energy systems in aerial imagery by deep machine learning,is a research field that is getting increasing interest.One general challenge in the field is to create testing data of high quality that are representative of the end-use application.In this study we use the open source convolutional neural network developed within the DeepSolar project and apply it in the country of Sweden,for the purpose of generating market statistics,by scanning three complete municipalities for small decentralized photovoltaic and solar thermal systems.The evaluation of the performance is done against a highly accurate ground truth,which was created by cross-checking the classification results with the inventory of the local distribution system operators and the database of photovoltaic systems that have received a capital subsidy in Sweden,and combining that with physical onsite inspections.A process of generate additional training data and re-training the algorithm after each municipality scan was developed,which suc-cessively improved the accuracy,resulting in that 95%of all detectable photovoltaic,excluding building inte-grated and vertical systems,and 80%of all detectable solar thermal systems were correctly identified in the last municipality scan.The accurate ground truth allowed a quantification of why some systems are not detected.The generated dataset of solar energy systems could be connected to existing building and property inventories,which allowed creation of market segment statistics with remarkably high detail information.

风光热储互补发电系统容量配置技术研究

针对无常规电源支撑的风光热储互补发电系统,协调规划装机容量对提高发电系统运行经济性和利用率具有重要意义。提出了一种双层优化配置方法,上层以最小度电成本及弃电率为目标,确定系统装机容量;下层以新能源发电消纳最大为目标,解决功率分配问题。通过反复迭代寻优,得到系统容量配置;然后;通过纳什谈判对优化结果进行选择;最后,对甘肃河西地区数据进行仿真分析。结果表明:风光热储互补发电系统最优容量配置下的度电成本为0.3064元/(k W·h);风电场加光伏电站装机容量与光热电站装机容量的最优比为6:1,对比相同装机容量的风光互补发电系统,风光热储互补发电系统具有更高的稳定性。

A review of concentrated photovoltaic-thermal(CPVT) hybrid solar systems with waste heat recovery(WHR)

In conventional photovoltaic(PV) systems, a large portion of solar energy is dissipated as waste heat since the generating efficiency is usually less than 30%. As the dissipated heat can be recovered for various applications, the wasted heat recovery concentrator PV/thermal(WHR CPVT) hybrid systems have been developed. They can provide both electricity and usable heat by combining thermal systems with concentrator PV(CPV) module, which dramatically improves the overall conversion efficiency of solar energy.This paper systematically and comprehensively reviews the research and development of WHR CPVT systems. WHR CPVT systems with innovative design configurations, different theoretical evaluation models and experimental test processes for several implementations are presented in an integrated manner. We aim to provide a global point of view on the research trends, market potential, technical obstacles, and the future work which is required in the development of WHR CPVT technology. Possibly, it will offer a generic guide to the investigators who are interested in the study of WHR CPVT systems.

Optical analysis of a hybrid solar concentrating Photovoltaic /Thermal (CPV/T) system with beam splitting technique

A novel hybrid solar concentrating Photovoltaic/Thermal (CPV/T) system with beam splitting technique is presented. In this system, a beam splitter is used to separate the concentrated solar radiation into two parts: one for the PV power generation and the other for thermal utility. The solar concentrator is a flat Fresnel-type concentrator with glass mirror reflectors. It can concentrate solar radiation onto solar cells with high uniformity, which is beneficial to improving the efficiency of solar cells. The thermal receiver is separated to the solar cells, and therefore, the thermal fluid can be heated to a relatively high temperature and does not affect the performance of solar cells. A dimensionless model was developed for the performance analysis of the concentrating system. The effects of the main parameters on the performance of the concentrator were analyzed. The beam splitter with coating materials Nb2O3 /SiO2 was designed by using the needle optimization technique, which can reflect about 71% of the undesired radiation for silicon cell(1.1m < 3m) to the thermal receiver for thermal utility. The performance of this CPV/T system was also theoretically analyzed.

双层相变材料复合水箱蓄热特性研究

以双层相变材料复合水箱为研究对象,通过数值模拟和实验研究的方法,对该水箱的蓄热特性进行模拟分析与实验验证,对比分析单、双层相变材料复合水箱的热特性,探究双层相变材料位置对复合水箱蓄热特性的影响规律。研究结果表明,与单层相变材料复合水箱相比,双层相变材料复合水箱的热分层更好,蓄热能力得到提升,双层相变材料复合水箱较普通水箱的蓄热量提高9.7%。双层相变材料距离进出水口位置较远时,相变材料完成熔化的时间更接近,更有利于蓄热水箱的热分层。

双流体型光伏光热屋顶组件的热、电性能实验研究

文中提出一种无盖板的双流体型光伏光热屋顶组件,通过将管板式水冷流道与折流板式空冷流道组合,降低组件水容量、提升空气出口温度,实现组件热水、热空气两种热能形式的供应。通过搭建具有稳定测试环境的性能测试试验台,研究组件工质进出口温差、光伏电池温度等随太阳辐照度、工质流量的变化情况,对组件全天热、电性能进行分析。结果表明,该组件光伏电池冷却效果明显,水冷、空冷模式下电效率最高可达16.8%、17.6%,拥有较高的全天综合性能,全天综合利用率最高为74%。

一种用于光电/光热综合利用的光谱选择性金属网格涂层

针对光电/光热综合利用(PV/T),提出一种纳米级金属(银)网格涂层,在太阳辐射波段(0.3~2.5μm)具有高透过率,在红外波段(2.5~25μm)具有高反射率,与全波段(0.3~25μm)高吸收/发射的PV/T吸收器结合可产生太阳辐射波段高吸收、红外低发射的光谱选择特性,从而显著降低PV/T的辐射热损。基于时域有限差分方法,模拟分析网格周期、宽度和厚度对金属网格涂层光谱特性的影响。结果表明:当纳米金属网格的周期为500 nm,厚度为50 nm、宽度为30 nm时,其太阳波段透过率达到0.90,红外反射率达到0.88。与已有ITO光谱选择性涂层相比,金属网格涂层的太阳辐射透过率提高20%,红外反射率提高24%,同时薄层电阻(5.3Ω/Sq)降低47%。

商场冷凝水耦合光伏/光热系统在不同气候区的适宜性研究

光伏光热技术是太阳能的主要利用方式之一,太阳能光伏光热一体化(solar photovoltaic-thermal,PV/T)系统可实现系统产电和热量的双重效益。基于不同气候区的气候特征,以商场冷凝水耦合光伏/光热系统为研究对象。在确定制冷季冷凝水量的基础上,计算分析系统一次能源节约率及环境效益,研究该系统在不同气候区的适宜性。结果表明:在寒冷地区、夏热冬冷地区和夏热冬暖地区,PV/T系统比光伏(photovoltaic,PV)系统更加高效节能。在整个制冷季中,PV/T系统的发电量均高于PV系统,海口的发电效率提升了0.53%,拉萨的发电效率提升了0.11%;PV/T系统在海口地区一次能源节约率最高,达到59.62%;青岛CO_(2)减排量最高,总减排量达到5.5 t。

计及风光不确定性的风-光-光热联合发电系统中光热电站储热容量优化配置

传统新能源电站之间联合形式单一且未考虑风光出力不确定性,弃风、弃光现象严重。为此,提出了一种考虑风光不确定性的风-光-光热联合系统的光热电站储热容量优化配置策略,利用电转热技术使风光电站和光热电站有效耦合,明确联合系统框架与原理;采用改进拉丁超立方抽样方法抑制风光出力的不确定性。最后,构建基于风光出力典型场景的光热电站储热容量双层优化配置模型,并进行算例求解,结果表明所提方法显著降低了系统总投资与运行成本,提高了清洁能源消纳能力。

基于太阳能分频利用的光伏/光热综合发电系统热力学分析

通过对太阳能聚光投入辐射进行分频,建立光伏与光热驱动有机朗肯循环综合供电系统。在冷却背板温度100℃的限制下,对该系统进行热力学分析,筛选了适宜的循环工质,获得了有机朗肯循环(ORC)系统优化的蒸发温度。结果表明:isobutene作为光伏系统的冷却工质和ORC系统的循环工质时系统效率最高,分频技术将冷却背板散热负荷转移至集热器,可降低光伏板的散热需求,从而降低循环工质质量流量,对提高系统发电能力有积极作用,该系统可将单纯光伏发电效率提高9百分点;同时,分频效率和太阳能电池吸收波段对综合供电系统的总效率影响较大。

基于EnergyPlus和Jeplus+EA联合模拟的建筑围护结构及光储系统协同优化研究

建筑本体和可再生能源系统的协同作用对于降低建筑碳排放具有重要意义.以北京某办公建筑为例,基于NSGA-Ⅱ的优化算法,以运行阶段碳排放和生命周期成本为目标函数,以热舒适为约束条件,利用EnergyPlus和Jeplus+EA软件进行联合仿真,开展建筑围护结构和光储系统的协同优化研究.结果表明:配置光储系统可较大程度降低建筑电网购电量及运行阶段碳排放,虽然生命周期成本会略有增加,但其减碳效果,大于单纯依靠围护结构性能提升的传统做法;尽可能利用建筑空间配置光伏对减少碳排放及生命周期成本都是有利的;通过软件联合模拟可实现建筑围护结构和光储系统的协同优化,且较于各自独立优化,能取得更好的设计方案.