Forestvoltaics,Floatovoltaics and Building Applied Photovoltaics(BAPV)Potential for a University Campus

The United Nations’Sustainable Development Goals(SDGs)highlight the importance of affordable and clean energy sources.Solar energy is a perfect example,being both renewable and abundant.Its popularity shows no signs of slowing down,with solar photovoltaic(PV)panels being the primary technology for converting sunlight into electricity.Advancements are continuously being made to ensure cost-effectiveness,high-performing cells,extended lifespans,and minimal maintenance requirements.This study focuses on identifying suitable locations for implementing solar PVsystems at theUniversityMalaysia PahangAl SultanAbdullah(UMPSA),Pekan campus including buildings,water bodies,and forest areas.A combined technical and economic analysis is conducted using Helioscope for simulations and the Photovoltaic Geographic Information System(PVGIS)for economic considerations.Helioscope simulation examine case studies for PV installations in forested areas,lakes,and buildings.This approach provides comprehensive estimations of solar photovoltaic potential,annual cost savings,electricity costs,and greenhouse gas emission reductions.Based on land coverage percentages,Floatovoltaics have a large solar PV capacity of 32.3 Megawatts(MW);forest-based photovoltaics(Forestvoltaics)achieve maximum yearly savings of RM 37,268,550;and Building Applied Photovoltaics(BAPV)have the lowest CO2 emissions and net carbon dioxide reduction compared to other plant sizes.It also clarifies the purpose of using both software tools to achieve a comprehensive understanding of both technical and economic aspects.

Analysis for Effects of Temperature Rise of PV Modules upon Driving Distance of Vehicle Integrated Photovoltaic Electric Vehicles

The development of vehicle integrated photovoltaics-powered electric vehicles (VIPV-EV) significantly reduces CO2 emissions from the transport sector to realize a decarbonized society. Although long-distance driving of VIPV-EV without electricity charging is expected in sunny regions, driving distance of VIPV-EV is affected by climate conditions such as solar irradiation and temperature rise of PV modules. In this paper, detailed analytical results for effects of climate conditions such as solar irradiation and temperature rise of PV modules upon driving distance of the VIPV-EV were presented by using test data for Toyota Prius and Nissan Van demonstration cars installed with high-efficiency InGaP/GaAs/InGaAs 3-junction solar cell modules with a module efficiency of more than 30%. The temperature rise of some PV modules studied in this study was shown to be expressed by some coefficients related to solar irradiation, wind speed and radiative cooling. The potential of VIPV-EV to be deployed in 10 major cities was also analyzed. Although sunshine cities such as Phoenix show the high reduction ratio of driving range with 17% due to temperature rise of VIPV modules, populous cities such as Tokyo show low reduction ratio of 9%. It was also shown in this paper that the difference between the driving distance of VIPV-EV driving in the morning and the afternoon is due to PV modules’ radiative cooling. In addition, the importance of heat dissipation of PV modules and the development of high-efficiency PV modules with better temperature coefficients was suggested in order to expand driving range of VIPV-EV. The effects of air-conditioner usage and partial shading in addition to the effects of temperature rise of VIPV modules were suggested as the other power losses of VIPV-EV.

Numerical Assessment of the Thermal Efficiency of a Concentrated Photovoltaic/Thermal (CPV/T) Hybrid System Using Air as Heat Transfer Fluid

In this paper, we propose a thermal model of a hybrid photovoltaic/thermal concentration system. Starting from the thermal balance of the model, the equation is solved and simulated with a MATLAB code, considering air as the cooling fluid. This enabled us to evaluate some of the parameters influencing the electrical and thermal performance of this device. The results showed that the temperature, thermal efficiency and electrical efficiency delivered depend on the air mass flow rate. The electrical and thermal efficiencies for different values of air mass flow are encouraging, and demonstrate the benefits of cooling photovoltaic cells. The results show that thermal efficiency decreases air flow rate greater than 0.7 kg/s, whatever the value of the light concentration used. The thermal efficiency of the solar cell increases as the light concentration increases, whatever the air flow rate used. For a concentration equal to 30 sun, the thermal efficiency is 0.16 with an air flow rate equal to 0.005 kg/s;the thermal efficiency increases to 0.19 with an air flow rate equal to 0.1 kg/s at the same concentration. An interesting and useful finding was that the proposed numerical model allows the determination of the electrical as well as thermal efficiency of the hybrid CPV/T with air flow as cooling fluid.

基于TRNSYS的扁平热管PV/T系统性能优化

基于太阳能技术现状分析,将太阳能光伏组件与扁平式热管高效结合,提出新型扁平热管PV/T系统.为实现该系统综合效率最大化,结合TRNSYS仿真,开展试验并进行优化分析.结果表明,安装扁平热管后夏季热水温度从原来的51.1℃升高到57.3℃,提高了12.1%,冬季热水温度从47.6℃升高到55.2℃,提高了15.9%.夏季系统的综合效率提高了4.7%、冬季系统的综合效率提高了4.8%.可以得出结论扁平热管对PV/T空调系统性能的优化效果明显,也为该技术在建筑领域的应用提供了依据.

基于人工神经网络的PV/T热电联供系统性能预测

为研究太阳能PV/T热电联供系统的性能和针对太阳能PV/T系统复杂的能量平衡方程,搭建了太阳能PV/T系统试验台,同时建立了基于改进灰狼优化的BP神经网络(back propagation neural network model based on improved grey wolf algorithm,IGWO-BP)预测模型,在晴朗天气下进行试验,并采用该模型对系统电功率以及蓄热水箱内水温进行预测。结果显示,晴朗日系统的电效率8.7%~12.2%、热效率51.7%;预测结果与BP神经网络预测模型、基于粒子群优化的BP神经网络(back propagation neural network based on particle swarm optimization,PSO-BP)预测模型和卷积神经网络(convolutional neural network,CNN)预测模型预测结果进行比较,结果显示IGWO-BP预测模型电效率预测模型的绝对百分比误差(mean absolute percentage error,MAPE)、决定系数(determination coefficient,R^(2))、均方根误差(root mean square error,RMSE)、效率因子(efficient factor,EF)和Pearson相关系数(pearson related coefficient,r)分别为4.5E-05、0.99、0.24、0.99和1.00,在储热罐温度预测中,上述指标分别为8.90E-04、0.98、0.07、0.98、0.99,均优于其他预测模型,IGWO-BP神经网络预测模型具有更好的预测性能。研究结果可为太阳能PV/T热电联供系统性能预测与优化控制提供参考。

应用PSO-RBF神经网络预测太阳能PV/T系统的热、电性能

为准确预测太阳能光伏光热(Solar Photovoltaic/Thermal,PV/T)系统的热、电性能,文章利用PSO(Particle Swarm Optimization)算法优化了RBF(Radial Basis Function)神经网络,并基于此方法建立了太阳能PV/T系统性能的仿真预测模型,与基于未优化RBF神经网络建立的预测模型进行了对比分析。同时,搭建了太阳能PV/T实验平台,通过云平台采集实验数据用于上述模型。研究结果表明:使用PSO算法优化后的RBF神经网络模型相较于未优化模型预测精度提高了20%,预测稳定性提高了30%,拟合优度R值有所提升。基于PSO-RBF神经网络建立的预测模型可精确预测太阳能PV/T系统的热、电性能。

太阳能PV/T+相变能与直蒸式水源热泵供热(冷)系统特性分析

为解决河北农村建筑清洁供暖问题和太阳能利用具有不稳定性问题,设计了太阳能PV/T+相变能与直蒸式水源热泵供热(冷)系统进行实验研究。实验结果表明,冬季典型日系统发电量为4.453kWh,制热系数COP平均值3.41;夏季典型日系统发电量为5.945kWh,制冷系数EER平均值3.2;将发电量用于系统运行,制热系数COP为4.22,制冷系数EER为4.19,分别提高了23.75%和30.12%;夏季单纯PV/T太阳能电池发电量5.537kWh,本系统的发电量提高了7.37%。该系统经济效益高,运行稳定,是一种实现河北农村清洁供暖有效途径。

Real-Time Performance Assessment of Operating Photovoltaic (PV) Systems

A technology called solar energy is a very promising technique, and is considered as the cleanest and the most abundant renewable resource that is naturally available every day. In this paper, a MATLAB environment has been developed to calculate real-time power incidence on a PV system. It takes into account the time, location, PV tilt, and azimuth angles, and weather conditions to estimate incident power. In this paper, one case study is considered at New York State location. It has been applied to a newly installed 8 kW residential system located in Inwood. The solar panels are made up of silicon HIT (Heterojunction with Intrinsic Thin Layer) cells by Panasonic and solar cell rated at 19%. The result shows that the system is performing at its rated efficiency. The calculations involve the determination of direct, diffused and reflected radiation on the panels taking into account the time of the day, location, PV area, and orientations and weather conditions. The cloudiness index may be estimated based on the weather data and included in the calculations. After performing the irradiance calculations, the output power is estimated based on the rated efficiency at its temperature and compared with the generated output power. The real-time assessment of a PV system performance, during the operational time monitors the health of the PV system. The data obtained by this calculator may accompany production data provided to the consumer by the utility company.

Design, Thermodynamic Performance Comparison and Cost Analysis of Photovoltaic (PV), Concentrated Solar Power (CSP), Wind Turbine, Natural Gas Combined Cycle (NGCC), and Integrated Solar Combined Cycle (ISCC) Power Plants

This paper evaluates and discusses ways to use five energy resources more efficiently for generating electric power. An analysis of five different 10 MW powerplants was made: a photovoltaic system, a concentrated solar power system, wind turbines, a natural gas combined cycle and an integrated solar combined cycle. Also, each power plant’s operating principle, thermodynamic analysis, economic analysis, and simulation evaluation were made using the System Advisor Model (SAM), Engineering Equation Solver (EES), and the Thermoflow Power Plant Simulation program. From the analysis, the power plant capacity factor, grid availability, levelized cost of electricity, and annual energy production are compared and analyzed to determine a suitable power plant for a given location.

太阳能光伏光热PV/T组件在建筑设计中的应用

建筑领域“双碳”目标的提出,使得降低建筑能耗成为目前亟需解决的问题。可再生能源同建筑领域的有机结合被认为是解决建筑能耗的重要环节。通过对太阳能光伏光热技术的发展进行总结,研究太阳能光伏光热技术在建筑领域中的设计方法,提出了对未来光伏光热建筑一体化的设计思考,为以后太阳能光伏光热PV/T技术产业的发展提供参考。

Performance Assessment of a Real PV System Connected to a Low-Voltage Grid

The generation of photovoltaic(PV)solar energy is increasing continuously because it is renewable,unlimited,and clean energy.In the past,generation systems depended on non-renewable sources such as oil,coal,and gas.Therefore,this paper assesses the performance of a 51 kW PV solar power plant connected to a low-voltage grid to feed an administrative building in the 6th of October City,Egypt.The performance analysis of the considered grid-connected PV system is carried out using power system simulator for Engineering(PSS/E)software.Where the PSS/E program,monitors and uses the power analyzer that displays the parameters and measures some parameters such as current,voltage,total power,power factor,frequency,and current and voltage harmonics,the used inverter from the type of grid inverter for the considered system.The results conclude that when the maximum solar radiation is reached,the maximum current can be obtained from the solar panels,thus obtaining the maximum power and power factor.Decreasing total voltage harmonic distortion,a current harmonic distortion within permissible limits using active harmonic distortion because this type is fast in processing up to 300 microseconds.The connection between solar stations and the national grid makes the system more efficient.

基于PV/T的双源热泵热水系统的实验研究

为提高热泵热水循环的效率,构建基于光伏/光热一体化(PV/T)的双源热泵热水系统,选取全年中4个典型日,测试系统的可靠性、热泵运行性能以及PV/T运行特性。结果表明:系统的电源和热源可稳定使用;4个典型工况中,环境温度为27.3℃、太阳辐照度为975.6 W/m^(2)时热泵运行性能最优,制热系数(COPh)达到6.2,PV/T性能最优,平均光电转换效率相对于传统光伏组件高6.6%,总发电量比传统光伏组件高0.11 kWh。

Impact of Climatic Parameters on the Performance of Solar Photovoltaic (PV) Module in Niamey

The sensitivity of mono-crystalline solar PV module towards dust accumulation, ambient temperature, relative humidity, and cloud cover is investigated from May to August 2015 for Niamey’s environment. Two solar modules with the same characteristics have been used to carry out the impacts of the dust on the solar PV module. One of the modules is being cleaned every morning and the second one was used for monitoring the effect of dust accumulation onto the surface of the unclean module for May and June. The ambient temperature around the solar PV module was recorded at the same time with the output voltage and the output current to assess the impacts of ambient temperature on the PV conversion efficiency. In addition to these field test measurements, the solar radiation data measured in National Center of Solar Energy (CNES) of Niamey were also used. Also the relative humidity for the study area data obtained NASA power agro-climatology website was used. Results show that the dust accumulation has the greatest impact on the performance of the PV module followed by temperature, relative humidity and cloud cover. Exposing the module in 23 days has reduced the energy output by 15.29%. The power output and the conversion efficiency of the PV module have dropped by 2.6% and 0.49% respectively. The relative humidity also has reduced the energy output by 4.3 Wh/m2/day.

Synergetic optimization operation method for distribution network based on SOP and PV

The integration of distributed generation brings in new challenges for the operation of distribution networks,including out-of-limit voltage and power flow control.Soft open points(SOP)are new power electronic devices that can flexibly control active and reactive power flows.With the exception of active power output,photovoltaic(PV)devices can provide reactive power compensation through an inverter.Thus,a synergetic optimization operation method for SOP and PV in a distribution network is proposed.A synergetic optimization model was developed.The voltage deviation,network loss,and ratio of photovoltaic abandonment were selected as the objective functions.The PV model was improved by considering the three reactive power output modes of the PV inverter.Both the load fluctuation and loss of the SOP were considered.Three multi-objective optimization algorithms were used,and a compromise optimal solution was calculated.Case studies were conducted using an IEEE 33-node system.The simulation results indicated that the SOP and PVs complemented each other in terms of active power transmission and reactive power compensation.Synergetic optimization improves power control capability and flexibility,providing better power quality and PV consumption rate.

Modeling of Residential Photovoltaic (PV) System Connected to Low Voltage (LV) Network: Application to Public Distribution Network of Burkina Faso

Residential photovoltaic (PV) systems connected to the grid are used for self-consumption. Any surplus production is fed into the grid and contributes to improving the voltage. Several techniques are developed to model their connection. However, studies on methods of injecting energy production into the Low Voltage (LV) network are nowadays a problem. This paper proposes a mathematical model to determine the current to be injected and calculate each node’s voltage. The current equation is a recurrence relation with an initial condition. This initial condition is for the case of a single PV system connected to the LV grid. The equation can also be written in matrix form. Similarly, the voltage solution is a recurrence relation. It also has an initial condition for the first node. Both mathematical formulae with the proposed initial conditions are consistent and can be used for the determination of the current and voltage of the different nodes in the grid.

PV/T耦合水环热泵系统全年运行性能分析

为研究裸板型PV/T组件与水环热泵耦合系统的电热联供性能,本文基于天津某办公楼的零碳化改造项目,搭建了PV/T耦合水箱、水环热泵,通过温差控制,实现PV/T集散热独立循环,耦合热泵制热和制冷,以满足建筑多种用能需求的低碳能源系统。测试分析了冬季典型日、夏季典型日,PV、PV/T和水箱内的温度变化特性,PV/T、PV系统的发电功率、发电效率、PV/T的集热效率以及综合效率,比较了PV/T系统和PV系统的性能。结果显示,在冬季典型日,PV/T组件与PV组件的平均温差达16.1℃,PV/T发电效率较PV提高了2.2%,PV/T集热效率为42.2%,综合效率为52.6%,系统平均性能系数为6.06;在夏季典型日,PV/T发电效率较PV提高了3.8%,PV/T集热效率为59.1%,综合效率最高为73.6%,系统平均性能系数为6.86。研究表明,PV/T耦合水环热泵系统全年较PV发电效率可提高2%以上,集热效率>40%,系统平均性能系数>6.0,具有较强的节能减排特点。

“双碳”背景下BIPV的应用与探索

“双碳”目标提出后,中国的绿色经济发展有了更加明确的方向。城镇化率不断增长的同时,中国的建筑业进入了鼎盛发展时期;但与此同时出现的建筑能耗问题也越来越严重,这种发展形式与“双碳”目标背道而驰。而光伏发电技术与建筑相结合成为解决这一问题的有效方式,光伏建筑一体化(BIPV)产业的发展是实现“双碳”目标的重要途径。针对当前BIPV产业的发展状况及发展优势进行了分析,并分析了影响BIPV建筑发电量的因素,然后从技术、法律法规、市场3个方面提出了优化举措。分析结果显示:光伏组件方位角及安装倾角、光伏组件表面灰尘及其安装方式是制约BIPV建筑发电量的主要因素,BIPV后续发展需要从技术方面进行改进以确保年发电量达到预期目标;BIPV产业应从技术、法律法规及市场3个方面进行改进和完善,有助于其更好的发展。该研究结果对BIPV理论研究和工程人员施工设计具有一定的参考价值。

PV/T耦合热泵系统运行特性分析

基于PV/T-热泵供生活热水系统、地源-空气源热泵供暖系统构建了PV/T耦合热泵系统,并以郑州地区某栋3层公共建筑为研究对象,通过对比PV/T耦合热泵系统与PV/T-热泵供生活热水系统和地源-空气源热泵供暖系统在PV/T组件表面温度与发电效率、集热量、土壤温度变化及地源热泵季节能效比等方面的性能,对PV/T耦合热泵系统进行了效果验证。分析结果显示:1)在供暖季PV/T组件发电期间,相较于PV/T-热泵供生活热水系统,PV/T耦合热泵系统的PV/T组件日均表面温度平均值降低了7.38℃;在非供暖季PV/T组件发电期间,相较于PV/T-热泵供生活热水系统,PV/T耦合热泵系统的PV/T组件日均表面温度平均值降低了26.49℃。说明PV/T耦合热泵系统可有效降低PV/T组件的表面温度。2)在供暖季和非供暖季PV/T组件发电期间,相较于PV/T-热泵供生活热水系统,PV/T耦合热泵系统的日均发电效率平均值分别提升了2.72%和9.24%;在供暖季和非供暖季,相较于PV/T-热泵供生活热水系统,PV/T耦合热泵系统的集热效率分别提升了19.96%和74.65%。3)在PV/T组件面积为90 m^(2)的情况下,随着系统运行年限的增加,PV/T耦合热泵系统和地源-空气源热泵供暖系统的土壤温度均整体呈下降趋势。在PV/T组件面积为180 m^(2)的情况下,当采用PV/T耦合热泵系统时,20年内土壤温度以每年0.14℃的速率上升;相较于地源-空气源热泵供暖系统,PV/T耦合热泵系统的地源热泵季节能效比提升了13.44%。

PV/T+相变能耦合水源热泵供暖与发电系统设计

PV/T供暖系统存在不稳定性和间歇性,不利于进行全天候稳定供暖。针对上述问题,在某宿舍楼供暖设计中采用了PV/T+相变能耦合水源热泵供暖与发电系统。系统白天利用PV/T板发电与取热,产生的一部分热量进入水源热泵机组供暖、另一部分热量进入储能水箱的换热盘管融冰,夜间利用水源热泵机组吸收水冰相变释放的大量潜热进行供暖,解决了太阳能不能全天候供暖问题。供暖所用的一部分热能与电能来源于太阳能,降低了冬季供暖能耗,实现了建筑节能。系统每年产生经济效益13.86万元,每年CO_(2)减排量286.83 t,S0_(2)、粉尘减排量2.21 t,系统经济效益和环保效益显著。

一种低碳太阳能PV/T溶液除湿空调新风系统设计与性能分析

为了解决溶液除湿空调系统溶液再生过程能耗高的问题,提出了一种新型低碳太阳能溶液除湿空调新风系统,将PV/T太阳能光伏/光热与空气源热泵结合作为驱动能源,采用间接蒸发冷却内冷型溶液除湿器对空调新风冷却除湿,并给出了系统中主要设备的设计选型和计算方法,最后以寒冷地区的某一公共建筑为例,进行系统设计、设备选型和系统性能模拟计算分析。结果表明,在空调新风风量为150 m^(3)/h时,系统除湿量为0.360 g/s,除湿效率为44.70%,再生量为0.360 g/s,再生效率为35.00%。设计工况下,PV/T太阳能光伏/光热系统在运行一天共产生电量4.1 kW,产生热量21.8 kW,而系统所需电量为3.5 kW,所需热量为21.2 kW,系统产能量能够覆盖系统用能量,能够实现能源供应自给自足和零碳排放。研究结果可为太阳能PV/T溶液除湿空调的设计提供参考。