A Detailed Optimisation of Solar Photovoltaic/Thermal Systems and its Application.
A Detailed Optimisation of Solar Photovoltaic/Thermal Systems and its Application.
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太阳能光伏/热系统的详细优化及其应用。
DOI：
10.1016/j.egypro.2019.01.295
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Antony A
中科院分区：
文献类型：
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作者：
Antony A
已有各种研究和实验结果分析了PVT的工作行为，其中大部分是在稳态或准稳态下进行的。可以控制可变因素来优化PVT输出，例如质量流量、一天内通过跟踪或入射角度落在PVT上的辐射以及取决于所选PVT系统设计的固定因素以及位置参数，例如环境温度、风速、使用的传送液、结构差异、填料密度、额定工作温度、停滞温度、填充系数、每层的厚度、位置和纬度以及散热系数(竖琴或蛇形设计)。这项研究的目的是验证和预测PVT系统的动态行为，同时准确描述在各种天气约束下任何时间点造成效率损失的因素。这里考虑了一个商业系统(Solar Angel PVT系统)，并对其进行了全年的模拟。该系统在MatLab中建模，采用隐式RK-4方法求解。研究问题旨在为评估光伏-T性能的标准测试协议奠定基础，跨越各种差异。它还通过提供证据数据分析(太阳辐照度、热量和电力、环境温度、运行温度、流速和储热容量)来分析PV/T技术的长期动态性能，同时完成对不同天气条件下同等PV的PVT行为的评估。与标称温度和滞止温度相比，流量、散热系数和位置对PV/T的热行为的影响更大。
There have been various studies and experimental results analysing the operational behaviour of PVT, most of which has been done at steady state or quasi-state. Variable factors can be controlled to optimise the PVT output such as mass flow rate, irradiation falling on the PVT through tracking or incidence angles in a day and fixed factors that depend on the design of the chosen PVT system as well as location parameters such as ambient temperature, wind speed, Transport Fluid used, Difference in Structure, Packing Density, Nominal operating temperature, stagnation temperatures, Fill Factor, Thickness of each layer, Location and Latitude and Heat removal factor (harp or serpentine design). The aim of this research is to validate and predict the dynamic behaviour of PVT systems while accurately describing the factor responsible for the loss of efficiency at any point in time under various weather constraints. A commercial system was considered (Solar Angel PVT system) here and is simulated for an entire year. The system was modelled in MATLAB and solved in implicit RK-4 method. The research question finds out to establish the basis for a standard testing protocol for assessing PV-T performance throughout various differences. It also analyses the long-term dynamic performance of PV/T technology by providing evidential data analysis (solar irradiance, heat and electricity, ambient temperature, operational temperatures, flow rates and thermal storage capacity) while completing an assessment of PVT behaviour with respect to an equivalent PV under different weather conditions. The flow rates, heat removal factor and the location affect the thermal behaviour of the PV/T to a greater extent than nominal temperatures and stagnation temperatures.