半透明光伏窗动态热工性能及参数计算模型研究

半透明光伏窗具有良好的综合节能性能，是实现零能耗建筑的有效途径之一。然而，其热工性能受到太阳辐射光谱和光伏窗发电状态等因素的综合影响，导致难以准确计算其热工参数且很难评估其对建筑热环境的影响。本项目拟开展半透明光伏窗动态热工性能的理论和实验研究。基于能量守恒定律和光电转化理论，分析太阳辐射光谱和光伏窗发电状态对半透明光伏窗热工性能的影响机理；以太阳辐射、大气质量、光伏组件温度、负载电压等多因素为变量建立动态热工参数计算模型并推导半透明光伏窗热工参数；在动态热工参数计算模型基础上，通过协同模拟方法实现对半透明光伏窗动态热工性能的准确模拟；基于半透明光伏窗热性能协同模拟模型，分析半透明光伏窗对建筑能耗和热环境的影响，评估其在不同气候区的适用性，并提出优化设计方法来提高其节能性能。本项目的开展将为半透明光伏窗动态热工性能评估提供理论方法，并为半透明光伏窗的优化设计和性能提高提供理论依据和指导。

The semi-transparent photovoltaic (STPV) window has great overall energy benefits, making it one of the effective technologies to realize zero energy consumption building. As the thermal performance of the STPV window is affected by multiple factors, such as solar radiation spectrum and PV window working status, it is hard to calculate the thermal parameters and evaluate its impacts on the building thermal environment. Therefore, this project will conduct mechanism and experimental research on the dynamic thermal performance of the STPV window. Based on the energy conservation law and photoelectric conversion theory, it would analyze the impact of solar radiation spectrum and PV window working status on the thermal performance of the STPV window. Then, a dynamic thermal parameter model of the STPV window will be developed using solar radiation, air mass, PV temperature and load voltage as variables. The equations would be solved to calculate the dynamic thermal characteristics. Based on the above model, accurate predication of dynamic thermal performance of the STPV window will be achieved through collaborative simulation. Finally, with the collaborative simulation model of the STPV window thermal performance, the impacts of the STPV window on the building energy consumption and thermal environment can be assessed. Besides, the applicability of the STPV window under different climate zones will be analyzed, and the optimized design methods will be developed to improve the energy performance of the STPV window. In a word, this project will provide accurate methods to evaluate the dynamic thermal performance of the STPV window, and therefore provide theoretical foundation and guidance for optimizing design and improving the overall energy performance of the STPV window.