Cell Reports Physical Science ( IF 8.9 ) Pub Date : 2020-07-08 , DOI: 10.1016/j.xcrp.2020.100108 Chen Wang , Shuangcheng Yu , Xiaoru Guo , Tucker Kearney , Peijun Guo , Robert Chang , Junhong Chen , Wei Chen , Cheng Sun
Windows play a crucial role in regulating solar energy exchange with a building, while supporting many essential functions, including natural daylighting, ventilation, and visual contact with the outside. These distinct functions often make complex and sometimes conflicting demands of solar energy. Here, we report a multicriteria Pareto optimization approach to obtain optimal balance of the energy-harvesting and energy-regulating functions for a smart window device. The optimal design is validated experimentally using a nanofabricated prototyping smart window device, which comprises a semi-transparent perovskite solar cell and an aperiodic multilayer nanophotonic coating. Based on experimental characterization of the prototype, calculations using EnergyPlus project an annual energy savings of 13,560 kWh or 187% over a chromogenic smart window for a 2,000-ft2 single-story residential building located in Phoenix, Arizona. The reported multicriteria optimization and the nanophotonic device architecture offer promising solutions for the efficient utilization of solar energy.
中文翻译:
通过多准则帕累托优化能量收集和调节智能窗户,最大限度地利用太阳能
窗户在调节与建筑物的太阳能交换方面起着至关重要的作用,同时还支持许多基本功能,包括自然采光,通风和与外界的视觉接触。这些独特的功能通常使太阳能的需求变得复杂,有时甚至相互矛盾。在这里,我们报告了一种多准则Pareto优化方法,以获得智能窗户设备的能量收集和能量调节功能的最佳平衡。最佳设计通过使用纳米制造的原型智能窗户装置进行实验验证,该装置包括半透明的钙钛矿太阳能电池和非周期性多层纳米光子涂层。根据原型的实验特征,使用EnergyPlus进行的计算预计每年可节省能源13,位于亚利桑那州凤凰城的2个单层住宅楼。报道的多标准优化和纳米光子器件架构为有效利用太阳能提供了有希望的解决方案。