Collaborative Research: Optimal Design and Operation of Dye Sensitized Solar Cells Using an Integrated Strategy Involving First-Principles Modeling, Synthesis, and Characterization

合作研究：采用涉及第一性原理建模、合成和表征的综合策略优化染料敏化太阳能电池的设计和运行

基本信息

批准号：
1236180
负责人：
Masoud Soroush
金额：
$ 26.07万
依托单位：
Drexel University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2012
资助国家：
美国
起止时间：
2012-08-01 至 2017-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1236180&HistoricalAwards=false
关键词：
Collaborative Research Optimal Design Operation

项目摘要

PI: Soroush, Masoud / Lee, DaeyeonProposal Number: 1236180 / 1234993Institution: Drexel University / University of PennsylvaniaTitle: Collaborative Research: Optimal Design and Operation of Dye Sensitized Solar Cells Using an Integrated Strategy Involving First-Principles Modeling, Synthesis, and CharacterizationThis project employs an integrated research strategy involving first principles mathematical modeling and simulation, synthesis and characterization to design solid-state dye sensitized solar cells (DSSCs) with optimal performance, and optimally operate and integrate the cells. Current DSSC technology faces limitations from significant photogenerated charge recombination losses at the photoanode-electrolyte interface. Central to this research is the hypothesis that higher power conversion efficiencies will be obtained by reducing major losses in electrical conduction within the photoanode and electrolyte of the cell. A holistic approach will be taken where a first principles solid-state DSSC mathematical model will provide a detailed understanding of charge transport behavior, which will then efficiently guide the design and fabrication of effective photoanodes and electrolytes that mitigate recombination losses. This approach is expected to lead to design of new energy materials, fabrication of optimized next generation DSSCs with significantly higher solar cell efficiency above current state-of-the-art, and optimal operation and integration of the cells. The ultimate goal of this project is to design and test a highly-efficient DSSC array through model-based optimal design, integration and operation. The proposed study will be conducted using the integrated research strategy. The specific goals of this project are: (a) Develop a detailed macroscopic first principles mathematical model of solid-state DSSCs. (b) Using the developed predictive model, search the DSSC design parameter space systematically to arrive at an optimal design of DSSCs. (c) Investigate the effect of electrophoretic deposition parameters on the structure and composition of TiO2-carbon nanotube (CNT) composites. (d) Study initiated chemical vapor deposition (iCVD) synthesis and processing conditions on pore filling and resulting polymer structure and properties. (e) Fabricate and characterize DSSCs integrating iCVD polymer electrolytes and hole conductors. (f) Fabricate and characterize solid-state DSSCs incorporating TiO2/CNT photoanodes and iCVD polymer electrolytes and hole conductors.The proposed project is expected to benefit society as a whole as we gain a predictive model for creating enhanced energy materials as well as the necessary components for significantly increasing DSSC efficiency above the current ~11% which has been the record for the past 15 years, and approach the theoretical limit of ~30%. In addition, the fundamental knowledge of model and materials development has practical applications in other energy devices such as in fuel cells, supercapacitors and batteries. The ability to create viable, lighter and less expensive polymer and organic based solar cells is expected to establish a strong intellectual property position for replacing silicon technology, and open the door to flexible photovoltaics. The PIs and Co-PI will train and mentor one pre-doctoral and one Master?s research assistants as well as six undergraduate (REU) and several local high school students. The students will participate in broad range of research activities from mathematical modeling to synthesis, processing and characterization. The PIs also plan to be actively involved in various outreach scientific and technological events and activities in the Philadelphia area. The project results will be released to the public at conferences and in journal and conference proceedings papers.

PI：Soroush，Masoud / Lee，DaeyeonPropopasal编号：1236180 / 1234993INSTITIOTIT一种涉及第一原理的综合研究策略数学建模和模拟，合成和表征，以最佳性能设计固态染料敏化太阳能电池（DSSC），并最佳地操作和整合细胞。当前的DSSC技术面临着光阳极 - 电解质界面处的显着光生电荷重组损失的局限性。这项研究的核心是假设，即通过降低细胞光阳极和电解质内电传导的重大损失，将获得更高的功率转换效率。将采取一种整体方法，即第一原理固态DSSC数学模型将对电荷运输行为提供详细的理解，然后将有效地指导有效的光轴台和电解质的设计和制造，以减轻重组损失。预计这种方法将导致设计新的能源材料，制造优化的下一代DSSC，其太阳能电池效率明显高于当前最新的效率，以及细胞的最佳操作和整合。该项目的最终目标是通过基于模型的最佳设计，集成和操作来设计和测试高效的DSSC数组。拟议的研究将使用综合研究策略进行。该项目的具体目标是：（a）开发固态DSSC的详细宏观第一原理数学模型。（b）使用开发的预测模型，系统地搜索DSSC设计参数空间，以达到DSSC的最佳设计。（c）研究电泳沉积参数对TIO2-碳纳米管（CNT）复合材料的结构和组成的影响。（d）研究引发化学蒸气沉积（ICVD）的合成和处理条件，并在孔隙填充和产生的聚合物结构和特性上进行了处理。（e）制造和表征DSSC集成ICVD聚合物电解质和孔导体。（f）制造和表征结合TiO2/cnt光轴和ICVD聚合物电解质和孔电导器的固态DSSC。预计拟议的项目有望使社会有益于整个社会显着提高DSSC效率以上的组件超过了当前〜11％，这是过去15年的记录，并且接近〜30％的理论限制。此外，模型和材料开发的基本知识在燃料电池，超级电容器和电池等其他能源设备中具有实际应用。预计创造可行，更轻巧和价格较低的聚合物和有机太阳能电池的能力有望建立强大的知识产权，以取代硅技术，并为灵活的光伏电动机打开大门。 PIS和CO-PI将培训和指导一名前博士学位，一名大师研究助理以及六个本科（REU）和几位当地高中生。学生将参加从数学建模到综合，处理和表征的广泛研究活动。 PI还计划积极参与费城地区的各种外展科学和技术事件和活动。该项目结果将在会议以及期刊和会议论文文件中向公众发布。