成果報告書詳細
管理番号20130000000556
タイトル*平成24年度中間年報 太陽エネルギー技術研究開発 太陽光発電システム次世代高性能技術の開発 三層協調界面構築による高効率・低コスト・量産型色素増感太陽電池の研究開発(高効率・高耐久性電解質材料の研究開発)
公開日2015/4/25
報告書年度2012 - 2012
委託先名メルク株式会社
プロジェクト番号P07015
部署名新エネルギー部
和文要約
英文要約Title: Research and development of high-efficiency and low-cost dye-sensitized solar cells and their mass production technologies based on the three phase-harmonized interface (FY2010-2014) FY2012 Annual Report
Part 1. Durable electrolyte based on Co complex redox couple.
Whilst conventional electrolyte for dye-sensitised electrolyte (DSSC) employs iodine based electrolyte, there have been quite a few reports that illustrate other redox couple like Cobalt complex can be also employed. Our own measurement showed 8.2% power conversion efficiency. On the other hand, there have been no report concerning the durability of Co-based DSSC electrolyte. That motivated us to look into heat stress test at 85 degrees Centigrade specified by JIS B1. Test cells were fabricated using AIST organic dye and Sumitomo Osaka Cement TiO2 paste and measured under 1Sun AM1.5. We have shown that by modifying electrolyte materials and composition, it is possible to lengthen cell lifetime. Large difference in fill factor observed over the time course indicated increased series resistancemost likely due to degraded substances. We have also compared the outcome with iodine based electrolyte with identical solvent and other components and demonstrated that Co-based DSSC can be more durable than iodide based DSSC.
Part 2. Ionic liquid based electrolyte.
We have been focusing on ionic liquid based electrolyte in order to pursue high durability and low module processing cost at the same time. On the other hand, combination of large number of possible cations and anions makes enormous number of possibilities, making it virtually impossible to screen. Therefore, we have set up a computational chemistry system that predicts properties of electrolyte from electronic structure of compounds taking into account electronic interaction between compounds with COSMO-RS method. Thus obtained big data were analysed with Design for Sixsigma methodologies for efficient optimization. Here is an example; hydrophilicity of various electrolyte mixtures that is related to a degradation mechanism of DSSC.
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