IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v74y2015icp11-17.html
   My bibliography  Save this article

Natural drying effect on active layer for achieving high performance in polymer solar cells

Author

Listed:
  • Hu, Ziyang
  • Zhang, Jianjun
  • Huang, Like
  • Sun, Jingyang
  • Zhang, Ting
  • He, Hongyun
  • Zhang, Jing
  • Zhang, Houcheng
  • Zhu, Yuejin

Abstract

The self-organization of the polymer in solar cells based on regioregular poly(3-hexylthiophene)(RR-P3HT):[6, 6]-phenyl C61-butyric acid methyl ester is studied systematically as a function of the room temperature (RT) (varied from 300 K to 290 K). Optimal self-organized structures within the RR-P3HT:PCBM films are achieved by varying spin speed and time as well as the temperature at which the spin casting process occurs. These blend films are characterized by UV–vis absorption spectroscopy, atomic force microscopy, and X-ray diffraction measurements. The optimum device efficiency can be achieved in naturally dried devices when spin coating within the temperature range 292–294 K. Both the power conversion efficiency (PCE) and fill factor (FF) of the optimum devices show a plateau region, with PCEs exceed 4% and FFs close to 0.70. For RT < 290 K, the corresponding devices show a wide distribution of performance parameters for the unhomogeneous active layer. While for RT > 296 K, the short current density, FF and PCE of the corresponding devices are gradually decreased, suggesting that there is a major change in the ordered structure of the polymer. Based on the results, it is demonstrated that high performance device can be achieved just by natural drying the active layer at RT condition in air condition without further thermal treatments.

Suggested Citation

  • Hu, Ziyang & Zhang, Jianjun & Huang, Like & Sun, Jingyang & Zhang, Ting & He, Hongyun & Zhang, Jing & Zhang, Houcheng & Zhu, Yuejin, 2015. "Natural drying effect on active layer for achieving high performance in polymer solar cells," Renewable Energy, Elsevier, vol. 74(C), pages 11-17.
  • Handle: RePEc:eee:renene:v:74:y:2015:i:c:p:11-17
    DOI: 10.1016/j.renene.2014.07.034
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148114004327
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2014.07.034?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhe Li & Him Cheng Wong & Zhenggang Huang & Hongliang Zhong & Ching Hong Tan & Wing Chung Tsoi & Ji Seon Kim & James R. Durrant & João T. Cabral, 2013. "Performance enhancement of fullerene-based solar cells by light processing," Nature Communications, Nature, vol. 4(1), pages 1-7, October.
    2. Lizin, Sebastien & Leroy, Julie & Delvenne, Catherine & Dijk, Marc & De Schepper, Ellen & Van Passel, Steven, 2013. "A patent landscape analysis for organic photovoltaic solar cells: Identifying the technology's development phase," Renewable Energy, Elsevier, vol. 57(C), pages 5-11.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yasa, Mustafa & Depci, Tolga & Alemdar, Eda & Hacioglu, Serife O. & Cirpan, Ali & Toppare, Levent, 2021. "Non-fullerene organic photovoltaics based on thienopyrroledione comprising random copolymers; effect of alkyl chains," Renewable Energy, Elsevier, vol. 178(C), pages 202-211.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sungho Son & Nam-Wook Cho, 2020. "Technology Fusion Characteristics in the Solar Photovoltaic Industry of South Korea: A Patent Network Analysis Using IPC Co-Occurrence," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    2. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.
    3. Bruns, Stephan B. & Kalthaus, Martin, 2020. "Flexibility in the selection of patent counts: Implications for p-hacking and evidence-based policymaking," Research Policy, Elsevier, vol. 49(1).
    4. Mueller, Simon C. & Sandner, Philipp G. & Welpe, Isabell M., 2015. "Monitoring innovation in electrochemical energy storage technologies: A patent-based approach," Applied Energy, Elsevier, vol. 137(C), pages 537-544.
    5. Wang, Xiaoli & Daim, Tugrul & Huang, Lucheng & Li, Zhiqiang & Shaikh, Ruqia & Kassi, Diby Francois, 2022. "Monitoring the development trend and competition status of high technologies using patent analysis and bibliographic coupling: The case of electronic design automation technology," Technology in Society, Elsevier, vol. 71(C).
    6. Sampaio, Priscila Gonçalves Vasconcelos & González, Mario Orestes Aguirre & de Vasconcelos, Rafael Monteiro & dos Santos, Marllen Aylla Teixeira & de Toledo, José Carlos & Pereira, Jonathan Paulo Pinh, 2018. "Photovoltaic technologies: Mapping from patent analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 215-224.
    7. Benson, Christopher L. & Magee, Christopher L., 2014. "On improvement rates for renewable energy technologies: Solar PV, wind turbines, capacitors, and batteries," Renewable Energy, Elsevier, vol. 68(C), pages 745-751.
    8. Huang, Hung-Chun & Su, Hsin-Ning, 2019. "The innovative fulcrums of technological interdisciplinarity: An analysis of technology fields in patents," Technovation, Elsevier, vol. 84, pages 59-70.
    9. Chang, Shu-Hao & Fan, Chin-Yuan, 2016. "Identification of the technology life cycle of telematics: A patent-based analytical perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 1-10.
    10. Chandra, Praveena & Dong, Andy, 2018. "The relation between knowledge accumulation and technical value in interdisciplinary technologies," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 235-244.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:74:y:2015:i:c:p:11-17. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.