The selection of key technologies by the silicon photovoltaic industry based on the Delphi method and AHP (analytic hierarchy process): Case study of China

Crystalline silicon solar cells play a leading role in the photovoltaic market. In order to select the key technologies related to silicon solar cells for the next 5–10 years, a Delphi-AHP (analytic hierarchy process) framework is presented to analyze the potential space for each technology in the solar cell industrial chain. China's silicon photovoltaic industry has been determined as the main research subject. The framework consists of three steps. First, the Delphi method is applied and a technologies list consisting of 43 techniques are determined. In the second step, an analytical hierarchy process model has been conducted and the expert Delphi method has been used to obtain weighted list of values for each technology with the input of over 300 expert questionnaires. In the last step, statistical research is carried out and the ascension interval of the cost, efficiency and energy consumption in the near future is given. Fifteen top key technologies including seven related to the fabrication of cells have been selected, and it was found that the technologies with great potential for cost and energy consumption are mainly distributed at the front-end of the industrial chain, while key technologies for improving efficiency are mainly concentrated at the back-end.

[1]  Antonio Luque,et al.  Acceptable contamination levels in solar grade silicon: From feedstock to solar cell , 2009 .

[2]  David D. Smith,et al.  Generation 3: Improved performance at lower cost , 2010, 2010 35th IEEE Photovoltaic Specialists Conference.

[3]  Chih-Min Chuang,et al.  High-performance ITO-free spray-processed polymer solar cells with incorporating ink-jet printed grid , 2013 .

[4]  Mincheol Kim,et al.  Application of Delphi-AHP methods to select the priorities of WEEE for recycling in a waste management decision-making tool. , 2013, Journal of environmental management.

[5]  Bryan Hubbard,et al.  The emergence of the solar photovoltaic power industry in China , 2013 .

[6]  K. Shum,et al.  An innovation management approach for renewable energy deployment--the case of solar photovoltaic (PV) technology , 2009 .

[7]  R. Brendel,et al.  Low‐temperature formation of local Al contacts to a‐Si:H‐passivated Si wafers , 2004 .

[8]  Zhengrong Shi,et al.  Rear passivation of commercial multi-crystalline PERC solar cell by PECVD Al2O3 , 2014 .

[9]  M. C. Melaaen,et al.  Chemical vapor deposition of silicon from silane: Review of growth mechanisms and modeling/scaleup of fluidized bed reactors , 2012 .

[10]  Ronn Andriessen,et al.  Evaluation of ink-jet printed current collecting grids and busbars for ITO-free organic solar cells , 2012 .

[11]  周涛 Zhou Tao,et al.  Crystalline Silicon Solar-Cell Development Status and Trends , 2013 .

[12]  Shiu-Wan Hung,et al.  The selection of technology for late-starters: A case study of the energy-smart photovoltaic industry , 2013 .

[13]  Reinhard Uecker,et al.  The historical development of the Czochralski method , 2014 .

[14]  Sindy Würzner,et al.  Growth optimization of multicrystalline silicon , 2011 .

[15]  Noritaka Usami,et al.  Directional growth method to obtain high quality polycrystalline silicon from its melt , 2006 .

[16]  Tsutomu Kaneko,et al.  Thin film growth of silicon cardide from methyl-trichloro-silane by RF plasma-enhanced CVD , 1997 .

[17]  Furkan Dincer,et al.  A review of the factors affecting operation and efficiency of photovoltaic based electricity generation systems , 2011 .

[18]  Lian Yuqiong Research on Industry Technology Roadmap and Solar Energy Photovoltaic Industry Development Application:Taking Baoding as an Example , 2010 .

[19]  Gerhard Willeke,et al.  Thin crystalline silicon solar cells , 2002 .

[20]  K. Ramspeck,et al.  Industrial high performance crystalline silicon solar cells and modules based on rear surface passivation technology , 2014 .

[21]  Gorazd Štumberger,et al.  A novel prediction algorithm for solar angles using solar radiation and Differential Evolution for dual-axis sun tracking purposes , 2011 .

[22]  L. Chaar,et al.  Review of photovoltaic technologies , 2011 .

[23]  K. M. Tsang,et al.  State of health detection for Lithium ion batteries in photovoltaic system , 2013 .

[24]  R. P. Mohanty,et al.  Advanced manufacturing technology selection:A strategic model for learning and evaluation , 1998 .

[25]  H. Davoudpour,et al.  Developing a framework for renewable technology portfolio selection: A case study at a R&D center , 2012 .

[26]  Pedro Rosales,et al.  A comparative study of wet and dry texturing processes of c-Si wafers for the fabrication of solar cells , 2014 .

[27]  Michele Rosano,et al.  A decision support system for sustainable energy supply combining multi-objective and multi-attribute analysis: An Australian case study , 2014, Decis. Support Syst..

[28]  Ajeet Rohatgi,et al.  High-Throughput Ion-Implantation for Low-Cost High-Efficiency Silicon Solar Cells , 2012 .

[29]  T. Daim,et al.  Selection of Renewable Energy Technologies for a Developing County: A Case of Pakistan , 2011 .

[30]  A. Jäger-Waldau,et al.  Overview of the Global PV Industry , 2021, Reference Module in Earth Systems and Environmental Sciences.

[31]  Ravi Shankar,et al.  A Delphi-AHP-TOPSIS based benchmarking framework for performance improvement of a cold chain , 2011, Expert Syst. Appl..

[32]  Martin Syvertsen,et al.  Growth and characterization of multicrystalline silicon ingots by directional solidification for solar cell applications , 2011 .

[33]  Sergio Pizzini,et al.  Towards solar grade silicon: Challenges and benefits for low cost photovoltaics , 2010 .

[34]  Valentin D. Mihailetchi,et al.  Results on n-type IBC solar cells using industrial optimized techniques in the fabrication processing , 2011 .

[35]  Antonio Luque,et al.  Handbook of photovoltaic science and engineering , 2011 .

[36]  S. R. Williams,et al.  Influences on the energy delivery of thin film photovoltaic modules , 2013 .