Wind energy generation technological paradigm diffusion

This paper investigates the role of the technological paradigm for the development of wind energy technology, and aims to contribute towards recommendations on technology policy and management. The paradigmatic research was conducted using a novel data analysis system (DAS) and a wind energy generation technological diffusion mathematical model. The wind energy generation technological paradigm (WEGTP) composed of paradigm competition, diffusion and shift was established to explain the technological changes in the use of wind energy. Simulation results show that the development of installed capacity for wind energy generation has a strong inertia force along with the S-curve. Global annual installed wind capacity reached a peak in 2012 and is estimated to be saturated by 2030. Hybrid wind and solar energy generation technology appeared to be more promising than wind energy technologies that rely only on onshore or offshore winds. To further accelerate wind energy development, specific subsidies and incentives need to be provided in areas such as capital costs and technological support.

[1]  Zhou Wei,et al.  Optimal design and techno-economic analysis of a hybrid solar–wind power generation system , 2009 .

[2]  Giovanni Dosi,et al.  Technological paradigms, patterns of learning and development: An introductory roadmap , 1995 .

[3]  Sally M. Benson,et al.  The energetic implications of curtailing versus storing solar- and wind-generated electricity , 2013 .

[4]  Wilfred Dolfsma,et al.  Technology-push, demand-pull and the shaping of technological paradigms - Patterns in the development of computing technology , 2002 .

[5]  P. Gipe,et al.  Wind energy basics , 2009 .

[6]  Rui Baptista,et al.  Do innovations diffuse faster within geographical clusters , 2000 .

[7]  Stephen Davies,et al.  The patterns of induced diffusion: Evidence from the international diffusion of wind energy , 2011 .

[8]  Igor Mladenović,et al.  THE CONCEPT OF TECHNOLOGICAL PARADIGM AND THE CYCLICAL MOVEMENTS OF THE ECONOMY , 2012 .

[9]  G. L. Johnson,et al.  Wind energy systems , 1985 .

[10]  Uma Kumar,et al.  Technological innovation diffusion: the proliferation of substitution models and easing the user's dilemma , 1992 .

[11]  Jiuping Xu,et al.  Feedstock for Bioethanol Production from a Technological Paradigm Perspective , 2015 .

[12]  N. Meade,et al.  Modelling and forecasting the diffusion of innovation – A 25-year review , 2006 .

[13]  David Cyranoski Renewable energy: Beijing's windy bet , 2009, Nature.

[14]  Ben Shneiderman,et al.  Analyzing Social Media Networks with NodeXL: Insights from a Connected World , 2010 .

[15]  Joseph Szarka,et al.  Wind power, policy learning and paradigm change , 2006 .

[16]  Lena Neij,et al.  Use of experience curves to analyse the prospects for diffusion and adoption of renewable energy technology , 1997 .

[17]  Kumiko Miyazaki,et al.  Technological innovation and diffusion of wind power in Japan , 2008 .

[18]  K. H. Solangi,et al.  A review on global wind energy policy , 2010 .

[19]  P. Geroski Models of technology diffusion , 2000 .

[20]  W D Metz,et al.  Wind energy: large and small systems competing. , 1977, Science.

[21]  Robert U. Ayres,et al.  Barriers and breakthroughs: an “expanding frontiers” model of the technology-industry life cycle , 1988 .

[22]  R. D. Richardson,et al.  Wind energy systems , 1993, Proc. IEEE.

[23]  M. Dresselhaus,et al.  Alternative energy technologies , 2001, Nature.

[24]  Jiuping Xu,et al.  Hydropower development trends from a technological paradigm perspective , 2015 .

[25]  Vijay Mahajan,et al.  Chapter 8 New-product diffusion models , 1993, Marketing.

[26]  Judith Gurney BP Statistical Review of World Energy , 1985 .

[27]  V.V.N. Kishore,et al.  Wind power technology diffusion analysis in selected states of India , 2009 .

[28]  Umar K. Mirza,et al.  Forecasting the diffusion of wind power in Pakistan , 2011 .

[29]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

[30]  Jessika E Trancik,et al.  Renewable energy: Back the renewables boom , 2014, Nature.

[31]  Eugene Garfield,et al.  Citation indexing - its theory and application in science, technology, and humanities , 1979 .

[32]  A. Majumdar,et al.  Opportunities and challenges for a sustainable energy future , 2012, Nature.

[33]  Sandip Deshmukh,et al.  Modeling of hybrid renewable energy systems , 2008 .

[34]  Wang Zhixin,et al.  The key technology of offshore wind farm and its new development in China , 2009 .

[35]  N. Meade The use of growth curves in forecasting market development—a review and appraisal , 1984 .

[36]  D. Mowery,et al.  Inside the black box: The influence of market demand upon innovation: a critical review of some recent empirical studies , 1993 .

[37]  Federica Cucchiella,et al.  Issue on supply chain of renewable energy , 2013 .

[38]  Chihiro Watanabe,et al.  Diffusion trajectory of self-propagating innovations interacting with institutions—incorporation of multi-factors learning function to model PV diffusion in Japan , 2006 .

[39]  A. Valle,et al.  Forecasting accuracy of wind power technology diffusion models across countries , 2011 .

[40]  M. Guidolin,et al.  Cross-country diffusion of photovoltaic systems: Modelling choices and forecasts for national adoption patterns , 2010 .

[41]  A. Masini,et al.  Forecasting the diffusion of photovoltaic systems in southern Europe: A learning curve approach $ , 2003 .

[42]  A. Sahin,et al.  A statistical analysis of wind energy potential at the eastern region of Saudi Arabia , 1999 .

[43]  Jiuping Xu,et al.  Carbon Capture and Storage Development Trends from a Techno-Paradigm Perspective , 2014 .

[44]  Sung-Yoon Huh,et al.  Diffusion of renewable energy technologies in South Korea on incorporating their competitive interrelationships. , 2014 .

[45]  C. Pérez Technological Revolutions and Techno-Economic Paradigms , 2010 .

[46]  Izumi Ushiyama,et al.  A demonstrative study for the wind and solar hybrid power system , 1996 .

[47]  Peter Lund,et al.  Upfront resource requirements for large-scale exploitation schemes of new renewable technologies , 2007 .

[48]  Staffan Jacobsson,et al.  The diffusion of renewable energy technology: an analytical framework and key issues for research , 2000 .

[49]  V.V.N. Kishore,et al.  A review of technology diffusion models with special reference to renewable energy technologies , 2010 .

[50]  Peter Lund,et al.  Market penetration rates of new energy technologies , 2006 .

[51]  Lennart Söder,et al.  An overview of wind energy-status 2002 , 2002 .

[52]  Gustavo O Collantes,et al.  Incorporating stakeholders' perspectives into models of new technology diffusion: The case of fuel-cell vehicles , 2007 .

[53]  Orhan Aydin,et al.  Wind energy–hydrogen storage hybrid power generation , 2001 .

[54]  Paul Nightingale,et al.  Technological paradigms: past, present and future , 2008 .

[55]  J. Painuly,et al.  Diffusion of renewable energy technologies—barriers and stakeholders’ perspectives , 2004 .

[56]  Congcong Chi,et al.  Fractal-Based Research Approach for Lignocellulose-to-Ethanol Conversion , 2014 .

[57]  Geir Moe,et al.  Status, plans and technologies for offshore wind turbines in Europe and North America , 2009 .

[58]  Daemon Fairless Biofuel: The little shrub that could - maybe , 2007, Nature.

[59]  Nand Kishor,et al.  Off-shore wind farm development: Present status and challenges , 2014 .

[60]  Chemmangot Nayar,et al.  Conceptual model for marketing solar based technology to developing countries , 2002 .

[61]  Jochen Twele,et al.  Offshore wind farms , 2012 .

[62]  Karin Ibenholt Explaining learning curves for wind power , 2002 .

[63]  Tara C. Kandpal,et al.  Renewable energy technologies for irrigation water pumping in India: projected levels of dissemination, energy delivery and investment requirements using available diffusion models , 2005 .

[64]  Oliver R. Inderwildi,et al.  Global and local impacts of UK renewable energy policy , 2013 .

[65]  Salvina Gagliano,et al.  Probabilistic analysis of weather data for a hybrid solar/wind energy system , 2011 .

[66]  Martin Ryle Economics of alternative energy sources , 1977, Nature.

[67]  G. Dosi Technological Paradigms and Technological Trajectories: A Suggested Interpretation of the Determinants and Directions of Technical Change , 1982 .

[68]  J. Islas,et al.  The Gas Turbine , 1999 .

[69]  Lennart Söder,et al.  Wind energy technology and current status : a review , 2000 .

[70]  Vijay Mahajan,et al.  New Product Diffusion Models in Marketing: A Review and Directions for Research: , 1990 .

[71]  Antonio Soria,et al.  Technical change dynamics: evidence from the emerging renewable energy technologies , 2001 .

[72]  Joel D. Martin,et al.  Getting to the (c)ore of knowledge: mining biomedical literature , 2002, Int. J. Medical Informatics.