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Energy is an important component of global social and economic infrastructure. The effective use of natural resources and the potential of the energy sector contribute to providing sustainable economic growth, a higher quality of life, and strengthening foreign economic positions. Currently, the development of the energy sector is associated with such global challenges as climate change, growth of energy consumption, depletion of natural resources, negative environmental impacts, and energy security. These challenges are widely discussed in various reports at the global level (Glenn et al., 2011; European Commission, 2007; European Commission, 2011; Intergovernmental Panel on Climate Change, 2007; International Energy Agency/OECD, 2011; National Intelligence Council, 2012; OECD, 2012). To reduce negative effects connected with these challenges and to move towards sustainable energy infrastructure, national governments need to be aware of the key technologies which can help address the problems identified. World experience shows that one of the most significant ways to increase an economy’s energy efficiency is by developing green energy technologies. These technologies can make an appreciable contribution to the sustainable development of the energy sector and economy as a whole through the production of clean and inexhaustible energy.
This paper investigates the main trends in green energy development by using two principal approaches to technology forecasting: expert (qualitative methods) and analytical (quantitative methods). The expert approach compiles a list of technology directions, based on the opinions of leading specialists in the subject area. The analytical procedures involve automatic processing of quantitative data from different sources using a specialized computer software (for example, Vantage Point). In theoretical works devoted to identifying technology trends the most frequently used sources of data are scientific publications (Chen, 2006; Cobo et al., 2011; Daim et al., 2006; Guo et al., 2011; Kajikawa et al., 2008; Kostoff et al., 2008; Morris et al., 2002; Porter & Cunningham, 2005; Shibata et al., 2008; Smalheiser, 2001; Upham & Small, 2010) and patents (Campbell, 1983; Corrocher, 2003; Daim et al., 2006; Dereli & Durmusoglu, 2005; Fattori et al., 2003; Kim et al., 2008; Kim et al., 2009; Lee et al., 2009; Lee et al., 2011; Li et al., 2009; Porter & Cunningham, 2005; Trappey et al., 2006; Tseng et al., 2007; Wang et al., 2010; Yoon & Park, 2004). However, in addition to publications and patents, technology forecasting can draw on information from news bulletins (Daim et al., 2006); business resources, such as the Lexis-Nexis database (Porter & Cunningham, 2005), venture capital funds and start-ups data (Cozzens et al., 2010)); information from thematic conferences (Porter & Cunningham, 2005), and others. The aim of this paper is to study the prospects for green energy technology development using a combination of expert and analytical methods, identify socio-economic and other challenges in energy use, as well as to analyze adjacent technological and non-technological areas, which are capable of significantly contributing to sustainable energy development.