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Technology and Innovation

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Energy for Development

Part of the book series: Environment & Policy ((ENPO,volume 54))

Abstract

The twentieth century has witnessed an extraordinary progression of technologies for both energy sources and energy use. This chapter reviews three ‘enablers of change’ both of supply and demand for energy. The first is ­technological invention and innovation, including basic research, exploration and mining technologies, oil and gas discovery and coal mining. The second enabler is the learning curve, an empirical function depicting declining costs of products with accumulating experience, for example, for renewable energy. The third enabler is the declining marginal costs of production as production units become bigger, but saturation can be observed as the negative externalities of large-scale production overwhelm the capacity of the natural environmental system to absorb unwanted emissions. This is particularly worrying in the case of global climate change and its implications.

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References

  • Bergmann, A. E., Colombo, S., & Hanley, N. (2007, April). The social–environmental impacts of renewable energy expansion in Scotland. Presented at the 81st annual conference of the Agricultural Economics Society, University of Reading, Reading, UK.

    Google Scholar 

  • Blanco, M. I. (2009). The economics of wind energy. Renewable and Sustainable Energy Reviews, 13, 1372–1382.

    Article  Google Scholar 

  • de Lucas, M., Janss, G. F. E., & Ferrer, M. (2007). Birds and wind farms. Madrid: Quercus.

    Google Scholar 

  • Dianshu, F., Sovacool, B. K., & Vu, K. M. (2010). The barriers to energy efficiency in China: Assessing household electricity savings and consumer behavior in Liaoning Province. Energy Policy, 38(2), 1202–1209.

    Article  Google Scholar 

  • Everaert, J., & Stienen, E. W. M. (2007). Impact of wind turbines on birds in Zeebrugge (Belgium). Biodiversity and Conservation, 16, 3345–3359.

    Article  Google Scholar 

  • Ferioli, F., Schoots, K., & van der Zwaan, B. C. C. (2009). Use and limitations of learning curves for energy technology policy: A component-learning hypothesis. Energy Policy, 37(7), 2525–2535.

    Article  Google Scholar 

  • Garcia-Martinez, J. (Ed.). (2010). Nanotechnology for the energy challenge. Weinheim: Wiley-VCH.

    Google Scholar 

  • Granade, H. C., Creyts, J., Derkach, A., Farese, P., Nyquist, S., & Ostrowski, K. (2009). Unlocking energy efficiency in the U.S. economy. Zurich: McKinsey & Company/McKinsey Global Energy and Materials. McKinsey.com/clientservice/electricpowernaturalgas/dowloads/us_energy_efficiency_full_report.pdf. Accessed 4 June 2010.

  • Hirschberg, S. (2012). Externalities in the global energy system. In F. L. Toth (Ed.), Energy for development: Resources, technologies, environment (pp. 121–138). Dordrecht: Springer.

    Google Scholar 

  • Iimi, A. (2003). Economies of scale in power generation, transmission and distribution: Integration or unbundling? (Working Paper No. 11), Tokyo: Japan Bank for International Cooperation.

    Google Scholar 

  • IPCC (Intergovernmental Panel on Climate Change). (2005). IPCC special report on carbon dioxide capture and storage (Prepared by Working Group III of the IPCC). B. Metz, O. Davidson, H. C. de Coninck, M. Loos, & L. A. Meyer (Eds.). Cambridge: Cambridge University Press.

    Google Scholar 

  • IPCC (Intergovernmental Panel on Climate Change). (2007). Climate change 2007: The physical science basis (Contribution of Working Group I to the fourth assessment report of the IPCC). S. Solomon, D. Qin, M. Manning, Z. Chen, & M. Marquis (Eds.). Cambridge: Cambridge University Press.

    Google Scholar 

  • Jamasb, T., & Köhler, J. (2007). Learning curves for energy technology: A critical assessment (Cambridge working papers in economics). Cambridge: Cambridge University.

    Google Scholar 

  • Korkin, A., Krstic, P. S., & Wells, J. C. (2010). Nanotechnology for electronics, photonics, and renewable energy. New York: Springer.

    Book  Google Scholar 

  • Maloney, M. T. (2001). Economies and diseconomies: Estimating electricity cost functions. Review of Industrial Organization, 19(2), 165–180.

    Article  Google Scholar 

  • NRC (National Research Council of the National Academies). (2007). Environmental impacts of wind-energy projects. Washington, DC: National Academies Press.

    Google Scholar 

  • Rabl, A., & Spadaro, J. V. (2006). Environmental impacts and costs of energy. Annals of the New York Academy of Sciences, 1076, 516–526.

    Article  Google Scholar 

  • Rhine, R. (2001). Economies of scale and optimal capital in nuclear and fossil fuel electricity production. Atlantic Economic Journal, 29(2), 203–214.

    Article  Google Scholar 

  • Rutherford, J. P., Scharpf, E. W., & Carrington, C. G. (2007). Linking consumer energy efficiency with security of supply. Energy Policy, 35(5), 3025–3035.

    Article  Google Scholar 

  • Serrano, E., Guillermo, R., & Garcia-Martinez, J. (2009). Nanotechnology for sustainable energy. Renewable and Sustainable Energy Reviews, 13(9), 2373–2384.

    Article  Google Scholar 

  • Tonn, B. E., & Peretz, J. H. (2008). Barriers to reducing energy consumption at home and on the road (Working Paper), Knoxville: Institute for a Secure and Sustainable Environment/University of Tennessee.

    Google Scholar 

  • Tucker, G., Bassi, S., Anderson, J., Chiavari, J., Casper, K., & Fergusson, M. (2008). Provision of evidence of the conservation impacts of energy production. London: Institute for European Environmental Policy.

    Google Scholar 

  • van der Zwaan, B., & Rablc, A. (2004). The learning potential of photovoltaics: Implications for energy policy. Energy Policy, 32, 1545–1554.

    Article  Google Scholar 

  • Webster, M., Sokolov, A. P., Reilly, J. M., Forest, C. E., Paltsev, S., et al. (2009). Analysis of climate policy targets under uncertainty (Report No. 180). Cambridge: MIT Joint Program on the Science and Policy of Global Change. www.globalchange.mit.edu/pubs/abstract.php?publication_id=1989. Accessed 4 June 2010.

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© 2012 International Atomic Energy Agency 2012

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Gibbons, J.H. (2012). Technology and Innovation. In: Toth, F. (eds) Energy for Development. Environment & Policy, vol 54. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4162-1_11

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