Analyzing driving forces behind changes in energy vulnerability of Spanish electricity generation through a Divisia index-based method

Abstract High energy dependence on fossil raises vulnerability concerns about security of supply and energy cost. This research examines the impact of high dependence of imported fuels for power generation in Spain through the quantification and analysis of the driving forces behind the change in its electricity bill. Following logarithmic mean Divisia indexes approach, we present and perform a new method that enables a complete decomposition of changes in electricity vulnerability into contributions from several drivers. In fact, we identify five predefined factors behind the variations in vulnerability in Spain during the 1998–2011 period: fuel price, average heat rate, fuel dependence, degree of electricity importance and energy intensity. The application of this approach reveals a significant increase in Spanish vulnerability in the last two decades, promoted by increments in fuel price and importance of electricity over the primary energy consumption, but especially by increasing fuel dependence (particularly gas dependence). Therefore, findings mainly advocate for those strategies aimed at reducing Spanish energy dependence. Also those improving thermal efficiency and energy intensity are indicated.

[1]  B. W. Ang,et al.  The Application of the Divisia Index to the Decomposition of Changes in Industrial Energy Consumption , 1992 .

[2]  Karen Smith Stegen,et al.  Decision-making for supplying energy projects: A four-dimensional model , 2014 .

[3]  E. Gnansounou Assessing the energy vulnerability: Case of industrialised countries , 2008 .

[4]  G. Diaz,et al.  Fischer-Burmeister-Based Method for Calculating Equilibrium Points of Droop-Regulated Microgrids , 2012, IEEE Transactions on Power Systems.

[5]  E. Gnansounou,et al.  Vulnerability of the economy to the potential disturbances of energy supply: A logic-based model with application to the case of China , 2010 .

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

[7]  B. W. Ang,et al.  Energy security: Definitions, dimensions and indexes , 2015 .

[8]  A. J. Seebregts,et al.  EU Standards for Energy Security of Supply , 2006 .

[9]  Jorge Valenzuela,et al.  Modeling and simulation of consumer response to dynamic pricing with enabled technologies , 2012 .

[10]  J. Sun Changes in energy consumption and energy intensity: A complete decomposition model , 1998 .

[11]  B. W. Ang,et al.  Decomposition of industrial energy consumption: Some methodological and application issues , 1994 .

[12]  B. W. Ang,et al.  Properties and linkages of some index decomposition analysis methods , 2009 .

[13]  Subhes C. Bhattacharyya,et al.  High gas dependence for power generation in Thailand: The vulnerability analysis , 2007 .

[14]  Anastassios Pouris,et al.  Energy efficiency in South Africa : a decomposition exercise , 2012 .

[15]  B. W. Ang,et al.  Factorizing changes in energy and environmental indicators through decomposition , 1998 .

[16]  Delphine François,et al.  A Shapley decomposition of carbon emissions without residuals , 2002 .

[17]  B. W. Ang,et al.  Decomposition methodology in industrial energy demand analysis , 1995 .

[18]  A. Syed,et al.  Trends in Energy Intensity in Australian Industry , 2008 .

[19]  B. W. Ang,et al.  Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method , 1997 .

[20]  Se-Hark Park,et al.  Decomposition of industrial energy consumption: An alternative method , 1992 .

[21]  Esteban Fernández-Vázquez,et al.  A General Maximum Entropy Econometric approach to model industrial electricity prices in Spain: A challenge for the competitiveness , 2014 .

[22]  Ervin Bossanyi,et al.  UK primary energy consumption and the changing structure of final demand , 1979 .

[23]  Juozas Augutis,et al.  Energy mix optimization from an energy security perspective , 2015 .

[24]  Unfccc Kyoto Protocol to the United Nations Framework Convention on Climate Change , 1997 .

[25]  B. W. Ang,et al.  Decomposition analysis for policymaking in energy:: which is the preferred method? , 2004 .

[26]  Ki-Hong Choi,et al.  Extended Divisia index decomposition of changes in energy intensity: A case of Korean manufacturing industry , 2014 .

[27]  Jacques Percebois,et al.  Energy vulnerability and its management , 2007 .

[28]  B. W. Ang,et al.  Some properties of an exact energy decomposition model , 2000 .

[29]  Evaluation of dynamic pass-through of carbon prices into electricity prices - a cointegrated VECM analysis , 2013 .

[30]  J. C. Jansen,et al.  Long-term energy services security: What is it and how can it be measured and valued? , 2010 .

[31]  Eshita Gupta Oil vulnerability index of oil-importing countries , 2008 .

[32]  R. Newell,et al.  Information programs for technology adoption: The case of energy-efficiency audits , 2004 .

[33]  Lars J Nilsson,et al.  Assessing energy security: An overview of commonly used methodologies , 2014 .

[34]  Esteban Fernández,et al.  An extension to Sun's decomposition methodology: The Path Based approach , 2008 .

[35]  G. Hankinson,et al.  Electricity consumption, electricity intensity and industrial structure , 1983 .

[36]  R. Yokoyama,et al.  A revised method for robust optimal design of energy supply systems based on minimax regret criterion , 2014 .

[37]  Subhes C. Bhattacharyya,et al.  Fossil-Fuel Dependence and Vulnerability of Electricity Generation: Case of Selected European Countries , 2009 .

[38]  Jingzheng Ren,et al.  Enhancing China's energy security: determining influential factors and effective strategic measures , 2014 .

[39]  C. P. Doblin,et al.  Declining Energy Intensity in the U.S. Manufacturing Sector , 1988 .

[40]  B. W. Ang,et al.  A survey of index decomposition analysis in energy and environmental studies , 2000 .

[41]  Michael Grubb,et al.  Diversity and Security in UK Electricity Generation: The Influence of Low Carbon Objectives , 2006 .

[42]  Mustafa Balat,et al.  Security of energy supply in Turkey: Challenges and solutions , 2010 .

[43]  B. W. Ang,et al.  A new energy decomposition method: perfect in decomposition and consistent in aggregation , 2001 .

[44]  B. W. Ang,et al.  The LMDI approach to decomposition analysis: a practical guide , 2005 .

[45]  Hellmuth Weisser,et al.  The security of gas supply—a critical issue for Europe? , 2007 .

[46]  P. F. González,et al.  The driving forces behind changes in CO2 emission levels in EU-27. Differences between member states , 2014 .

[47]  Guzmán Díaz A note on the multivariate Archimedean dependence structure in small wind generation sites , 2014 .

[48]  Manfred Rudolph,et al.  Analysis of the factors influencing energy consumption in industry: A revised method , 1987 .

[49]  J. Bernat,et al.  Restructuring and generation of electrical energy in the Iberian Peninsula , 2007 .

[50]  Kazuo Sato The Ideal Log-Change Index Number , 1976 .

[51]  Gale A. Boyd,et al.  Separating the Changing Composition of U.S. Manufacturing Production from Energy Efficiency Improvements: A Divisia Index Approach , 1987 .