A typology for world electricity mix: Application for inventories in Consequential LCA (CLCA)

Over the past two decades, the integration of environmental concerns into decision making has been gaining prominence both at national and global levels. Sustainable development now factors into policy design as well as industrial technological choices. For this purpose, Life Cycle Assessment (LCA)–which evaluates environmental impacts of products, processes and services through their complete life cycle–is considered a crucial tool to support the integration of environmental sustainability into decision making. In particular, Consequential LCA (CLCA) has emerged as an approach to assess consequences of change, considering both direct and indirect impacts of changes. Currently, no long-term datasets of Consequential Life Cycle Inventories (CLCI) are available, particularly in the case of electricity production mixes. A first and fundamental step to begin filling this gap is to make available data on national level greenhouse gas emissions from electricity and create a typology of electricity production mixes to support policy making. The proposed typology is based on the analysis of the composition of electricity production mixes of 91 countries producing more than 10 TWh in 2012, on the one hand, and of their calculated greenhouse gas (GHG) emissions (in gCO2eq/kWh) from LCA using IPCC 2013 data, on the other hand. All types of primary energy resources are considered, and some are grouped according to similarities in their emissions intensities. Using graphical observations of these two characteristics and a boundary definition, we create a 4-group typology for GHG emissions per kWh, i.e., very low (0–37 gCO2eq/kWh), low (37–300 gCO2eq/kWh), mean (300–600 gCO2eq/kWh) and high (>600 gCO2eq/kWh). The typology is based on the general characteristics of the electric power generation fleet, corresponding respectively to power systems heavy on hydraulic and/or nuclear power with the remainder of the fleet dominated by renewables; hydraulic and/or nuclear power combined with a diversified mix; gas with a diversified mix; coal, oil and predominantly fossils. This typology describes the general tendencies of the electricity mix and, over time, it can help point to ways in which countries can transition between groups. Further steps should be devoted to the development of indicators taking into account grid interconnection, energy sector resilience in the quest for a mix optimum.

[1]  Reinout Heijungs,et al.  Identifying best existing practice for characterization modeling in life cycle impact assessment , 2012, The International Journal of Life Cycle Assessment.

[2]  Roberto Turconi,et al.  Life cycle assessment (LCA) of electricity generation technologies: Overview, comparability and limitations , 2013 .

[3]  F. Geels,et al.  Typology of sociotechnical transition pathways , 2007 .

[4]  B. Weidema Market aspects in product life cycle inventory methodology , 1993 .

[5]  F. Geels,et al.  Exploring sustainability transitions in the electricity sector with socio-technical pathways , 2010 .

[6]  G. Lewis,et al.  Life cycle greenhouse gas emissions of electricity generation in the province of Ontario, Canada , 2013, The International Journal of Life Cycle Assessment.

[7]  Reinout Heijungs,et al.  Lights and shadows in consequential LCA , 2012, The International Journal of Life Cycle Assessment.

[8]  R. Heijungs,et al.  Guidelines for application of deepened and broadened LCA , 2009 .

[9]  A. Hawkes Estimating marginal CO2 emissions rates for national electricity systems , 2010 .

[10]  Bo Pedersen Weidema,et al.  Marginal production technologies for life cycle inventories , 1999 .

[11]  C. Bauer,et al.  Exploring Challenges and Opportunities of Life Cycle Management in the Electricity Sector , 2015 .

[12]  Göran Finnveden,et al.  Environmental systems analysis tools – an overview , 2005 .

[13]  양민선 IPCC(Intergovernmental Panel on climate Change) 외 , 2008 .

[14]  David Hopwood The world waits for COP to deliver , 2015 .

[15]  Mary Ann Curran,et al.  The international workshop on electricity data for life cycle inventories , 2005 .

[16]  Danièle Revel,et al.  IPCC Special Report on Renewable Energy Sources and Climate Change Mitigation , 2011 .

[17]  J. M. Earles,et al.  Consequential life cycle assessment: a review , 2011 .

[18]  Frank W. Geels,et al.  The ongoing energy transition: Lessons from a socio-technical, multi-level analysis of the Dutch electricity system (1960-2004) , 2007 .

[19]  Anders S. G. Andrae,et al.  Attributional and Consequential Environmental Assessment of the Shift to Lead-Free Solders (10 pp) , 2006 .

[20]  Réjean Samson,et al.  Implications of integrating electricity supply dynamics into life cycle assessment: a case study of renewable distributed generation , 2014 .

[21]  Henk J. Scholten,et al.  An Introduction to Geographical Information Systems , 1995 .

[22]  David J. Brennan,et al.  Application of data quality assessment methods to an LCA of electricity generation , 2003 .

[23]  Axel Michaelowa,et al.  Use of Indicators to Improve Communication on Energy Systems Vulnerability, Resilience and Adaptation to Climate Change , 2010 .

[24]  Antonin Pottier,et al.  L'économie dans l'impasse climatique , 2014 .

[25]  Yohji Uchiyama,et al.  Life-cycle assessment of electricity generation options: The status of research in year 2001 , 2002 .

[26]  Göran Wall,et al.  A review of life cycle assessments on wind energy systems , 2012, The International Journal of Life Cycle Assessment.

[27]  Brian Vad Mathiesen,et al.  Uncertainties related to the identification of the marginal energy technology in consequential life cycle assessments , 2009 .

[28]  Christian Bauer,et al.  Life cycle inventories of electricity generation and power supply in version 3 of the ecoinvent database—part I: electricity generation , 2016, The International Journal of Life Cycle Assessment.

[29]  Sebastian Strunz The German energy transition as a regime shift , 2014 .

[30]  Sandrine Mathy,et al.  Scénarios de l’Ancre pour la transition énergétique : rapport 2013 , 2014 .

[31]  C. Bauer,et al.  Life cycle inventories of electricity generation and power supply in version 3 of the ecoinvent database—part II: electricity markets , 2014, The International Journal of Life Cycle Assessment.