Multi-criteria decision analysis of energy system transformation pathways: A case study for Switzerland

Two recent political decisions are expected to frame the development of the Swiss energy system in the coming decades: the nuclear phase-out and the greenhouse gas (GHG) emission reduction target. To accomplish both of them, low-carbon technologies based on renewable energy and Carbon Capture and Storage (CCS) are expected to gain importance. The objective of the present work is to support prospective Swiss energy policy-making by providing a detailed sustainability analysis of possible energy system transformation pathways. For this purpose, the results of the scenario quantification with an energy system model are coupled with multi-criteria sustainability analysis. Two climate protection and one reference scenario are addressed, and the trade-offs between the scenarios are analysed based on a set of 12 interdisciplinary indicators. Implementing a stringent climate policy in Switzerland is associated with co-benefits such as less fossil resource use, less fatalities in severe accidents in the energy sector, less societal conflicts and higher resource autonomy. The availability and implementation of CCS allows for achieving the GHG emission reduction target at lower costs, but at the expense of a more fossil fuel-based energy system.

[1]  A. Holma,et al.  Environmental impacts of the national renewable energy targets - A case study from Finland , 2016 .

[2]  Giancarlos Troncoso Parady,et al.  Japan's energy conundrum: Post-Fukushima scenarios from a life cycle perspective , 2014 .

[3]  A. Azapagic,et al.  Decarbonising electricity supply: Is climate change mitigation going to be carried out at the expense of other environmental impacts? , 2015 .

[4]  S. Hirschberg,et al.  Comparative risk assessment of severe accidents in the energy sector , 2014 .

[5]  Rafik Missaoui,et al.  Multi-criteria analysis of electricity generation mix scenarios in Tunisia , 2014 .

[6]  David J. Browne,et al.  Use of multi-criteria decision analysis to explore alternative domestic energy and electricity policy scenarios in an Irish city-region , 2010 .

[7]  Claudia Sheinbaum-Pardo,et al.  Mexican energy policy and sustainability indicators , 2012 .

[8]  Daniel Garraín,et al.  Prospective life cycle assessment of the Spanish electricity production , 2017 .

[9]  Alexis Laurent,et al.  Environmental impacts of electricity generation at global, regional and national scales in 1980–2011: what can we learn for future energy planning? , 2015 .

[10]  Alexandre Szklo,et al.  Overlooked impacts of electricity expansion optimisation modelling: The life cycle side of the story , 2016 .

[11]  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.

[12]  R. Kahhat,et al.  Is climate change-centrism an optimal policy making strategy to set national electricity mixes? , 2015 .

[13]  E. Hertwich,et al.  Environmental impacts of high penetration renewable energy scenarios for Europe , 2016 .

[14]  Gregory M Peters,et al.  Aggregating sustainability indicators: beyond the weighted sum. , 2012, Journal of environmental management.

[15]  Fabio Menten,et al.  Lessons from the use of a long-term energy model for consequential life cycle assessment: The BTL case , 2015 .

[16]  V. Stevanovic,et al.  Sustainable development of the Belgrade energy system , 2009 .

[17]  E. Hertwich,et al.  Integrated life-cycle assessment of electricity-supply scenarios confirms global environmental benefit of low-carbon technologies , 2014, Proceedings of the National Academy of Sciences.

[18]  Joeri Van Mierlo,et al.  The hourly life cycle carbon footprint of electricity generation in Belgium, bringing a temporal resolution in life cycle assessment , 2014 .

[19]  Adisa Azapagic,et al.  Renewable electricity in Turkey: Life cycle environmental impacts , 2016 .

[20]  Mario Martín-Gamboa,et al.  Integration of life-cycle indicators into energy optimisation models: The case study of power generation in Norway , 2016 .

[21]  Geoffrey P. Hammond,et al.  The energy and environmental implications of UK more electric transition pathways: A whole systems perspective , 2013 .

[22]  Evangelos Triantaphyllou,et al.  Multi-criteria Decision Making Methods: A Comparative Study , 2000 .

[23]  Jukka Paatero,et al.  Multicriteria-based decision aiding technique for assessing energy policy elements-demonstration to a case in Bangladesh , 2016 .

[24]  J. Bergh,et al.  Optimal diversity of renewable energy alternatives under multiple criteria: An application to the UK , 2016 .

[25]  Stefan Hirschberg,et al.  Interdisciplinary assessment of renewable, nuclear and fossil power generation with and without carbon capture and storage in view of the new Swiss energy policy , 2016 .

[26]  C. Bauer,et al.  Sustainability of electricity supply technology portfolio , 2009 .

[27]  Maria Madalena Teixeira de Araújo,et al.  Evaluating future scenarios for the power generation sector using a Multi-Criteria Decision Analysis (MCDA) tool: The Portuguese case , 2013 .

[28]  C. Bauer,et al.  Transition to Hydrogen: Life cycle assessment of hydrogen production , 2011 .

[29]  Sanghyun Hong,et al.  Evaluating options for the future energy mix of Japan after the Fukushima nuclear crisis , 2013 .

[30]  Christian Bauer,et al.  Life cycle assessment of carbon capture and storage in power generation and industry in Europe , 2013 .

[31]  S. Banfi An Analysis of Investment Decisions for Energy-Efficient Renovation of Multi-Family Buildings - , 2012 .

[32]  A. Azapagic,et al.  Sustainability assessment of energy systems: Integrating environmental, economic and social aspects , 2014 .

[33]  C. Brand,et al.  The UK transport carbon model: An integrated life cycle approach to explore low carbon futures , 2012 .

[34]  D. Štreimikienė,et al.  Multi-objective ranking of climate change mitigation policies and measures in Lithuania , 2013 .