Linking narratives and energy system modelling in transport scenarios: A participatory perspective from Denmark

Abstract In energy and transport policy research, the creative process of building narrative storylines allows investigating future structures of the system under analysis, thus interpreting causal relations and interdependencies. Quantitative tools instead model the deterministic structure of the system, thus enhancing the validity of input assumptions and presenting long-term implications of policies. However, the process of integrating narratives and modelling remains an intricate phase for deriving robust policy recommendations. The present paper investigates the iterative and participatory application of driving forces in bridging qualitative and quantitative methods in transport scenarios, presenting the case of the Danish transport sector. Stakeholders generate key driving forces and narratives of transport futures as a collective action. Subsequently, a structured prioritization, translation and quantification of the driving forces and qualitative storylines yields the generation of quantitative scenarios in the energy system model TIMES-DK. We discuss the opportunities and challenges of our approach, underlining that the use of multiple driving forces is a critical aspect for the creation of coherent storylines. The communication among actors has a central role in the iterative process for increasing mutual enrichment and validation. The existing gap between modelling results and the future evolution of the transport sector can be overcome by reinforcing a constant dialogue, as to both embrace stakeholders’ perspectives, and to secure an impact on transport policy making.

[1]  Benjamin P. Bryant,et al.  Thinking Inside the Box , 2010 .

[2]  Teresa Ribeiro,et al.  Technological Forecasting & Social Change Scenario planning in public policy : Understanding use , impacts and the role of institutional context factors ☆ , 2009 .

[3]  Kenneth Karlsson,et al.  Danish greenhouse gas reduction scenarios for 2020 and 2050 , 2008 .

[4]  Angela Wilkinson,et al.  Rethinking the 2 × 2 scenario method: Grid or frames? , 2014 .

[5]  David Banister,et al.  Evaluating the impacts of transport backcasting scenarios with multi-criteria analysis , 2018 .

[6]  Reza Maknoon,et al.  An integrated scenario-based robust planning approach for foresight and strategic management with application to energy industry , 2016 .

[7]  J. Hertin,et al.  Socio-economic futures in climate change impact assessment: using scenarios as ‘learning machines’ , 2002 .

[8]  B. Sovacool,et al.  Integrating techno-economic, socio-technical and political perspectives on national energy transitions: A meta-theoretical framework , 2018 .

[9]  Per Anker Jensen,et al.  Sectoral innovation system foresight in practice: Nordic facilities management foresight , 2014 .

[10]  R. Hickman,et al.  Examining transport futures with scenario analysis and MCA , 2012 .

[11]  Kasper Kok,et al.  Combining participative backcasting and exploratory scenario development: Experiences from the SCENES project , 2011 .

[12]  Elmar Kriegler,et al.  Improving environmental change research with systematic techniques for qualitative scenarios , 2012 .

[13]  Angela Wilkinson,et al.  How plausibility-based scenario practices are grappling with complexity to appreciate and address 21st century challenges , 2013 .

[14]  A. Grunwald Energy futures: Diversity and the need for assessment , 2011 .

[15]  Benjamin K. Sovacool,et al.  Diversity: Energy studies need social science , 2014, Nature.

[16]  Brian Vad Mathiesen,et al.  Smart Energy Systems for coherent 100% renewable energy and transport solutions , 2015 .

[17]  Ruben Bibas,et al.  Rethinking the role of scenarios: Participatory scripting of low-carbon scenarios for France , 2015 .

[18]  Per Dannemand Andersen,et al.  Introduction to foresight and foresight processes in practice: Note for the PhD course Strategic Foresight in Engineering , 2014 .

[19]  Steve Pye,et al.  Uncertainty, politics, and technology: Expert perceptions on energy transitions in the United Kingdom , 2018 .

[20]  M. Thring World Energy Outlook , 1977 .

[21]  Benjamin K. Sovacool,et al.  Energy and environmental attitudes in the green state of Denmark: Implications for energy democracy, low carbon transitions, and energy literacy , 2015, Environmental Science & Policy.

[22]  Tadhg O’ Mahony,et al.  Integrated scenarios for energy: A methodology for the short term , 2014 .

[23]  K. Kok,et al.  Envisioning the future of water in Europe - the SCENES project , 2008 .

[24]  Yaakov Garb,et al.  Scenarios in society, society in scenarios: toward a social scientific analysis of storyline-driven environmental modeling , 2008 .

[25]  Frans Berkhout,et al.  Evaluating sustainability transitions pathways: Bridging analytical approaches to address governance challenges , 2015 .

[26]  P. Jacobsen,et al.  Interactive Foresight Simulation , 2016 .

[27]  Joseph Alcamo,et al.  Chapter Six The SAS Approach: Combining Qualitative and Quantitative Knowledge in Environmental Scenarios , 2008 .

[28]  Jacopo Tattini,et al.  TIMES-DK: Technology-rich multi-sectoral optimisation model of the Danish energy system , 2019, Energy Strategy Reviews.

[29]  Will McDowall,et al.  Exploring possible transition pathways for hydrogen energy: A hybrid approach using socio-technical scenarios and energy system modelling , 2014 .

[30]  F. M. Andersen,et al.  Coherent Energy and Environmental System Analysis , 2011 .

[31]  Kenneth Bernard Karlsson,et al.  Energy Scenarios: A Review of Methods, Uses and Suggestions for Improvement , 2007, Renewable Energy.

[32]  S. White,et al.  Collaborative Stakeholder Dialogue: A Catalyst for Better Transport Policy Choices , 2015 .

[33]  Don MacKenzie,et al.  Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles , 2016 .

[34]  Inga-Lena Darkow,et al.  Analysis of factors influencing the development of transport infrastructure until the year 2030 — A Delphi based scenario study , 2012 .

[35]  P. Eng CO2 emissions from fuel combustion: highlights , 2009 .

[36]  Enayat Allah Moallemi,et al.  A participatory exploratory modelling approach for long-term planning in energy transitions , 2017 .

[37]  R. Hickman,et al.  Transport futures: Thinking the unthinkable , 2013 .

[38]  Axel Volkery,et al.  Your Vision or My Model? Lessons from Participatory Land Use Scenario Development on a European Scale , 2008 .

[39]  Peter Schwartz,et al.  The Art of the Long View: Planning for the Future in an Uncertain World , 1996 .

[40]  Marjolein B.A. van Asselt,et al.  Practising the scenario-axes technique , 2006 .

[41]  Ian P. Holman,et al.  European participatory scenario development: strengthening the link between stories and models , 2015, Climatic Change.

[42]  G. P. Hammond,et al.  Reconciling qualitative storylines and quantitative descriptions: an iterative approach , 2017 .

[43]  M. Reed Stakeholder participation for environmental management: A literature review , 2008 .

[44]  Arthur C. Petersen,et al.  Assessing qualitative and quantitative dimensions of uncertainty in energy modelling for policy support in the United Kingdom , 2018, Energy Research & Social Science.

[45]  George Papachristos,et al.  Towards multi-system sociotechnical transitions: why simulate , 2014, Technol. Anal. Strateg. Manag..

[46]  Patrícia Fortes,et al.  Long-term energy scenarios: : Bridging the gap between socio-economic storylines and energy modeling , 2015 .

[47]  Emilio Fontela,et al.  Bridging the gap between scenarios and models , 2000 .

[48]  Neil Strachan,et al.  Modelling energy transitions for climate targets under landscape and actor inertia , 2017 .

[49]  K. Riahi,et al.  The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century , 2017 .

[50]  Annele Eerola,et al.  Creating Prospective Value Chains for Renewable Road Transport Energy Sources , 2014 .

[51]  Jacopo Tattini,et al.  Reaching carbon neutral transport sector in Denmark – Evidence from the incorporation of modal shift into the TIMES energy system modeling framework , 2018 .

[52]  A. Moudon,et al.  Havana's Transportation System: Future Scenarios , 2017 .

[53]  Vilja Varho,et al.  Combining the qualitative and quantitative with the Q2 scenario technique — The case of transport and climate , 2013 .

[54]  Frans Berkhout,et al.  Bridging analytical approaches for low-carbon transitions , 2016 .

[55]  Danny Pudjianto,et al.  Linking a storyline with multiple models: A cross-scale study of the UK power system transition , 2014 .