ABSTRACT
Following Russia's invasion of Ukraine and amidst COVID-19 recovery efforts, the energy crisis has put enormous pressure to policymakers to balance climate action, sustainable development, and management of the impacts of fuel supply disruptions and price shocks. Policy and market responses, such as liquefied natural gas infrastructure investments and use of every available fossil-fuel lever to make up for Russian gas supply cuts, are feared to trigger new lock-ins, jeopardising decarbonisation. This is also the case in Italy, which is highly dependent on Russia-imported gas. Energy models typically used to support such decisions take time to produce meaningful scenarios and, in times of crisis, are largely driven by highly uncertain parameters. This study uses fuzzy cognitive maps to engage with experts in a workshop and elicit their knowledge and perceptions with the aid of a questionnaire, towards simulating the impact of selected strategies and important uncertainties on the three pillars of Italy's progress to electricity-sector sustainability: decarbonisation, affordability, and reliability. In a framework of deliberation and simulation, experts displayed strong preference for renewable energy, compared to new gas infrastructure. Renewables were notably deemed to have positive impacts across all three sustaina-biltiy dimensions and were found more robust against uncertainties, such as regulatory and political instability, which was highlighted as the biggest risk. Critically, despite their expectedly positive impact, demand-side transformations including demand reductions and broader behavioural shifts-a core component of the EU's current approach-may prove inadequate, should large system pressures from negative socio-and techno-economic developments persist.
ABSTRACT
Europe’s capacity to explore the envisaged pathways that achieve its near- and long-term energy and climate objectives needs to be significantly enhanced. In this perspective, we discuss how this capacity is supported by energy and climate-economy models, and how international modelling teams are organised within structured communication channels and consortia as well as coordinate multi-model analyses to provide robust scientific evidence. Noting the lack of such a dedicated channel for the highly active yet currently fragmented European modelling landscape, we highlight the importance of transparency of modelling capabilities and processes, harmonisation of modelling parameters, disclosure of input and output datasets, interlinkages among models of different geographic granularity, and employment of models that transcend the highly harmonised core of tools used in model inter-comparisons. Finally, drawing from the COVID-19 pandemic, we discuss the need to expand the modelling comfort zone, by exploring extreme scenarios, disruptive innovations, and questions that transcend the energy and climate goals across the sustainability spectrum. A comprehensive and comprehensible multi-model framework offers a real example of “collective” science diplomacy, as an instrument to further support the ambitious goals of the EU Green Deal, in compliance with the EU claim to responsible research.