Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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Integrated Assessment Models Location: B005 Session Chair: Michael Sureth, Potsdam Institute for Climate Impact Research (PIK) | |
| Presentation 2 | |
An Integrated Energy System Modelling and Decision Support approach under uncertainty for refining National Commitments 1: School of Economics, Department IEES, and AE4RIA.ReSEES Research Laboratory, Athens University of Economics and Business, Athens, Greece; Department of Earth Sciences and Peterhouse, University of Cambridge, Cambridge, UK; AE4RIA.SDU ATHENA Information Technology Research Center, Athens, Greece; UN Sustainable Development Solutions Network (SDSN) Global Climate Hub, Athens, Greece; 2: Independent Researcher, Berlin 10243, Germany; 3: AE4RIA.ReSEES Research Laboratory, Athens University of Economics and Business, Athens, Greece; AE4RIA.SDU ATHENA Information Technology Research Center, Athens, Greece; UN Sustainable Development Solutions Network (SDSN) Global Climate Hub, Athens, Greece Achieving climate-neutrality is a central goal of European climate policy. Member States have submitted legally binding National Commitments (NCs) for decarbonization through their National Energy and Climate Plans (NECPs). However, achieving NCs efficiently, in tailored ways to national contexts, while considering policy preferences and uncertainties remains a challenge. This study addresses this gap by developing a novel operational framework for the refinement of the NCs through prioritizing investments in key decarbonization measures. We present a Decision Support System uniquely combining: high-granular simulations of the Greek energy system in the Low Emissions Analysis Platform (LEAP), under different NECP-based measures; and the Fuzzy Analytic Hierarchic Process (AHP) and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Multicriteria Analysis techniques. The Fuzzy AHP is used to weight different energy, emissions, time, trade and costs considerations (criteria), accounting for preference uncertainty. The Fuzzy TOPSIS offers then a ranking of the different simulated measures, accounting for data and/or modelling uncertainty. The resulted set of measures includes almost half of the initial NECP-based strategies, and can lead to decarbonization faster, cheaper, and at lower total emissions over the planning horizon. | |

