Suchergebnisse

Energy system models are advancing rapidly. However, it is not clear whether models are becoming better, in the sense that they address the questions that decision-makers need answered to make well-informed decisions. Therefore, we investigate the gap between model improvements relevant from the perspective of modellers compared to what users of model results think models should address. Thus, we ask: What are the differences between energy model improvements as perceived by modellers, and the actual needs of users of model results? To answer this question, we conducted a literature review, 32 interviews, and an online survey. Our results show that user needs and ongoing improvements of energy system models align to a large degree, so that future models are indeed likely to be better than current models. We also find mismatches between the needs of modellers and users, especially in modelling of social, behavioural and political aspects, the trade-off between model complexity and understandability, and the ways that model results should be communicated. Our findings suggest that a better understanding of user needs and closer cooperation between modellers and users is imperative to truly improve models and unlock their full potential to support the transition towards climate neutrality in Europe.

The decarbonisation of the European energy system is a large-scale transformation, which demands not only for a techno-economic feasibility analysis, but also for an assessment of the social and political feasibility and environmental impacts. However, most energy models are not able to fully represent the social and political developments and dynamics of the energy transition, such as preferences, acceptance and behavioural changes of citizens and decision-makers. To address this shortcoming, we developed QTDIAN (Quantification of socio-Technological DIffusion and sociAl constraiNts) − a toolbox of qualitative and quantitative descriptions of socio-technical and political aspects of the energy transition. In this deliverable, we present and discuss the linking of QTDIAN with the energy demand models DESSTINEE, HEB and DREEM, and the energy system model Euro-Calliope. The purpose of linking the models is to integrate the outputs from QTDIAN into the energy models to allow for an empirically based and thus more realistic analysis of energy system trajectories, with a higher relevance for informing pending policy decisions. The central question we address is: How can the social storylines and quantifications from QTDIAN be transferred into energy demand and systems models? We show several ways how QTDIAN's quantified variables allow for a direct application of the storylines into the modelling process of Euro-Calliope, DESSTINEE, HEB and DREEM. The qualitative storylines ensure that modellers do not create technically feasible energy systems that are outside the realms of social or political realities. In addition, the quantitative data can be used to improve the accuracy and especially the policy relevance of the modelling results by providing specific estimates for social and political variables and constraints. However, not all aspects of QTDIAN could be integrated because not all aspects of the storylines could be quantified, and the models to which QTDIAN links in this deliverable are not able to capitalise ...

Achieving the EU's commitment under the Paris Agreement, the Energy Union Strategy, and the European Green Deal, requires a significant transformation of current energy systems. Renewable energy is a major component of this transition, and thus, policymakers face the challenge of making decisions about new renewables-dominated energy systems. Because real world experimentation is in large scale not possible, models can serve as 'laboratories' by allowing policymakers to explore different decarbonisation options in a virtual world and generate a better understanding of the policy domain. While many energy policies are backed by computational models, we do not know exactly how and when policymakers use models, and to what extend policymakers influence modelling performed. We take these gaps as a starting point to empirically investigate the twofold processual interaction between computational energy modelling and energy policymaking.

Although energy models advance rapidly in terms of technical and techno-economic details, social and political aspects and environmental burdens beyond greenhouse gas emissions are currently underrepresented. However, in light of the European Green Deal and the EU Energy Union Strategy, models must advance in terms of social and environmental considerations to support decision- and policymakers in adequately addressing that environmental burden and to put "citizens at its core" of the energy transition. In this deliverable, we present key user-needs for environmental and social aspects that need to be better represented in energy system models (Section 2), and how we have developed and adapted the modelling tools ENVIRO, QTDIAN, and ATOM in response to the identified user needs. We show three main user needs regarding social aspects, specifically (i) social impacts on energy politics and policies, (ii) the social acceptance of energy technologies and infrastructure, and (iii) consumers' behavior in energy models. We furthermore show that users consider relevant the following factors within the environmental aspects of energy scenarios: (iv) demand of raw materials/ circularity, (v) the implications on nature and biodiversity, as well as (vi) full life-cycle impacts and externalization. ENVIRO and QTDIAN are being developed within SENTINEL in a participatory process by engaging with stakeholders in the information and development stages of the model implementation. In contrast, ATOM is adapted by considering user-needs especially in the implementation stage. We conclude that we have benefited from the insights of model users and other stakeholders, and that this will allow us to make our modelling tools fit-for-purpose. All three modelling tools will support decision-makers by answering the most important of the questions users have risen within the SENTINEL stakeholder engagement process. Model-linking within the WP2 and other WPs will ensure that the understanding of environmental and social aspects is ...

To achieve the European Union's target for climate neutrality by 2050 reduced energy demand will make the transition process faster and cheaper. The role of policies that support energy efficiency measures and demand-side management practices will be critical and to ensure that energy demand models are relevant to policymakers and other end-users, understanding how to further improve the models and whether they are tailored to user needs to support efficient decision-making processes is crucial. So far though, no scientific studies have examined the key user needs for energy demand modelling in the context of the climate neutrality targets. In this article we address this gap using a multi-method approach based on empirical and desk research. Through survey and stakeholder meetings and workshops we identify user needs of different stakeholder groups, and we highlight the direction in which energy demand models need to be improved to be relevant to their users. Through a detailed review of existing energy demand models, we provide a full understanding of the key characteristics and capabilities of existing tools, and we identify their limitations and gaps. Our findings show that classical demand-related questions remain important to model users, while most of the existing models can answer these questions. Furthermore, we show that some of the user needs related to sectoral demand modelling, dictated by the latest policy developments, are under-researched and are not addressed by existing tools.