The principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) have been put forward to guide optimal sharing of data. The potential for industrial and social innovation is vast. Domain-specific metadata standards are crucial in this context, but are widely missing in the energy sector. This report provides a collaborative response from the low carbon energy research community for addressing the necessity of advancing FAIR metadata standards. We review and test existing metadata practices in the domain based on a series of community workshops. We reflect the perspectives of energy data stakeholders. The outcome is reported in terms of challenges and elicits recommendations for advancing FAIR metadata standards in the energy domain across a broad spectrum of stakeholders.

The energy sector faces constant challenges due to the anticipated green transition and the underlaying change of climate. To be able to assess potential risks during the transition towards renewable energy sources, we present ROBINE-AT, an impact-oriented climatological dataset for Austria, consisting of 41 hazard maps for the Global Warming Levels 1.0 °C (corresponding to 2001–2020), 2.0 °C, 3.0 °C and 4.0 °C. The maps cover potential hazards for Austria’s energy system due to various impacts, including heat and cold stress, wind, extreme precipitation, floods, droughts, humidity, lightning strikes, and wildfires. The data is based on six localized and bias-adjusted climate projections of the CMIP5 and CMIP6 generation. With a diverse set of indicators and a high spatial resolution of 1 km, ROBINE-AT provides an innovative blueprint for assessing climate hazards, targeting regions with complex mountainous terrain such as Austria. Additionally, insights into climate impacts on the energy sector are provided, enabling tailored risk assessments by combining the hazards with custom exposure and vulnerability data.

At a time when reducing emissions is becoming more urgent, and when climate impacts are intensifying, European regions and cities are grappling with the double challenge of planning climate mitigation and adaptation. Project KNOWING investigated how state-of-the-art scientific methods can be leveraged to assist the design of future pathways that integrate mitigation and adaptation interventions in a rational way. We present here the results of this investigation for the city of Naples, focusing on the emerging climate risks: from compound pluvial and coastal flooding, and from heatwaves. Starting from a process of stakeholder consultation and from the local SECAP plans, we defined a set of desirable mitigation and adaptation interventions. This were then simulated through specific domain models, including models of regional and urban climate, marine waves, compound flooding, health impacts, transport, energy supply and energy demand, behaviour. In addition, a model of system dynamics was implemented, to represent the key local processes that are relevant for climate impacts, mitigation and adaptation. Based on the results of both modelling approaches, we designed a local pathway of integrated mitigation and adaptation, which can serve to inform planning in the near and distant future.