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The European Union's goal of achieving climate neutrality by 2050, outlined in the European Green Deal, is supported by numerous studies providing insights into pathways and emission reduction strategies in the energy sectors. However, model comparisons of such pathways are less common due to the complex nature of climate and energy modelling. Our study brings together integrated assessment models and energy system models under a common framework to develop EU policy scenarios: a Current Trends scenario reflecting existing policies and trends and a Climate Neutrality scenario aligned with the EU's emission reduction target. Both scenarios project reduced final energy consumption by 2050, driven by increased electrification and decreased fossil fuel usage. Electricity consumption increases driven by electrification despite the improved efficiency of electrified technologies. Models align on a shift toward renewables but diverge in technology and fuel choices, reflecting various approaches to reach net-zero energy systems. Furthermore, trade-offs between energy demand and supply mitigation strategies, as well as between renewable energy, e-fuels, and CCS technologies are identified. Considering these model variations, our study highlights the importance of consistent model comparison to offer reliable recommendations to policymakers and stakeholders. We conclude that model diversity is a valuable asset when used sensibly. ISSN:0360-5442 ISSN:1873-6785 Energy, 319

The European Union's goal of achieving climate neutrality by 2050, outlined in the European Green Deal, is supported by numerous studies providing insights into pathways and emission reduction strategies in the energy sectors. However, model comparisons of such pathways are less common due to the complex nature of climate and energy modelling. Our study brings together integrated assessment models and energy system models under a common framework to develop EU policy scenarios: a Current Trends scenario reflecting existing policies and trends and a Climate Neutrality scenario aligned with the EU's emission reduction target. Both scenarios project reduced final energy consumption by 2050, driven by increased electrification and decreased fossil fuel usage. Electricity consumption increases driven by electrification despite the improved efficiency of electrified technologies. Models align on a shift toward renewables but diverge in technology and fuel choices, reflecting various approaches to reach net-zero energy systems. Furthermore, trade-offs between energy demand and supply mitigation strategies, as well as between renewable energy, e-fuels, and CCS technologies are identified. Considering these model variations, our study highlights the importance of consistent model comparison to offer reliable recommendations to policymakers and stakeholders. We conclude that model diversity is a valuable asset when used sensibly. ISSN:0360-5442 ISSN:1873-6785 Energy, 319

Algal Research 88, 104015 (2025). doi:10.1016/j.algal.2025.104015 Published by Elsevier, Amsterdam [u.a.]

Algal Research 88, 104015 (2025). doi:10.1016/j.algal.2025.104015 Published by Elsevier, Amsterdam [u.a.]

Although life cycle assessment (LCA) as a method and framework has been extensively examined in the scientific literature, a new emphasis is put on integrating evolving spatiotemporal conditions of the analysed system, aiming to promote a more robust assessment through dynamic LCA. However, dynamic LCA methodologies remain inconsistent across multiple aspects, including on time-dependency, dynamic parameters, and links with other widely applied tools, such as material stocks and flows analysis or geographic information systems. Focusing on the four main phases of the LCA framework, this work presents a systematic review of the latest scientific literature reporting on prospective LCA modelling of buildings, while covering at least one dynamic parameter, such as the decarbonisation of the energy mix. First, this research presents the bibliometric structure of 64 published documents on the dynamic LCA of buildings, through four network visualisation maps. Then, it identifies a sample of 218 documents through the literature review method, and deeply analyses a sub-sample of 34 documents to systematise the emerging knowledge on dynamism in LCA as applied to buildings. We need a more comprehensive dynamic LCA modelling framework that can assess environmental performance of multiple building types, at a high level of spatial and temporal detail. Such framework should be able to integrate dynamic parameters in a simplified manner, and allow flexible time horizons and spatial scopes. Such framework should be able to quickly provide modelling results that may inform decision-making processes in finding solutions towards the challenges of resource depletion and climate change. Renewable and Sustainable Energy Reviews, 212 ISSN:1364-0321

Although life cycle assessment (LCA) as a method and framework has been extensively examined in the scientific literature, a new emphasis is put on integrating evolving spatiotemporal conditions of the analysed system, aiming to promote a more robust assessment through dynamic LCA. However, dynamic LCA methodologies remain inconsistent across multiple aspects, including on time-dependency, dynamic parameters, and links with other widely applied tools, such as material stocks and flows analysis or geographic information systems. Focusing on the four main phases of the LCA framework, this work presents a systematic review of the latest scientific literature reporting on prospective LCA modelling of buildings, while covering at least one dynamic parameter, such as the decarbonisation of the energy mix. First, this research presents the bibliometric structure of 64 published documents on the dynamic LCA of buildings, through four network visualisation maps. Then, it identifies a sample of 218 documents through the literature review method, and deeply analyses a sub-sample of 34 documents to systematise the emerging knowledge on dynamism in LCA as applied to buildings. We need a more comprehensive dynamic LCA modelling framework that can assess environmental performance of multiple building types, at a high level of spatial and temporal detail. Such framework should be able to integrate dynamic parameters in a simplified manner, and allow flexible time horizons and spatial scopes. Such framework should be able to quickly provide modelling results that may inform decision-making processes in finding solutions towards the challenges of resource depletion and climate change. Renewable and Sustainable Energy Reviews, 212 ISSN:1364-0321