Integrating Building Information Modeling (BIM), with Building Energy Modeling (BEM) into the early stages of building design can have a significant contribution to promoting energy efficiency in buildings. This paper analyzes a possible BIM-driven BEM methodology that promotes algorithm simplicity in the energy analysis of existing buildings. Given the current limitations in interoperability between BIM and BEM tools, this study investigates whether accurate and computationally efficient energy simulations can be performed entirely within Autodesk Revit, without relying on external file exports. Autodesk Revit is considered one of the primary BIM tools in building analysis, with the possibility of performing early energy modeling using Revit Systems Analysis. The energy analysis is automated throughout the phases of creating analytical spaces and surfaces, simulating the performance with the EnergyPlus engine. This research evaluates Revit’s capability to function as both a BIM and BEM tool by analyzing a case study of an office building located in Padova, Italy. It examines the current limitations in the framework and proposes guidelines to overcome the resulting challenges. In particular, the dynamic model of the building is developed directly through Revit’s Systems Analysis, and the resulting thermal demands are compared against simulations run independently in EnergyPlus, which serve as a baseline in this study. This research contributes to the ongoing development of digital twins for existing buildings and highlights the potential of integrated BIM-BEM workflows in promoting energy-efficient retrofit strategies.

As global concerns about climate change and air quality intensify, nations are increasingly adopting sustainable transportation solutions, with electromobility emerging as a key alternative. This study investigates the factors influencing powertrain technology choice and the barriers to electric vehicle (EV) adoption in Poland, focusing on insights from technically educated youth, early-career researchers, and academic professionals. Drawing on a mixed-methods approach, the study investigates public perceptions, motivations, and challenges associated with EV uptake in a country historically reliant on fossil fuels. Key drivers such as environmental considerations, government policies, and infrastructure development are evaluated alongside persistent obstacles, including high initial purchase costs, inadequate charging networks, range anxiety, and scepticism about battery performance. While the sample is not representative of the broader Polish population, it provides insights from a technically literate cohort likely to shape future technological and policy advancements. Our findings reveal that the adoption of EVs among this group is influenced by factors such as technological innovation and government policies, while barriers include high initial costs, limited charging infrastructure, and scepticism about perceived sustainability, battery life, and performance. The research also highlights the critical role of education and awareness in shaping attitudes toward EVs. This study, though limited by sample size and demographic focus, offers valuable contributions to understanding the early-stage adoption of EVs in Poland and serves as a foundation for future research targeting a more diverse population. The applied research model is scalable, providing a framework for broader studies that could include different age groups, geographical regions, and professional sectors.