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I am a dedicated researcher specializing in multi-domain approaches for large-scale renovations. My focus is on assisting decision-making processes by incorporating on-site/off-site renewables and cost-effective solutions to evaluate the potential of existing neighbourhoods for climate neutrality. With expertise in energy modelling, cost analysis, and environmental impact assessment, I have developed and implemented an innovative methodology for automating energy modelling of multi-family buildings in Sweden. This approach allows for a flexible selection of output performance indicators and utilizes optimization algorithms with machine learning trained models to enhance accuracy and reduce simulation costs. The scalability of this process enables efficient assessments on a larger scale, facilitating the selection of the most suitable renovation scenarios. In addition to my research, I have experience teaching daylight and energy performance simulation tools in buildings. I have empowered students to utilize these tools effectively, enabling them to contribute to sustainable design and decision-making processes.
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