Notre Dame researchers create new tool to anaylze carbon capture technology.

The built environment is a significant contributor to climate change, but it also offers a vast potential for mitigation and adaptation strategies. This potential is driven by the fact that the built environment is a complex system with a wide range of stakeholders, including architects, engineers, policymakers, and citizens. This complexity allows for a diverse range of solutions, from individual actions to large-scale infrastructure projects. The built environment’s impact on climate change is multifaceted, encompassing:

* **Energy consumption:** Buildings and infrastructure consume vast amounts of energy, often relying on fossil fuels. This contributes to greenhouse gas emissions.

This innovative approach utilizes machine learning to analyze building data, including construction materials, building size, and location. By identifying patterns and correlations within this data, the researchers can predict the embodied carbon of a building with a high degree of accuracy. The study, published in the journal “Buildings,” highlights the potential of machine learning to revolutionize the design and construction of buildings, leading to more sustainable and environmentally friendly buildings.

This research, published in the “Journal of Urban Planning and Development,” highlights the potential of urban planning to significantly reduce carbon emissions. This research is significant because it provides a practical and actionable framework for cities to reduce their carbon footprint. **Key findings:**

* **Emissions-intensive geographic zones:** Hu and Ghorbany identified specific areas within the city that are responsible for a disproportionate amount of emissions. These zones often include industrial areas, transportation hubs, and areas with high population density.

The authors argue that the reuse of existing buildings is a crucial strategy for sustainable development, and that it can help to reduce greenhouse gas emissions, conserve resources, and create jobs. The authors propose a framework for evaluating the feasibility of retrofitting existing buildings. This framework considers factors such as building age, energy efficiency, and the availability of funding. The framework also considers the potential impact on the surrounding environment and the community.

Ghorbany’s team worked on a project that involved analyzing the impact of climate change on the urban environment. This project focused on the city of New York, specifically on the impact of climate change on the city’s infrastructure. The team’s findings revealed that climate change is having a significant impact on the city’s infrastructure, leading to increased vulnerability to extreme weather events. This vulnerability is particularly pronounced in areas with older infrastructure, such as bridges, tunnels, and subway systems.