Located in the quiet community of Sant Adria De Besos lies the Besos Power Station. This waste to energy power plant is responsible for providing power to over 10 municipalities of Spain and takes care of nearly half of the waste that comes into Barcelona. While this factory proves to be highly effective, several negative … Read more
Abstract The project explores innovative ways to address Barcelona’s sustainability challenges, such as carbon emissions, air pollution, and energy inefficiency. By leveraging AI, IoT sensors, and Nature-Based Solutions (NBS), the project aims to optimize municipal budgets for interventions that transform underutilized urban spaces into productive assets. The study highlights solutions like urban farming, greenery, and … Read more
Introduction: Transforming Urban Junctions for a Sustainable Future Urbanization has drastically increased impervious surfaces in cities, leading to environmental challenges such as urban heat islands, stormwater runoff, and reduced access to green spaces. Junctions and intersections, often overlooked, are some of the most impervious and environmentally stressed areas in urban landscapes. This project aims to … Read more
ARCHITECTURAL CONCEPT DECOMPOSITION | TOP DOWN APPROACH FUNCTIONS We have followed a top down approach for the creation of an algorithm that creates buildings that adapt to different climates and serve mostly to residential use. The algorithm starts dividing the plot into subplots using an optimized Voronoi segmentation, which are then arrayed and scaled in … Read more
This project envisions a transformative rewilding of the Besòs River in Santa Coloma, integrating human and ecological systems through dynamic, data-driven design. By strategically restoring habitat continuity with green corridors and innovative avian nesting prototypes, it fosters a symbiotic relationship between urban life and nature. Leveraging 3D clay-printed nests inspired by natural forms and utilizing … Read more
1.0 Concept In the evolving landscape of urban development, property rates are influenced by numerous factors, including geographical, socio-economic, and infrastructural elements. Our project, “Urban Insights: Leveraging Open Data for Smart Property Rate Predictions,” aims to create an intelligent, data-driven model to forecast property rates. This model utilizes features such as wards, property types, and … Read more
City-Oriented Modeling for Observational Radiative Thermal comfort CONCEPT The idea behind C.O.M.F.O.R.T is to provide an effective tool for architects and urban planners to design cooler and more sustainable cities, leveraging the power of machine learning and AI technologies. FACTORS OF IMPACT To create COMFORT we had to study the different factors of impact which … Read more
We embarked on a fascinating journey through the latest advancements in Image Synthesis and Language Models within the Architecture, Engineering, and Construction (AEC) industry. The course highlighted the transformative potential of generative AI, enabling architects, engineers, and designers to push the boundaries of traditional design processes, streamline workflows, and tackle complex challenges in groundbreaking ways. … Read more
The whole AEC industry is challenged by the high CO2 footprint caused by the increasing population and construction. Introducing regulations to the construction industry is a solution to reduce CO2 footprint. The workflow behind Leed mini consultant goes as follows: starting with gathering the regulation in a dataset and setting it up, training a rag … Read more
Project goal For our graph Machine Learning project we chose to work with the city of Copenhagen. Our goal was to predict the Road Noise in the city. Dataset and data preparation From the KOBENHAVNS OPEN DATASET, we obtained a dataset detailing road noise levels across Copenhagen. To fill in the gaps where data was … Read more
This project aimed to develop a daylight predictor to facilitate and generate well-informed adaptive reuse projects, with a specific focus on providing sustainable design solutions for low-income housing. Los Angeles (LA) was selected as a case study due to its proactive open data initiatives and commitment to adaptive reuse. This proposal provides a snapshot of … Read more
The idea of a ‘car-free’ city is not as easy as just banning cars but about reducing car reliance. The private car has undeniably revolutionized mobility in the 21st century. It has offered convenience, job creation and an increased freedom of movement. While a world without cars might seem unimaginable, cities globally are strategically transitioning … Read more
Con más de la mitad de la población brasileña viviendo en áreas urbanas, la necesidad de integrar la naturaleza en la vida cotidiana se vuelve crucial. La urbanización desordenada alrededor de ríos y manantiales, como ocurre en la Represa Guarapiranga en São Paulo, compromete la cobertura vegetal, causando polución y amenazando la oferta de servicios … Read more
Create a personalized robot game where users can freely choose how they interact and the game mode. Methodology Workflow A path towards robotic gaming Game Rules How this game works 01 Training Mode Similar to the single-player mode, in this mode you can train your skills so that you can perform better in the next … Read more
