Tag: digital tools
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Energy Plus in Colab
Run EnergyPlus building energy simulations in Google Colab — no local install needed. What it does One script sets everything up inside a Colab runtime:
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CityGML Browser
A lightweight web browser for interacting with and exploring CityGML datasets.
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SBE Viewer
The GIS Viewer Application is a React-based project designed to load, view, and filter GIS files. It provides a user-friendly interface for visualising geographic data and supports various file formats. Features
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Python for AEC Researchers
This repository contains the source for the Python for AEC Researchers book.It is designed for BT researchers, research assistants, and supervisors who want to use Python for data analysis, automation, and reproducible research. Run interactively:Many chapters and exercises are Jupyter notebooks. You can launch them in Google Colab or run locally with AnacondaThe book can be read online (here).
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ACE MR Studio Demo
An interactive mixed-reality urban visualisation platform built for the ACE MR Studio at Chalmers University of Technology. The application provides multiple data visualisation layers for urban planning, environmental analysis, and stakeholder engagement.
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Early-stage Building Energy Dataset
This repository contains materials for my Xinyue Wang’s research on creating machine learning models to predict residential building energy demand from early-stage architectural design variables. Research focus The PhD project investigates how simple architectural design variables (shape, orientation, glazing ratio, building compactness, etc.) influence annual energy demand. The goal is to produce fast, accurate surrogate…
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From Architecture to Machine Learning: Xinyue Wang on Making Early-Stage Energy Optimisation Practical
What if predicting building energy demand did not require long simulation runs, heavy workflows, or massive datasets? Xinyue Wang recently defended her PhD, “Leveraging Machine Learning to Improve Early-stage Building Energy Optimization.” Originally trained as an architect, her research sits at the intersection of building energy simulation and machine learning. Her work focuses on making…
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Creating the ACE Mixed Reality Studio
Complex urban simulations are often difficult to discuss collectively. Results live on individual screens, in reports, or PowerPoint presentations, making shared immersive interpretation challenging. The Research Area Sustainable Built Environments (SBE) at Chalmers developed the ACE Mixed Reality Studio to address this problem. The studio combines a physical model of the Chalmers Campus with Mixed…
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Sanjay has successfully defended his PhD
On 29th November, Sanjay Somanath successfully defended his PhD thesis, titled “Instruments of Inquiry for Urban Social Sustainability: Activity-Based Urban Accessibility Modelling in Neighbourhood Planning,”. In his thesis, Sanjay explored questions such as, “How can urban practitioners incorporate residents’ perspectives into neighbourhood planning?” and “How can computational methods help operationalise urban social sustainability?” through the lens of activity-based urban accessibility…
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Interview with Sanjay before his PhD Defence
On 15th November, Sanjay Somanath was interviewed by Catharina Björk about his research and PhD life. Sanjay is set to defend his PhD thesis, titled “Instruments of Inquiry for Urban Social Sustainability: Activity-Based Urban Accessibility Modelling in Neighbourhood Planning,” on 29th November. In his thesis, Sanjay explores questions such as, “How can urban practitioners incorporate residents’ perspectives into neighbourhood planning?” and “How…