I am a second year Master Geomatics Student at Delft University of Technology. I am interested in urban micro-climate modelling, deep learning, computer vision, computer graphics, 3D reconstruction. I believe high-resolution (spatial, temporal, and semantic) micro-climate prediction can significantly help to improve energy efficiency.

📖 Education

• 2022.09 - 2024.11 (now) Delft University of Technology, Netherlands, (GPA 8/10, Honours Programme)
• 2020.09 - 2022.06 University of Waterloo, Canada, (GPA 88/100, Graduated with Dean’s Honours)
• 2018.09 - 2022.06 China University of Geosciences Beijing, China, (GPA 87/100)

🔥 News

• 2024.04  🎉🎉 Passed Honours Programme at TU Delft.

📝 Publications

19th 3D Geoinfo

High resolution solar potential computation in large scale urban areas by means of semantic 3D city models

Longxiang Xu, Camilo León-Sánchez, Giorgio Agugiaro, Jantien Stoter

Code Solar energy is becoming increasingly important with the transition towards green and sustainable energy. Predicting solar irradiance is one of the core steps to optimise solar energy utilisation when planning and scheduling power grids. Accurate solar irradiance prediction can also help forecast microclimate conditions, enabling the analysis of citizens and planning of optimal intervention strategies for heating or cooling behaviour. This paper discusses a novel approach to computing the solar potential of buildings at the city level with promising scalability using semantic 3D city models. Experiments are conducted at different locations in the Netherlands. We evaluate our results by comparing them to the statistical Dutch data, and CitySim shows huge discrepancies in summer.

18th 3D Geoinfo

Shadowing Calculation on Urban Areas from Semantic 3D City Models

Longxiang Xu, Camilo León-Sánchez, Giorgio Agugiaro, Jantien Stoter

Code In this paper, we present our method to perform shadowing calculations in urban areas using semantic 3D city models, with Nightside Filtering and Bounding Volume Hierarchy for city-scale analysis acceleration. Our tests are performed in Rotterdam’s city center, a dense urban area in The Netherlands. Our initial results indicate that the computational time per 100 k grid points fluctuates within 0.2–0.7s.

🎖 Honors and Awards

• 2022.06 Graduated with Dean’s Honours， University of Waterloo
• 2021.10 Association of Ontario Land Surveyors Award, University of Waterloo
• 2020.06 First-Class Academic Scholarship (Top 2%), China University of Geosciences Beijing.
• 2019.10 First-Class Academic Scholarship (Top 2%), China University of Geosciences Beijing.

💬 Talks

• 2024.07, Solar irradiance computation in urban areas by means of semantic 3D city models, at NCG Symposium 2024
• 2024.04, Urban solar potential analysis through semantic 3D city models, at 4TU Research Day

💻 Internships

• 2021.21 - 2022.07 Big Data Analysis Intern, Computer Network Information Center, Chinese Academy of Sciences, China.