.

_bibliography/papers.bib

@@ -1,4 +1,4 @@
-@inproceedings{Jiang2024,
+@unpublished{Jiang2024,
   author    = {Ze Yu Jiang and Sofia Mujica and Maryam Almaian and Patrick Kastner},
   title     = {A Comparative Study on the Urban Weather Generator: How useful is it for urban decision-making?},
   booktitle = {Abstract for the GNI Symposium \& Expo on Artificial Intelligence for the Built World},
@@ -13,6 +13,7 @@ @inproceedings{Jiang2024
 @inproceedings{rahimi2024assessing,
   title={Assessing the Complexity Required for Enhancing Eddy3D: Validation of urbanMicroclimateFoam for Urban Heat Island Mitigation},
   author={Rahimi, Sina and Berardi, Umberto and Stone, Brian and Kastner, Patrick },
+  abstracts={Significant advances in microclimate modeling tools range from no coupling to fully coupled urban physics, requiring a trade-off between simulation speed and accuracy. In this study, we validated the "urbanMicroclimate-Foam" solver for accuracy, an essential step for ensuring reliable modeling enhancements. This involved creating a detailed 3D model and conducting transient simulations, with results compared to weather data collected from on-site weather stations at Georgia Tech. Our future aim is to integrate this approach into the Eddy3D toolkit, enhancing its HAM and VEG modules for microclimate modeling. The results demonstrate the effectiveness and versatility of these methods in various scenarios and complex modeling tasks, contributing to advancing urban climate modeling. This work supports informed decision-making on the urban heat island effect and urban sustainability.},
   booktitle = {Proceedings of the IBPC 2024 Conference},
   institution = {Georgia Institute of Technology},
   year={2024},
@@ -23,14 +24,15 @@ @inproceedings{rahimi2024assessing
 @inproceedings{rahimi2024computational,
   title={How much computational complexity is necessary to model relevant aspects in microclimate urban physics?},
   author={Rahimi, Sina and Kastner, Patrick and Berardi, Umberto},
+  abstracts = {Accurate microclimate data obtained through observation or CFD models is crucial for urban design and environmental improvements. Eddy3D is one of the tools widely used for simulating microclimate conditions. However, the tool currently lacks the incorporation of relevant urban physics into the simulation. The present research focuses on integrating the modeling of convective heat transfer and relative humidity within the Eddy3D wind module and unsteady state modeling. The study reports the approaches through simulations employing a simplified canyon model. The study site is the campus of the Toronto Metropolitan University in Toronto, Ontario. The simulation data is validated using real-time data collected from the weather station located on the roof of one of the buildings on the downtown campus. By comparing the simulated data with the real-time data, the study assesses the effectiveness of the new features and determines their appropriateness for integration into the Eddy3D tool. The findings highlight the adaptability and accuracy of the approach across various scenarios, effectively handling complex modeling to enhance the capabilities of microclimate predictions.},
   booktitle = {Proceedings of the IBPC 2024 Conference},
   institution = {Georgia Institute of Technology},
   year={2024},
   month={July},
   preview = {IBPC2024-SR-2.png}
 }
 
-@inproceedings{vangelova2024sigradi,
+@unpublished{vangelova2024sigradi,
   title = {A Computational Framework for Assessing Solar Photovoltaic Potential of Buildings Based on LiDAR and Building Footprint Data},
   author = {Vangelova, Silvia},
   year = {2024},

_data/coauthors.yml

@@ -42,3 +42,7 @@
   - firstname: ["Umberto", "U."]
     url: https://ca.linkedin.com/in/umberto-berardi-3b02958
 
+"vangelova":
+  - firstname: ["Silvia", "S."]
+    url: https://www.linkedin.com/in/silvia-vangelova-5ba9a4163
+