SimBuild2024

Author: kastnerp

_bibliography/papers.bib

@@ -55,6 +55,21 @@ @inproceedings{almaian2024heat
 }
 
 
+@inproceedings{dogan2024impact,
+  title     = {Impact and Cost Analysis of Thermal Load Electrification Measures using Automated Urban Building Energy Modeling in Ithaca, NY},
+  author    = {Dogan, Timur and Kastner, Patrick and Tseng, Hung Ming and Xu, Kewei Curtis and Others},
+  booktitle = {Proceedings of IBPSA-USA, SimBuild 2024},
+  address   = {Denver, Colorado},
+  month     = {May},
+  year      = {2024},
+  abstract = {Building decarbonization is an urgent, cross-disciplinary challenge. Holistic urban building energy models (UBEM) could enable planners and municipal government to see the bigger picture and allow for data-driven and community-engaged planning. However, UBEM adoption remains rare, especially in smaller cities, due to technical complexity, lack of data availability, and data sharing on building stock properties and energy use. This paper describes a fully automated bottom-up UBEM simulation approach that fuses geospatial municipal building records, utility billing data, and DOE BEM-derived templates for rapid and building-specific energy scenario simulation using a lower-order 5R1C model. The methods for data fusion, simulation, and result post-processing were tested successfully on a small city decarbonization case study, demonstrating feasibility and accuracy for multi-objective/stakeholder decision-making methodologies to accelerate building stock decarbonization.},
+  bibtex_show = {true},
+  pdf = {https://www.researchgate.net/publication/389174008_Impact_and_Cost_Analysis_of_Thermal_Load_Electrification_Measures_using_Automated_Urban_Building_Energy_Modeling_in_Ithaca_NY},
+  preview  = {SimBuild2024.png},
+  google_scholar_id = {7PzlFSSx8tAC}
+}
+
+
 @misc{vangelova2024gni,
   author    = {Silvia Vangelova and Patrick Kastner},
   title     = {LiDAR data for enriching open geospatial building datasets: implications for urban building energy modeling},