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Automation of urban scale building energy modeling

Using the Cornell campus as a case study

Automation of urban scale building energy modeling
  • Credits: Eesha Khanna, Timur Dogan
  • Date: August 2016 - Ongoing
  • Link:

As negative effects of climate change become increasingly prevalent, carbon emission reduction has become the need of the hour. To meet carbon reduction goals, municipalities, universities and organizations with large real estate portfolios need reliable and adaptable models that provide detailed building performance metrics to efficiently manage future energy demand. However, creating calibrated energy models at the multi-building scale is often a time-consuming task. This project investigates methodologies to partially automate the buildup and calibration of energy models for the authorsĀ“ home institution. The project explores a workflow that uses UAV photogrammetry and mesh manipulation to automate 3D model generation, metered energy data and quick surveys as inputs to generate multi-zone EnergyPlus building energy models that are then calibrated using parameter screening and optimization. The calibrated models are used to assess energy performance under the projected climate in the future and evaluate retrofitting scenarios.

About ESLAB

We investigate the intersections of architectural design, sustainability, building performance simulation and computational design. We stand for excellence in teaching and research in the area of building technology, daylight and energy modeling, passive climate control strategies and performance driven design workflows in both urban and architectural scales.

Contact

Led by: Prof. Dr. Timur Dogan
Website: Cornell AAP Profile
Email: tkdogan[at]cornell.edu

Address

Cornell University, AAP
240B Sibley Hall
Ithaca, NY 14853,USA